mercury-parser/dist/generate-custom-parser.js.map

{"version":3,"file":null,"sources":["../src/utils/dom/constants.js","../src/utils/dom/brs-to-ps.js","../src/utils/dom/paragraphize.js","../src/utils/dom/convert-to-paragraphs.js","../src/utils/dom/convert-node-to.js","../src/utils/dom/clean-images.js","../src/utils/dom/strip-junk-tags.js","../src/utils/dom/clean-attributes.js","../src/extractors/generic/content/scoring/constants.js","../src/extractors/generic/content/scoring/get-weight.js","../src/extractors/generic/content/scoring/get-score.js","../src/extractors/generic/content/scoring/score-commas.js","../src/extractors/generic/content/scoring/score-length.js","../src/extractors/generic/content/scoring/score-paragraph.js","../src/extractors/generic/content/scoring/set-score.js","../src/extractors/generic/content/scoring/add-score.js","../src/extractors/generic/content/scoring/add-to-parent.js","../src/extractors/generic/content/scoring/get-or-init-score.js","../src/extractors/generic/content/scoring/score-node.js","../src/extractors/generic/content/scoring/score-content.js","../src/utils/text/normalize-spaces.js","../src/utils/text/extract-from-url.js","../src/utils/text/constants.js","../src/utils/text/article-base-url.js","../src/utils/text/has-sentence-end.js","../src/extractors/generic/content/scoring/merge-siblings.js","../src/extractors/generic/content/scoring/index.js","../src/utils/dom/clean-tags.js","../src/utils/dom/make-links-absolute.js","../src/utils/dom/link-density.js","../src/utils/dom/extract-from-selectors.js","../src/utils/dom/strip-tags.js","../src/utils/dom/within-comment.js","../src/utils/dom/node-is-sufficient.js","../src/utils/dom/get-attrs.js","../src/utils/dom/set-attr.js","../src/utils/dom/set-attrs.js","../src/utils/dom/index.js","mercury.js","../scripts/templates/insert-values.js","../scripts/templates/index.js","../scripts/templates/custom-extractor.js","../scripts/templates/custom-extractor-test.js","../scripts/generate-custom-parser.js"],"sourcesContent":["// Spacer images to be removed\nexport const SPACER_RE = new RegExp('transparent|spacer|blank', 'i');\n\n// The class we will use to mark elements we want to keep\n// but would normally remove\nexport const KEEP_CLASS = 'mercury-parser-keep';\n\nexport const KEEP_SELECTORS = [\n  'iframe[src^=\"https://www.youtube.com\"]',\n  'iframe[src^=\"https://www.youtube-nocookie.com\"]',\n  'iframe[src^=\"http://www.youtube.com\"]',\n  'iframe[src^=\"https://player.vimeo\"]',\n  'iframe[src^=\"http://player.vimeo\"]',\n];\n\n// A list of tags to strip from the output if we encounter them.\nexport const STRIP_OUTPUT_TAGS = [\n  'title',\n  'script',\n  'noscript',\n  'link',\n  'style',\n  'hr',\n  'embed',\n  'iframe',\n  'object',\n];\n\n// cleanAttributes\nexport const REMOVE_ATTRS = ['style', 'align'];\nexport const REMOVE_ATTR_SELECTORS = REMOVE_ATTRS.map(selector => `[${selector}]`);\nexport const REMOVE_ATTR_LIST = REMOVE_ATTRS.join(',');\nexport const WHITELIST_ATTRS = [\n  'src',\n  'srcset',\n  'href',\n  'class',\n  'id',\n  'alt',\n  'xlink:href',\n  'width',\n  'height',\n];\n\nexport const WHITELIST_ATTRS_RE = new RegExp(`^(${WHITELIST_ATTRS.join('|')})$`, 'i');\n\n// removeEmpty\nexport const REMOVE_EMPTY_TAGS = ['p'];\nexport const REMOVE_EMPTY_SELECTORS = REMOVE_EMPTY_TAGS.map(tag => `${tag}:empty`).join(',');\n\n// cleanTags\nexport const CLEAN_CONDITIONALLY_TAGS = ['ul', 'ol', 'table', 'div', 'button', 'form'].join(',');\n\n// cleanHeaders\nconst HEADER_TAGS = ['h2', 'h3', 'h4', 'h5', 'h6'];\nexport const HEADER_TAG_LIST = HEADER_TAGS.join(',');\n\n// // CONTENT FETCHING CONSTANTS ////\n\n// A list of strings that can be considered unlikely candidates when\n// extracting content from a resource. These strings are joined together\n// and then tested for existence using re:test, so may contain simple,\n// non-pipe style regular expression queries if necessary.\nexport const UNLIKELY_CANDIDATES_BLACKLIST = [\n  'ad-break',\n  'adbox',\n  'advert',\n  'addthis',\n  'agegate',\n  'aux',\n  'blogger-labels',\n  'combx',\n  'comment',\n  'conversation',\n  'disqus',\n  'entry-unrelated',\n  'extra',\n  'foot',\n  // 'form', // This is too generic, has too many false positives\n  'header',\n  'hidden',\n  'loader',\n  'login',                     // Note: This can hit 'blogindex'.\n  'menu',\n  'meta',\n  'nav',\n  'outbrain',\n  'pager',\n  'pagination',\n  'predicta',                  // readwriteweb inline ad box\n  'presence_control_external', // lifehacker.com container full of false positives\n  'popup',\n  'printfriendly',\n  'related',\n  'remove',\n  'remark',\n  'rss',\n  'share',\n  'shoutbox',\n  'sidebar',\n  'sociable',\n  'sponsor',\n  'taboola',\n  'tools',\n];\n\n// A list of strings that can be considered LIKELY candidates when\n// extracting content from a resource. Essentially, the inverse of the\n// blacklist above - if something matches both blacklist and whitelist,\n// it is kept. This is useful, for example, if something has a className\n// of \"rss-content entry-content\". It matched 'rss', so it would normally\n// be removed, however, it's also the entry content, so it should be left\n// alone.\n//\n// These strings are joined together and then tested for existence using\n// re:test, so may contain simple, non-pipe style regular expression queries\n// if necessary.\nexport const UNLIKELY_CANDIDATES_WHITELIST = [\n  'and',\n  'article',\n  'body',\n  'blogindex',\n  'column',\n  'content',\n  'entry-content-asset',\n  'format', // misuse of form\n  'hfeed',\n  'hentry',\n  'hatom',\n  'main',\n  'page',\n  'posts',\n  'shadow',\n];\n\n// A list of tags which, if found inside, should cause a <div /> to NOT\n// be turned into a paragraph tag. Shallow div tags without these elements\n// should be turned into <p /> tags.\nexport const DIV_TO_P_BLOCK_TAGS = [\n  'a',\n  'blockquote',\n  'dl',\n  'div',\n  'img',\n  'p',\n  'pre',\n  'table',\n].join(',');\n\n// A list of tags that should be ignored when trying to find the top candidate\n// for a document.\nexport const NON_TOP_CANDIDATE_TAGS = [\n  'br',\n  'b',\n  'i',\n  'label',\n  'hr',\n  'area',\n  'base',\n  'basefont',\n  'input',\n  'img',\n  'link',\n  'meta',\n];\n\nexport const NON_TOP_CANDIDATE_TAGS_RE =\n  new RegExp(`^(${NON_TOP_CANDIDATE_TAGS.join('|')})$`, 'i');\n\n// A list of selectors that specify, very clearly, either hNews or other\n// very content-specific style content, like Blogger templates.\n// More examples here: http://microformats.org/wiki/blog-post-formats\nexport const HNEWS_CONTENT_SELECTORS = [\n  ['.hentry', '.entry-content'],\n  ['entry', '.entry-content'],\n  ['.entry', '.entry_content'],\n  ['.post', '.postbody'],\n  ['.post', '.post_body'],\n  ['.post', '.post-body'],\n];\n\nexport const PHOTO_HINTS = [\n  'figure',\n  'photo',\n  'image',\n  'caption',\n];\nexport const PHOTO_HINTS_RE = new RegExp(PHOTO_HINTS.join('|'), 'i');\n\n// A list of strings that denote a positive scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nexport const POSITIVE_SCORE_HINTS = [\n  'article',\n  'articlecontent',\n  'instapaper_body',\n  'blog',\n  'body',\n  'content',\n  'entry-content-asset',\n  'entry',\n  'hentry',\n  'main',\n  'Normal',\n  'page',\n  'pagination',\n  'permalink',\n  'post',\n  'story',\n  'text',\n  '[-_]copy', // usatoday\n  '\\\\Bcopy',\n];\n\n// The above list, joined into a matching regular expression\nexport const POSITIVE_SCORE_RE = new RegExp(POSITIVE_SCORE_HINTS.join('|'), 'i');\n\n// Readability publisher-specific guidelines\nexport const READABILITY_ASSET = new RegExp('entry-content-asset', 'i');\n\n// A list of strings that denote a negative scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nexport const NEGATIVE_SCORE_HINTS = [\n  'adbox',\n  'advert',\n  'author',\n  'bio',\n  'bookmark',\n  'bottom',\n  'byline',\n  'clear',\n  'com-',\n  'combx',\n  'comment',\n  'comment\\\\B',\n  'contact',\n  'copy',\n  'credit',\n  'crumb',\n  'date',\n  'deck',\n  'excerpt',\n  'featured', // tnr.com has a featured_content which throws us off\n  'foot',\n  'footer',\n  'footnote',\n  'graf',\n  'head',\n  'info',\n  'infotext', // newscientist.com copyright\n  'instapaper_ignore',\n  'jump',\n  'linebreak',\n  'link',\n  'masthead',\n  'media',\n  'meta',\n  'modal',\n  'outbrain', // slate.com junk\n  'promo',\n  'pr_', // autoblog - press release\n  'related',\n  'respond',\n  'roundcontent', // lifehacker restricted content warning\n  'scroll',\n  'secondary',\n  'share',\n  'shopping',\n  'shoutbox',\n  'side',\n  'sidebar',\n  'sponsor',\n  'stamp',\n  'sub',\n  'summary',\n  'tags',\n  'tools',\n  'widget',\n];\n// The above list, joined into a matching regular expression\nexport const NEGATIVE_SCORE_RE = new RegExp(NEGATIVE_SCORE_HINTS.join('|'), 'i');\n\n// XPath to try to determine if a page is wordpress. Not always successful.\nexport const IS_WP_SELECTOR = 'meta[name=generator][value^=WordPress]';\n\n// Match a digit. Pretty clear.\nexport const DIGIT_RE = new RegExp('[0-9]');\n\n// A list of words that, if found in link text or URLs, likely mean that\n// this link is not a next page link.\nexport const EXTRANEOUS_LINK_HINTS = [\n  'print',\n  'archive',\n  'comment',\n  'discuss',\n  'e-mail',\n  'email',\n  'share',\n  'reply',\n  'all',\n  'login',\n  'sign',\n  'single',\n  'adx',\n  'entry-unrelated',\n];\nexport const EXTRANEOUS_LINK_HINTS_RE = new RegExp(EXTRANEOUS_LINK_HINTS.join('|'), 'i');\n\n// Match any phrase that looks like it could be page, or paging, or pagination\nexport const PAGE_RE = new RegExp('pag(e|ing|inat)', 'i');\n\n// Match any link text/classname/id that looks like it could mean the next\n// page. Things like: next, continue, >, >>, » but not >|, »| as those can\n// mean last page.\n// export const NEXT_LINK_TEXT_RE = new RegExp('(next|weiter|continue|>([^\\|]|$)|»([^\\|]|$))', 'i');\nexport const NEXT_LINK_TEXT_RE = /(next|weiter|continue|>([^|]|$)|»([^|]|$))/i;\n\n// Match any link text/classname/id that looks like it is an end link: things\n// like \"first\", \"last\", \"end\", etc.\nexport const CAP_LINK_TEXT_RE = new RegExp('(first|last|end)', 'i');\n\n// Match any link text/classname/id that looks like it means the previous\n// page.\nexport const PREV_LINK_TEXT_RE = new RegExp('(prev|earl|old|new|<|«)', 'i');\n\n// Match 2 or more consecutive <br> tags\nexport const BR_TAGS_RE = new RegExp('(<br[^>]*>[ \\n\\r\\t]*){2,}', 'i');\n\n// Match 1 BR tag.\nexport const BR_TAG_RE = new RegExp('<br[^>]*>', 'i');\n\n// A list of all of the block level tags known in HTML5 and below. Taken from\n// http://bit.ly/qneNIT\nexport const BLOCK_LEVEL_TAGS = [\n  'article',\n  'aside',\n  'blockquote',\n  'body',\n  'br',\n  'button',\n  'canvas',\n  'caption',\n  'col',\n  'colgroup',\n  'dd',\n  'div',\n  'dl',\n  'dt',\n  'embed',\n  'fieldset',\n  'figcaption',\n  'figure',\n  'footer',\n  'form',\n  'h1',\n  'h2',\n  'h3',\n  'h4',\n  'h5',\n  'h6',\n  'header',\n  'hgroup',\n  'hr',\n  'li',\n  'map',\n  'object',\n  'ol',\n  'output',\n  'p',\n  'pre',\n  'progress',\n  'section',\n  'table',\n  'tbody',\n  'textarea',\n  'tfoot',\n  'th',\n  'thead',\n  'tr',\n  'ul',\n  'video',\n];\nexport const BLOCK_LEVEL_TAGS_RE = new RegExp(`^(${BLOCK_LEVEL_TAGS.join('|')})$`, 'i');\n\n// The removal is implemented as a blacklist and whitelist, this test finds\n// blacklisted elements that aren't whitelisted. We do this all in one\n// expression-both because it's only one pass, and because this skips the\n// serialization for whitelisted nodes.\nconst candidatesBlacklist = UNLIKELY_CANDIDATES_BLACKLIST.join('|');\nexport const CANDIDATES_BLACKLIST = new RegExp(candidatesBlacklist, 'i');\n\nconst candidatesWhitelist = UNLIKELY_CANDIDATES_WHITELIST.join('|');\nexport const CANDIDATES_WHITELIST = new RegExp(candidatesWhitelist, 'i');\n\nexport const UNLIKELY_RE = new RegExp(`!(${candidatesWhitelist})|(${candidatesBlacklist})`, 'i');\n\nexport const PARAGRAPH_SCORE_TAGS = new RegExp('^(p|li|span|pre)$', 'i');\nexport const CHILD_CONTENT_TAGS = new RegExp('^(td|blockquote|ol|ul|dl)$', 'i');\nexport const BAD_TAGS = new RegExp('^(address|form)$', 'i');\n\nexport const HTML_OR_BODY_RE = new RegExp('^(html|body)$', 'i');\n","import { paragraphize } from './index';\n\n// ## NOTES:\n// Another good candidate for refactoring/optimizing.\n// Very imperative code, I don't love it. - AP\n\n//  Given cheerio object, convert consecutive <br /> tags into\n//  <p /> tags instead.\n//\n//  :param $: A cheerio object\n\nexport default function brsToPs($) {\n  let collapsing = false;\n  $('br').each((index, element) => {\n    const $element = $(element);\n    const nextElement = $element.next().get(0);\n\n    if (nextElement && nextElement.tagName.toLowerCase() === 'br') {\n      collapsing = true;\n      $element.remove();\n    } else if (collapsing) {\n      collapsing = false;\n      // $(element).replaceWith('<p />')\n      paragraphize(element, $, true);\n    }\n  });\n\n  return $;\n}\n","import { BLOCK_LEVEL_TAGS_RE } from './constants';\n\n// Given a node, turn it into a P if it is not already a P, and\n// make sure it conforms to the constraints of a P tag (I.E. does\n// not contain any other block tags.)\n//\n// If the node is a <br />, it treats the following inline siblings\n// as if they were its children.\n//\n// :param node: The node to paragraphize; this is a raw node\n// :param $: The cheerio object to handle dom manipulation\n// :param br: Whether or not the passed node is a br\n\nexport default function paragraphize(node, $, br = false) {\n  const $node = $(node);\n\n  if (br) {\n    let sibling = node.nextSibling;\n    const p = $('<p></p>');\n\n    // while the next node is text or not a block level element\n    // append it to a new p node\n    while (sibling && !(sibling.tagName && BLOCK_LEVEL_TAGS_RE.test(sibling.tagName))) {\n      const nextSibling = sibling.nextSibling;\n      $(sibling).appendTo(p);\n      sibling = nextSibling;\n    }\n\n    $node.replaceWith(p);\n    $node.remove();\n    return $;\n  }\n\n  return $;\n}\n","import { brsToPs, convertNodeTo } from 'utils/dom';\n\nimport { DIV_TO_P_BLOCK_TAGS } from './constants';\n\nfunction convertDivs($) {\n  $('div').each((index, div) => {\n    const $div = $(div);\n    const convertable = $div.children(DIV_TO_P_BLOCK_TAGS).length === 0;\n\n    if (convertable) {\n      convertNodeTo($div, $, 'p');\n    }\n  });\n\n  return $;\n}\n\nfunction convertSpans($) {\n  $('span').each((index, span) => {\n    const $span = $(span);\n    const convertable = $span.parents('p, div').length === 0;\n    if (convertable) {\n      convertNodeTo($span, $, 'p');\n    }\n  });\n\n  return $;\n}\n\n// Loop through the provided doc, and convert any p-like elements to\n// actual paragraph tags.\n//\n//   Things fitting this criteria:\n//   * Multiple consecutive <br /> tags.\n//   * <div /> tags without block level elements inside of them\n//   * <span /> tags who are not children of <p /> or <div /> tags.\n//\n//   :param $: A cheerio object to search\n//   :return cheerio object with new p elements\n//   (By-reference mutation, though. Returned just for convenience.)\n\nexport default function convertToParagraphs($) {\n  $ = brsToPs($);\n  $ = convertDivs($);\n  $ = convertSpans($);\n\n  return $;\n}\n","import { getAttrs } from 'utils/dom';\n\nexport default function convertNodeTo($node, $, tag = 'p') {\n  const node = $node.get(0);\n  if (!node) {\n    return $;\n  }\n  const attrs = getAttrs(node) || {};\n  // console.log(attrs)\n\n  const attribString = Reflect.ownKeys(attrs)\n                              .map(key => `${key}=${attrs[key]}`)\n                              .join(' ');\n  let html;\n\n  if ($.browser) {\n    // In the browser, the contents of noscript tags aren't rendered, therefore\n    // transforms on the noscript tag (commonly used for lazy-loading) don't work\n    // as expected. This test case handles that\n    html = node.tagName.toLowerCase() === 'noscript' ? $node.text() : $node.html();\n  } else {\n    html = $node.contents();\n  }\n  $node.replaceWith(\n    `<${tag} ${attribString}>${html}</${tag}>`\n  );\n  return $;\n}\n","import { SPACER_RE } from './constants';\n\nfunction cleanForHeight($img, $) {\n  const height = parseInt($img.attr('height'), 10);\n  const width = parseInt($img.attr('width'), 10) || 20;\n\n  // Remove images that explicitly have very small heights or\n  // widths, because they are most likely shims or icons,\n  // which aren't very useful for reading.\n  if ((height || 20) < 10 || width < 10) {\n    $img.remove();\n  } else if (height) {\n    // Don't ever specify a height on images, so that we can\n    // scale with respect to width without screwing up the\n    // aspect ratio.\n    $img.removeAttr('height');\n  }\n\n  return $;\n}\n\n// Cleans out images where the source string matches transparent/spacer/etc\n// TODO This seems very aggressive - AP\nfunction removeSpacers($img, $) {\n  if (SPACER_RE.test($img.attr('src'))) {\n    $img.remove();\n  }\n\n  return $;\n}\n\nexport default function cleanImages($article, $) {\n  $article.find('img').each((index, img) => {\n    const $img = $(img);\n\n    cleanForHeight($img, $);\n    removeSpacers($img, $);\n  });\n\n  return $;\n}\n","import {\n  STRIP_OUTPUT_TAGS,\n  KEEP_CLASS,\n} from './constants';\n\nexport default function stripJunkTags(article, $, tags = []) {\n  if (tags.length === 0) {\n    tags = STRIP_OUTPUT_TAGS;\n  }\n\n  // Remove matching elements, but ignore\n  // any element with a class of mercury-parser-keep\n  $(tags.join(','), article).not(`.${KEEP_CLASS}`).remove();\n\n  return $;\n}\n","import {\n  getAttrs,\n  setAttrs,\n} from 'utils/dom';\n\nimport {\n  WHITELIST_ATTRS_RE,\n  KEEP_CLASS,\n} from './constants';\n\nfunction removeAllButWhitelist($article, $) {\n  $article.find('*').each((index, node) => {\n    const attrs = getAttrs(node);\n\n    setAttrs(node, Reflect.ownKeys(attrs).reduce((acc, attr) => {\n      if (WHITELIST_ATTRS_RE.test(attr)) {\n        return { ...acc, [attr]: attrs[attr] };\n      }\n\n      return acc;\n    }, {}));\n  });\n\n  // Remove the mercury-parser-keep class from result\n  $(`.${KEEP_CLASS}`, $article).removeClass(KEEP_CLASS);\n\n  return $article;\n}\n\n// function removeAttrs(article, $) {\n//   REMOVE_ATTRS.forEach((attr) => {\n//     $(`[${attr}]`, article).removeAttr(attr);\n//   });\n// }\n\n// Remove attributes like style or align\nexport default function cleanAttributes($article, $) {\n  // Grabbing the parent because at this point\n  // $article will be wrapped in a div which will\n  // have a score set on it.\n  return removeAllButWhitelist(\n    $article.parent().length ? $article.parent() : $article,\n    $,\n  );\n}\n","// // CONTENT FETCHING CONSTANTS ////\n\n// A list of strings that can be considered unlikely candidates when\n// extracting content from a resource. These strings are joined together\n// and then tested for existence using re:test, so may contain simple,\n// non-pipe style regular expression queries if necessary.\nexport const UNLIKELY_CANDIDATES_BLACKLIST = [\n  'ad-break',\n  'adbox',\n  'advert',\n  'addthis',\n  'agegate',\n  'aux',\n  'blogger-labels',\n  'combx',\n  'comment',\n  'conversation',\n  'disqus',\n  'entry-unrelated',\n  'extra',\n  'foot',\n  'form',\n  'header',\n  'hidden',\n  'loader',\n  'login',                     // Note: This can hit 'blogindex'.\n  'menu',\n  'meta',\n  'nav',\n  'pager',\n  'pagination',\n  'predicta',                  // readwriteweb inline ad box\n  'presence_control_external', // lifehacker.com container full of false positives\n  'popup',\n  'printfriendly',\n  'related',\n  'remove',\n  'remark',\n  'rss',\n  'share',\n  'shoutbox',\n  'sidebar',\n  'sociable',\n  'sponsor',\n  'tools',\n];\n\n// A list of strings that can be considered LIKELY candidates when\n// extracting content from a resource. Essentially, the inverse of the\n// blacklist above - if something matches both blacklist and whitelist,\n// it is kept. This is useful, for example, if something has a className\n// of \"rss-content entry-content\". It matched 'rss', so it would normally\n// be removed, however, it's also the entry content, so it should be left\n// alone.\n//\n// These strings are joined together and then tested for existence using\n// re:test, so may contain simple, non-pipe style regular expression queries\n// if necessary.\nexport const UNLIKELY_CANDIDATES_WHITELIST = [\n  'and',\n  'article',\n  'body',\n  'blogindex',\n  'column',\n  'content',\n  'entry-content-asset',\n  'format', // misuse of form\n  'hfeed',\n  'hentry',\n  'hatom',\n  'main',\n  'page',\n  'posts',\n  'shadow',\n];\n\n// A list of tags which, if found inside, should cause a <div /> to NOT\n// be turned into a paragraph tag. Shallow div tags without these elements\n// should be turned into <p /> tags.\nexport const DIV_TO_P_BLOCK_TAGS = [\n  'a',\n  'blockquote',\n  'dl',\n  'div',\n  'img',\n  'p',\n  'pre',\n  'table',\n].join(',');\n\n// A list of tags that should be ignored when trying to find the top candidate\n// for a document.\nexport const NON_TOP_CANDIDATE_TAGS = [\n  'br',\n  'b',\n  'i',\n  'label',\n  'hr',\n  'area',\n  'base',\n  'basefont',\n  'input',\n  'img',\n  'link',\n  'meta',\n];\n\nexport const NON_TOP_CANDIDATE_TAGS_RE =\n  new RegExp(`^(${NON_TOP_CANDIDATE_TAGS.join('|')})$`, 'i');\n\n// A list of selectors that specify, very clearly, either hNews or other\n// very content-specific style content, like Blogger templates.\n// More examples here: http://microformats.org/wiki/blog-post-formats\nexport const HNEWS_CONTENT_SELECTORS = [\n  ['.hentry', '.entry-content'],\n  ['entry', '.entry-content'],\n  ['.entry', '.entry_content'],\n  ['.post', '.postbody'],\n  ['.post', '.post_body'],\n  ['.post', '.post-body'],\n];\n\nexport const PHOTO_HINTS = [\n  'figure',\n  'photo',\n  'image',\n  'caption',\n];\nexport const PHOTO_HINTS_RE = new RegExp(PHOTO_HINTS.join('|'), 'i');\n\n// A list of strings that denote a positive scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nexport const POSITIVE_SCORE_HINTS = [\n  'article',\n  'articlecontent',\n  'instapaper_body',\n  'blog',\n  'body',\n  'content',\n  'entry-content-asset',\n  'entry',\n  'hentry',\n  'main',\n  'Normal',\n  'page',\n  'pagination',\n  'permalink',\n  'post',\n  'story',\n  'text',\n  '[-_]copy', // usatoday\n  '\\\\Bcopy',\n];\n\n// The above list, joined into a matching regular expression\nexport const POSITIVE_SCORE_RE = new RegExp(POSITIVE_SCORE_HINTS.join('|'), 'i');\n\n// Readability publisher-specific guidelines\nexport const READABILITY_ASSET = new RegExp('entry-content-asset', 'i');\n\n// A list of strings that denote a negative scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nexport const NEGATIVE_SCORE_HINTS = [\n  'adbox',\n  'advert',\n  'author',\n  'bio',\n  'bookmark',\n  'bottom',\n  'byline',\n  'clear',\n  'com-',\n  'combx',\n  'comment',\n  'comment\\\\B',\n  'contact',\n  'copy',\n  'credit',\n  'crumb',\n  'date',\n  'deck',\n  'excerpt',\n  'featured', // tnr.com has a featured_content which throws us off\n  'foot',\n  'footer',\n  'footnote',\n  'graf',\n  'head',\n  'info',\n  'infotext', // newscientist.com copyright\n  'instapaper_ignore',\n  'jump',\n  'linebreak',\n  'link',\n  'masthead',\n  'media',\n  'meta',\n  'modal',\n  'outbrain', // slate.com junk\n  'promo',\n  'pr_', // autoblog - press release\n  'related',\n  'respond',\n  'roundcontent', // lifehacker restricted content warning\n  'scroll',\n  'secondary',\n  'share',\n  'shopping',\n  'shoutbox',\n  'side',\n  'sidebar',\n  'sponsor',\n  'stamp',\n  'sub',\n  'summary',\n  'tags',\n  'tools',\n  'widget',\n];\n// The above list, joined into a matching regular expression\nexport const NEGATIVE_SCORE_RE = new RegExp(NEGATIVE_SCORE_HINTS.join('|'), 'i');\n\n// Match a digit. Pretty clear.\nexport const DIGIT_RE = new RegExp('[0-9]');\n\n// Match 2 or more consecutive <br> tags\nexport const BR_TAGS_RE = new RegExp('(<br[^>]*>[ \\n\\r\\t]*){2,}', 'i');\n\n// Match 1 BR tag.\nexport const BR_TAG_RE = new RegExp('<br[^>]*>', 'i');\n\n// A list of all of the block level tags known in HTML5 and below. Taken from\n// http://bit.ly/qneNIT\nexport const BLOCK_LEVEL_TAGS = [\n  'article',\n  'aside',\n  'blockquote',\n  'body',\n  'br',\n  'button',\n  'canvas',\n  'caption',\n  'col',\n  'colgroup',\n  'dd',\n  'div',\n  'dl',\n  'dt',\n  'embed',\n  'fieldset',\n  'figcaption',\n  'figure',\n  'footer',\n  'form',\n  'h1',\n  'h2',\n  'h3',\n  'h4',\n  'h5',\n  'h6',\n  'header',\n  'hgroup',\n  'hr',\n  'li',\n  'map',\n  'object',\n  'ol',\n  'output',\n  'p',\n  'pre',\n  'progress',\n  'section',\n  'table',\n  'tbody',\n  'textarea',\n  'tfoot',\n  'th',\n  'thead',\n  'tr',\n  'ul',\n  'video',\n];\nexport const BLOCK_LEVEL_TAGS_RE = new RegExp(`^(${BLOCK_LEVEL_TAGS.join('|')})$`, 'i');\n\n// The removal is implemented as a blacklist and whitelist, this test finds\n// blacklisted elements that aren't whitelisted. We do this all in one\n// expression-both because it's only one pass, and because this skips the\n// serialization for whitelisted nodes.\nconst candidatesBlacklist = UNLIKELY_CANDIDATES_BLACKLIST.join('|');\nexport const CANDIDATES_BLACKLIST = new RegExp(candidatesBlacklist, 'i');\n\nconst candidatesWhitelist = UNLIKELY_CANDIDATES_WHITELIST.join('|');\nexport const CANDIDATES_WHITELIST = new RegExp(candidatesWhitelist, 'i');\n\nexport const UNLIKELY_RE = new RegExp(`!(${candidatesWhitelist})|(${candidatesBlacklist})`, 'i');\n\nexport const PARAGRAPH_SCORE_TAGS = new RegExp('^(p|li|span|pre)$', 'i');\nexport const CHILD_CONTENT_TAGS = new RegExp('^(td|blockquote|ol|ul|dl)$', 'i');\nexport const BAD_TAGS = new RegExp('^(address|form)$', 'i');\n\nexport const HTML_OR_BODY_RE = new RegExp('^(html|body)$', 'i');\n","import {\n  NEGATIVE_SCORE_RE,\n  POSITIVE_SCORE_RE,\n  PHOTO_HINTS_RE,\n  READABILITY_ASSET,\n} from './constants';\n\n// Get the score of a node based on its className and id.\nexport default function getWeight(node) {\n  const classes = node.attr('class');\n  const id = node.attr('id');\n  let score = 0;\n\n  if (id) {\n    // if id exists, try to score on both positive and negative\n    if (POSITIVE_SCORE_RE.test(id)) {\n      score += 25;\n    }\n    if (NEGATIVE_SCORE_RE.test(id)) {\n      score -= 25;\n    }\n  }\n\n  if (classes) {\n    if (score === 0) {\n      // if classes exist and id did not contribute to score\n      // try to score on both positive and negative\n      if (POSITIVE_SCORE_RE.test(classes)) {\n        score += 25;\n      }\n      if (NEGATIVE_SCORE_RE.test(classes)) {\n        score -= 25;\n      }\n    }\n\n    // even if score has been set by id, add score for\n    // possible photo matches\n    // \"try to keep photos if we can\"\n    if (PHOTO_HINTS_RE.test(classes)) {\n      score += 10;\n    }\n\n    // add 25 if class matches entry-content-asset,\n    // a class apparently instructed for use in the\n    // Readability publisher guidelines\n    // https://www.readability.com/developers/guidelines\n    if (READABILITY_ASSET.test(classes)) {\n      score += 25;\n    }\n  }\n\n  return score;\n}\n","// returns the score of a node based on\n// the node's score attribute\n// returns null if no score set\nexport default function getScore($node) {\n  return parseFloat($node.attr('score')) || null;\n}\n","// return 1 for every comma in text\nexport default function scoreCommas(text) {\n  return (text.match(/,/g) || []).length;\n}\n","const idkRe = new RegExp('^(p|pre)$', 'i');\n\nexport default function scoreLength(textLength, tagName = 'p') {\n  const chunks = textLength / 50;\n\n  if (chunks > 0) {\n    let lengthBonus;\n\n    // No idea why p or pre are being tamped down here\n    // but just following the source for now\n    // Not even sure why tagName is included here,\n    // since this is only being called from the context\n    // of scoreParagraph\n    if (idkRe.test(tagName)) {\n      lengthBonus = chunks - 2;\n    } else {\n      lengthBonus = chunks - 1.25;\n    }\n\n    return Math.min(Math.max(lengthBonus, 0), 3);\n  }\n\n  return 0;\n}\n","import {\n  scoreCommas,\n  scoreLength,\n} from './index';\n\n// Score a paragraph using various methods. Things like number of\n// commas, etc. Higher is better.\nexport default function scoreParagraph(node) {\n  let score = 1;\n  const text = node.text().trim();\n  const textLength = text.length;\n\n  // If this paragraph is less than 25 characters, don't count it.\n  if (textLength < 25) {\n    return 0;\n  }\n\n  // Add points for any commas within this paragraph\n  score += scoreCommas(text);\n\n  // For every 50 characters in this paragraph, add another point. Up\n  // to 3 points.\n  score += scoreLength(textLength);\n\n  // Articles can end with short paragraphs when people are being clever\n  // but they can also end with short paragraphs setting up lists of junk\n  // that we strip. This negative tweaks junk setup paragraphs just below\n  // the cutoff threshold.\n  if (text.slice(-1) === ':') {\n    score -= 1;\n  }\n\n  return score;\n}\n","export default function setScore($node, $, score) {\n  $node.attr('score', score);\n  return $node;\n}\n","import {\n  getOrInitScore,\n  setScore,\n} from './index';\n\nexport default function addScore($node, $, amount) {\n  try {\n    const score = getOrInitScore($node, $) + amount;\n    setScore($node, $, score);\n  } catch (e) {\n    // Ignoring; error occurs in scoreNode\n  }\n\n  return $node;\n}\n","import { addScore } from './index';\n\n// Adds 1/4 of a child's score to its parent\nexport default function addToParent(node, $, score) {\n  const parent = node.parent();\n  if (parent) {\n    addScore(parent, $, score * 0.25);\n  }\n\n  return node;\n}\n","import {\n  getScore,\n  scoreNode,\n  getWeight,\n  addToParent,\n} from './index';\n\n// gets and returns the score if it exists\n// if not, initializes a score based on\n// the node's tag type\nexport default function getOrInitScore($node, $, weightNodes = true) {\n  let score = getScore($node);\n\n  if (score) {\n    return score;\n  }\n\n  score = scoreNode($node);\n\n  if (weightNodes) {\n    score += getWeight($node);\n  }\n\n  addToParent($node, $, score);\n\n  return score;\n}\n","import { scoreParagraph } from './index';\nimport {\n  PARAGRAPH_SCORE_TAGS,\n  CHILD_CONTENT_TAGS,\n  BAD_TAGS,\n} from './constants';\n\n// Score an individual node. Has some smarts for paragraphs, otherwise\n// just scores based on tag.\nexport default function scoreNode($node) {\n  const { tagName } = $node.get(0);\n\n  // TODO: Consider ordering by most likely.\n  // E.g., if divs are a more common tag on a page,\n  // Could save doing that regex test on every node – AP\n  if (PARAGRAPH_SCORE_TAGS.test(tagName)) {\n    return scoreParagraph($node);\n  } else if (tagName.toLowerCase() === 'div') {\n    return 5;\n  } else if (CHILD_CONTENT_TAGS.test(tagName)) {\n    return 3;\n  } else if (BAD_TAGS.test(tagName)) {\n    return -3;\n  } else if (tagName.toLowerCase() === 'th') {\n    return -5;\n  }\n\n  return 0;\n}\n","import { convertNodeTo } from 'utils/dom';\n\nimport { HNEWS_CONTENT_SELECTORS } from './constants';\nimport {\n  scoreNode,\n  setScore,\n  getOrInitScore,\n  addScore,\n} from './index';\n\nfunction convertSpans($node, $) {\n  if ($node.get(0)) {\n    const { tagName } = $node.get(0);\n\n    if (tagName === 'span') {\n      // convert spans to divs\n      convertNodeTo($node, $, 'div');\n    }\n  }\n}\n\nfunction addScoreTo($node, $, score) {\n  if ($node) {\n    convertSpans($node, $);\n    addScore($node, $, score);\n  }\n}\n\nfunction scorePs($, weightNodes) {\n  $('p, pre').not('[score]').each((index, node) => {\n    // The raw score for this paragraph, before we add any parent/child\n    // scores.\n    let $node = $(node);\n    $node = setScore($node, $, getOrInitScore($node, $, weightNodes));\n\n    const $parent = $node.parent();\n    const rawScore = scoreNode($node);\n\n    addScoreTo($parent, $, rawScore, weightNodes);\n    if ($parent) {\n      // Add half of the individual content score to the\n      // grandparent\n      addScoreTo($parent.parent(), $, rawScore / 2, weightNodes);\n    }\n  });\n\n  return $;\n}\n\n// score content. Parents get the full value of their children's\n// content score, grandparents half\nexport default function scoreContent($, weightNodes = true) {\n  // First, look for special hNews based selectors and give them a big\n  // boost, if they exist\n  HNEWS_CONTENT_SELECTORS.forEach(([parentSelector, childSelector]) => {\n    $(`${parentSelector} ${childSelector}`).each((index, node) => {\n      addScore($(node).parent(parentSelector), $, 80);\n    });\n  });\n\n  // Doubling this again\n  // Previous solution caused a bug\n  // in which parents weren't retaining\n  // scores. This is not ideal, and\n  // should be fixed.\n  scorePs($, weightNodes);\n  scorePs($, weightNodes);\n\n  return $;\n}\n","const NORMALIZE_RE = /\\s{2,}/g;\n\nexport default function normalizeSpaces(text) {\n  return text.replace(NORMALIZE_RE, ' ').trim();\n}\n","// Given a node type to search for, and a list of regular expressions,\n// look to see if this extraction can be found in the URL. Expects\n// that each expression in r_list will return group(1) as the proper\n// string to be cleaned.\n// Only used for date_published currently.\nexport default function extractFromUrl(url, regexList) {\n  const matchRe = regexList.find(re => re.test(url));\n  if (matchRe) {\n    return matchRe.exec(url)[1];\n  }\n\n  return null;\n}\n","// An expression that looks to try to find the page digit within a URL, if\n// it exists.\n// Matches:\n//  page=1\n//  pg=1\n//  p=1\n//  paging=12\n//  pag=7\n//  pagination/1\n//  paging/88\n//  pa/83\n//  p/11\n//\n// Does not match:\n//  pg=102\n//  page:2\nexport const PAGE_IN_HREF_RE = new RegExp('(page|paging|(p(a|g|ag)?(e|enum|ewanted|ing|ination)))?(=|/)([0-9]{1,3})', 'i');\n\nexport const HAS_ALPHA_RE = /[a-z]/i;\n\nexport const IS_ALPHA_RE = /^[a-z]+$/i;\nexport const IS_DIGIT_RE = /^[0-9]+$/i;\n\nexport const ENCODING_RE = /charset=([\\w-]+)\\b/;\nexport const DEFAULT_ENCODING = 'utf-8';\n","import URL from 'url';\n\nimport {\n  HAS_ALPHA_RE,\n  IS_ALPHA_RE,\n  IS_DIGIT_RE,\n  PAGE_IN_HREF_RE,\n} from './constants';\n\nfunction isGoodSegment(segment, index, firstSegmentHasLetters) {\n  let goodSegment = true;\n\n  // If this is purely a number, and it's the first or second\n  // url_segment, it's probably a page number. Remove it.\n  if (index < 2 && IS_DIGIT_RE.test(segment) && segment.length < 3) {\n    goodSegment = true;\n  }\n\n  // If this is the first url_segment and it's just \"index\",\n  // remove it\n  if (index === 0 && segment.toLowerCase() === 'index') {\n    goodSegment = false;\n  }\n\n  // If our first or second url_segment is smaller than 3 characters,\n  // and the first url_segment had no alphas, remove it.\n  if (index < 2 && segment.length < 3 && !firstSegmentHasLetters) {\n    goodSegment = false;\n  }\n\n  return goodSegment;\n}\n\n// Take a URL, and return the article base of said URL. That is, no\n// pagination data exists in it. Useful for comparing to other links\n// that might have pagination data within them.\nexport default function articleBaseUrl(url, parsed) {\n  const parsedUrl = parsed || URL.parse(url);\n  const { protocol, host, path } = parsedUrl;\n\n  let firstSegmentHasLetters = false;\n  const cleanedSegments = path.split('/')\n  .reverse()\n  .reduce((acc, rawSegment, index) => {\n    let segment = rawSegment;\n\n    // Split off and save anything that looks like a file type.\n    if (segment.includes('.')) {\n      const [possibleSegment, fileExt] = segment.split('.');\n      if (IS_ALPHA_RE.test(fileExt)) {\n        segment = possibleSegment;\n      }\n    }\n\n    // If our first or second segment has anything looking like a page\n    // number, remove it.\n    if (PAGE_IN_HREF_RE.test(segment) && index < 2) {\n      segment = segment.replace(PAGE_IN_HREF_RE, '');\n    }\n\n    // If we're on the first segment, check to see if we have any\n    // characters in it. The first segment is actually the last bit of\n    // the URL, and this will be helpful to determine if we're on a URL\n    // segment that looks like \"/2/\" for example.\n    if (index === 0) {\n      firstSegmentHasLetters = HAS_ALPHA_RE.test(segment);\n    }\n\n    // If it's not marked for deletion, push it to cleaned_segments.\n    if (isGoodSegment(segment, index, firstSegmentHasLetters)) {\n      acc.push(segment);\n    }\n\n    return acc;\n  }, []);\n\n  return `${protocol}//${host}${cleanedSegments.reverse().join('/')}`;\n}\n","// Given a string, return True if it appears to have an ending sentence\n// within it, false otherwise.\nconst SENTENCE_END_RE = new RegExp('.( |$)');\nexport default function hasSentenceEnd(text) {\n  return SENTENCE_END_RE.test(text);\n}\n","import {\n  textLength,\n  linkDensity,\n} from 'utils/dom';\nimport { hasSentenceEnd } from 'utils/text';\n\nimport { NON_TOP_CANDIDATE_TAGS_RE } from './constants';\nimport { getScore } from './index';\n\n// Now that we have a top_candidate, look through the siblings of\n// it to see if any of them are decently scored. If they are, they\n// may be split parts of the content (Like two divs, a preamble and\n// a body.) Example:\n// http://articles.latimes.com/2009/oct/14/business/fi-bigtvs14\nexport default function mergeSiblings($candidate, topScore, $) {\n  if (!$candidate.parent().length) {\n    return $candidate;\n  }\n\n  const siblingScoreThreshold = Math.max(10, topScore * 0.25);\n  const wrappingDiv = $('<div></div>');\n\n  $candidate.parent().children().each((index, sibling) => {\n    const $sibling = $(sibling);\n    // Ignore tags like BR, HR, etc\n    if (NON_TOP_CANDIDATE_TAGS_RE.test(sibling.tagName)) {\n      return null;\n    }\n\n    const siblingScore = getScore($sibling);\n    if (siblingScore) {\n      if ($sibling.get(0) === $candidate.get(0)) {\n        wrappingDiv.append($sibling);\n      } else {\n        let contentBonus = 0;\n        const density = linkDensity($sibling);\n\n        // If sibling has a very low link density,\n        // give it a small bonus\n        if (density < 0.05) {\n          contentBonus += 20;\n        }\n\n        // If sibling has a high link density,\n        // give it a penalty\n        if (density >= 0.5) {\n          contentBonus -= 20;\n        }\n\n        // If sibling node has the same class as\n        // candidate, give it a bonus\n        if ($sibling.attr('class') === $candidate.attr('class')) {\n          contentBonus += topScore * 0.2;\n        }\n\n        const newScore = siblingScore + contentBonus;\n\n        if (newScore >= siblingScoreThreshold) {\n          return wrappingDiv.append($sibling);\n        } else if (sibling.tagName === 'p') {\n          const siblingContent = $sibling.text();\n          const siblingContentLength = textLength(siblingContent);\n\n          if (siblingContentLength > 80 && density < 0.25) {\n            return wrappingDiv.append($sibling);\n          } else if (siblingContentLength <= 80 && density === 0 &&\n                    hasSentenceEnd(siblingContent)) {\n            return wrappingDiv.append($sibling);\n          }\n        }\n      }\n    }\n\n    return null;\n  });\n\n  if (wrappingDiv.children().length === 1 &&\n    wrappingDiv.children().first().get(0) === $candidate.get(0)) {\n    return $candidate;\n  }\n\n  return wrappingDiv;\n}\n","// Scoring\nexport { default as getWeight } from './get-weight';\nexport { default as getScore } from './get-score';\nexport { default as scoreCommas } from './score-commas';\nexport { default as scoreLength } from './score-length';\nexport { default as scoreParagraph } from './score-paragraph';\nexport { default as setScore } from './set-score';\nexport { default as addScore } from './add-score';\nexport { default as addToParent } from './add-to-parent';\nexport { default as getOrInitScore } from './get-or-init-score';\nexport { default as scoreNode } from './score-node';\nexport { default as scoreContent } from './score-content';\nexport { default as findTopCandidate } from './find-top-candidate';\n","import {\n  getScore,\n  setScore,\n  getOrInitScore,\n  scoreCommas,\n} from 'extractors/generic/content/scoring';\n\nimport {\n  CLEAN_CONDITIONALLY_TAGS,\n  KEEP_CLASS,\n} from './constants';\nimport { normalizeSpaces } from '../text';\nimport { linkDensity } from './index';\n\nfunction removeUnlessContent($node, $, weight) {\n    // Explicitly save entry-content-asset tags, which are\n    // noted as valuable in the Publisher guidelines. For now\n    // this works everywhere. We may want to consider making\n    // this less of a sure-thing later.\n  if ($node.hasClass('entry-content-asset')) {\n    return;\n  }\n\n  const content = normalizeSpaces($node.text());\n\n  if (scoreCommas(content) < 10) {\n    const pCount = $('p', $node).length;\n    const inputCount = $('input', $node).length;\n\n      // Looks like a form, too many inputs.\n    if (inputCount > (pCount / 3)) {\n      $node.remove();\n      return;\n    }\n\n    const contentLength = content.length;\n    const imgCount = $('img', $node).length;\n\n      // Content is too short, and there are no images, so\n      // this is probably junk content.\n    if (contentLength < 25 && imgCount === 0) {\n      $node.remove();\n      return;\n    }\n\n    const density = linkDensity($node);\n\n      // Too high of link density, is probably a menu or\n      // something similar.\n      // console.log(weight, density, contentLength)\n    if (weight < 25 && density > 0.2 && contentLength > 75) {\n      $node.remove();\n      return;\n    }\n\n      // Too high of a link density, despite the score being\n      // high.\n    if (weight >= 25 && density > 0.5) {\n        // Don't remove the node if it's a list and the\n        // previous sibling starts with a colon though. That\n        // means it's probably content.\n      const tagName = $node.get(0).tagName.toLowerCase();\n      const nodeIsList = tagName === 'ol' || tagName === 'ul';\n      if (nodeIsList) {\n        const previousNode = $node.prev();\n        if (previousNode && normalizeSpaces(previousNode.text()).slice(-1) === ':') {\n          return;\n        }\n      }\n\n      $node.remove();\n      return;\n    }\n\n    const scriptCount = $('script', $node).length;\n\n      // Too many script tags, not enough content.\n    if (scriptCount > 0 && contentLength < 150) {\n      $node.remove();\n      return;\n    }\n  }\n}\n\n// Given an article, clean it of some superfluous content specified by\n// tags. Things like forms, ads, etc.\n//\n// Tags is an array of tag name's to search through. (like div, form,\n// etc)\n//\n// Return this same doc.\nexport default function cleanTags($article, $) {\n  $(CLEAN_CONDITIONALLY_TAGS, $article).each((index, node) => {\n    const $node = $(node);\n    // If marked to keep, skip it\n    if ($node.hasClass(KEEP_CLASS) || $node.find(`.${KEEP_CLASS}`).length > 0) return;\n\n    let weight = getScore($node);\n    if (!weight) {\n      weight = getOrInitScore($node, $);\n      setScore($node, $, weight);\n    }\n\n    // drop node if its weight is < 0\n    if (weight < 0) {\n      $node.remove();\n    } else {\n      // deteremine if node seems like content\n      removeUnlessContent($node, $, weight);\n    }\n  });\n\n  return $;\n}\n","import URL from 'url';\n\nimport {\n  getAttrs,\n  setAttr,\n} from 'utils/dom';\n\nfunction absolutize($, rootUrl, attr, $content) {\n  $(`[${attr}]`, $content).each((_, node) => {\n    const attrs = getAttrs(node);\n    const url = attrs[attr];\n\n    if (url) {\n      const absoluteUrl = URL.resolve(rootUrl, url);\n      setAttr(node, attr, absoluteUrl);\n    }\n  });\n}\n\nexport default function makeLinksAbsolute($content, $, url) {\n  ['href', 'src'].forEach(attr => absolutize($, url, attr, $content));\n\n  return $content;\n}\n","export function textLength(text) {\n  return text.trim()\n             .replace(/\\s+/g, ' ')\n             .length;\n}\n\n// Determines what percentage of the text\n// in a node is link text\n// Takes a node, returns a float\nexport function linkDensity($node) {\n  const totalTextLength = textLength($node.text());\n\n  const linkText = $node.find('a').text();\n  const linkLength = textLength(linkText);\n\n  if (totalTextLength > 0) {\n    return linkLength / totalTextLength;\n  } else if (totalTextLength === 0 && linkLength > 0) {\n    return 1;\n  }\n\n  return 0;\n}\n","import { withinComment } from 'utils/dom';\n\nfunction isGoodNode($node, maxChildren) {\n  // If it has a number of children, it's more likely a container\n  // element. Skip it.\n  if ($node.children().length > maxChildren) {\n    return false;\n  }\n  // If it looks to be within a comment, skip it.\n  if (withinComment($node)) {\n    return false;\n  }\n\n  return true;\n}\n\n// Given a a list of selectors find content that may\n// be extractable from the document. This is for flat\n// meta-information, like author, title, date published, etc.\nexport default function extractFromSelectors(\n  $,\n  selectors,\n  maxChildren = 1,\n  textOnly = true\n) {\n  for (const selector of selectors) {\n    const nodes = $(selector);\n\n    // If we didn't get exactly one of this selector, this may be\n    // a list of articles or comments. Skip it.\n    if (nodes.length === 1) {\n      const $node = $(nodes[0]);\n\n      if (isGoodNode($node, maxChildren)) {\n        let content;\n        if (textOnly) {\n          content = $node.text();\n        } else {\n          content = $node.html();\n        }\n\n        if (content) {\n          return content;\n        }\n      }\n    }\n  }\n\n  return null;\n}\n","// strips all tags from a string of text\nexport default function stripTags(text, $) {\n  // Wrapping text in html element prevents errors when text\n  // has no html\n  const cleanText = $(`<span>${text}</span>`).text();\n  return cleanText === '' ? text : cleanText;\n}\n","import { getAttrs } from 'utils/dom';\n\nexport default function withinComment($node) {\n  const parents = $node.parents().toArray();\n  const commentParent = parents.find((parent) => {\n    const attrs = getAttrs(parent);\n    const { class: nodeClass, id } = attrs;\n    const classAndId = `${nodeClass} ${id}`;\n    return classAndId.includes('comment');\n  });\n\n  return commentParent !== undefined;\n}\n","// Given a node, determine if it's article-like enough to return\n// param: node (a cheerio node)\n// return: boolean\n\nexport default function nodeIsSufficient($node) {\n  return $node.text().trim().length >= 100;\n}\n","export default function getAttrs(node) {\n  const { attribs, attributes } = node;\n\n  if (!attribs && attributes) {\n    const attrs = Reflect.ownKeys(attributes).reduce((acc, index) => {\n      const attr = attributes[index];\n\n      if (!attr.name || !attr.value) return acc;\n\n      acc[attr.name] = attr.value;\n      return acc;\n    }, {});\n    return attrs;\n  }\n\n  return attribs;\n}\n","export default function setAttr(node, attr, val) {\n  if (node.attribs) {\n    node.attribs[attr] = val;\n  } else if (node.attributes) {\n    node.setAttribute(attr, val);\n  }\n\n  return node;\n}\n","export default function setAttrs(node, attrs) {\n  if (node.attribs) {\n    node.attribs = attrs;\n  } else if (node.attributes) {\n    while (node.attributes.length > 0) {\n      node.removeAttribute(node.attributes[0].name);\n    }\n\n    Reflect.ownKeys(attrs).forEach((key) => {\n      node.setAttribute(key, attrs[key]);\n    });\n  }\n\n  return node;\n}\n","// DOM manipulation\nexport { default as stripUnlikelyCandidates } from './strip-unlikely-candidates';\nexport { default as brsToPs } from './brs-to-ps';\nexport { default as paragraphize } from './paragraphize';\nexport { default as convertToParagraphs } from './convert-to-paragraphs';\nexport { default as convertNodeTo } from './convert-node-to';\nexport { default as cleanImages } from './clean-images';\nexport { default as markToKeep } from './mark-to-keep';\nexport { default as stripJunkTags } from './strip-junk-tags';\nexport { default as cleanHOnes } from './clean-h-ones';\nexport { default as cleanAttributes } from './clean-attributes';\nexport { default as removeEmpty } from './remove-empty';\nexport { default as cleanTags } from './clean-tags';\nexport { default as cleanHeaders } from './clean-headers';\nexport { default as rewriteTopLevel } from './rewrite-top-level';\nexport { default as makeLinksAbsolute } from './make-links-absolute';\nexport { textLength, linkDensity } from './link-density';\nexport { default as extractFromMeta } from './extract-from-meta';\nexport { default as extractFromSelectors } from './extract-from-selectors';\nexport { default as stripTags } from './strip-tags';\nexport { default as withinComment } from './within-comment';\nexport { default as nodeIsSufficient } from './node-is-sufficient';\nexport { default as isWordpress } from './is-wordpress';\nexport { default as getAttrs } from './get-attrs';\nexport { default as setAttr } from './set-attr';\nexport { default as setAttrs } from './set-attrs';\n","'use strict';\n\nfunction _interopDefault (ex) { return (ex && (typeof ex === 'object') && 'default' in ex) ? ex['default'] : ex; }\n\nvar _regeneratorRuntime = _interopDefault(require('babel-runtime/regenerator'));\nvar _extends = _interopDefault(require('babel-runtime/helpers/extends'));\nvar _asyncToGenerator = _interopDefault(require('babel-runtime/helpers/asyncToGenerator'));\nvar URL = _interopDefault(require('url'));\nvar cheerio = _interopDefault(require('cheerio'));\nvar iconv = _interopDefault(require('iconv-lite'));\nvar _slicedToArray = _interopDefault(require('babel-runtime/helpers/slicedToArray'));\nvar _Promise = _interopDefault(require('babel-runtime/core-js/promise'));\nvar request = _interopDefault(require('request'));\nvar _Reflect$ownKeys = _interopDefault(require('babel-runtime/core-js/reflect/own-keys'));\nvar _toConsumableArray = _interopDefault(require('babel-runtime/helpers/toConsumableArray'));\nvar _defineProperty = _interopDefault(require('babel-runtime/helpers/defineProperty'));\nvar _typeof = _interopDefault(require('babel-runtime/helpers/typeof'));\nvar _getIterator = _interopDefault(require('babel-runtime/core-js/get-iterator'));\nvar _Object$keys = _interopDefault(require('babel-runtime/core-js/object/keys'));\nvar stringDirection = _interopDefault(require('string-direction'));\nvar validUrl = _interopDefault(require('valid-url'));\nvar moment = _interopDefault(require('moment-timezone'));\nvar parseFormat = _interopDefault(require('moment-parseformat'));\nvar wuzzy = _interopDefault(require('wuzzy'));\nvar difflib = _interopDefault(require('difflib'));\nvar _Array$from = _interopDefault(require('babel-runtime/core-js/array/from'));\nvar ellipsize = _interopDefault(require('ellipsize'));\n\nvar NORMALIZE_RE = /\\s{2,}/g;\n\nfunction normalizeSpaces(text) {\n  return text.replace(NORMALIZE_RE, ' ').trim();\n}\n\n// Given a node type to search for, and a list of regular expressions,\n// look to see if this extraction can be found in the URL. Expects\n// that each expression in r_list will return group(1) as the proper\n// string to be cleaned.\n// Only used for date_published currently.\nfunction extractFromUrl(url, regexList) {\n  var matchRe = regexList.find(function (re) {\n    return re.test(url);\n  });\n  if (matchRe) {\n    return matchRe.exec(url)[1];\n  }\n\n  return null;\n}\n\n// An expression that looks to try to find the page digit within a URL, if\n// it exists.\n// Matches:\n//  page=1\n//  pg=1\n//  p=1\n//  paging=12\n//  pag=7\n//  pagination/1\n//  paging/88\n//  pa/83\n//  p/11\n//\n// Does not match:\n//  pg=102\n//  page:2\nvar PAGE_IN_HREF_RE = new RegExp('(page|paging|(p(a|g|ag)?(e|enum|ewanted|ing|ination)))?(=|/)([0-9]{1,3})', 'i');\n\nvar HAS_ALPHA_RE = /[a-z]/i;\n\nvar IS_ALPHA_RE = /^[a-z]+$/i;\nvar IS_DIGIT_RE = /^[0-9]+$/i;\n\nvar ENCODING_RE = /charset=([\\w-]+)\\b/;\nvar DEFAULT_ENCODING = 'utf-8';\n\nfunction pageNumFromUrl(url) {\n  var matches = url.match(PAGE_IN_HREF_RE);\n  if (!matches) return null;\n\n  var pageNum = parseInt(matches[6], 10);\n\n  // Return pageNum < 100, otherwise\n  // return null\n  return pageNum < 100 ? pageNum : null;\n}\n\nfunction removeAnchor(url) {\n  return url.split('#')[0].replace(/\\/$/, '');\n}\n\nfunction isGoodSegment(segment, index, firstSegmentHasLetters) {\n  var goodSegment = true;\n\n  // If this is purely a number, and it's the first or second\n  // url_segment, it's probably a page number. Remove it.\n  if (index < 2 && IS_DIGIT_RE.test(segment) && segment.length < 3) {\n    goodSegment = true;\n  }\n\n  // If this is the first url_segment and it's just \"index\",\n  // remove it\n  if (index === 0 && segment.toLowerCase() === 'index') {\n    goodSegment = false;\n  }\n\n  // If our first or second url_segment is smaller than 3 characters,\n  // and the first url_segment had no alphas, remove it.\n  if (index < 2 && segment.length < 3 && !firstSegmentHasLetters) {\n    goodSegment = false;\n  }\n\n  return goodSegment;\n}\n\n// Take a URL, and return the article base of said URL. That is, no\n// pagination data exists in it. Useful for comparing to other links\n// that might have pagination data within them.\nfunction articleBaseUrl(url, parsed) {\n  var parsedUrl = parsed || URL.parse(url);\n  var protocol = parsedUrl.protocol,\n      host = parsedUrl.host,\n      path = parsedUrl.path;\n\n\n  var firstSegmentHasLetters = false;\n  var cleanedSegments = path.split('/').reverse().reduce(function (acc, rawSegment, index) {\n    var segment = rawSegment;\n\n    // Split off and save anything that looks like a file type.\n    if (segment.includes('.')) {\n      var _segment$split = segment.split('.'),\n          _segment$split2 = _slicedToArray(_segment$split, 2),\n          possibleSegment = _segment$split2[0],\n          fileExt = _segment$split2[1];\n\n      if (IS_ALPHA_RE.test(fileExt)) {\n        segment = possibleSegment;\n      }\n    }\n\n    // If our first or second segment has anything looking like a page\n    // number, remove it.\n    if (PAGE_IN_HREF_RE.test(segment) && index < 2) {\n      segment = segment.replace(PAGE_IN_HREF_RE, '');\n    }\n\n    // If we're on the first segment, check to see if we have any\n    // characters in it. The first segment is actually the last bit of\n    // the URL, and this will be helpful to determine if we're on a URL\n    // segment that looks like \"/2/\" for example.\n    if (index === 0) {\n      firstSegmentHasLetters = HAS_ALPHA_RE.test(segment);\n    }\n\n    // If it's not marked for deletion, push it to cleaned_segments.\n    if (isGoodSegment(segment, index, firstSegmentHasLetters)) {\n      acc.push(segment);\n    }\n\n    return acc;\n  }, []);\n\n  return protocol + '//' + host + cleanedSegments.reverse().join('/');\n}\n\n// Given a string, return True if it appears to have an ending sentence\n// within it, false otherwise.\nvar SENTENCE_END_RE = new RegExp('.( |$)');\nfunction hasSentenceEnd(text) {\n  return SENTENCE_END_RE.test(text);\n}\n\nfunction excerptContent(content) {\n              var words = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 10;\n\n              return content.trim().split(/\\s+/).slice(0, words).join(' ');\n}\n\n// check a string for encoding; this is\n// used in our fetchResource function to\n// ensure correctly encoded responses\nfunction getEncoding(str) {\n  var encoding = DEFAULT_ENCODING;\n  if (ENCODING_RE.test(str)) {\n    var testEncode = ENCODING_RE.exec(str)[1];\n    if (iconv.encodingExists(testEncode)) {\n      encoding = testEncode;\n    }\n  }\n  return encoding;\n}\n\nvar _marked = [range].map(_regeneratorRuntime.mark);\n\nfunction range() {\n  var start = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : 1;\n  var end = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n  return _regeneratorRuntime.wrap(function range$(_context) {\n    while (1) {\n      switch (_context.prev = _context.next) {\n        case 0:\n          if (!(start <= end)) {\n            _context.next = 5;\n            break;\n          }\n\n          _context.next = 3;\n          return start += 1;\n\n        case 3:\n          _context.next = 0;\n          break;\n\n        case 5:\n        case \"end\":\n          return _context.stop();\n      }\n    }\n  }, _marked[0], this);\n}\n\n// extremely simple url validation as a first step\nfunction validateUrl(_ref) {\n  var hostname = _ref.hostname;\n\n  // If this isn't a valid url, return an error message\n  return !!hostname;\n}\n\nvar Errors = {\n  badUrl: {\n    error: true,\n    messages: 'The url parameter passed does not look like a valid URL. Please check your data and try again.'\n  }\n};\n\n// Browser does not like us setting user agent\nvar REQUEST_HEADERS = cheerio.browser ? {} : {\n  'User-Agent': 'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36'\n};\n\n// The number of milliseconds to attempt to fetch a resource before timing out.\nvar FETCH_TIMEOUT = 10000;\n\n// Content types that we do not extract content from\nvar BAD_CONTENT_TYPES = ['audio/mpeg', 'image/gif', 'image/jpeg', 'image/jpg'];\n\nvar BAD_CONTENT_TYPES_RE = new RegExp('^(' + BAD_CONTENT_TYPES.join('|') + ')$', 'i');\n\n// Use this setting as the maximum size an article can be\n// for us to attempt parsing. Defaults to 5 MB.\nvar MAX_CONTENT_LENGTH = 5242880;\n\n// Turn the global proxy on or off\n// Proxying is not currently enabled in Python source\n// so not implementing logic in port.\n\nfunction get(options) {\n  return new _Promise(function (resolve, reject) {\n    request(options, function (err, response, body) {\n      if (err) {\n        reject(err);\n      } else {\n        resolve({ body: body, response: response });\n      }\n    });\n  });\n}\n\n// Evaluate a response to ensure it's something we should be keeping.\n// This does not validate in the sense of a response being 200 level or\n// not. Validation here means that we haven't found reason to bail from\n// further processing of this url.\n\nfunction validateResponse(response) {\n  var parseNon2xx = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : false;\n\n  // Check if we got a valid status code\n  // This isn't great, but I'm requiring a statusMessage to be set\n  // before short circuiting b/c nock doesn't set it in tests\n  // statusMessage only not set in nock response, in which case\n  // I check statusCode, which is currently only 200 for OK responses\n  // in tests\n  if (response.statusMessage && response.statusMessage !== 'OK' || response.statusCode !== 200) {\n    if (!response.statusCode) {\n      throw new Error('Unable to fetch content. Original exception was ' + response.error);\n    } else if (!parseNon2xx) {\n      throw new Error('Resource returned a response status code of ' + response.statusCode + ' and resource was instructed to reject non-2xx level status codes.');\n    }\n  }\n\n  var _response$headers = response.headers,\n      contentType = _response$headers['content-type'],\n      contentLength = _response$headers['content-length'];\n\n  // Check that the content is not in BAD_CONTENT_TYPES\n\n  if (BAD_CONTENT_TYPES_RE.test(contentType)) {\n    throw new Error('Content-type for this resource was ' + contentType + ' and is not allowed.');\n  }\n\n  // Check that the content length is below maximum\n  if (contentLength > MAX_CONTENT_LENGTH) {\n    throw new Error('Content for this resource was too large. Maximum content length is ' + MAX_CONTENT_LENGTH + '.');\n  }\n\n  return true;\n}\n\n// Grabs the last two pieces of the URL and joins them back together\n// This is to get the 'livejournal.com' from 'erotictrains.livejournal.com'\n\n\n// Set our response attribute to the result of fetching our URL.\n// TODO: This should gracefully handle timeouts and raise the\n//       proper exceptions on the many failure cases of HTTP.\n// TODO: Ensure we are not fetching something enormous. Always return\n//       unicode content for HTML, with charset conversion.\n\nvar fetchResource$1 = (function () {\n  var _ref2 = _asyncToGenerator(_regeneratorRuntime.mark(function _callee(url, parsedUrl) {\n    var options, _ref3, response, body;\n\n    return _regeneratorRuntime.wrap(function _callee$(_context) {\n      while (1) {\n        switch (_context.prev = _context.next) {\n          case 0:\n            parsedUrl = parsedUrl || URL.parse(encodeURI(url));\n\n            options = {\n              url: parsedUrl.href,\n              headers: _extends({}, REQUEST_HEADERS),\n              timeout: FETCH_TIMEOUT,\n              // Accept cookies\n              jar: true,\n              // Set to null so the response returns as binary and body as buffer\n              // https://github.com/request/request#requestoptions-callback\n              encoding: null,\n              // Accept and decode gzip\n              gzip: true,\n              // Follow any redirect\n              followAllRedirects: true\n            };\n            _context.next = 4;\n            return get(options);\n\n          case 4:\n            _ref3 = _context.sent;\n            response = _ref3.response;\n            body = _ref3.body;\n            _context.prev = 7;\n\n            validateResponse(response);\n            return _context.abrupt('return', {\n              body: body,\n              response: response\n            });\n\n          case 12:\n            _context.prev = 12;\n            _context.t0 = _context['catch'](7);\n            return _context.abrupt('return', Errors.badUrl);\n\n          case 15:\n          case 'end':\n            return _context.stop();\n        }\n      }\n    }, _callee, this, [[7, 12]]);\n  }));\n\n  function fetchResource(_x2, _x3) {\n    return _ref2.apply(this, arguments);\n  }\n\n  return fetchResource;\n})();\n\nfunction convertMetaProp($, from, to) {\n  $('meta[' + from + ']').each(function (_, node) {\n    var $node = $(node);\n\n    var value = $node.attr(from);\n    $node.attr(to, value);\n    $node.removeAttr(from);\n  });\n\n  return $;\n}\n\n// For ease of use in extracting from meta tags,\n// replace the \"content\" attribute on meta tags with the\n// \"value\" attribute.\n//\n// In addition, normalize 'property' attributes to 'name' for ease of\n// querying later. See, e.g., og or twitter meta tags.\n\nfunction normalizeMetaTags($) {\n  $ = convertMetaProp($, 'content', 'value');\n  $ = convertMetaProp($, 'property', 'name');\n  return $;\n}\n\n// Spacer images to be removed\nvar SPACER_RE = new RegExp('transparent|spacer|blank', 'i');\n\n// The class we will use to mark elements we want to keep\n// but would normally remove\nvar KEEP_CLASS = 'mercury-parser-keep';\n\nvar KEEP_SELECTORS = ['iframe[src^=\"https://www.youtube.com\"]', 'iframe[src^=\"https://www.youtube-nocookie.com\"]', 'iframe[src^=\"http://www.youtube.com\"]', 'iframe[src^=\"https://player.vimeo\"]', 'iframe[src^=\"http://player.vimeo\"]'];\n\n// A list of tags to strip from the output if we encounter them.\nvar STRIP_OUTPUT_TAGS = ['title', 'script', 'noscript', 'link', 'style', 'hr', 'embed', 'iframe', 'object'];\n\n// cleanAttributes\nvar REMOVE_ATTRS = ['style', 'align'];\nvar REMOVE_ATTR_SELECTORS = REMOVE_ATTRS.map(function (selector) {\n  return '[' + selector + ']';\n});\nvar REMOVE_ATTR_LIST = REMOVE_ATTRS.join(',');\nvar WHITELIST_ATTRS = ['src', 'srcset', 'href', 'class', 'id', 'alt', 'xlink:href', 'width', 'height'];\n\nvar WHITELIST_ATTRS_RE = new RegExp('^(' + WHITELIST_ATTRS.join('|') + ')$', 'i');\n\n// removeEmpty\nvar REMOVE_EMPTY_TAGS = ['p'];\nvar REMOVE_EMPTY_SELECTORS = REMOVE_EMPTY_TAGS.map(function (tag) {\n  return tag + ':empty';\n}).join(',');\n\n// cleanTags\nvar CLEAN_CONDITIONALLY_TAGS = ['ul', 'ol', 'table', 'div', 'button', 'form'].join(',');\n\n// cleanHeaders\nvar HEADER_TAGS = ['h2', 'h3', 'h4', 'h5', 'h6'];\nvar HEADER_TAG_LIST = HEADER_TAGS.join(',');\n\n// // CONTENT FETCHING CONSTANTS ////\n\n// A list of strings that can be considered unlikely candidates when\n// extracting content from a resource. These strings are joined together\n// and then tested for existence using re:test, so may contain simple,\n// non-pipe style regular expression queries if necessary.\nvar UNLIKELY_CANDIDATES_BLACKLIST = ['ad-break', 'adbox', 'advert', 'addthis', 'agegate', 'aux', 'blogger-labels', 'combx', 'comment', 'conversation', 'disqus', 'entry-unrelated', 'extra', 'foot',\n// 'form', // This is too generic, has too many false positives\n'header', 'hidden', 'loader', 'login', // Note: This can hit 'blogindex'.\n'menu', 'meta', 'nav', 'outbrain', 'pager', 'pagination', 'predicta', // readwriteweb inline ad box\n'presence_control_external', // lifehacker.com container full of false positives\n'popup', 'printfriendly', 'related', 'remove', 'remark', 'rss', 'share', 'shoutbox', 'sidebar', 'sociable', 'sponsor', 'taboola', 'tools'];\n\n// A list of strings that can be considered LIKELY candidates when\n// extracting content from a resource. Essentially, the inverse of the\n// blacklist above - if something matches both blacklist and whitelist,\n// it is kept. This is useful, for example, if something has a className\n// of \"rss-content entry-content\". It matched 'rss', so it would normally\n// be removed, however, it's also the entry content, so it should be left\n// alone.\n//\n// These strings are joined together and then tested for existence using\n// re:test, so may contain simple, non-pipe style regular expression queries\n// if necessary.\nvar UNLIKELY_CANDIDATES_WHITELIST = ['and', 'article', 'body', 'blogindex', 'column', 'content', 'entry-content-asset', 'format', // misuse of form\n'hfeed', 'hentry', 'hatom', 'main', 'page', 'posts', 'shadow'];\n\n// A list of tags which, if found inside, should cause a <div /> to NOT\n// be turned into a paragraph tag. Shallow div tags without these elements\n// should be turned into <p /> tags.\nvar DIV_TO_P_BLOCK_TAGS = ['a', 'blockquote', 'dl', 'div', 'img', 'p', 'pre', 'table'].join(',');\n\n// A list of tags that should be ignored when trying to find the top candidate\n// for a document.\n\n\n\n\n// A list of selectors that specify, very clearly, either hNews or other\n// very content-specific style content, like Blogger templates.\n// More examples here: http://microformats.org/wiki/blog-post-formats\n\n\n\n\n\n// A list of strings that denote a positive scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nvar POSITIVE_SCORE_HINTS = ['article', 'articlecontent', 'instapaper_body', 'blog', 'body', 'content', 'entry-content-asset', 'entry', 'hentry', 'main', 'Normal', 'page', 'pagination', 'permalink', 'post', 'story', 'text', '[-_]copy', // usatoday\n'\\\\Bcopy'];\n\n// The above list, joined into a matching regular expression\nvar POSITIVE_SCORE_RE = new RegExp(POSITIVE_SCORE_HINTS.join('|'), 'i');\n\n// Readability publisher-specific guidelines\n\n\n// A list of strings that denote a negative scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nvar NEGATIVE_SCORE_HINTS = ['adbox', 'advert', 'author', 'bio', 'bookmark', 'bottom', 'byline', 'clear', 'com-', 'combx', 'comment', 'comment\\\\B', 'contact', 'copy', 'credit', 'crumb', 'date', 'deck', 'excerpt', 'featured', // tnr.com has a featured_content which throws us off\n'foot', 'footer', 'footnote', 'graf', 'head', 'info', 'infotext', // newscientist.com copyright\n'instapaper_ignore', 'jump', 'linebreak', 'link', 'masthead', 'media', 'meta', 'modal', 'outbrain', // slate.com junk\n'promo', 'pr_', // autoblog - press release\n'related', 'respond', 'roundcontent', // lifehacker restricted content warning\n'scroll', 'secondary', 'share', 'shopping', 'shoutbox', 'side', 'sidebar', 'sponsor', 'stamp', 'sub', 'summary', 'tags', 'tools', 'widget'];\n// The above list, joined into a matching regular expression\nvar NEGATIVE_SCORE_RE = new RegExp(NEGATIVE_SCORE_HINTS.join('|'), 'i');\n\n// XPath to try to determine if a page is wordpress. Not always successful.\nvar IS_WP_SELECTOR = 'meta[name=generator][value^=WordPress]';\n\n// Match a digit. Pretty clear.\n\n\n// A list of words that, if found in link text or URLs, likely mean that\n// this link is not a next page link.\n\n\n\n// Match any phrase that looks like it could be page, or paging, or pagination\nvar PAGE_RE = new RegExp('pag(e|ing|inat)', 'i');\n\n// Match any link text/classname/id that looks like it could mean the next\n// page. Things like: next, continue, >, >>, » but not >|, »| as those can\n// mean last page.\n// export const NEXT_LINK_TEXT_RE = new RegExp('(next|weiter|continue|>([^\\|]|$)|»([^\\|]|$))', 'i');\n\n\n// Match any link text/classname/id that looks like it is an end link: things\n// like \"first\", \"last\", \"end\", etc.\n\n\n// Match any link text/classname/id that looks like it means the previous\n// page.\n\n\n// Match 2 or more consecutive <br> tags\n\n\n// Match 1 BR tag.\n\n\n// A list of all of the block level tags known in HTML5 and below. Taken from\n// http://bit.ly/qneNIT\nvar BLOCK_LEVEL_TAGS = ['article', 'aside', 'blockquote', 'body', 'br', 'button', 'canvas', 'caption', 'col', 'colgroup', 'dd', 'div', 'dl', 'dt', 'embed', 'fieldset', 'figcaption', 'figure', 'footer', 'form', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6', 'header', 'hgroup', 'hr', 'li', 'map', 'object', 'ol', 'output', 'p', 'pre', 'progress', 'section', 'table', 'tbody', 'textarea', 'tfoot', 'th', 'thead', 'tr', 'ul', 'video'];\nvar BLOCK_LEVEL_TAGS_RE = new RegExp('^(' + BLOCK_LEVEL_TAGS.join('|') + ')$', 'i');\n\n// The removal is implemented as a blacklist and whitelist, this test finds\n// blacklisted elements that aren't whitelisted. We do this all in one\n// expression-both because it's only one pass, and because this skips the\n// serialization for whitelisted nodes.\nvar candidatesBlacklist = UNLIKELY_CANDIDATES_BLACKLIST.join('|');\nvar CANDIDATES_BLACKLIST = new RegExp(candidatesBlacklist, 'i');\n\nvar candidatesWhitelist = UNLIKELY_CANDIDATES_WHITELIST.join('|');\nvar CANDIDATES_WHITELIST = new RegExp(candidatesWhitelist, 'i');\n\nfunction stripUnlikelyCandidates($) {\n  //  Loop through the provided document and remove any non-link nodes\n  //  that are unlikely candidates for article content.\n  //\n  //  Links are ignored because there are very often links to content\n  //  that are identified as non-body-content, but may be inside\n  //  article-like content.\n  //\n  //  :param $: a cheerio object to strip nodes from\n  //  :return $: the cleaned cheerio object\n  $('*').not('a').each(function (index, node) {\n    var $node = $(node);\n    var classes = $node.attr('class');\n    var id = $node.attr('id');\n    if (!id && !classes) return;\n\n    var classAndId = (classes || '') + ' ' + (id || '');\n    if (CANDIDATES_WHITELIST.test(classAndId)) {\n      return;\n    } else if (CANDIDATES_BLACKLIST.test(classAndId)) {\n      $node.remove();\n    }\n  });\n\n  return $;\n}\n\n// ## NOTES:\n// Another good candidate for refactoring/optimizing.\n// Very imperative code, I don't love it. - AP\n\n//  Given cheerio object, convert consecutive <br /> tags into\n//  <p /> tags instead.\n//\n//  :param $: A cheerio object\n\nfunction brsToPs$$1($) {\n  var collapsing = false;\n  $('br').each(function (index, element) {\n    var $element = $(element);\n    var nextElement = $element.next().get(0);\n\n    if (nextElement && nextElement.tagName.toLowerCase() === 'br') {\n      collapsing = true;\n      $element.remove();\n    } else if (collapsing) {\n      collapsing = false;\n      // $(element).replaceWith('<p />')\n      paragraphize(element, $, true);\n    }\n  });\n\n  return $;\n}\n\n// Given a node, turn it into a P if it is not already a P, and\n// make sure it conforms to the constraints of a P tag (I.E. does\n// not contain any other block tags.)\n//\n// If the node is a <br />, it treats the following inline siblings\n// as if they were its children.\n//\n// :param node: The node to paragraphize; this is a raw node\n// :param $: The cheerio object to handle dom manipulation\n// :param br: Whether or not the passed node is a br\n\nfunction paragraphize(node, $) {\n  var br = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : false;\n\n  var $node = $(node);\n\n  if (br) {\n    var sibling = node.nextSibling;\n    var p = $('<p></p>');\n\n    // while the next node is text or not a block level element\n    // append it to a new p node\n    while (sibling && !(sibling.tagName && BLOCK_LEVEL_TAGS_RE.test(sibling.tagName))) {\n      var nextSibling = sibling.nextSibling;\n      $(sibling).appendTo(p);\n      sibling = nextSibling;\n    }\n\n    $node.replaceWith(p);\n    $node.remove();\n    return $;\n  }\n\n  return $;\n}\n\nfunction convertDivs($) {\n  $('div').each(function (index, div) {\n    var $div = $(div);\n    var convertable = $div.children(DIV_TO_P_BLOCK_TAGS).length === 0;\n\n    if (convertable) {\n      convertNodeTo$$1($div, $, 'p');\n    }\n  });\n\n  return $;\n}\n\nfunction convertSpans($) {\n  $('span').each(function (index, span) {\n    var $span = $(span);\n    var convertable = $span.parents('p, div').length === 0;\n    if (convertable) {\n      convertNodeTo$$1($span, $, 'p');\n    }\n  });\n\n  return $;\n}\n\n// Loop through the provided doc, and convert any p-like elements to\n// actual paragraph tags.\n//\n//   Things fitting this criteria:\n//   * Multiple consecutive <br /> tags.\n//   * <div /> tags without block level elements inside of them\n//   * <span /> tags who are not children of <p /> or <div /> tags.\n//\n//   :param $: A cheerio object to search\n//   :return cheerio object with new p elements\n//   (By-reference mutation, though. Returned just for convenience.)\n\nfunction convertToParagraphs$$1($) {\n  $ = brsToPs$$1($);\n  $ = convertDivs($);\n  $ = convertSpans($);\n\n  return $;\n}\n\nfunction convertNodeTo$$1($node, $) {\n  var tag = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 'p';\n\n  var node = $node.get(0);\n  if (!node) {\n    return $;\n  }\n  var attrs = getAttrs(node) || {};\n  // console.log(attrs)\n\n  var attribString = _Reflect$ownKeys(attrs).map(function (key) {\n    return key + '=' + attrs[key];\n  }).join(' ');\n  var html = void 0;\n\n  if ($.browser) {\n    // In the browser, the contents of noscript tags aren't rendered, therefore\n    // transforms on the noscript tag (commonly used for lazy-loading) don't work\n    // as expected. This test case handles that\n    html = node.tagName.toLowerCase() === 'noscript' ? $node.text() : $node.html();\n  } else {\n    html = $node.contents();\n  }\n  $node.replaceWith('<' + tag + ' ' + attribString + '>' + html + '</' + tag + '>');\n  return $;\n}\n\nfunction cleanForHeight($img, $) {\n  var height = parseInt($img.attr('height'), 10);\n  var width = parseInt($img.attr('width'), 10) || 20;\n\n  // Remove images that explicitly have very small heights or\n  // widths, because they are most likely shims or icons,\n  // which aren't very useful for reading.\n  if ((height || 20) < 10 || width < 10) {\n    $img.remove();\n  } else if (height) {\n    // Don't ever specify a height on images, so that we can\n    // scale with respect to width without screwing up the\n    // aspect ratio.\n    $img.removeAttr('height');\n  }\n\n  return $;\n}\n\n// Cleans out images where the source string matches transparent/spacer/etc\n// TODO This seems very aggressive - AP\nfunction removeSpacers($img, $) {\n  if (SPACER_RE.test($img.attr('src'))) {\n    $img.remove();\n  }\n\n  return $;\n}\n\nfunction cleanImages($article, $) {\n  $article.find('img').each(function (index, img) {\n    var $img = $(img);\n\n    cleanForHeight($img, $);\n    removeSpacers($img, $);\n  });\n\n  return $;\n}\n\nfunction markToKeep(article, $, url) {\n  var tags = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : [];\n\n  if (tags.length === 0) {\n    tags = KEEP_SELECTORS;\n  }\n\n  if (url) {\n    var _URL$parse = URL.parse(url),\n        protocol = _URL$parse.protocol,\n        hostname = _URL$parse.hostname;\n\n    tags = [].concat(_toConsumableArray(tags), ['iframe[src^=\"' + protocol + '//' + hostname + '\"]']);\n  }\n\n  $(tags.join(','), article).addClass(KEEP_CLASS);\n\n  return $;\n}\n\nfunction stripJunkTags(article, $) {\n  var tags = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : [];\n\n  if (tags.length === 0) {\n    tags = STRIP_OUTPUT_TAGS;\n  }\n\n  // Remove matching elements, but ignore\n  // any element with a class of mercury-parser-keep\n  $(tags.join(','), article).not('.' + KEEP_CLASS).remove();\n\n  return $;\n}\n\n// H1 tags are typically the article title, which should be extracted\n// by the title extractor instead. If there's less than 3 of them (<3),\n// strip them. Otherwise, turn 'em into H2s.\nfunction cleanHOnes$$1(article, $) {\n  var $hOnes = $('h1', article);\n\n  if ($hOnes.length < 3) {\n    $hOnes.each(function (index, node) {\n      return $(node).remove();\n    });\n  } else {\n    $hOnes.each(function (index, node) {\n      convertNodeTo$$1($(node), $, 'h2');\n    });\n  }\n\n  return $;\n}\n\nfunction removeAllButWhitelist($article, $) {\n  $article.find('*').each(function (index, node) {\n    var attrs = getAttrs(node);\n\n    setAttrs(node, _Reflect$ownKeys(attrs).reduce(function (acc, attr) {\n      if (WHITELIST_ATTRS_RE.test(attr)) {\n        return _extends({}, acc, _defineProperty({}, attr, attrs[attr]));\n      }\n\n      return acc;\n    }, {}));\n  });\n\n  // Remove the mercury-parser-keep class from result\n  $('.' + KEEP_CLASS, $article).removeClass(KEEP_CLASS);\n\n  return $article;\n}\n\n// function removeAttrs(article, $) {\n//   REMOVE_ATTRS.forEach((attr) => {\n//     $(`[${attr}]`, article).removeAttr(attr);\n//   });\n// }\n\n// Remove attributes like style or align\nfunction cleanAttributes$$1($article, $) {\n  // Grabbing the parent because at this point\n  // $article will be wrapped in a div which will\n  // have a score set on it.\n  return removeAllButWhitelist($article.parent().length ? $article.parent() : $article, $);\n}\n\nfunction removeEmpty($article, $) {\n  $article.find('p').each(function (index, p) {\n    var $p = $(p);\n    if ($p.find('iframe, img').length === 0 && $p.text().trim() === '') $p.remove();\n  });\n\n  return $;\n}\n\n// // CONTENT FETCHING CONSTANTS ////\n\n// A list of strings that can be considered unlikely candidates when\n// extracting content from a resource. These strings are joined together\n// and then tested for existence using re:test, so may contain simple,\n// non-pipe style regular expression queries if necessary.\nvar UNLIKELY_CANDIDATES_BLACKLIST$1 = ['ad-break', 'adbox', 'advert', 'addthis', 'agegate', 'aux', 'blogger-labels', 'combx', 'comment', 'conversation', 'disqus', 'entry-unrelated', 'extra', 'foot', 'form', 'header', 'hidden', 'loader', 'login', // Note: This can hit 'blogindex'.\n'menu', 'meta', 'nav', 'pager', 'pagination', 'predicta', // readwriteweb inline ad box\n'presence_control_external', // lifehacker.com container full of false positives\n'popup', 'printfriendly', 'related', 'remove', 'remark', 'rss', 'share', 'shoutbox', 'sidebar', 'sociable', 'sponsor', 'tools'];\n\n// A list of strings that can be considered LIKELY candidates when\n// extracting content from a resource. Essentially, the inverse of the\n// blacklist above - if something matches both blacklist and whitelist,\n// it is kept. This is useful, for example, if something has a className\n// of \"rss-content entry-content\". It matched 'rss', so it would normally\n// be removed, however, it's also the entry content, so it should be left\n// alone.\n//\n// These strings are joined together and then tested for existence using\n// re:test, so may contain simple, non-pipe style regular expression queries\n// if necessary.\nvar UNLIKELY_CANDIDATES_WHITELIST$1 = ['and', 'article', 'body', 'blogindex', 'column', 'content', 'entry-content-asset', 'format', // misuse of form\n'hfeed', 'hentry', 'hatom', 'main', 'page', 'posts', 'shadow'];\n\n// A list of tags which, if found inside, should cause a <div /> to NOT\n// be turned into a paragraph tag. Shallow div tags without these elements\n// should be turned into <p /> tags.\nvar DIV_TO_P_BLOCK_TAGS$1 = ['a', 'blockquote', 'dl', 'div', 'img', 'p', 'pre', 'table'].join(',');\n\n// A list of tags that should be ignored when trying to find the top candidate\n// for a document.\nvar NON_TOP_CANDIDATE_TAGS$1 = ['br', 'b', 'i', 'label', 'hr', 'area', 'base', 'basefont', 'input', 'img', 'link', 'meta'];\n\nvar NON_TOP_CANDIDATE_TAGS_RE$1 = new RegExp('^(' + NON_TOP_CANDIDATE_TAGS$1.join('|') + ')$', 'i');\n\n// A list of selectors that specify, very clearly, either hNews or other\n// very content-specific style content, like Blogger templates.\n// More examples here: http://microformats.org/wiki/blog-post-formats\nvar HNEWS_CONTENT_SELECTORS$1 = [['.hentry', '.entry-content'], ['entry', '.entry-content'], ['.entry', '.entry_content'], ['.post', '.postbody'], ['.post', '.post_body'], ['.post', '.post-body']];\n\nvar PHOTO_HINTS$1 = ['figure', 'photo', 'image', 'caption'];\nvar PHOTO_HINTS_RE$1 = new RegExp(PHOTO_HINTS$1.join('|'), 'i');\n\n// A list of strings that denote a positive scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nvar POSITIVE_SCORE_HINTS$1 = ['article', 'articlecontent', 'instapaper_body', 'blog', 'body', 'content', 'entry-content-asset', 'entry', 'hentry', 'main', 'Normal', 'page', 'pagination', 'permalink', 'post', 'story', 'text', '[-_]copy', // usatoday\n'\\\\Bcopy'];\n\n// The above list, joined into a matching regular expression\nvar POSITIVE_SCORE_RE$1 = new RegExp(POSITIVE_SCORE_HINTS$1.join('|'), 'i');\n\n// Readability publisher-specific guidelines\nvar READABILITY_ASSET$1 = new RegExp('entry-content-asset', 'i');\n\n// A list of strings that denote a negative scoring for this content as being\n// an article container. Checked against className and id.\n//\n// TODO: Perhaps have these scale based on their odds of being quality?\nvar NEGATIVE_SCORE_HINTS$1 = ['adbox', 'advert', 'author', 'bio', 'bookmark', 'bottom', 'byline', 'clear', 'com-', 'combx', 'comment', 'comment\\\\B', 'contact', 'copy', 'credit', 'crumb', 'date', 'deck', 'excerpt', 'featured', // tnr.com has a featured_content which throws us off\n'foot', 'footer', 'footnote', 'graf', 'head', 'info', 'infotext', // newscientist.com copyright\n'instapaper_ignore', 'jump', 'linebreak', 'link', 'masthead', 'media', 'meta', 'modal', 'outbrain', // slate.com junk\n'promo', 'pr_', // autoblog - press release\n'related', 'respond', 'roundcontent', // lifehacker restricted content warning\n'scroll', 'secondary', 'share', 'shopping', 'shoutbox', 'side', 'sidebar', 'sponsor', 'stamp', 'sub', 'summary', 'tags', 'tools', 'widget'];\n// The above list, joined into a matching regular expression\nvar NEGATIVE_SCORE_RE$1 = new RegExp(NEGATIVE_SCORE_HINTS$1.join('|'), 'i');\n\n// Match a digit. Pretty clear.\n\n\n// Match 2 or more consecutive <br> tags\n\n\n// Match 1 BR tag.\n\n\n// A list of all of the block level tags known in HTML5 and below. Taken from\n// http://bit.ly/qneNIT\n\n\n\n// The removal is implemented as a blacklist and whitelist, this test finds\n// blacklisted elements that aren't whitelisted. We do this all in one\n// expression-both because it's only one pass, and because this skips the\n// serialization for whitelisted nodes.\nvar candidatesBlacklist$1 = UNLIKELY_CANDIDATES_BLACKLIST$1.join('|');\n\n\nvar candidatesWhitelist$1 = UNLIKELY_CANDIDATES_WHITELIST$1.join('|');\n\n\n\n\nvar PARAGRAPH_SCORE_TAGS$1 = new RegExp('^(p|li|span|pre)$', 'i');\nvar CHILD_CONTENT_TAGS$1 = new RegExp('^(td|blockquote|ol|ul|dl)$', 'i');\nvar BAD_TAGS$1 = new RegExp('^(address|form)$', 'i');\n\n// Get the score of a node based on its className and id.\nfunction getWeight(node) {\n  var classes = node.attr('class');\n  var id = node.attr('id');\n  var score = 0;\n\n  if (id) {\n    // if id exists, try to score on both positive and negative\n    if (POSITIVE_SCORE_RE$1.test(id)) {\n      score += 25;\n    }\n    if (NEGATIVE_SCORE_RE$1.test(id)) {\n      score -= 25;\n    }\n  }\n\n  if (classes) {\n    if (score === 0) {\n      // if classes exist and id did not contribute to score\n      // try to score on both positive and negative\n      if (POSITIVE_SCORE_RE$1.test(classes)) {\n        score += 25;\n      }\n      if (NEGATIVE_SCORE_RE$1.test(classes)) {\n        score -= 25;\n      }\n    }\n\n    // even if score has been set by id, add score for\n    // possible photo matches\n    // \"try to keep photos if we can\"\n    if (PHOTO_HINTS_RE$1.test(classes)) {\n      score += 10;\n    }\n\n    // add 25 if class matches entry-content-asset,\n    // a class apparently instructed for use in the\n    // Readability publisher guidelines\n    // https://www.readability.com/developers/guidelines\n    if (READABILITY_ASSET$1.test(classes)) {\n      score += 25;\n    }\n  }\n\n  return score;\n}\n\n// returns the score of a node based on\n// the node's score attribute\n// returns null if no score set\nfunction getScore($node) {\n  return parseFloat($node.attr('score')) || null;\n}\n\n// return 1 for every comma in text\nfunction scoreCommas(text) {\n  return (text.match(/,/g) || []).length;\n}\n\nvar idkRe = new RegExp('^(p|pre)$', 'i');\n\nfunction scoreLength(textLength) {\n  var tagName = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'p';\n\n  var chunks = textLength / 50;\n\n  if (chunks > 0) {\n    var lengthBonus = void 0;\n\n    // No idea why p or pre are being tamped down here\n    // but just following the source for now\n    // Not even sure why tagName is included here,\n    // since this is only being called from the context\n    // of scoreParagraph\n    if (idkRe.test(tagName)) {\n      lengthBonus = chunks - 2;\n    } else {\n      lengthBonus = chunks - 1.25;\n    }\n\n    return Math.min(Math.max(lengthBonus, 0), 3);\n  }\n\n  return 0;\n}\n\n// Score a paragraph using various methods. Things like number of\n// commas, etc. Higher is better.\nfunction scoreParagraph$$1(node) {\n  var score = 1;\n  var text = node.text().trim();\n  var textLength = text.length;\n\n  // If this paragraph is less than 25 characters, don't count it.\n  if (textLength < 25) {\n    return 0;\n  }\n\n  // Add points for any commas within this paragraph\n  score += scoreCommas(text);\n\n  // For every 50 characters in this paragraph, add another point. Up\n  // to 3 points.\n  score += scoreLength(textLength);\n\n  // Articles can end with short paragraphs when people are being clever\n  // but they can also end with short paragraphs setting up lists of junk\n  // that we strip. This negative tweaks junk setup paragraphs just below\n  // the cutoff threshold.\n  if (text.slice(-1) === ':') {\n    score -= 1;\n  }\n\n  return score;\n}\n\nfunction setScore($node, $, score) {\n  $node.attr('score', score);\n  return $node;\n}\n\nfunction addScore$$1($node, $, amount) {\n  try {\n    var score = getOrInitScore$$1($node, $) + amount;\n    setScore($node, $, score);\n  } catch (e) {\n    // Ignoring; error occurs in scoreNode\n  }\n\n  return $node;\n}\n\n// Adds 1/4 of a child's score to its parent\nfunction addToParent$$1(node, $, score) {\n  var parent = node.parent();\n  if (parent) {\n    addScore$$1(parent, $, score * 0.25);\n  }\n\n  return node;\n}\n\n// gets and returns the score if it exists\n// if not, initializes a score based on\n// the node's tag type\nfunction getOrInitScore$$1($node, $) {\n  var weightNodes = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : true;\n\n  var score = getScore($node);\n\n  if (score) {\n    return score;\n  }\n\n  score = scoreNode$$1($node);\n\n  if (weightNodes) {\n    score += getWeight($node);\n  }\n\n  addToParent$$1($node, $, score);\n\n  return score;\n}\n\n// Score an individual node. Has some smarts for paragraphs, otherwise\n// just scores based on tag.\nfunction scoreNode$$1($node) {\n  var _$node$get = $node.get(0),\n      tagName = _$node$get.tagName;\n\n  // TODO: Consider ordering by most likely.\n  // E.g., if divs are a more common tag on a page,\n  // Could save doing that regex test on every node – AP\n\n\n  if (PARAGRAPH_SCORE_TAGS$1.test(tagName)) {\n    return scoreParagraph$$1($node);\n  } else if (tagName.toLowerCase() === 'div') {\n    return 5;\n  } else if (CHILD_CONTENT_TAGS$1.test(tagName)) {\n    return 3;\n  } else if (BAD_TAGS$1.test(tagName)) {\n    return -3;\n  } else if (tagName.toLowerCase() === 'th') {\n    return -5;\n  }\n\n  return 0;\n}\n\nfunction convertSpans$1($node, $) {\n  if ($node.get(0)) {\n    var _$node$get = $node.get(0),\n        tagName = _$node$get.tagName;\n\n    if (tagName === 'span') {\n      // convert spans to divs\n      convertNodeTo$$1($node, $, 'div');\n    }\n  }\n}\n\nfunction addScoreTo($node, $, score) {\n  if ($node) {\n    convertSpans$1($node, $);\n    addScore$$1($node, $, score);\n  }\n}\n\nfunction scorePs($, weightNodes) {\n  $('p, pre').not('[score]').each(function (index, node) {\n    // The raw score for this paragraph, before we add any parent/child\n    // scores.\n    var $node = $(node);\n    $node = setScore($node, $, getOrInitScore$$1($node, $, weightNodes));\n\n    var $parent = $node.parent();\n    var rawScore = scoreNode$$1($node);\n\n    addScoreTo($parent, $, rawScore, weightNodes);\n    if ($parent) {\n      // Add half of the individual content score to the\n      // grandparent\n      addScoreTo($parent.parent(), $, rawScore / 2, weightNodes);\n    }\n  });\n\n  return $;\n}\n\n// score content. Parents get the full value of their children's\n// content score, grandparents half\nfunction scoreContent$$1($) {\n  var weightNodes = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n\n  // First, look for special hNews based selectors and give them a big\n  // boost, if they exist\n  HNEWS_CONTENT_SELECTORS$1.forEach(function (_ref) {\n    var _ref2 = _slicedToArray(_ref, 2),\n        parentSelector = _ref2[0],\n        childSelector = _ref2[1];\n\n    $(parentSelector + ' ' + childSelector).each(function (index, node) {\n      addScore$$1($(node).parent(parentSelector), $, 80);\n    });\n  });\n\n  // Doubling this again\n  // Previous solution caused a bug\n  // in which parents weren't retaining\n  // scores. This is not ideal, and\n  // should be fixed.\n  scorePs($, weightNodes);\n  scorePs($, weightNodes);\n\n  return $;\n}\n\n// Now that we have a top_candidate, look through the siblings of\n// it to see if any of them are decently scored. If they are, they\n// may be split parts of the content (Like two divs, a preamble and\n// a body.) Example:\n// http://articles.latimes.com/2009/oct/14/business/fi-bigtvs14\nfunction mergeSiblings($candidate, topScore, $) {\n  if (!$candidate.parent().length) {\n    return $candidate;\n  }\n\n  var siblingScoreThreshold = Math.max(10, topScore * 0.25);\n  var wrappingDiv = $('<div></div>');\n\n  $candidate.parent().children().each(function (index, sibling) {\n    var $sibling = $(sibling);\n    // Ignore tags like BR, HR, etc\n    if (NON_TOP_CANDIDATE_TAGS_RE$1.test(sibling.tagName)) {\n      return null;\n    }\n\n    var siblingScore = getScore($sibling);\n    if (siblingScore) {\n      if ($sibling.get(0) === $candidate.get(0)) {\n        wrappingDiv.append($sibling);\n      } else {\n        var contentBonus = 0;\n        var density = linkDensity($sibling);\n\n        // If sibling has a very low link density,\n        // give it a small bonus\n        if (density < 0.05) {\n          contentBonus += 20;\n        }\n\n        // If sibling has a high link density,\n        // give it a penalty\n        if (density >= 0.5) {\n          contentBonus -= 20;\n        }\n\n        // If sibling node has the same class as\n        // candidate, give it a bonus\n        if ($sibling.attr('class') === $candidate.attr('class')) {\n          contentBonus += topScore * 0.2;\n        }\n\n        var newScore = siblingScore + contentBonus;\n\n        if (newScore >= siblingScoreThreshold) {\n          return wrappingDiv.append($sibling);\n        } else if (sibling.tagName === 'p') {\n          var siblingContent = $sibling.text();\n          var siblingContentLength = textLength(siblingContent);\n\n          if (siblingContentLength > 80 && density < 0.25) {\n            return wrappingDiv.append($sibling);\n          } else if (siblingContentLength <= 80 && density === 0 && hasSentenceEnd(siblingContent)) {\n            return wrappingDiv.append($sibling);\n          }\n        }\n      }\n    }\n\n    return null;\n  });\n\n  if (wrappingDiv.children().length === 1 && wrappingDiv.children().first().get(0) === $candidate.get(0)) {\n    return $candidate;\n  }\n\n  return wrappingDiv;\n}\n\n// After we've calculated scores, loop through all of the possible\n// candidate nodes we found and find the one with the highest score.\nfunction findTopCandidate$$1($) {\n  var $candidate = void 0;\n  var topScore = 0;\n\n  $('[score]').each(function (index, node) {\n    // Ignore tags like BR, HR, etc\n    if (NON_TOP_CANDIDATE_TAGS_RE$1.test(node.tagName)) {\n      return;\n    }\n\n    var $node = $(node);\n    var score = getScore($node);\n\n    if (score > topScore) {\n      topScore = score;\n      $candidate = $node;\n    }\n  });\n\n  // If we don't have a candidate, return the body\n  // or whatever the first element is\n  if (!$candidate) {\n    return $('body') || $('*').first();\n  }\n\n  $candidate = mergeSiblings($candidate, topScore, $);\n\n  return $candidate;\n}\n\n// Scoring\n\nfunction removeUnlessContent($node, $, weight) {\n  // Explicitly save entry-content-asset tags, which are\n  // noted as valuable in the Publisher guidelines. For now\n  // this works everywhere. We may want to consider making\n  // this less of a sure-thing later.\n  if ($node.hasClass('entry-content-asset')) {\n    return;\n  }\n\n  var content = normalizeSpaces($node.text());\n\n  if (scoreCommas(content) < 10) {\n    var pCount = $('p', $node).length;\n    var inputCount = $('input', $node).length;\n\n    // Looks like a form, too many inputs.\n    if (inputCount > pCount / 3) {\n      $node.remove();\n      return;\n    }\n\n    var contentLength = content.length;\n    var imgCount = $('img', $node).length;\n\n    // Content is too short, and there are no images, so\n    // this is probably junk content.\n    if (contentLength < 25 && imgCount === 0) {\n      $node.remove();\n      return;\n    }\n\n    var density = linkDensity($node);\n\n    // Too high of link density, is probably a menu or\n    // something similar.\n    // console.log(weight, density, contentLength)\n    if (weight < 25 && density > 0.2 && contentLength > 75) {\n      $node.remove();\n      return;\n    }\n\n    // Too high of a link density, despite the score being\n    // high.\n    if (weight >= 25 && density > 0.5) {\n      // Don't remove the node if it's a list and the\n      // previous sibling starts with a colon though. That\n      // means it's probably content.\n      var tagName = $node.get(0).tagName.toLowerCase();\n      var nodeIsList = tagName === 'ol' || tagName === 'ul';\n      if (nodeIsList) {\n        var previousNode = $node.prev();\n        if (previousNode && normalizeSpaces(previousNode.text()).slice(-1) === ':') {\n          return;\n        }\n      }\n\n      $node.remove();\n      return;\n    }\n\n    var scriptCount = $('script', $node).length;\n\n    // Too many script tags, not enough content.\n    if (scriptCount > 0 && contentLength < 150) {\n      $node.remove();\n      return;\n    }\n  }\n}\n\n// Given an article, clean it of some superfluous content specified by\n// tags. Things like forms, ads, etc.\n//\n// Tags is an array of tag name's to search through. (like div, form,\n// etc)\n//\n// Return this same doc.\nfunction cleanTags$$1($article, $) {\n  $(CLEAN_CONDITIONALLY_TAGS, $article).each(function (index, node) {\n    var $node = $(node);\n    // If marked to keep, skip it\n    if ($node.hasClass(KEEP_CLASS) || $node.find('.' + KEEP_CLASS).length > 0) return;\n\n    var weight = getScore($node);\n    if (!weight) {\n      weight = getOrInitScore$$1($node, $);\n      setScore($node, $, weight);\n    }\n\n    // drop node if its weight is < 0\n    if (weight < 0) {\n      $node.remove();\n    } else {\n      // deteremine if node seems like content\n      removeUnlessContent($node, $, weight);\n    }\n  });\n\n  return $;\n}\n\nfunction cleanHeaders($article, $) {\n  var title = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : '';\n\n  $(HEADER_TAG_LIST, $article).each(function (index, header) {\n    var $header = $(header);\n    // Remove any headers that appear before all other p tags in the\n    // document. This probably means that it was part of the title, a\n    // subtitle or something else extraneous like a datestamp or byline,\n    // all of which should be handled by other metadata handling.\n    if ($($header, $article).prevAll('p').length === 0) {\n      return $header.remove();\n    }\n\n    // Remove any headers that match the title exactly.\n    if (normalizeSpaces($(header).text()) === title) {\n      return $header.remove();\n    }\n\n    // If this header has a negative weight, it's probably junk.\n    // Get rid of it.\n    if (getWeight($(header)) < 0) {\n      return $header.remove();\n    }\n\n    return $header;\n  });\n\n  return $;\n}\n\n// Rewrite the tag name to div if it's a top level node like body or\n// html to avoid later complications with multiple body tags.\nfunction rewriteTopLevel$$1(article, $) {\n  // I'm not using context here because\n  // it's problematic when converting the\n  // top-level/root node - AP\n  $ = convertNodeTo$$1($('html'), $, 'div');\n  $ = convertNodeTo$$1($('body'), $, 'div');\n\n  return $;\n}\n\nfunction absolutize($, rootUrl, attr, $content) {\n  $('[' + attr + ']', $content).each(function (_, node) {\n    var attrs = getAttrs(node);\n    var url = attrs[attr];\n\n    if (url) {\n      var absoluteUrl = URL.resolve(rootUrl, url);\n      setAttr(node, attr, absoluteUrl);\n    }\n  });\n}\n\nfunction makeLinksAbsolute$$1($content, $, url) {\n  ['href', 'src'].forEach(function (attr) {\n    return absolutize($, url, attr, $content);\n  });\n\n  return $content;\n}\n\nfunction textLength(text) {\n  return text.trim().replace(/\\s+/g, ' ').length;\n}\n\n// Determines what percentage of the text\n// in a node is link text\n// Takes a node, returns a float\nfunction linkDensity($node) {\n  var totalTextLength = textLength($node.text());\n\n  var linkText = $node.find('a').text();\n  var linkLength = textLength(linkText);\n\n  if (totalTextLength > 0) {\n    return linkLength / totalTextLength;\n  } else if (totalTextLength === 0 && linkLength > 0) {\n    return 1;\n  }\n\n  return 0;\n}\n\n// Given a node type to search for, and a list of meta tag names to\n// search for, find a meta tag associated.\nfunction extractFromMeta$$1($, metaNames, cachedNames) {\n  var cleanTags$$1 = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true;\n\n  var foundNames = metaNames.filter(function (name) {\n    return cachedNames.indexOf(name) !== -1;\n  });\n\n  var _iteratorNormalCompletion = true;\n  var _didIteratorError = false;\n  var _iteratorError = undefined;\n\n  try {\n    var _loop = function _loop() {\n      var name = _step.value;\n\n      var type = 'name';\n      var value = 'value';\n\n      var nodes = $('meta[' + type + '=\"' + name + '\"]');\n\n      // Get the unique value of every matching node, in case there\n      // are two meta tags with the same name and value.\n      // Remove empty values.\n      var values = nodes.map(function (index, node) {\n        return $(node).attr(value);\n      }).toArray().filter(function (text) {\n        return text !== '';\n      });\n\n      // If we have more than one value for the same name, we have a\n      // conflict and can't trust any of them. Skip this name. If we have\n      // zero, that means our meta tags had no values. Skip this name\n      // also.\n      if (values.length === 1) {\n        var metaValue = void 0;\n        // Meta values that contain HTML should be stripped, as they\n        // weren't subject to cleaning previously.\n        if (cleanTags$$1) {\n          metaValue = stripTags(values[0], $);\n        } else {\n          metaValue = values[0];\n        }\n\n        return {\n          v: metaValue\n        };\n      }\n    };\n\n    for (var _iterator = _getIterator(foundNames), _step; !(_iteratorNormalCompletion = (_step = _iterator.next()).done); _iteratorNormalCompletion = true) {\n      var _ret = _loop();\n\n      if ((typeof _ret === 'undefined' ? 'undefined' : _typeof(_ret)) === \"object\") return _ret.v;\n    }\n\n    // If nothing is found, return null\n  } catch (err) {\n    _didIteratorError = true;\n    _iteratorError = err;\n  } finally {\n    try {\n      if (!_iteratorNormalCompletion && _iterator.return) {\n        _iterator.return();\n      }\n    } finally {\n      if (_didIteratorError) {\n        throw _iteratorError;\n      }\n    }\n  }\n\n  return null;\n}\n\nfunction isGoodNode($node, maxChildren) {\n  // If it has a number of children, it's more likely a container\n  // element. Skip it.\n  if ($node.children().length > maxChildren) {\n    return false;\n  }\n  // If it looks to be within a comment, skip it.\n  if (withinComment$$1($node)) {\n    return false;\n  }\n\n  return true;\n}\n\n// Given a a list of selectors find content that may\n// be extractable from the document. This is for flat\n// meta-information, like author, title, date published, etc.\nfunction extractFromSelectors$$1($, selectors) {\n  var maxChildren = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 1;\n  var textOnly = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : true;\n  var _iteratorNormalCompletion = true;\n  var _didIteratorError = false;\n  var _iteratorError = undefined;\n\n  try {\n    for (var _iterator = _getIterator(selectors), _step; !(_iteratorNormalCompletion = (_step = _iterator.next()).done); _iteratorNormalCompletion = true) {\n      var selector = _step.value;\n\n      var nodes = $(selector);\n\n      // If we didn't get exactly one of this selector, this may be\n      // a list of articles or comments. Skip it.\n      if (nodes.length === 1) {\n        var $node = $(nodes[0]);\n\n        if (isGoodNode($node, maxChildren)) {\n          var content = void 0;\n          if (textOnly) {\n            content = $node.text();\n          } else {\n            content = $node.html();\n          }\n\n          if (content) {\n            return content;\n          }\n        }\n      }\n    }\n  } catch (err) {\n    _didIteratorError = true;\n    _iteratorError = err;\n  } finally {\n    try {\n      if (!_iteratorNormalCompletion && _iterator.return) {\n        _iterator.return();\n      }\n    } finally {\n      if (_didIteratorError) {\n        throw _iteratorError;\n      }\n    }\n  }\n\n  return null;\n}\n\n// strips all tags from a string of text\nfunction stripTags(text, $) {\n  // Wrapping text in html element prevents errors when text\n  // has no html\n  var cleanText = $('<span>' + text + '</span>').text();\n  return cleanText === '' ? text : cleanText;\n}\n\nfunction withinComment$$1($node) {\n  var parents = $node.parents().toArray();\n  var commentParent = parents.find(function (parent) {\n    var attrs = getAttrs(parent);\n    var nodeClass = attrs.class,\n        id = attrs.id;\n\n    var classAndId = nodeClass + ' ' + id;\n    return classAndId.includes('comment');\n  });\n\n  return commentParent !== undefined;\n}\n\n// Given a node, determine if it's article-like enough to return\n// param: node (a cheerio node)\n// return: boolean\n\nfunction nodeIsSufficient($node) {\n  return $node.text().trim().length >= 100;\n}\n\nfunction isWordpress($) {\n  return $(IS_WP_SELECTOR).length > 0;\n}\n\nfunction getAttrs(node) {\n  var attribs = node.attribs,\n      attributes = node.attributes;\n\n\n  if (!attribs && attributes) {\n    var attrs = _Reflect$ownKeys(attributes).reduce(function (acc, index) {\n      var attr = attributes[index];\n\n      if (!attr.name || !attr.value) return acc;\n\n      acc[attr.name] = attr.value;\n      return acc;\n    }, {});\n    return attrs;\n  }\n\n  return attribs;\n}\n\nfunction setAttr(node, attr, val) {\n  if (node.attribs) {\n    node.attribs[attr] = val;\n  } else if (node.attributes) {\n    node.setAttribute(attr, val);\n  }\n\n  return node;\n}\n\nfunction setAttrs(node, attrs) {\n  if (node.attribs) {\n    node.attribs = attrs;\n  } else if (node.attributes) {\n    while (node.attributes.length > 0) {\n      node.removeAttribute(node.attributes[0].name);\n    }\n\n    _Reflect$ownKeys(attrs).forEach(function (key) {\n      node.setAttribute(key, attrs[key]);\n    });\n  }\n\n  return node;\n}\n\n// DOM manipulation\n\nvar IS_LINK = new RegExp('https?://', 'i');\nvar IS_IMAGE = new RegExp('.(png|gif|jpe?g)', 'i');\n\nvar TAGS_TO_REMOVE = ['script', 'style', 'form'].join(',');\n\n// Convert all instances of images with potentially\n// lazy loaded images into normal images.\n// Many sites will have img tags with no source, or an image tag with a src\n// attribute that a is a placeholer. We need to be able to properly fill in\n// the src attribute so the images are no longer lazy loaded.\nfunction convertLazyLoadedImages($) {\n  $('img').each(function (_, img) {\n    var attrs = getAttrs(img);\n\n    _Reflect$ownKeys(attrs).forEach(function (attr) {\n      var value = attrs[attr];\n\n      if (attr !== 'src' && IS_LINK.test(value) && IS_IMAGE.test(value)) {\n        $(img).attr('src', value);\n      }\n    });\n  });\n\n  return $;\n}\n\nfunction isComment(index, node) {\n  return node.type === 'comment';\n}\n\nfunction cleanComments($) {\n  $.root().find('*').contents().filter(isComment).remove();\n\n  return $;\n}\n\nfunction clean($) {\n  $(TAGS_TO_REMOVE).remove();\n\n  $ = cleanComments($);\n  return $;\n}\n\nvar Resource = {\n\n  // Create a Resource.\n  //\n  // :param url: The URL for the document we should retrieve.\n  // :param response: If set, use as the response rather than\n  //                  attempting to fetch it ourselves. Expects a\n  //                  string.\n  create: function create(url, preparedResponse, parsedUrl) {\n    var _this = this;\n\n    return _asyncToGenerator(_regeneratorRuntime.mark(function _callee() {\n      var result, validResponse;\n      return _regeneratorRuntime.wrap(function _callee$(_context) {\n        while (1) {\n          switch (_context.prev = _context.next) {\n            case 0:\n              result = void 0;\n\n              if (!preparedResponse) {\n                _context.next = 6;\n                break;\n              }\n\n              validResponse = {\n                statusMessage: 'OK',\n                statusCode: 200,\n                headers: {\n                  'content-type': 'text/html',\n                  'content-length': 500\n                }\n              };\n\n\n              result = { body: preparedResponse, response: validResponse };\n              _context.next = 9;\n              break;\n\n            case 6:\n              _context.next = 8;\n              return fetchResource$1(url, parsedUrl);\n\n            case 8:\n              result = _context.sent;\n\n            case 9:\n              if (!result.error) {\n                _context.next = 12;\n                break;\n              }\n\n              result.failed = true;\n              return _context.abrupt('return', result);\n\n            case 12:\n              return _context.abrupt('return', _this.generateDoc(result));\n\n            case 13:\n            case 'end':\n              return _context.stop();\n          }\n        }\n      }, _callee, _this);\n    }))();\n  },\n  generateDoc: function generateDoc(_ref) {\n    var content = _ref.body,\n        response = _ref.response;\n    var contentType = response.headers['content-type'];\n\n    // TODO: Implement is_text function from\n    // https://github.com/ReadabilityHoldings/readability/blob/8dc89613241d04741ebd42fa9fa7df1b1d746303/readability/utils/text.py#L57\n\n    if (!contentType.includes('html') && !contentType.includes('text')) {\n      throw new Error('Content does not appear to be text.');\n    }\n\n    var $ = this.encodeDoc({ content: content, contentType: contentType });\n\n    if ($.root().children().length === 0) {\n      throw new Error('No children, likely a bad parse.');\n    }\n\n    $ = normalizeMetaTags($);\n    $ = convertLazyLoadedImages($);\n    $ = clean($);\n\n    return $;\n  },\n  encodeDoc: function encodeDoc(_ref2) {\n    var content = _ref2.content,\n        contentType = _ref2.contentType;\n\n    var encoding = getEncoding(contentType);\n    var decodedContent = iconv.decode(content, encoding);\n    var $ = cheerio.load(decodedContent);\n\n    // after first cheerio.load, check to see if encoding matches\n    var metaContentType = $('meta[http-equiv=content-type]').attr('content');\n    var properEncoding = getEncoding(metaContentType);\n\n    // if encodings in the header/body dont match, use the one in the body\n    if (properEncoding !== encoding) {\n      decodedContent = iconv.decode(content, properEncoding);\n      $ = cheerio.load(decodedContent);\n    }\n\n    return $;\n  }\n};\n\nvar merge = function merge(extractor, domains) {\n  return domains.reduce(function (acc, domain) {\n    acc[domain] = extractor;\n    return acc;\n  }, {});\n};\n\nfunction mergeSupportedDomains(extractor) {\n  return extractor.supportedDomains ? merge(extractor, [extractor.domain].concat(_toConsumableArray(extractor.supportedDomains))) : merge(extractor, [extractor.domain]);\n}\n\nvar BloggerExtractor = {\n  domain: 'blogspot.com',\n  content: {\n    // Blogger is insane and does not load its content\n    // initially in the page, but it's all there\n    // in noscript\n    selectors: ['.post-content noscript'],\n\n    // Selectors to remove from the extracted content\n    clean: [],\n\n    // Convert the noscript tag to a div\n    transforms: {\n      noscript: 'div'\n    }\n  },\n\n  author: {\n    selectors: ['.post-author-name']\n  },\n\n  title: {\n    selectors: ['.post h2.title']\n  },\n\n  date_published: {\n    selectors: ['span.publishdate']\n  }\n};\n\nvar NYMagExtractor = {\n  domain: 'nymag.com',\n  content: {\n    // Order by most likely. Extractor will stop on first occurrence\n    selectors: ['div.article-content', 'section.body', 'article.article'],\n\n    // Selectors to remove from the extracted content\n    clean: ['.ad', '.single-related-story'],\n\n    // Object of tranformations to make on matched elements\n    // Each key is the selector, each value is the tag to\n    // transform to.\n    // If a function is given, it should return a string\n    // to convert to or nothing (in which case it will not perform\n    // the transformation.\n    transforms: {\n      // Convert h1s to h2s\n      h1: 'h2',\n\n      // Convert lazy-loaded noscript images to figures\n      noscript: function noscript($node, $) {\n        var $children = $.browser ? $($node.text()) : $node.children();\n        if ($children.length === 1 && $children.get(0) !== undefined && $children.get(0).tagName.toLowerCase() === 'img') {\n          return 'figure';\n        }\n\n        return null;\n      }\n    }\n  },\n\n  title: {\n    selectors: ['h1.lede-feature-title', 'h1.headline-primary', 'h1']\n  },\n\n  author: {\n    selectors: ['.by-authors', '.lede-feature-author']\n  },\n\n  dek: {\n    selectors: ['.lede-feature-teaser']\n  },\n\n  date_published: {\n    selectors: [['time.article-timestamp[datetime]', 'datetime'], 'time.article-timestamp']\n  }\n};\n\nvar WikipediaExtractor = {\n  domain: 'wikipedia.org',\n  content: {\n    selectors: ['#mw-content-text'],\n\n    defaultCleaner: false,\n\n    // transform top infobox to an image with caption\n    transforms: {\n      '.infobox img': function infoboxImg($node) {\n        var $parent = $node.parents('.infobox');\n        // Only prepend the first image in .infobox\n        if ($parent.children('img').length === 0) {\n          $parent.prepend($node);\n        }\n      },\n      '.infobox caption': 'figcaption',\n      '.infobox': 'figure'\n    },\n\n    // Selectors to remove from the extracted content\n    clean: ['.mw-editsection', 'figure tr, figure td, figure tbody', '#toc', '.navbox']\n\n  },\n\n  author: 'Wikipedia Contributors',\n\n  title: {\n    selectors: ['h2.title']\n  },\n\n  date_published: {\n    selectors: ['#footer-info-lastmod']\n  }\n\n};\n\nvar TwitterExtractor = {\n  domain: 'twitter.com',\n\n  content: {\n    transforms: {\n      // We're transforming essentially the whole page here.\n      // Twitter doesn't have nice selectors, so our initial\n      // selector grabs the whole page, then we're re-writing\n      // it to fit our needs before we clean it up.\n      '.permalink[role=main]': function permalinkRoleMain($node, $) {\n        var tweets = $node.find('.tweet');\n        var $tweetContainer = $('<div id=\"TWEETS_GO_HERE\"></div>');\n        $tweetContainer.append(tweets);\n        $node.replaceWith($tweetContainer);\n      },\n\n      // Twitter wraps @ with s, which\n      // renders as a strikethrough\n      s: 'span'\n    },\n\n    selectors: ['.permalink[role=main]'],\n\n    defaultCleaner: false,\n\n    clean: ['.stream-item-footer', 'button', '.tweet-details-fixer']\n  },\n\n  author: {\n    selectors: ['.tweet.permalink-tweet .username']\n  },\n\n  date_published: {\n    selectors: [['.permalink-tweet ._timestamp[data-time-ms]', 'data-time-ms']]\n  }\n\n};\n\nvar NYTimesExtractor = {\n  domain: 'www.nytimes.com',\n\n  title: {\n    selectors: ['h1.g-headline', 'h1[itemprop=\"headline\"]', 'h1.headline']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value'], '.g-byline', '.byline']\n  },\n\n  content: {\n    selectors: ['div.g-blocks', 'article#story'],\n\n    transforms: {\n      'img.g-lazy': function imgGLazy($node) {\n        var src = $node.attr('src');\n        // const widths = $node.attr('data-widths')\n        //                   .slice(1)\n        //                   .slice(0, -1)\n        //                   .split(',');\n        // if (widths.length) {\n        //   width = widths.slice(-1);\n        // } else {\n        //   width = '900';\n        // }\n        var width = 640;\n\n        src = src.replace('{{size}}', width);\n        $node.attr('src', src);\n      }\n    },\n\n    clean: ['.ad', 'header#story-header', '.story-body-1 .lede.video', '.visually-hidden', '#newsletter-promo', '.promo', '.comments-button', '.hidden', '.comments', '.supplemental', '.nocontent', '.story-footer-links']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: null,\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\nvar TheAtlanticExtractor = {\n  domain: 'www.theatlantic.com',\n  title: {\n    selectors: ['h1.hed']\n  },\n\n  author: {\n    selectors: ['article#article .article-cover-extra .metadata .byline a']\n  },\n\n  content: {\n    selectors: [['.article-cover figure.lead-img', '.article-body'], '.article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.partner-box', '.callout']\n  },\n\n  date_published: {\n    selectors: [['time[itemProp=\"datePublished\"]', 'datetime']]\n  },\n\n  lead_image_url: null,\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar NewYorkerExtractor = {\n  domain: 'www.newyorker.com',\n  title: {\n    selectors: ['h1.title']\n  },\n\n  author: {\n    selectors: ['.contributors']\n  },\n\n  content: {\n    selectors: ['div#articleBody', 'div.articleBody'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value'], ['time[itemProp=\"datePublished\"]', 'content']],\n\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.dek', 'h2.dek']\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar WiredExtractor = {\n  domain: 'www.wired.com',\n  title: {\n    selectors: ['h1.post-title']\n  },\n\n  author: {\n    selectors: ['a[rel=\"author\"]']\n  },\n\n  content: {\n    selectors: ['article.content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.visually-hidden', 'figcaption img.photo']\n  },\n\n  date_published: {\n    selectors: [['meta[itemprop=\"datePublished\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar MSNExtractor = {\n  domain: 'www.msn.com',\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: ['span.authorname-txt']\n  },\n\n  content: {\n    selectors: ['div.richtext'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['span.caption']\n  },\n\n  date_published: {\n    selectors: ['span.time']\n  },\n\n  lead_image_url: {\n    selectors: []\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar YahooExtractor = {\n  domain: 'www.yahoo.com',\n  title: {\n    selectors: ['header.canvas-header']\n  },\n\n  author: {\n    selectors: ['span.provider-name']\n  },\n\n  content: {\n    selectors: [\n    // enter content selectors\n    '.content-canvas'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.figure-caption']\n  },\n\n  date_published: {\n    selectors: [['time.date[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter dek selectors\n    ]\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar BuzzfeedExtractor = {\n  domain: 'www.buzzfeed.com',\n  title: {\n    selectors: ['h1[id=\"post-title\"]']\n  },\n\n  author: {\n    selectors: ['a[data-action=\"user/username\"]', 'byline__author']\n  },\n\n  content: {\n    selectors: [['.longform_custom_header_media', '#buzz_sub_buzz'], '#buzz_sub_buzz'],\n\n    defaultCleaner: false,\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      h2: 'b',\n\n      'div.longform_custom_header_media': function divLongform_custom_header_media($node) {\n        if ($node.has('img') && $node.has('.longform_header_image_source')) {\n          return 'figure';\n        }\n\n        return null;\n      },\n\n      'figure.longform_custom_header_media .longform_header_image_source': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.instapaper_ignore', '.suplist_list_hide .buzz_superlist_item .buzz_superlist_number_inline', '.share-box', '.print']\n  },\n\n  date_published: {\n    selectors: ['.buzz-datetime']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar WikiaExtractor = {\n  domain: 'fandom.wikia.com',\n  title: {\n    selectors: ['h1.entry-title']\n  },\n\n  author: {\n    selectors: ['.author vcard', '.fn']\n  },\n\n  content: {\n    selectors: ['.grid-content', '.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar LittleThingsExtractor = {\n  domain: 'www.littlethings.com',\n  title: {\n    selectors: ['h1.post-title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  content: {\n    selectors: [\n    // enter content selectors\n    '.mainContentIntro', '.content-wrapper'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar PoliticoExtractor = {\n  domain: 'www.politico.com',\n  title: {\n    selectors: [\n    // enter title selectors\n    ['meta[name=\"og:title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['.story-main-content .byline .vcard']\n  },\n\n  content: {\n    selectors: [\n    // enter content selectors\n    '.story-main-content', '.content-group', '.story-core', '.story-text'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: [],\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['figcaption']\n  },\n\n  date_published: {\n    selectors: [['.story-main-content .timestamp time[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [\n    // enter lead_image_url selectors\n    ['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: null,\n\n  excerpt: null\n};\n\nvar DeadspinExtractor = {\n  domain: 'deadspin.com',\n\n  supportedDomains: ['jezebel.com', 'lifehacker.com', 'kotaku.com', 'gizmodo.com', 'jalopnik.com', 'kinja.com'],\n\n  title: {\n    selectors: ['h1.headline']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  content: {\n    selectors: ['.post-content', '.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'iframe.lazyload[data-recommend-id^=\"youtube://\"]': function iframeLazyloadDataRecommendIdYoutube($node) {\n        var youtubeId = $node.attr('id').split('youtube-')[1];\n        $node.attr('src', 'https://www.youtube.com/embed/' + youtubeId);\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.magnifier', '.lightbox']\n  },\n\n  date_published: {\n    selectors: [['time.updated[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  next_page_url: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  excerpt: {\n    selectors: [\n      // enter selectors\n    ]\n  }\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar BroadwayWorldExtractor = {\n  domain: 'www.broadwayworld.com',\n  title: {\n    selectors: ['h1.article-title']\n  },\n\n  author: {\n    selectors: ['span[itemprop=author]']\n  },\n\n  content: {\n    selectors: ['div[itemprop=articlebody]'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  date_published: {\n    selectors: [['meta[itemprop=datePublished]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  excerpt: {\n    selectors: [\n      // enter selectors\n    ]\n  }\n};\n\n// Rename CustomExtractor\n// to fit your publication\n// (e.g., NYTimesExtractor)\nvar ApartmentTherapyExtractor = {\n  domain: 'www.apartmenttherapy.com',\n  title: {\n    selectors: ['h1.headline']\n  },\n\n  author: {\n    selectors: ['.PostByline__name']\n  },\n\n  content: {\n    selectors: ['div.post__content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div[data-render-react-id=\"images/LazyPicture\"]': function divDataRenderReactIdImagesLazyPicture($node, $) {\n        var data = JSON.parse($node.attr('data-props'));\n        var src = data.sources[0].src;\n\n        var $img = $('<img />').attr('src', src);\n        $node.replaceWith($img);\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  date_published: {\n    selectors: [['.PostByline__timestamp[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  next_page_url: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  excerpt: {\n    selectors: [\n      // enter selectors\n    ]\n  }\n};\n\nvar MediumExtractor = {\n  domain: 'medium.com',\n\n  supportedDomains: ['trackchanges.postlight.com'],\n\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.section-content'], '.section-content', 'article > div > section'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      // Re-write lazy-loaded youtube videos\n      iframe: function iframe($node) {\n        var ytRe = /https:\\/\\/i.embed.ly\\/.+url=https:\\/\\/i\\.ytimg\\.com\\/vi\\/(\\w+)\\//;\n        var thumb = decodeURIComponent($node.attr('data-thumbnail'));\n\n        if (ytRe.test(thumb)) {\n          var _thumb$match = thumb.match(ytRe),\n              _thumb$match2 = _slicedToArray(_thumb$match, 2),\n              _ = _thumb$match2[0],\n              youtubeId = _thumb$match2[1]; // eslint-disable-line\n\n\n          $node.attr('src', 'https://www.youtube.com/embed/' + youtubeId);\n          var $parent = $node.parents('figure');\n          var $caption = $parent.find('figcaption');\n          $parent.empty().append([$node, $caption]);\n        }\n      },\n\n      // rewrite figures to pull out image and caption, remove rest\n      figure: function figure($node) {\n        // ignore if figure has an iframe\n        if ($node.find('iframe').length > 0) return;\n\n        var $img = $node.find('img').slice(-1)[0];\n        var $caption = $node.find('figcaption');\n        $node.empty().append([$img, $caption]);\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  },\n\n  date_published: {\n    selectors: [['time[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  next_page_url: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  excerpt: {\n    selectors: [\n      // enter selectors\n    ]\n  }\n};\n\nvar WwwTmzComExtractor = {\n  domain: 'www.tmz.com',\n\n  title: {\n    selectors: ['.post-title-breadcrumb', 'h1', '.headline']\n  },\n\n  author: 'TMZ STAFF',\n\n  date_published: {\n    selectors: ['.article-posted-date'],\n\n    timezone: 'America/Los_Angeles'\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-content', '.all-post-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.lightbox-link']\n  }\n};\n\nvar WwwWashingtonpostComExtractor = {\n  domain: 'www.washingtonpost.com',\n\n  title: {\n    selectors: ['h1', '#topper-headline-wrapper']\n  },\n\n  author: {\n    selectors: ['.pb-byline']\n  },\n\n  date_published: {\n    selectors: [['.pb-timestamp[itemprop=\"datePublished\"]', 'content']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div.inline-content': function divInlineContent($node) {\n        if ($node.has('img,iframe,video').length > 0) {\n          return 'figure';\n        }\n\n        $node.remove();\n        return null;\n      },\n      '.pb-caption': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.interstitial-link', '.newsletter-inline-unit']\n  }\n};\n\nvar WwwHuffingtonpostComExtractor = {\n  domain: 'www.huffingtonpost.com',\n\n  title: {\n    selectors: ['h1.headline__title']\n  },\n\n  author: {\n    selectors: ['span.author-card__details__name']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:modified_time\"]', 'value'], ['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['h2.headline__subtitle']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.entry__body'],\n\n    defaultCleaner: false,\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      // 'div.top-media': ($node) => {\n      //   const $figure = $node.children('figure');\n      //   $node.replaceWith($figure);\n      // },\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.pull-quote', '.tag-cloud', '.embed-asset', '.below-entry', '.entry-corrections', '#suggested-story']\n  }\n};\n\nvar NewrepublicComExtractor = {\n  domain: 'newrepublic.com',\n\n  title: {\n    selectors: ['h1.article-headline', '.minutes-primary h1.minute-title']\n  },\n\n  author: {\n    selectors: ['div.author-list', '.minutes-primary h3.minute-byline']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: ['h2.article-subhead']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.article-cover', 'div.content-body'], ['.minute-image', '.minutes-primary div.content-body']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['aside']\n  }\n};\n\nvar MoneyCnnComExtractor = {\n  domain: 'money.cnn.com',\n\n  title: {\n    selectors: ['.article-title']\n  },\n\n  author: {\n    selectors: ['.byline a']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"date\"]', 'value']],\n\n    timezone: 'GMT'\n  },\n\n  dek: {\n    selectors: ['#storytext h2']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['#storytext'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.inStoryHeading']\n  }\n};\n\nvar WwwThevergeComExtractor = {\n  domain: 'www.theverge.com',\n\n  supportedDomains: ['www.polygon.com'],\n\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['h2.p-dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [\n    // feature template multi-match\n    ['.c-entry-hero .e-image', '.c-entry-intro', '.c-entry-content'],\n    // regular post multi-match\n    ['.e-image--hero', '.c-entry-content'],\n    // feature template fallback\n    '.l-wrapper .l-feature',\n    // regular post fallback\n    'div.c-entry-content'],\n\n    // Transform lazy-loaded images\n    transforms: {\n      noscript: function noscript($node) {\n        var $children = $node.children();\n        if ($children.length === 1 && $children.get(0).tagName === 'img') {\n          return 'span';\n        }\n\n        return null;\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.aside', 'img.c-dynamic-image']\n  }\n};\n\nvar WwwCnnComExtractor = {\n  domain: 'www.cnn.com',\n\n  title: {\n    selectors: ['h1.pg-headline', 'h1']\n  },\n\n  author: {\n    selectors: ['.metadata__byline__author']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"pubdate\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [\n    // a more specific selector to grab the lead image and the body\n    ['.media__video--thumbnail', '.zn-body-text'],\n    // a fallback for the above\n    '.zn-body-text', 'div[itemprop=\"articleBody\"]'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.zn-body__paragraph, .el__leafmedia--sourced-paragraph': function znBody__paragraphEl__leafmediaSourcedParagraph($node) {\n        var $text = $node.html();\n        if ($text) {\n          return 'p';\n        }\n\n        return null;\n      },\n\n      // this transform cleans the short, all-link sections linking\n      // to related content but not marked as such in any way.\n      '.zn-body__paragraph': function znBody__paragraph($node) {\n        if ($node.has('a')) {\n          if ($node.text().trim() === $node.find('a').text().trim()) {\n            $node.remove();\n          }\n        }\n      },\n\n      '.media__video--thumbnail': 'figure'\n\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwAolComExtractor = {\n  domain: 'www.aol.com',\n\n  title: {\n    selectors: ['h1.p-article__title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: ['.p-article__byline__date'],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwYoutubeComExtractor = {\n  domain: 'www.youtube.com',\n\n  title: {\n    selectors: ['.watch-title', 'h1.watch-title-container']\n  },\n\n  author: {\n    selectors: ['.yt-user-info']\n  },\n\n  date_published: {\n    selectors: [['meta[itemProp=\"datePublished\"]', 'value']],\n\n    timezone: 'GMT'\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    defaultCleaner: false,\n\n    selectors: [['#player-api', '#eow-description']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '#player-api': function playerApi($node, $) {\n        var videoId = $('meta[itemProp=\"videoId\"]').attr('value');\n        $node.html('\\n          <iframe src=\"https://www.youtube.com/embed/' + videoId + '\" frameborder=\"0\" allowfullscreen></iframe>');\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwTheguardianComExtractor = {\n  domain: 'www.theguardian.com',\n\n  title: {\n    selectors: ['.content__headline']\n  },\n\n  author: {\n    selectors: ['p.byline']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.content__standfirst']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.content__article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.hide-on-mobile', '.inline-icon']\n  }\n};\n\nvar WwwSbnationComExtractor = {\n  domain: 'www.sbnation.com',\n\n  title: {\n    selectors: ['h1.c-page-title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['h2.c-entry-summary.p-dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.c-entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwBloombergComExtractor = {\n  domain: 'www.bloomberg.com',\n\n  title: {\n    selectors: [\n    // normal articles\n    '.lede-headline',\n\n    // /graphics/ template\n    'h1.article-title',\n\n    // /news/ template\n    'h1.lede-text-only__hed']\n  },\n\n  author: {\n    selectors: [['meta[name=\"parsely-author\"]', 'value'], '.byline-details__link',\n\n    // /graphics/ template\n    '.bydek',\n\n    // /news/ template\n    '.author']\n  },\n\n  date_published: {\n    selectors: [['time.published-at', 'datetime'], ['time[datetime]', 'datetime'], ['meta[name=\"date\"]', 'value'], ['meta[name=\"parsely-pub-date\"]', 'value']]\n  },\n\n  dek: {\n    selectors: []\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-body__content',\n\n    // /graphics/ template\n    ['section.copy-block'],\n\n    // /news/ template\n    '.body-copy'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.inline-newsletter', '.page-ad']\n  }\n};\n\nvar WwwBustleComExtractor = {\n  domain: 'www.bustle.com',\n\n  title: {\n    selectors: ['h1.post-page__title']\n  },\n\n  author: {\n    selectors: ['div.content-meta__author']\n  },\n\n  date_published: {\n    selectors: [['time.content-meta__published-date[datetime]', 'datetime']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.post-page__body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwNprOrgExtractor = {\n  domain: 'www.npr.org',\n\n  title: {\n    selectors: ['h1', '.storytitle']\n  },\n\n  author: {\n    selectors: ['p.byline__name.byline__name--block']\n  },\n\n  date_published: {\n    selectors: [['.dateblock time[datetime]', 'datetime'], ['meta[name=\"date\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value'], ['meta[name=\"twitter:image:src\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.storytext'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.bucketwrap.image': 'figure',\n      '.bucketwrap.image .credit-caption': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['div.enlarge_measure']\n  }\n};\n\nvar WwwRecodeNetExtractor = {\n  domain: 'www.recode.net',\n\n  title: {\n    selectors: ['h1.c-page-title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['h2.c-entry-summary.p-dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['figure.e-image--hero', '.c-entry-content'], '.c-entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar QzComExtractor = {\n  domain: 'qz.com',\n\n  title: {\n    selectors: ['header.item-header.content-width-responsive']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: ['.timestamp']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['figure.featured-image', '.item-body'], '.item-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.article-aside', '.progressive-image-thumbnail']\n  }\n};\n\nvar WwwDmagazineComExtractor = {\n  domain: 'www.dmagazine.com',\n\n  title: {\n    selectors: ['h1.story__title']\n  },\n\n  author: {\n    selectors: ['.story__info .story__info__item:first-child']\n  },\n\n  date_published: {\n    selectors: [\n    // enter selectors\n    '.story__info'],\n\n    timezone: 'America/Chicago'\n  },\n\n  dek: {\n    selectors: ['.story__subhead']\n  },\n\n  lead_image_url: {\n    selectors: [['article figure a:first-child', 'href']]\n  },\n\n  content: {\n    selectors: ['.story__content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwReutersComExtractor = {\n  domain: 'www.reuters.com',\n\n  title: {\n    selectors: ['h1.article-headline']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"og:article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['#article-text'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.article-subtitle': 'h4'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['#article-byline .author']\n  }\n};\n\nvar MashableComExtractor = {\n  domain: 'mashable.com',\n\n  title: {\n    selectors: ['h1.title']\n  },\n\n  author: {\n    selectors: ['span.author_name a']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"og:article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['section.article-content.blueprint'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.image-credit': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwChicagotribuneComExtractor = {\n  domain: 'www.chicagotribune.com',\n\n  title: {\n    selectors: ['h1.trb_ar_hl_t']\n  },\n\n  author: {\n    selectors: ['span.trb_ar_by_nm_au']\n  },\n\n  date_published: {\n    selectors: [['meta[itemprop=\"datePublished\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.trb_ar_page'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwVoxComExtractor = {\n  domain: 'www.vox.com',\n\n  title: {\n    selectors: ['h1.c-page-title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.p-dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['figure.e-image--hero', '.c-entry-content'], '.c-entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'figure .e-image__image noscript': function figureEImage__imageNoscript($node) {\n        var imgHtml = $node.html();\n        $node.parents('.e-image__image').find('.c-dynamic-image').replaceWith(imgHtml);\n      },\n\n      'figure .e-image__meta': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar NewsNationalgeographicComExtractor = {\n  domain: 'news.nationalgeographic.com',\n\n  title: {\n    selectors: ['h1', 'h1.main-title']\n  },\n\n  author: {\n    selectors: ['.byline-component__contributors b span']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']],\n    format: 'ddd MMM DD HH:mm:ss zz YYYY',\n    timezone: 'EST'\n  },\n\n  dek: {\n    selectors: ['.article__deck']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.parsys.content', '.__image-lead__'], '.content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.parsys.content': function parsysContent($node, $) {\n        var $imgSrc = $node.find('.image.parbase.section').find('.picturefill').first().data('platform-src');\n        if ($imgSrc) {\n          $node.prepend($('<img class=\"__image-lead__\" src=\"' + $imgSrc + '\"/>'));\n        }\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.pull-quote.pull-quote--large']\n  }\n};\n\nvar WwwNationalgeographicComExtractor = {\n  domain: 'www.nationalgeographic.com',\n\n  title: {\n    selectors: ['h1', 'h1.main-title']\n  },\n\n  author: {\n    selectors: ['.byline-component__contributors b span']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.article__deck']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.parsys.content', '.__image-lead__'], '.content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.parsys.content': function parsysContent($node, $) {\n        var $imageParent = $node.children().first();\n        if ($imageParent.hasClass('imageGroup')) {\n          var $dataAttrContainer = $imageParent.find('.media--medium__container').children().first();\n          var imgPath1 = $dataAttrContainer.data('platform-image1-path');\n          var imgPath2 = $dataAttrContainer.data('platform-image2-path');\n          if (imgPath2 && imgPath1) {\n            $node.prepend($('<div class=\"__image-lead__\">\\n                <img src=\"' + imgPath1 + '\"/>\\n                <img src=\"' + imgPath2 + '\"/>\\n              </div>'));\n          }\n        } else {\n          var $imgSrc = $node.find('.image.parbase.section').find('.picturefill').first().data('platform-src');\n          if ($imgSrc) {\n            $node.prepend($('<img class=\"__image-lead__\" src=\"' + $imgSrc + '\"/>'));\n          }\n        }\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.pull-quote.pull-quote--small']\n  }\n};\n\nvar WwwLatimesComExtractor = {\n  domain: 'www.latimes.com',\n\n  title: {\n    selectors: ['.trb_ar_hl']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[itemprop=\"datePublished\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.trb_ar_main'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.trb_ar_la': function trb_ar_la($node) {\n        var $figure = $node.find('figure');\n        $node.replaceWith($figure);\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.trb_ar_by', '.trb_ar_cr']\n  }\n};\n\nvar PagesixComExtractor = {\n  domain: 'pagesix.com',\n\n  supportedDomains: ['nypost.com'],\n\n  title: {\n    selectors: ['h1 a']\n  },\n\n  author: {\n    selectors: ['.byline']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [['meta[name=\"description\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['#featured-image-wrapper', '.entry-content'], '.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '#featured-image-wrapper': 'figure',\n      '.wp-caption-text': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.modal-trigger']\n  }\n};\n\nvar ThefederalistpapersOrgExtractor = {\n  domain: 'thefederalistpapers.org',\n\n  title: {\n    selectors: ['h1.entry-title']\n  },\n\n  author: {\n    selectors: ['main span.entry-author-name']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: [['p[style]']]\n  }\n};\n\nvar WwwCbssportsComExtractor = {\n  domain: 'www.cbssports.com',\n\n  title: {\n    selectors: ['.article-headline']\n  },\n\n  author: {\n    selectors: ['.author-name']\n  },\n\n  date_published: {\n    selectors: [['.date-original-reading-time time', 'datetime']],\n    timezone: 'UTC'\n  },\n\n  dek: {\n    selectors: ['.article-subline']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwMsnbcComExtractor = {\n  domain: 'www.msnbc.com',\n\n  title: {\n    selectors: ['h1', 'h1.is-title-pane']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"DC.date.issued\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [['meta[name=\"description\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.pane-node-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.pane-node-body': function paneNodeBody($node, $) {\n        var _WwwMsnbcComExtractor = _slicedToArray(WwwMsnbcComExtractor.lead_image_url.selectors[0], 2),\n            selector = _WwwMsnbcComExtractor[0],\n            attr = _WwwMsnbcComExtractor[1];\n\n        var src = $(selector).attr(attr);\n        if (src) {\n          $node.prepend('<img src=\"' + src + '\" />');\n        }\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwThepoliticalinsiderComExtractor = {\n  domain: 'www.thepoliticalinsider.com',\n\n  title: {\n    selectors: [['meta[name=\"sailthru.title\"]', 'value']]\n  },\n\n  author: {\n    selectors: [['meta[name=\"sailthru.author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"sailthru.date\"]', 'value']],\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div#article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwMentalflossComExtractor = {\n  domain: 'www.mentalfloss.com',\n\n  title: {\n    selectors: ['h1.title', '.title-group', '.inner']\n  },\n\n  author: {\n    selectors: ['.field-name-field-enhanced-authors']\n  },\n\n  date_published: {\n    selectors: ['.date-display-single'],\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.field.field-name-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar AbcnewsGoComExtractor = {\n  domain: 'abcnews.go.com',\n\n  title: {\n    selectors: ['.article-header h1']\n  },\n\n  author: {\n    selectors: ['.authors'],\n    clean: ['.author-overlay', '.by-text']\n  },\n\n  date_published: {\n    selectors: ['.timestamp'],\n    timezone: 'America/New_York'\n\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-copy'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwNydailynewsComExtractor = {\n  domain: 'www.nydailynews.com',\n\n  title: {\n    selectors: ['h1#ra-headline']\n  },\n\n  author: {\n    selectors: [['meta[name=\"parsely-author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"sailthru.date\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['article#ra-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['dl#ra-tags', '.ra-related', 'a.ra-editor', 'dl#ra-share-bottom']\n  }\n};\n\nvar WwwCnbcComExtractor = {\n  domain: 'www.cnbc.com',\n\n  title: {\n    selectors: ['h1.title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div#article_body.content', 'div.story'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwPopsugarComExtractor = {\n  domain: 'www.popsugar.com',\n\n  title: {\n    selectors: ['h2.post-title', 'title-text']\n  },\n\n  author: {\n    selectors: [['meta[name=\"article:author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['#content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.share-copy-title', '.post-tags', '.reactions']\n  }\n};\n\nvar ObserverComExtractor = {\n  domain: 'observer.com',\n\n  title: {\n    selectors: ['h1.entry-title']\n  },\n\n  author: {\n    selectors: ['.author', '.vcard']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['h2.dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar PeopleComExtractor = {\n  domain: 'people.com',\n\n  title: {\n    selectors: [['meta[name=\"og:title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['a.author.url.fn']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.article-body__inner'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwUsmagazineComExtractor = {\n  domain: 'www.usmagazine.com',\n\n  title: {\n    selectors: ['header h1']\n  },\n\n  author: {\n    selectors: ['a.article-byline.tracked-offpage']\n  },\n\n  date_published: {\n    timezone: 'America/New_York',\n\n    selectors: ['time.article-published-date']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.article-body-inner'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.module-related']\n  }\n};\n\nvar WwwRollingstoneComExtractor = {\n  domain: 'www.rollingstone.com',\n\n  title: {\n    selectors: ['h1.content-title']\n  },\n\n  author: {\n    selectors: ['a.content-author.tracked-offpage']\n  },\n\n  date_published: {\n    selectors: ['time.content-published-date'],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: ['.content-description']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.lead-container', '.article-content'], '.article-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.module-related']\n  }\n};\n\nvar twofortysevensportsComExtractor = {\n  domain: '247sports.com',\n\n  title: {\n    selectors: ['title', 'article header h1']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  date_published: {\n    selectors: [['time[data-published]', 'data-published']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['section.body.article'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar UproxxComExtractor = {\n  domain: 'uproxx.com',\n\n  title: {\n    selectors: ['div.post-top h1']\n  },\n\n  author: {\n    selectors: ['.post-top .authorname']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.post-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div.image': 'figure',\n      'div.image .wp-media-credit': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwEonlineComExtractor = {\n  domain: 'www.eonline.com',\n\n  title: {\n    selectors: ['h1.article__title']\n  },\n\n  author: {\n    selectors: ['.entry-meta__author a']\n  },\n\n  date_published: {\n    selectors: [['meta[itemprop=\"datePublished\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.post-content section, .post-content div.post-content__image']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div.post-content__image': 'figure',\n      'div.post-content__image .image__credits': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwMiamiheraldComExtractor = {\n  domain: 'www.miamiherald.com',\n\n  title: {\n    selectors: ['h1.title']\n  },\n\n  date_published: {\n    selectors: ['p.published-date'],\n\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.dateline-storybody'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwRefinery29ComExtractor = {\n  domain: 'www.refinery29.com',\n\n  title: {\n    selectors: ['h1.title']\n  },\n\n  author: {\n    selectors: ['.contributor']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"sailthru.date\"]', 'value']],\n\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.full-width-opener', '.article-content'], '.article-content', '.body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div.loading noscript': function divLoadingNoscript($node) {\n        var imgHtml = $node.html();\n        $node.parents('.loading').replaceWith(imgHtml);\n      },\n\n      '.section-image': 'figure',\n\n      '.section-image .content-caption': 'figcaption',\n\n      '.section-text': 'p'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.story-share']\n  }\n};\n\nvar WwwMacrumorsComExtractor = {\n  domain: 'www.macrumors.com',\n\n  title: {\n    selectors: ['h1', 'h1.title']\n  },\n\n  author: {\n    selectors: ['.author-url']\n  },\n\n  date_published: {\n    selectors: ['.article .byline'],\n\n    // Wednesday January 18, 2017 11:44 am PST\n    format: 'dddd MMMM D, YYYY h:mm A zz',\n\n    timezone: 'America/Los_Angeles'\n  },\n\n  dek: {\n    selectors: [['meta[name=\"description\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwAndroidcentralComExtractor = {\n  domain: 'www.androidcentral.com',\n\n  title: {\n    selectors: ['h1', 'h1.main-title']\n  },\n\n  author: {\n    selectors: ['.meta-by']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [['meta[name=\"og:description\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['.image-large', 'src']]\n  },\n\n  content: {\n    selectors: ['.article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.intro', 'blockquote']\n  }\n};\n\nvar WwwSiComExtractor = {\n  domain: 'www.si.com',\n\n  title: {\n    selectors: ['h1', 'h1.headline']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: ['.timestamp'],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: ['.quick-hit ul']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['p', '.marquee_large_2x', '.component.image']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n\n      noscript: function noscript($node) {\n        var $children = $node.children();\n        if ($children.length === 1 && $children.get(0).tagName === 'img') {\n          return 'figure';\n        }\n\n        return null;\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: [['.inline-thumb', '.primary-message', '.description', '.instructions']]\n  }\n};\n\nvar WwwRawstoryComExtractor = {\n  domain: 'www.rawstory.com',\n\n  title: {\n    selectors: ['.blog-title']\n  },\n\n  author: {\n    selectors: ['.blog-author a:first-of-type']\n  },\n\n  date_published: {\n    selectors: ['.blog-author a:last-of-type'],\n\n    timezone: 'EST'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.blog-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwCnetComExtractor = {\n  domain: 'www.cnet.com',\n\n  title: {\n    selectors: [['meta[name=\"og:title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['a.author']\n  },\n\n  date_published: {\n    selectors: ['time'],\n\n    timezone: 'America/Los_Angeles'\n  },\n\n  dek: {\n    selectors: ['.article-dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['img.__image-lead__', '.article-main-body'], '.article-main-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'figure.image': function figureImage($node) {\n        var $img = $node.find('img');\n        $img.attr('width', '100%');\n        $img.attr('height', '100%');\n        $img.addClass('__image-lead__');\n        $node.remove('.imgContainer').prepend($img);\n      }\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwCinemablendComExtractor = {\n  domain: 'www.cinemablend.com',\n\n  title: {\n    selectors: ['.story_title']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']],\n\n    timezone: 'EST'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div#wrap_left_content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwTodayComExtractor = {\n  domain: 'www.today.com',\n\n  title: {\n    selectors: ['h1.entry-headline']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"DC.date.issued\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-container'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.label-comment']\n  }\n};\n\nvar WwwHowtogeekComExtractor = {\n  domain: 'www.howtogeek.com',\n\n  title: {\n    selectors: ['title']\n  },\n\n  author: {\n    selectors: ['#authorinfobox a']\n  },\n\n  date_published: {\n    selectors: ['#authorinfobox + div li'],\n    timezone: 'GMT'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.thecontent'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwAlComExtractor = {\n  domain: 'www.al.com',\n\n  title: {\n    selectors: [['meta[name=\"title\"]', 'value']]\n  },\n\n  author: {\n    selectors: [['meta[name=\"article_author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article_date_original\"]', 'value']],\n    timezone: 'EST'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwThepennyhoarderComExtractor = {\n  domain: 'www.thepennyhoarder.com',\n\n  title: {\n    selectors: [['meta[name=\"dcterms.title\"]', 'value']]\n  },\n\n  author: {\n    selectors: [['link[rel=\"author\"]', 'title']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.post-img', '.post-text'], '.post-text'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwWesternjournalismComExtractor = {\n  domain: 'www.westernjournalism.com',\n\n  title: {\n    selectors: ['title', 'h1.entry-title']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"DC.date.issued\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.subtitle']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.article-sharing.top + div'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.ad-notice-small']\n  }\n};\n\nvar FusionNetExtractor = {\n  domain: 'fusion.net',\n\n  title: {\n    selectors: ['.post-title', '.single-title', '.headline']\n  },\n\n  author: {\n    selectors: ['.show-for-medium .byline']\n  },\n\n  date_published: {\n    selectors: [['time.local-time', 'datetime']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.post-featured-media', '.article-content'], '.article-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.fusion-youtube-oembed': 'figure'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwAmericanowComExtractor = {\n  domain: 'www.americanow.com',\n\n  title: {\n    selectors: ['.title', ['meta[name=\"title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['.byline']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"publish_date\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.article-content', '.image', '.body'], '.body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.article-video-wrapper', '.show-for-small-only']\n  }\n};\n\nvar ScienceflyComExtractor = {\n  domain: 'sciencefly.com',\n\n  title: {\n    selectors: ['.entry-title', '.cb-entry-title', '.cb-single-title']\n  },\n\n  author: {\n    selectors: ['div.cb-author', 'div.cb-author-title']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['div.theiaPostSlider_slides img', 'src']]\n  },\n\n  content: {\n    selectors: ['div.theiaPostSlider_slides'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar HellogigglesComExtractor = {\n  domain: 'hellogiggles.com',\n\n  title: {\n    selectors: ['.title']\n  },\n\n  author: {\n    selectors: ['.author-link']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar ThoughtcatalogComExtractor = {\n  domain: 'thoughtcatalog.com',\n\n  title: {\n    selectors: ['h1.title', ['meta[name=\"og:title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['div.col-xs-12.article_header div.writer-container.writer-container-inline.writer-no-avatar h4.writer-name', 'h1.writer-name']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry.post'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.tc_mark']\n  }\n};\n\nvar WwwNjComExtractor = {\n  domain: 'www.nj.com',\n\n  title: {\n    selectors: [['meta[name=\"title\"]', 'value']]\n  },\n\n  author: {\n    selectors: [['meta[name=\"article_author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article_date_original\"]', 'value']],\n\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwInquisitrComExtractor = {\n  domain: 'www.inquisitr.com',\n\n  title: {\n    selectors: ['h1.entry-title.story--header--title']\n  },\n\n  author: {\n    selectors: ['div.story--header--author']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"datePublished\"]', 'value']]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['article.story', '.entry-content.'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.post-category', '.story--header--socials', '.story--header--content']\n  }\n};\n\nvar WwwNbcnewsComExtractor = {\n  domain: 'www.nbcnews.com',\n\n  title: {\n    selectors: ['div.article-hed h1']\n  },\n\n  author: {\n    selectors: ['span.byline_author']\n  },\n\n  date_published: {\n    selectors: [['.flag_article-wrapper time.timestamp_article[datetime]', 'datetime'], '.flag_article-wrapper time'],\n\n    timezone: 'America/New_York'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['div.article-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar FortuneComExtractor = {\n  domain: 'fortune.com',\n\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: [['meta[name=\"author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: ['.MblGHNMJ'],\n\n    timezone: 'UTC'\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['picture', 'article.row'], 'article.row'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar WwwLinkedinComExtractor = {\n  domain: 'www.linkedin.com',\n\n  title: {\n    selectors: ['.article-title', 'h1']\n  },\n\n  author: {\n    selectors: [['meta[name=\"article:author\"]', 'value'], '.entity-name a[rel=author]']\n  },\n\n  date_published: {\n    selectors: [['time[itemprop=\"datePublished\"]', 'datetime']],\n\n    timezone: 'America/Los_Angeles'\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['header figure', '.prose'], '.prose'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.entity-image']\n  }\n};\n\nvar ObamawhitehouseArchivesGovExtractor = {\n  domain: 'obamawhitehouse.archives.gov',\n\n  supportedDomains: ['whitehouse.gov'],\n\n  title: {\n    selectors: ['h1', '.pane-node-title']\n  },\n\n  author: {\n    selectors: ['.blog-author-link', '.node-person-name-link']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"article:published_time\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['.field-name-field-forall-summary']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    defaultCleaner: false,\n\n    selectors: ['div#content-start', '.pane-node-field-forall-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.pane-node-title', '.pane-custom.pane-1']\n  }\n};\n\nvar WwwOpposingviewsComExtractor = {\n  domain: 'www.opposingviews.com',\n\n  title: {\n    selectors: ['h1.title']\n  },\n\n  author: {\n    selectors: ['div.date span span a']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"publish_date\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.show-for-small-only']\n  }\n};\n\nvar WwwProspectmagazineCoUkExtractor = {\n  domain: 'www.prospectmagazine.co.uk',\n\n  title: {\n    selectors: ['.page-title']\n  },\n\n  author: {\n    selectors: ['.aside_author .title']\n  },\n\n  date_published: {\n    selectors: ['.post-info'],\n\n    timezone: 'Europe/London'\n  },\n\n  dek: {\n    selectors: ['.page-subtitle']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [\n    // ['article.type-post div.post_content p'],\n    'article .post_content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\nvar ForwardComExtractor = {\n  domain: 'forward.com',\n\n  title: {\n    selectors: [['meta[name=\"og:title\"]', 'value']]\n  },\n\n  author: {\n    selectors: ['.author-name', ['meta[name=\"sailthru.author\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"date\"]', 'value']]\n  },\n\n  dek: {\n    selectors: [\n      // enter selectors\n    ]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.post-item-media-wrap', '.post-item p']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.donate-box', '.message', '.subtitle']\n  }\n};\n\nvar WwwQdailyComExtractor = {\n  domain: 'www.qdaily.com',\n\n  title: {\n    selectors: ['h2', 'h2.title']\n  },\n\n  author: {\n    selectors: ['.name']\n  },\n\n  date_published: {\n    selectors: [['.date.smart-date', 'data-origindate']]\n  },\n\n  dek: {\n    selectors: ['.excerpt']\n  },\n\n  lead_image_url: {\n    selectors: [['.article-detail-hd img', 'src']]\n  },\n\n  content: {\n    selectors: ['.detail'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.lazyload', '.lazylad', '.lazylood']\n  }\n};\n\nvar GothamistComExtractor = {\n  domain: 'gothamist.com',\n\n  supportedDomains: ['chicagoist.com', 'laist.com', 'sfist.com', 'shanghaiist.com', 'dcist.com'],\n\n  title: {\n    selectors: ['h1', '.entry-header h1']\n  },\n\n  author: {\n    selectors: ['.author']\n  },\n\n  date_published: {\n    selectors: ['abbr', 'abbr.published'],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: [null]\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.entry-body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      'div.image-none': 'figure',\n      '.image-none i': 'figcaption',\n      'div.image-left': 'figure',\n      '.image-left i': 'figcaption',\n      'div.image-right': 'figure',\n      '.image-right i': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.image-none br', '.image-left br', '.image-right br', '.galleryEase']\n  }\n};\n\nvar WwwFoolComExtractor = {\n  domain: 'www.fool.com',\n\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: ['.author-inline .author-name']\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"date\"]', 'value']]\n  },\n\n  dek: {\n    selectors: ['header h2']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.article-content'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {\n      '.caption img': function captionImg($node) {\n        var src = $node.attr('src');\n        $node.parent().replaceWith('<figure><img src=\"' + src + '\"/></figure>');\n      },\n      '.caption': 'figcaption'\n    },\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['#pitch']\n  }\n};\n\nvar WwwSlateComExtractor = {\n  domain: 'www.slate.com',\n\n  title: {\n    selectors: ['.hed', 'h1']\n  },\n\n  author: {\n    selectors: ['a[rel=author]']\n  },\n\n  date_published: {\n    selectors: ['.pub-date'],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: ['.dek']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: ['.body'],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: ['.about-the-author', '.pullquote', '.newsletter-signup-component', '.top-comment']\n  }\n};\n\nvar IciRadioCanadaCaExtractor = {\n  domain: 'ici.radio-canada.ca',\n\n  title: {\n    selectors: ['h1']\n  },\n\n  author: {\n    selectors: [['meta[name=\"dc.creator\"]', 'value']]\n  },\n\n  date_published: {\n    selectors: [['meta[name=\"dc.date.created\"]', 'value']],\n\n    timezone: 'America/New_York'\n  },\n\n  dek: {\n    selectors: ['.bunker-component.lead']\n  },\n\n  lead_image_url: {\n    selectors: [['meta[name=\"og:image\"]', 'value']]\n  },\n\n  content: {\n    selectors: [['.main-multimedia-item', '.news-story-content']],\n\n    // Is there anything in the content you selected that needs transformed\n    // before it's consumable content? E.g., unusual lazy loaded images\n    transforms: {},\n\n    // Is there anything that is in the result that shouldn't be?\n    // The clean selectors will remove anything that matches from\n    // the result\n    clean: []\n  }\n};\n\n\n\nvar CustomExtractors = Object.freeze({\n\tBloggerExtractor: BloggerExtractor,\n\tNYMagExtractor: NYMagExtractor,\n\tWikipediaExtractor: WikipediaExtractor,\n\tTwitterExtractor: TwitterExtractor,\n\tNYTimesExtractor: NYTimesExtractor,\n\tTheAtlanticExtractor: TheAtlanticExtractor,\n\tNewYorkerExtractor: NewYorkerExtractor,\n\tWiredExtractor: WiredExtractor,\n\tMSNExtractor: MSNExtractor,\n\tYahooExtractor: YahooExtractor,\n\tBuzzfeedExtractor: BuzzfeedExtractor,\n\tWikiaExtractor: WikiaExtractor,\n\tLittleThingsExtractor: LittleThingsExtractor,\n\tPoliticoExtractor: PoliticoExtractor,\n\tDeadspinExtractor: DeadspinExtractor,\n\tBroadwayWorldExtractor: BroadwayWorldExtractor,\n\tApartmentTherapyExtractor: ApartmentTherapyExtractor,\n\tMediumExtractor: MediumExtractor,\n\tWwwTmzComExtractor: WwwTmzComExtractor,\n\tWwwWashingtonpostComExtractor: WwwWashingtonpostComExtractor,\n\tWwwHuffingtonpostComExtractor: WwwHuffingtonpostComExtractor,\n\tNewrepublicComExtractor: NewrepublicComExtractor,\n\tMoneyCnnComExtractor: MoneyCnnComExtractor,\n\tWwwThevergeComExtractor: WwwThevergeComExtractor,\n\tWwwCnnComExtractor: WwwCnnComExtractor,\n\tWwwAolComExtractor: WwwAolComExtractor,\n\tWwwYoutubeComExtractor: WwwYoutubeComExtractor,\n\tWwwTheguardianComExtractor: WwwTheguardianComExtractor,\n\tWwwSbnationComExtractor: WwwSbnationComExtractor,\n\tWwwBloombergComExtractor: WwwBloombergComExtractor,\n\tWwwBustleComExtractor: WwwBustleComExtractor,\n\tWwwNprOrgExtractor: WwwNprOrgExtractor,\n\tWwwRecodeNetExtractor: WwwRecodeNetExtractor,\n\tQzComExtractor: QzComExtractor,\n\tWwwDmagazineComExtractor: WwwDmagazineComExtractor,\n\tWwwReutersComExtractor: WwwReutersComExtractor,\n\tMashableComExtractor: MashableComExtractor,\n\tWwwChicagotribuneComExtractor: WwwChicagotribuneComExtractor,\n\tWwwVoxComExtractor: WwwVoxComExtractor,\n\tNewsNationalgeographicComExtractor: NewsNationalgeographicComExtractor,\n\tWwwNationalgeographicComExtractor: WwwNationalgeographicComExtractor,\n\tWwwLatimesComExtractor: WwwLatimesComExtractor,\n\tPagesixComExtractor: PagesixComExtractor,\n\tThefederalistpapersOrgExtractor: ThefederalistpapersOrgExtractor,\n\tWwwCbssportsComExtractor: WwwCbssportsComExtractor,\n\tWwwMsnbcComExtractor: WwwMsnbcComExtractor,\n\tWwwThepoliticalinsiderComExtractor: WwwThepoliticalinsiderComExtractor,\n\tWwwMentalflossComExtractor: WwwMentalflossComExtractor,\n\tAbcnewsGoComExtractor: AbcnewsGoComExtractor,\n\tWwwNydailynewsComExtractor: WwwNydailynewsComExtractor,\n\tWwwCnbcComExtractor: WwwCnbcComExtractor,\n\tWwwPopsugarComExtractor: WwwPopsugarComExtractor,\n\tObserverComExtractor: ObserverComExtractor,\n\tPeopleComExtractor: PeopleComExtractor,\n\tWwwUsmagazineComExtractor: WwwUsmagazineComExtractor,\n\tWwwRollingstoneComExtractor: WwwRollingstoneComExtractor,\n\ttwofortysevensportsComExtractor: twofortysevensportsComExtractor,\n\tUproxxComExtractor: UproxxComExtractor,\n\tWwwEonlineComExtractor: WwwEonlineComExtractor,\n\tWwwMiamiheraldComExtractor: WwwMiamiheraldComExtractor,\n\tWwwRefinery29ComExtractor: WwwRefinery29ComExtractor,\n\tWwwMacrumorsComExtractor: WwwMacrumorsComExtractor,\n\tWwwAndroidcentralComExtractor: WwwAndroidcentralComExtractor,\n\tWwwSiComExtractor: WwwSiComExtractor,\n\tWwwRawstoryComExtractor: WwwRawstoryComExtractor,\n\tWwwCnetComExtractor: WwwCnetComExtractor,\n\tWwwCinemablendComExtractor: WwwCinemablendComExtractor,\n\tWwwTodayComExtractor: WwwTodayComExtractor,\n\tWwwHowtogeekComExtractor: WwwHowtogeekComExtractor,\n\tWwwAlComExtractor: WwwAlComExtractor,\n\tWwwThepennyhoarderComExtractor: WwwThepennyhoarderComExtractor,\n\tWwwWesternjournalismComExtractor: WwwWesternjournalismComExtractor,\n\tFusionNetExtractor: FusionNetExtractor,\n\tWwwAmericanowComExtractor: WwwAmericanowComExtractor,\n\tScienceflyComExtractor: ScienceflyComExtractor,\n\tHellogigglesComExtractor: HellogigglesComExtractor,\n\tThoughtcatalogComExtractor: ThoughtcatalogComExtractor,\n\tWwwNjComExtractor: WwwNjComExtractor,\n\tWwwInquisitrComExtractor: WwwInquisitrComExtractor,\n\tWwwNbcnewsComExtractor: WwwNbcnewsComExtractor,\n\tFortuneComExtractor: FortuneComExtractor,\n\tWwwLinkedinComExtractor: WwwLinkedinComExtractor,\n\tObamawhitehouseArchivesGovExtractor: ObamawhitehouseArchivesGovExtractor,\n\tWwwOpposingviewsComExtractor: WwwOpposingviewsComExtractor,\n\tWwwProspectmagazineCoUkExtractor: WwwProspectmagazineCoUkExtractor,\n\tForwardComExtractor: ForwardComExtractor,\n\tWwwQdailyComExtractor: WwwQdailyComExtractor,\n\tGothamistComExtractor: GothamistComExtractor,\n\tWwwFoolComExtractor: WwwFoolComExtractor,\n\tWwwSlateComExtractor: WwwSlateComExtractor,\n\tIciRadioCanadaCaExtractor: IciRadioCanadaCaExtractor\n});\n\nvar Extractors = _Object$keys(CustomExtractors).reduce(function (acc, key) {\n  var extractor = CustomExtractors[key];\n  return _extends({}, acc, mergeSupportedDomains(extractor));\n}, {});\n\n// CLEAN AUTHOR CONSTANTS\nvar CLEAN_AUTHOR_RE = /^\\s*(posted |written )?by\\s*:?\\s*(.*)/i;\n//     author = re.sub(r'^\\s*(posted |written )?by\\s*:?\\s*(.*)(?i)',\n\n// CLEAN DEK CONSTANTS\nvar TEXT_LINK_RE = new RegExp('http(s)?://', 'i');\n// An ordered list of meta tag names that denote likely article deks.\n// From most distinct to least distinct.\n//\n// NOTE: There are currently no meta tags that seem to provide the right\n// content consistenty enough. Two options were:\n//  - og:description\n//  - dc.description\n// However, these tags often have SEO-specific junk in them that's not\n// header-worthy like a dek is. Excerpt material at best.\n\n\n// An ordered list of Selectors to find likely article deks. From\n// most explicit to least explicit.\n//\n// Should be more restrictive than not, as a failed dek can be pretty\n// detrimental to the aesthetics of an article.\n\n\n// CLEAN DATE PUBLISHED CONSTANTS\nvar MS_DATE_STRING = /^\\d{13}$/i;\nvar SEC_DATE_STRING = /^\\d{10}$/i;\nvar CLEAN_DATE_STRING_RE = /^\\s*published\\s*:?\\s*(.*)/i;\nvar TIME_MERIDIAN_SPACE_RE = /(.*\\d)(am|pm)(.*)/i;\nvar TIME_MERIDIAN_DOTS_RE = /\\.m\\./i;\nvar months = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'];\nvar allMonths = months.join('|');\nvar timestamp1 = '[0-9]{1,2}:[0-9]{2,2}( ?[ap].?m.?)?';\nvar timestamp2 = '[0-9]{1,2}[/-][0-9]{1,2}[/-][0-9]{2,4}';\nvar timestamp3 = '-[0-9]{3,4}$';\nvar SPLIT_DATE_STRING = new RegExp('(' + timestamp1 + ')|(' + timestamp2 + ')|(' + timestamp3 + ')|([0-9]{1,4})|(' + allMonths + ')', 'ig');\n\n// 2016-11-22T08:57-500\n// Check if datetime string has an offset at the end\nvar TIME_WITH_OFFSET_RE = /-\\d{3,4}$/;\n\n// CLEAN TITLE CONSTANTS\n// A regular expression that will match separating characters on a\n// title, that usually denote breadcrumbs or something similar.\nvar TITLE_SPLITTERS_RE = /(: | - | \\| )/g;\n\nvar DOMAIN_ENDINGS_RE = new RegExp('.com$|.net$|.org$|.co.uk$', 'g');\n\n// Take an author string (like 'By David Smith ') and clean it to\n// just the name(s): 'David Smith'.\nfunction cleanAuthor(author) {\n  return normalizeSpaces(author.replace(CLEAN_AUTHOR_RE, '$2').trim());\n}\n\nfunction clean$1(leadImageUrl) {\n  leadImageUrl = leadImageUrl.trim();\n  if (validUrl.isWebUri(leadImageUrl)) {\n    return leadImageUrl;\n  }\n\n  return null;\n}\n\n// Take a dek HTML fragment, and return the cleaned version of it.\n// Return None if the dek wasn't good enough.\nfunction cleanDek(dek, _ref) {\n  var $ = _ref.$,\n      excerpt = _ref.excerpt;\n\n  // Sanity check that we didn't get too short or long of a dek.\n  if (dek.length > 1000 || dek.length < 5) return null;\n\n  // Check that dek isn't the same as excerpt\n  if (excerpt && excerptContent(excerpt, 10) === excerptContent(dek, 10)) return null;\n\n  var dekText = stripTags(dek, $);\n\n  // Plain text links shouldn't exist in the dek. If we have some, it's\n  // not a good dek - bail.\n  if (TEXT_LINK_RE.test(dekText)) return null;\n\n  return normalizeSpaces(dekText.trim());\n}\n\n// Is there a compelling reason to use moment here?\n// Mostly only being used for the isValid() method,\n// but could just check for 'Invalid Date' string.\n\nfunction cleanDateString(dateString) {\n  return (dateString.match(SPLIT_DATE_STRING) || []).join(' ').replace(TIME_MERIDIAN_DOTS_RE, 'm').replace(TIME_MERIDIAN_SPACE_RE, '$1 $2 $3').replace(CLEAN_DATE_STRING_RE, '$1').trim();\n}\n\nfunction createDate(dateString, timezone, format) {\n  if (TIME_WITH_OFFSET_RE.test(dateString)) {\n    return moment(new Date(dateString));\n  }\n\n  return timezone ? moment.tz(dateString, format || parseFormat(dateString), timezone) : moment(dateString, format || parseFormat(dateString));\n}\n\n// Take a date published string, and hopefully return a date out of\n// it. Return none if we fail.\nfunction cleanDatePublished(dateString) {\n  var _ref = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {},\n      timezone = _ref.timezone,\n      format = _ref.format;\n\n  // If string is in milliseconds or seconds, convert to int and return\n  if (MS_DATE_STRING.test(dateString) || SEC_DATE_STRING.test(dateString)) {\n    return new Date(parseInt(dateString, 10)).toISOString();\n  }\n\n  var date = createDate(dateString, timezone, format);\n\n  if (!date.isValid()) {\n    dateString = cleanDateString(dateString);\n    date = createDate(dateString, timezone, format);\n  }\n\n  return date.isValid() ? date.toISOString() : null;\n}\n\n// Clean our article content, returning a new, cleaned node.\nfunction extractCleanNode(article, _ref) {\n  var $ = _ref.$,\n      _ref$cleanConditional = _ref.cleanConditionally,\n      cleanConditionally = _ref$cleanConditional === undefined ? true : _ref$cleanConditional,\n      _ref$title = _ref.title,\n      title = _ref$title === undefined ? '' : _ref$title,\n      _ref$url = _ref.url,\n      url = _ref$url === undefined ? '' : _ref$url,\n      _ref$defaultCleaner = _ref.defaultCleaner,\n      defaultCleaner = _ref$defaultCleaner === undefined ? true : _ref$defaultCleaner;\n\n  // Rewrite the tag name to div if it's a top level node like body or\n  // html to avoid later complications with multiple body tags.\n  rewriteTopLevel$$1(article, $);\n\n  // Drop small images and spacer images\n  // Only do this is defaultCleaner is set to true;\n  // this can sometimes be too aggressive.\n  if (defaultCleaner) cleanImages(article, $);\n\n  // Make links absolute\n  makeLinksAbsolute$$1(article, $, url);\n\n  // Mark elements to keep that would normally be removed.\n  // E.g., stripJunkTags will remove iframes, so we're going to mark\n  // YouTube/Vimeo videos as elements we want to keep.\n  markToKeep(article, $, url);\n\n  // Drop certain tags like <title>, etc\n  // This is -mostly- for cleanliness, not security.\n  stripJunkTags(article, $);\n\n  // H1 tags are typically the article title, which should be extracted\n  // by the title extractor instead. If there's less than 3 of them (<3),\n  // strip them. Otherwise, turn 'em into H2s.\n  cleanHOnes$$1(article, $);\n\n  // Clean headers\n  cleanHeaders(article, $, title);\n\n  // We used to clean UL's and OL's here, but it was leading to\n  // too many in-article lists being removed. Consider a better\n  // way to detect menus particularly and remove them.\n  // Also optionally running, since it can be overly aggressive.\n  if (defaultCleaner) cleanTags$$1(article, $, cleanConditionally);\n\n  // Remove empty paragraph nodes\n  removeEmpty(article, $);\n\n  // Remove unnecessary attributes\n  cleanAttributes$$1(article, $);\n\n  return article;\n}\n\nfunction cleanTitle$$1(title, _ref) {\n  var url = _ref.url,\n      $ = _ref.$;\n\n  // If title has |, :, or - in it, see if\n  // we can clean it up.\n  if (TITLE_SPLITTERS_RE.test(title)) {\n    title = resolveSplitTitle(title, url);\n  }\n\n  // Final sanity check that we didn't get a crazy title.\n  // if (title.length > 150 || title.length < 15) {\n  if (title.length > 150) {\n    // If we did, return h1 from the document if it exists\n    var h1 = $('h1');\n    if (h1.length === 1) {\n      title = h1.text();\n    }\n  }\n\n  // strip any html tags in the title text\n  return normalizeSpaces(stripTags(title, $).trim());\n}\n\nfunction extractBreadcrumbTitle(splitTitle, text) {\n  // This must be a very breadcrumbed title, like:\n  // The Best Gadgets on Earth : Bits : Blogs : NYTimes.com\n  // NYTimes - Blogs - Bits - The Best Gadgets on Earth\n  if (splitTitle.length >= 6) {\n    var _ret = function () {\n      // Look to see if we can find a breadcrumb splitter that happens\n      // more than once. If we can, we'll be able to better pull out\n      // the title.\n      var termCounts = splitTitle.reduce(function (acc, titleText) {\n        acc[titleText] = acc[titleText] ? acc[titleText] + 1 : 1;\n        return acc;\n      }, {});\n\n      var _Reflect$ownKeys$redu = _Reflect$ownKeys(termCounts).reduce(function (acc, key) {\n        if (acc[1] < termCounts[key]) {\n          return [key, termCounts[key]];\n        }\n\n        return acc;\n      }, [0, 0]),\n          _Reflect$ownKeys$redu2 = _slicedToArray(_Reflect$ownKeys$redu, 2),\n          maxTerm = _Reflect$ownKeys$redu2[0],\n          termCount = _Reflect$ownKeys$redu2[1];\n\n      // We found a splitter that was used more than once, so it\n      // is probably the breadcrumber. Split our title on that instead.\n      // Note: max_term should be <= 4 characters, so that \" >> \"\n      // will match, but nothing longer than that.\n\n\n      if (termCount >= 2 && maxTerm.length <= 4) {\n        splitTitle = text.split(maxTerm);\n      }\n\n      var splitEnds = [splitTitle[0], splitTitle.slice(-1)];\n      var longestEnd = splitEnds.reduce(function (acc, end) {\n        return acc.length > end.length ? acc : end;\n      }, '');\n\n      if (longestEnd.length > 10) {\n        return {\n          v: longestEnd\n        };\n      }\n\n      return {\n        v: text\n      };\n    }();\n\n    if ((typeof _ret === 'undefined' ? 'undefined' : _typeof(_ret)) === \"object\") return _ret.v;\n  }\n\n  return null;\n}\n\nfunction cleanDomainFromTitle(splitTitle, url) {\n  // Search the ends of the title, looking for bits that fuzzy match\n  // the URL too closely. If one is found, discard it and return the\n  // rest.\n  //\n  // Strip out the big TLDs - it just makes the matching a bit more\n  // accurate. Not the end of the world if it doesn't strip right.\n  var _URL$parse = URL.parse(url),\n      host = _URL$parse.host;\n\n  var nakedDomain = host.replace(DOMAIN_ENDINGS_RE, '');\n\n  var startSlug = splitTitle[0].toLowerCase().replace(' ', '');\n  var startSlugRatio = wuzzy.levenshtein(startSlug, nakedDomain);\n\n  if (startSlugRatio > 0.4 && startSlug.length > 5) {\n    return splitTitle.slice(2).join('');\n  }\n\n  var endSlug = splitTitle.slice(-1)[0].toLowerCase().replace(' ', '');\n  var endSlugRatio = wuzzy.levenshtein(endSlug, nakedDomain);\n\n  if (endSlugRatio > 0.4 && endSlug.length >= 5) {\n    return splitTitle.slice(0, -2).join('');\n  }\n\n  return null;\n}\n\n// Given a title with separators in it (colons, dashes, etc),\n// resolve whether any of the segments should be removed.\nfunction resolveSplitTitle(title) {\n  var url = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : '';\n\n  // Splits while preserving splitters, like:\n  // ['The New New York', ' - ', 'The Washington Post']\n  var splitTitle = title.split(TITLE_SPLITTERS_RE);\n  if (splitTitle.length === 1) {\n    return title;\n  }\n\n  var newTitle = extractBreadcrumbTitle(splitTitle, title);\n  if (newTitle) return newTitle;\n\n  newTitle = cleanDomainFromTitle(splitTitle, url);\n  if (newTitle) return newTitle;\n\n  // Fuzzy ratio didn't find anything, so this title is probably legit.\n  // Just return it all.\n  return title;\n}\n\nvar Cleaners = {\n  author: cleanAuthor,\n  lead_image_url: clean$1,\n  dek: cleanDek,\n  date_published: cleanDatePublished,\n  content: extractCleanNode,\n  title: cleanTitle$$1\n};\n\n// Using a variety of scoring techniques, extract the content most\n// likely to be article text.\n//\n// If strip_unlikely_candidates is True, remove any elements that\n// match certain criteria first. (Like, does this element have a\n// classname of \"comment\")\n//\n// If weight_nodes is True, use classNames and IDs to determine the\n// worthiness of nodes.\n//\n// Returns a cheerio object $\nfunction extractBestNode($, opts) {\n  // clone the node so we can get back to our\n  // initial parsed state if needed\n  // TODO Do I need this? – AP\n  // let $root = $.root().clone()\n\n  if (opts.stripUnlikelyCandidates) {\n    $ = stripUnlikelyCandidates($);\n  }\n\n  $ = convertToParagraphs$$1($);\n  $ = scoreContent$$1($, opts.weightNodes);\n  var $topCandidate = findTopCandidate$$1($);\n\n  return $topCandidate;\n}\n\nvar GenericContentExtractor = {\n  defaultOpts: {\n    stripUnlikelyCandidates: true,\n    weightNodes: true,\n    cleanConditionally: true\n  },\n\n  // Extract the content for this resource - initially, pass in our\n  // most restrictive opts which will return the highest quality\n  // content. On each failure, retry with slightly more lax opts.\n  //\n  // :param return_type: string. If \"node\", should return the content\n  // as a cheerio node rather than as an HTML string.\n  //\n  // Opts:\n  // stripUnlikelyCandidates: Remove any elements that match\n  // non-article-like criteria first.(Like, does this element\n  //   have a classname of \"comment\")\n  //\n  // weightNodes: Modify an elements score based on whether it has\n  // certain classNames or IDs. Examples: Subtract if a node has\n  // a className of 'comment', Add if a node has an ID of\n  // 'entry-content'.\n  //\n  // cleanConditionally: Clean the node to return of some\n  // superfluous content. Things like forms, ads, etc.\n  extract: function extract(_ref, opts) {\n    var $ = _ref.$,\n        html = _ref.html,\n        title = _ref.title,\n        url = _ref.url;\n\n    opts = _extends({}, this.defaultOpts, opts);\n\n    $ = $ || cheerio.load(html);\n\n    // Cascade through our extraction-specific opts in an ordered fashion,\n    // turning them off as we try to extract content.\n    var node = this.getContentNode($, title, url, opts);\n\n    if (nodeIsSufficient(node)) {\n      return this.cleanAndReturnNode(node, $);\n    }\n\n    // We didn't succeed on first pass, one by one disable our\n    // extraction opts and try again.\n    var _iteratorNormalCompletion = true;\n    var _didIteratorError = false;\n    var _iteratorError = undefined;\n\n    try {\n      for (var _iterator = _getIterator(_Reflect$ownKeys(opts).filter(function (k) {\n        return opts[k] === true;\n      })), _step; !(_iteratorNormalCompletion = (_step = _iterator.next()).done); _iteratorNormalCompletion = true) {\n        var key = _step.value;\n\n        opts[key] = false;\n        $ = cheerio.load(html);\n\n        node = this.getContentNode($, title, url, opts);\n\n        if (nodeIsSufficient(node)) {\n          break;\n        }\n      }\n    } catch (err) {\n      _didIteratorError = true;\n      _iteratorError = err;\n    } finally {\n      try {\n        if (!_iteratorNormalCompletion && _iterator.return) {\n          _iterator.return();\n        }\n      } finally {\n        if (_didIteratorError) {\n          throw _iteratorError;\n        }\n      }\n    }\n\n    return this.cleanAndReturnNode(node, $);\n  },\n\n\n  // Get node given current options\n  getContentNode: function getContentNode($, title, url, opts) {\n    return extractCleanNode(extractBestNode($, opts), {\n      $: $,\n      cleanConditionally: opts.cleanConditionally,\n      title: title,\n      url: url\n    });\n  },\n\n\n  // Once we got here, either we're at our last-resort node, or\n  // we broke early. Make sure we at least have -something- before we\n  // move forward.\n  cleanAndReturnNode: function cleanAndReturnNode(node, $) {\n    if (!node) {\n      return null;\n    }\n\n    return normalizeSpaces($.html(node));\n\n    // if return_type == \"html\":\n    //     return normalize_spaces(node_to_html(node))\n    // else:\n    //     return node\n  }\n};\n\n// TODO: It would be great if we could merge the meta and selector lists into\n// a list of objects, because we could then rank them better. For example,\n// .hentry .entry-title is far better suited than <meta title>.\n\n// An ordered list of meta tag names that denote likely article titles. All\n// attributes should be lowercase for faster case-insensitive matching. From\n// most distinct to least distinct.\nvar STRONG_TITLE_META_TAGS = ['tweetmeme-title', 'dc.title', 'rbtitle', 'headline', 'title'];\n\n// og:title is weak because it typically contains context that we don't like,\n// for example the source site's name. Gotta get that brand into facebook!\nvar WEAK_TITLE_META_TAGS = ['og:title'];\n\n// An ordered list of XPath Selectors to find likely article titles. From\n// most explicit to least explicit.\n//\n// Note - this does not use classes like CSS. This checks to see if the string\n// exists in the className, which is not as accurate as .className (which\n// splits on spaces/endlines), but for our purposes it's close enough. The\n// speed tradeoff is worth the accuracy hit.\nvar STRONG_TITLE_SELECTORS = ['.hentry .entry-title', 'h1#articleHeader', 'h1.articleHeader', 'h1.article', '.instapaper_title', '#meebo-title'];\n\nvar WEAK_TITLE_SELECTORS = ['article h1', '#entry-title', '.entry-title', '#entryTitle', '#entrytitle', '.entryTitle', '.entrytitle', '#articleTitle', '.articleTitle', 'post post-title', 'h1.title', 'h2.article', 'h1', 'html head title', 'title'];\n\nvar GenericTitleExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        url = _ref.url,\n        metaCache = _ref.metaCache;\n\n    // First, check to see if we have a matching meta tag that we can make\n    // use of that is strongly associated with the headline.\n    var title = void 0;\n\n    title = extractFromMeta$$1($, STRONG_TITLE_META_TAGS, metaCache);\n    if (title) return cleanTitle$$1(title, { url: url, $: $ });\n\n    // Second, look through our content selectors for the most likely\n    // article title that is strongly associated with the headline.\n    title = extractFromSelectors$$1($, STRONG_TITLE_SELECTORS);\n    if (title) return cleanTitle$$1(title, { url: url, $: $ });\n\n    // Third, check for weaker meta tags that may match.\n    title = extractFromMeta$$1($, WEAK_TITLE_META_TAGS, metaCache);\n    if (title) return cleanTitle$$1(title, { url: url, $: $ });\n\n    // Last, look for weaker selector tags that may match.\n    title = extractFromSelectors$$1($, WEAK_TITLE_SELECTORS);\n    if (title) return cleanTitle$$1(title, { url: url, $: $ });\n\n    // If no matches, return an empty string\n    return '';\n  }\n};\n\n// An ordered list of meta tag names that denote likely article authors. All\n// attributes should be lowercase for faster case-insensitive matching. From\n// most distinct to least distinct.\n//\n// Note: \"author\" is too often the -developer- of the page, so it is not\n// added here.\nvar AUTHOR_META_TAGS = ['byl', 'clmst', 'dc.author', 'dcsext.author', 'dc.creator', 'rbauthors', 'authors'];\n\nvar AUTHOR_MAX_LENGTH = 300;\n\n// An ordered list of XPath Selectors to find likely article authors. From\n// most explicit to least explicit.\n//\n// Note - this does not use classes like CSS. This checks to see if the string\n// exists in the className, which is not as accurate as .className (which\n// splits on spaces/endlines), but for our purposes it's close enough. The\n// speed tradeoff is worth the accuracy hit.\nvar AUTHOR_SELECTORS = ['.entry .entry-author', '.author.vcard .fn', '.author .vcard .fn', '.byline.vcard .fn', '.byline .vcard .fn', '.byline .by .author', '.byline .by', '.byline .author', '.post-author.vcard', '.post-author .vcard', 'a[rel=author]', '#by_author', '.by_author', '#entryAuthor', '.entryAuthor', '.byline a[href*=author]', '#author .authorname', '.author .authorname', '#author', '.author', '.articleauthor', '.ArticleAuthor', '.byline'];\n\n// An ordered list of Selectors to find likely article authors, with\n// regular expression for content.\nvar bylineRe = /^[\\n\\s]*By/i;\nvar BYLINE_SELECTORS_RE = [['#byline', bylineRe], ['.byline', bylineRe]];\n\nvar GenericAuthorExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        metaCache = _ref.metaCache;\n\n    var author = void 0;\n\n    // First, check to see if we have a matching\n    // meta tag that we can make use of.\n    author = extractFromMeta$$1($, AUTHOR_META_TAGS, metaCache);\n    if (author && author.length < AUTHOR_MAX_LENGTH) {\n      return cleanAuthor(author);\n    }\n\n    // Second, look through our selectors looking for potential authors.\n    author = extractFromSelectors$$1($, AUTHOR_SELECTORS, 2);\n    if (author && author.length < AUTHOR_MAX_LENGTH) {\n      return cleanAuthor(author);\n    }\n\n    // Last, use our looser regular-expression based selectors for\n    // potential authors.\n    var _iteratorNormalCompletion = true;\n    var _didIteratorError = false;\n    var _iteratorError = undefined;\n\n    try {\n      for (var _iterator = _getIterator(BYLINE_SELECTORS_RE), _step; !(_iteratorNormalCompletion = (_step = _iterator.next()).done); _iteratorNormalCompletion = true) {\n        var _ref4 = _step.value;\n\n        var _ref3 = _slicedToArray(_ref4, 2);\n\n        var selector = _ref3[0];\n        var regex = _ref3[1];\n\n        var node = $(selector);\n        if (node.length === 1) {\n          var text = node.text();\n          if (regex.test(text)) {\n            return cleanAuthor(text);\n          }\n        }\n      }\n    } catch (err) {\n      _didIteratorError = true;\n      _iteratorError = err;\n    } finally {\n      try {\n        if (!_iteratorNormalCompletion && _iterator.return) {\n          _iterator.return();\n        }\n      } finally {\n        if (_didIteratorError) {\n          throw _iteratorError;\n        }\n      }\n    }\n\n    return null;\n  }\n};\n\n// An ordered list of meta tag names that denote\n// likely date published dates. All attributes\n// should be lowercase for faster case-insensitive matching.\n// From most distinct to least distinct.\nvar DATE_PUBLISHED_META_TAGS = ['article:published_time', 'displaydate', 'dc.date', 'dc.date.issued', 'rbpubdate', 'publish_date', 'pub_date', 'pagedate', 'pubdate', 'revision_date', 'doc_date', 'date_created', 'content_create_date', 'lastmodified', 'created', 'date'];\n\n// An ordered list of XPath Selectors to find\n// likely date published dates. From most explicit\n// to least explicit.\nvar DATE_PUBLISHED_SELECTORS = ['.hentry .dtstamp.published', '.hentry .published', '.hentry .dtstamp.updated', '.hentry .updated', '.single .published', '.meta .published', '.meta .postDate', '.entry-date', '.byline .date', '.postmetadata .date', '.article_datetime', '.date-header', '.story-date', '.dateStamp', '#story .datetime', '.dateline', '.pubdate'];\n\n// An ordered list of compiled regular expressions to find likely date\n// published dates from the URL. These should always have the first\n// reference be a date string that is parseable by dateutil.parser.parse\nvar abbrevMonthsStr = '(jan|feb|mar|apr|may|jun|jul|aug|sep|oct|nov|dec)';\nvar DATE_PUBLISHED_URL_RES = [\n// /2012/01/27/ but not /2012/01/293\nnew RegExp('/(20\\\\d{2}/\\\\d{2}/\\\\d{2})/', 'i'),\n// 20120127 or 20120127T but not 2012012733 or 8201201733\n// /[^0-9](20\\d{2}[01]\\d[0-3]\\d)([^0-9]|$)/i,\n// 2012-01-27\nnew RegExp('(20\\\\d{2}-[01]\\\\d-[0-3]\\\\d)', 'i'),\n// /2012/jan/27/\nnew RegExp('/(20\\\\d{2}/' + abbrevMonthsStr + '/[0-3]\\\\d)/', 'i')];\n\nvar GenericDatePublishedExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        url = _ref.url,\n        metaCache = _ref.metaCache;\n\n    var datePublished = void 0;\n    // First, check to see if we have a matching meta tag\n    // that we can make use of.\n    // Don't try cleaning tags from this string\n    datePublished = extractFromMeta$$1($, DATE_PUBLISHED_META_TAGS, metaCache, false);\n    if (datePublished) return cleanDatePublished(datePublished);\n\n    // Second, look through our selectors looking for potential\n    // date_published's.\n    datePublished = extractFromSelectors$$1($, DATE_PUBLISHED_SELECTORS);\n    if (datePublished) return cleanDatePublished(datePublished);\n\n    // Lastly, look to see if a dately string exists in the URL\n    datePublished = extractFromUrl(url, DATE_PUBLISHED_URL_RES);\n    if (datePublished) return cleanDatePublished(datePublished);\n\n    return null;\n  }\n};\n\n// import {\n//   DEK_META_TAGS,\n//   DEK_SELECTORS,\n//   DEK_URL_RES,\n// } from './constants';\n\n// import { cleanDek } from 'cleaners';\n\n// import {\n//   extractFromMeta,\n//   extractFromSelectors,\n// } from 'utils/dom';\n\n// Currently there is only one selector for\n// deks. We should simply return null here\n// until we have a more robust generic option.\n// Below is the original source for this, for reference.\nvar GenericDekExtractor = {\n  // extract({ $, content, metaCache }) {\n  extract: function extract() {\n    return null;\n  }\n};\n\n\n\n// def extract_dek(self):\n//     # First, check to see if we have a matching meta tag that we can make\n//     # use of.\n//     dek = self.extract_from_meta('dek', constants.DEK_META_TAGS)\n//     if not dek:\n//         # Second, look through our CSS/XPath selectors. This may return\n//         # an HTML fragment.\n//         dek = self.extract_from_selectors('dek',\n//                                            constants.DEK_SELECTORS,\n//                                            text_only=False)\n//\n//     if dek:\n//         # Make sure our dek isn't in the first few thousand characters\n//         # of the content, otherwise it's just the start of the article\n//         # and not a true dek.\n//         content = self.extract_content()\n//         content_chunk = normalize_spaces(strip_tags(content[:2000]))\n//         dek_chunk = normalize_spaces(dek[:100]) # Already has no tags.\n//\n//         # 80% or greater similarity means the dek was very similar to some\n//         # of the starting content, so we skip it.\n//         if fuzz.partial_ratio(content_chunk, dek_chunk) < 80:\n//             return dek\n//\n//     return None\n\n// An ordered list of meta tag names that denote likely article leading images.\n// All attributes should be lowercase for faster case-insensitive matching.\n// From most distinct to least distinct.\nvar LEAD_IMAGE_URL_META_TAGS = ['og:image', 'twitter:image', 'image_src'];\n\nvar LEAD_IMAGE_URL_SELECTORS = ['link[rel=image_src]'];\n\nvar POSITIVE_LEAD_IMAGE_URL_HINTS = ['upload', 'wp-content', 'large', 'photo', 'wp-image'];\nvar POSITIVE_LEAD_IMAGE_URL_HINTS_RE = new RegExp(POSITIVE_LEAD_IMAGE_URL_HINTS.join('|'), 'i');\n\nvar NEGATIVE_LEAD_IMAGE_URL_HINTS = ['spacer', 'sprite', 'blank', 'throbber', 'gradient', 'tile', 'bg', 'background', 'icon', 'social', 'header', 'hdr', 'advert', 'spinner', 'loader', 'loading', 'default', 'rating', 'share', 'facebook', 'twitter', 'theme', 'promo', 'ads', 'wp-includes'];\nvar NEGATIVE_LEAD_IMAGE_URL_HINTS_RE = new RegExp(NEGATIVE_LEAD_IMAGE_URL_HINTS.join('|'), 'i');\n\nvar GIF_RE = /\\.gif(\\?.*)?$/i;\nvar JPG_RE = /\\.jpe?g(\\?.*)?$/i;\n\nfunction getSig($node) {\n  return ($node.attr('class') || '') + ' ' + ($node.attr('id') || '');\n}\n\n// Scores image urls based on a variety of heuristics.\nfunction scoreImageUrl(url) {\n  url = url.trim();\n  var score = 0;\n\n  if (POSITIVE_LEAD_IMAGE_URL_HINTS_RE.test(url)) {\n    score += 20;\n  }\n\n  if (NEGATIVE_LEAD_IMAGE_URL_HINTS_RE.test(url)) {\n    score -= 20;\n  }\n\n  // TODO: We might want to consider removing this as\n  // gifs are much more common/popular than they once were\n  if (GIF_RE.test(url)) {\n    score -= 10;\n  }\n\n  if (JPG_RE.test(url)) {\n    score += 10;\n  }\n\n  // PNGs are neutral.\n\n  return score;\n}\n\n// Alt attribute usually means non-presentational image.\nfunction scoreAttr($img) {\n  if ($img.attr('alt')) {\n    return 5;\n  }\n\n  return 0;\n}\n\n// Look through our parent and grandparent for figure-like\n// container elements, give a bonus if we find them\nfunction scoreByParents($img) {\n  var score = 0;\n  var $figParent = $img.parents('figure').first();\n\n  if ($figParent.length === 1) {\n    score += 25;\n  }\n\n  var $parent = $img.parent();\n  var $gParent = void 0;\n  if ($parent.length === 1) {\n    $gParent = $parent.parent();\n  }\n\n  [$parent, $gParent].forEach(function ($node) {\n    if (PHOTO_HINTS_RE$1.test(getSig($node))) {\n      score += 15;\n    }\n  });\n\n  return score;\n}\n\n// Look at our immediate sibling and see if it looks like it's a\n// caption. Bonus if so.\nfunction scoreBySibling($img) {\n  var score = 0;\n  var $sibling = $img.next();\n  var sibling = $sibling.get(0);\n\n  if (sibling && sibling.tagName.toLowerCase() === 'figcaption') {\n    score += 25;\n  }\n\n  if (PHOTO_HINTS_RE$1.test(getSig($sibling))) {\n    score += 15;\n  }\n\n  return score;\n}\n\nfunction scoreByDimensions($img) {\n  var score = 0;\n\n  var width = parseFloat($img.attr('width'));\n  var height = parseFloat($img.attr('height'));\n  var src = $img.attr('src');\n\n  // Penalty for skinny images\n  if (width && width <= 50) {\n    score -= 50;\n  }\n\n  // Penalty for short images\n  if (height && height <= 50) {\n    score -= 50;\n  }\n\n  if (width && height && !src.includes('sprite')) {\n    var area = width * height;\n    if (area < 5000) {\n      // Smaller than 50 x 100\n      score -= 100;\n    } else {\n      score += Math.round(area / 1000);\n    }\n  }\n\n  return score;\n}\n\nfunction scoreByPosition($imgs, index) {\n  return $imgs.length / 2 - index;\n}\n\n// Given a resource, try to find the lead image URL from within\n// it. Like content and next page extraction, uses a scoring system\n// to determine what the most likely image may be. Short circuits\n// on really probable things like og:image meta tags.\n//\n// Potential signals to still take advantage of:\n//   * domain\n//   * weird aspect ratio\nvar GenericLeadImageUrlExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        content = _ref.content,\n        metaCache = _ref.metaCache,\n        html = _ref.html;\n\n    var cleanUrl = void 0;\n    if (!$.browser && $('head').length === 0) {\n      $('*').first().prepend(html);\n    }\n\n    // Check to see if we have a matching meta tag that we can make use of.\n    // Moving this higher because common practice is now to use large\n    // images on things like Open Graph or Twitter cards.\n    // images usually have for things like Open Graph.\n    var imageUrl = extractFromMeta$$1($, LEAD_IMAGE_URL_META_TAGS, metaCache, false);\n\n    if (imageUrl) {\n      cleanUrl = clean$1(imageUrl);\n\n      if (cleanUrl) return cleanUrl;\n    }\n\n    // Next, try to find the \"best\" image via the content.\n    // We'd rather not have to fetch each image and check dimensions,\n    // so try to do some analysis and determine them instead.\n    var $content = $(content);\n    var imgs = $('img', $content).toArray();\n    var imgScores = {};\n\n    imgs.forEach(function (img, index) {\n      var $img = $(img);\n      var src = $img.attr('src');\n\n      if (!src) return;\n\n      var score = scoreImageUrl(src);\n      score += scoreAttr($img);\n      score += scoreByParents($img);\n      score += scoreBySibling($img);\n      score += scoreByDimensions($img);\n      score += scoreByPosition(imgs, index);\n\n      imgScores[src] = score;\n    });\n\n    var _Reflect$ownKeys$redu = _Reflect$ownKeys(imgScores).reduce(function (acc, key) {\n      return imgScores[key] > acc[1] ? [key, imgScores[key]] : acc;\n    }, [null, 0]),\n        _Reflect$ownKeys$redu2 = _slicedToArray(_Reflect$ownKeys$redu, 2),\n        topUrl = _Reflect$ownKeys$redu2[0],\n        topScore = _Reflect$ownKeys$redu2[1];\n\n    if (topScore > 0) {\n      cleanUrl = clean$1(topUrl);\n\n      if (cleanUrl) return cleanUrl;\n    }\n\n    // If nothing else worked, check to see if there are any really\n    // probable nodes in the doc, like <link rel=\"image_src\" />.\n    var _iteratorNormalCompletion = true;\n    var _didIteratorError = false;\n    var _iteratorError = undefined;\n\n    try {\n      for (var _iterator = _getIterator(LEAD_IMAGE_URL_SELECTORS), _step; !(_iteratorNormalCompletion = (_step = _iterator.next()).done); _iteratorNormalCompletion = true) {\n        var selector = _step.value;\n\n        var $node = $(selector).first();\n        var src = $node.attr('src');\n        if (src) {\n          cleanUrl = clean$1(src);\n          if (cleanUrl) return cleanUrl;\n        }\n\n        var href = $node.attr('href');\n        if (href) {\n          cleanUrl = clean$1(href);\n          if (cleanUrl) return cleanUrl;\n        }\n\n        var value = $node.attr('value');\n        if (value) {\n          cleanUrl = clean$1(value);\n          if (cleanUrl) return cleanUrl;\n        }\n      }\n    } catch (err) {\n      _didIteratorError = true;\n      _iteratorError = err;\n    } finally {\n      try {\n        if (!_iteratorNormalCompletion && _iterator.return) {\n          _iterator.return();\n        }\n      } finally {\n        if (_didIteratorError) {\n          throw _iteratorError;\n        }\n      }\n    }\n\n    return null;\n  }\n};\n\n\n\n// def extract(self):\n//     \"\"\"\n//     # First, try to find the \"best\" image via the content.\n//     # We'd rather not have to fetch each image and check dimensions,\n//     # so try to do some analysis and determine them instead.\n//     content = self.extractor.extract_content(return_type=\"node\")\n//     imgs = content.xpath('.//img')\n//     img_scores = defaultdict(int)\n//     logger.debug('Scoring %d images from content', len(imgs))\n//     for (i, img) in enumerate(imgs):\n//         img_score = 0\n//\n//         if not 'src' in img.attrib:\n//             logger.debug('No src attribute found')\n//             continue\n//\n//         try:\n//             parsed_img = urlparse(img.attrib['src'])\n//             img_path = parsed_img.path.lower()\n//         except ValueError:\n//             logger.debug('ValueError getting img path.')\n//             continue\n//         logger.debug('Image path is %s', img_path)\n//\n//         if constants.POSITIVE_LEAD_IMAGE_URL_HINTS_RE.match(img_path):\n//             logger.debug('Positive URL hints match. Adding 20.')\n//             img_score += 20\n//\n//         if constants.NEGATIVE_LEAD_IMAGE_URL_HINTS_RE.match(img_path):\n//             logger.debug('Negative URL hints match. Subtracting 20.')\n//             img_score -= 20\n//\n//         # Gifs are more often structure than photos\n//         if img_path.endswith('gif'):\n//             logger.debug('gif found. Subtracting 10.')\n//             img_score -= 10\n//\n//         # JPGs are more often photographs\n//         if img_path.endswith('jpg'):\n//             logger.debug('jpg found. Adding 10.')\n//             img_score += 10\n//\n//         # PNGs are neutral.\n//\n//         # Alt attribute usually means non-presentational image.\n//         if 'alt' in img.attrib and len(img.attrib['alt']) > 5:\n//             logger.debug('alt attribute found. Adding 5.')\n//             img_score += 5\n//\n//         # Look through our parent and grandparent for figure-like\n//         # container elements, give a bonus if we find them\n//         parents = [img.getparent()]\n//         if parents[0] is not None and parents[0].getparent() is not None:\n//             parents.append(parents[0].getparent())\n//         for p in parents:\n//             if p.tag == 'figure':\n//                 logger.debug('Parent with <figure> tag found. Adding 25.')\n//                 img_score += 25\n//\n//             p_sig = ' '.join([p.get('id', ''), p.get('class', '')])\n//             if constants.PHOTO_HINTS_RE.search(p_sig):\n//                 logger.debug('Photo hints regex match. Adding 15.')\n//                 img_score += 15\n//\n//         # Look at our immediate sibling and see if it looks like it's a\n//         # caption. Bonus if so.\n//         sibling = img.getnext()\n//         if sibling is not None:\n//             if sibling.tag == 'figcaption':\n//                 img_score += 25\n//\n//             sib_sig = ' '.join([sibling.get('id', ''),\n//                                 sibling.get('class', '')]).lower()\n//             if 'caption' in sib_sig:\n//                 img_score += 15\n//\n//         # Pull out width/height if they were set.\n//         img_width = None\n//         img_height = None\n//         if 'width' in img.attrib:\n//             try:\n//                 img_width = float(img.get('width'))\n//             except ValueError:\n//                 pass\n//         if 'height' in img.attrib:\n//             try:\n//                 img_height = float(img.get('height'))\n//             except ValueError:\n//                 pass\n//\n//         # Penalty for skinny images\n//         if img_width and img_width <= 50:\n//             logger.debug('Skinny image found. Subtracting 50.')\n//             img_score -= 50\n//\n//         # Penalty for short images\n//         if img_height and img_height <= 50:\n//             # Wide, short images are more common than narrow, tall ones\n//             logger.debug('Short image found. Subtracting 25.')\n//             img_score -= 25\n//\n//         if img_width and img_height and not 'sprite' in img_path:\n//             area = img_width * img_height\n//\n//             if area < 5000: # Smaller than 50x100\n//                 logger.debug('Image with small area found. Subtracting 100.')\n//                 img_score -= 100\n//             else:\n//                 img_score += round(area/1000.0)\n//\n//         # If the image is higher on the page than other images,\n//         # it gets a bonus. Penalty if lower.\n//         logger.debug('Adding page placement bonus of %d.', len(imgs)/2 - i)\n//         img_score += len(imgs)/2 - i\n//\n//         # Use the raw src here because we munged img_path for case\n//         # insensitivity\n//         logger.debug('Final score is %d.', img_score)\n//         img_scores[img.attrib['src']] += img_score\n//\n//     top_score = 0\n//     top_url = None\n//     for (url, score) in img_scores.items():\n//         if score > top_score:\n//             top_url = url\n//             top_score = score\n//\n//     if top_score > 0:\n//         logger.debug('Using top score image from content. Score was %d', top_score)\n//         return top_url\n//\n//\n//     # If nothing else worked, check to see if there are any really\n//     # probable nodes in the doc, like <link rel=\"image_src\" />.\n//     logger.debug('Trying to find lead image in probable nodes')\n//     for selector in constants.LEAD_IMAGE_URL_SELECTORS:\n//         nodes = self.resource.extract_by_selector(selector)\n//         for node in nodes:\n//             clean_value = None\n//             if node.attrib.get('src'):\n//                 clean_value = self.clean(node.attrib['src'])\n//\n//             if not clean_value and node.attrib.get('href'):\n//                 clean_value = self.clean(node.attrib['href'])\n//\n//             if not clean_value and node.attrib.get('value'):\n//                 clean_value = self.clean(node.attrib['value'])\n//\n//             if clean_value:\n//                 logger.debug('Found lead image in probable nodes.')\n//                 logger.debug('Node was: %s', node)\n//                 return clean_value\n//\n//     return None\n\nfunction scoreSimilarity(score, articleUrl, href) {\n  // Do this last and only if we have a real candidate, because it's\n  // potentially expensive computationally. Compare the link to this\n  // URL using difflib to get the % similarity of these URLs. On a\n  // sliding scale, subtract points from this link based on\n  // similarity.\n  if (score > 0) {\n    var similarity = new difflib.SequenceMatcher(null, articleUrl, href).ratio();\n    // Subtract .1 from diff_percent when calculating modifier,\n    // which means that if it's less than 10% different, we give a\n    // bonus instead. Ex:\n    //  3% different = +17.5 points\n    // 10% different = 0 points\n    // 20% different = -25 points\n    var diffPercent = 1.0 - similarity;\n    var diffModifier = -(250 * (diffPercent - 0.2));\n    return score + diffModifier;\n  }\n\n  return 0;\n}\n\nfunction scoreLinkText(linkText, pageNum) {\n  // If the link text can be parsed as a number, give it a minor\n  // bonus, with a slight bias towards lower numbered pages. This is\n  // so that pages that might not have 'next' in their text can still\n  // get scored, and sorted properly by score.\n  var score = 0;\n\n  if (IS_DIGIT_RE.test(linkText.trim())) {\n    var linkTextAsNum = parseInt(linkText, 10);\n    // If it's the first page, we already got it on the first call.\n    // Give it a negative score. Otherwise, up to page 10, give a\n    // small bonus.\n    if (linkTextAsNum < 2) {\n      score = -30;\n    } else {\n      score = Math.max(0, 10 - linkTextAsNum);\n    }\n\n    // If it appears that the current page number is greater than\n    // this links page number, it's a very bad sign. Give it a big\n    // penalty.\n    if (pageNum && pageNum >= linkTextAsNum) {\n      score -= 50;\n    }\n  }\n\n  return score;\n}\n\nfunction scorePageInLink(pageNum, isWp) {\n  // page in the link = bonus. Intentionally ignore wordpress because\n  // their ?p=123 link style gets caught by this even though it means\n  // separate documents entirely.\n  if (pageNum && !isWp) {\n    return 50;\n  }\n\n  return 0;\n}\n\nvar DIGIT_RE$2 = /\\d/;\n\n// A list of words that, if found in link text or URLs, likely mean that\n// this link is not a next page link.\nvar EXTRANEOUS_LINK_HINTS$1 = ['print', 'archive', 'comment', 'discuss', 'e-mail', 'email', 'share', 'reply', 'all', 'login', 'sign', 'single', 'adx', 'entry-unrelated'];\nvar EXTRANEOUS_LINK_HINTS_RE$1 = new RegExp(EXTRANEOUS_LINK_HINTS$1.join('|'), 'i');\n\n// Match any link text/classname/id that looks like it could mean the next\n// page. Things like: next, continue, >, >>, » but not >|, »| as those can\n// mean last page.\nvar NEXT_LINK_TEXT_RE$1 = new RegExp('(next|weiter|continue|>([^|]|$)|»([^|]|$))', 'i');\n\n// Match any link text/classname/id that looks like it is an end link: things\n// like \"first\", \"last\", \"end\", etc.\nvar CAP_LINK_TEXT_RE$1 = new RegExp('(first|last|end)', 'i');\n\n// Match any link text/classname/id that looks like it means the previous\n// page.\nvar PREV_LINK_TEXT_RE$1 = new RegExp('(prev|earl|old|new|<|«)', 'i');\n\n// Match any phrase that looks like it could be page, or paging, or pagination\n\nfunction scoreExtraneousLinks(href) {\n  // If the URL itself contains extraneous values, give a penalty.\n  if (EXTRANEOUS_LINK_HINTS_RE$1.test(href)) {\n    return -25;\n  }\n\n  return 0;\n}\n\nfunction makeSig$1($link) {\n  return ($link.attr('class') || '') + ' ' + ($link.attr('id') || '');\n}\n\nfunction scoreByParents$1($link) {\n  // If a parent node contains paging-like classname or id, give a\n  // bonus. Additionally, if a parent_node contains bad content\n  // (like 'sponsor'), give a penalty.\n  var $parent = $link.parent();\n  var positiveMatch = false;\n  var negativeMatch = false;\n  var score = 0;\n\n  _Array$from(range(0, 4)).forEach(function () {\n    if ($parent.length === 0) {\n      return;\n    }\n\n    var parentData = makeSig$1($parent, ' ');\n\n    // If we have 'page' or 'paging' in our data, that's a good\n    // sign. Add a bonus.\n    if (!positiveMatch && PAGE_RE.test(parentData)) {\n      positiveMatch = true;\n      score += 25;\n    }\n\n    // If we have 'comment' or something in our data, and\n    // we don't have something like 'content' as well, that's\n    // a bad sign. Give a penalty.\n    if (!negativeMatch && NEGATIVE_SCORE_RE.test(parentData) && EXTRANEOUS_LINK_HINTS_RE$1.test(parentData)) {\n      if (!POSITIVE_SCORE_RE.test(parentData)) {\n        negativeMatch = true;\n        score -= 25;\n      }\n    }\n\n    $parent = $parent.parent();\n  });\n\n  return score;\n}\n\nfunction scorePrevLink(linkData) {\n  // If the link has something like \"previous\", its definitely\n  // an old link, skip it.\n  if (PREV_LINK_TEXT_RE$1.test(linkData)) {\n    return -200;\n  }\n\n  return 0;\n}\n\nfunction shouldScore(href, articleUrl, baseUrl, parsedUrl, linkText, previousUrls) {\n  // skip if we've already fetched this url\n  if (previousUrls.find(function (url) {\n    return href === url;\n  }) !== undefined) {\n    return false;\n  }\n\n  // If we've already parsed this URL, or the URL matches the base\n  // URL, or is empty, skip it.\n  if (!href || href === articleUrl || href === baseUrl) {\n    return false;\n  }\n\n  var hostname = parsedUrl.hostname;\n\n  var _URL$parse = URL.parse(href),\n      linkHost = _URL$parse.hostname;\n\n  // Domain mismatch.\n\n\n  if (linkHost !== hostname) {\n    return false;\n  }\n\n  // If href doesn't contain a digit after removing the base URL,\n  // it's certainly not the next page.\n  var fragment = href.replace(baseUrl, '');\n  if (!DIGIT_RE$2.test(fragment)) {\n    return false;\n  }\n\n  // This link has extraneous content (like \"comment\") in its link\n  // text, so we skip it.\n  if (EXTRANEOUS_LINK_HINTS_RE$1.test(linkText)) {\n    return false;\n  }\n\n  // Next page link text is never long, skip if it is too long.\n  if (linkText.length > 25) {\n    return false;\n  }\n\n  return true;\n}\n\nfunction scoreBaseUrl(href, baseRegex) {\n  // If the baseUrl isn't part of this URL, penalize this\n  // link. It could still be the link, but the odds are lower.\n  // Example:\n  // http://www.actionscript.org/resources/articles/745/1/JavaScript-and-VBScript-Injection-in-ActionScript-3/Page1.html\n  if (!baseRegex.test(href)) {\n    return -25;\n  }\n\n  return 0;\n}\n\nfunction scoreNextLinkText(linkData) {\n  // Things like \"next\", \">>\", etc.\n  if (NEXT_LINK_TEXT_RE$1.test(linkData)) {\n    return 50;\n  }\n\n  return 0;\n}\n\nfunction scoreCapLinks(linkData) {\n  // Cap links are links like \"last\", etc.\n  if (CAP_LINK_TEXT_RE$1.test(linkData)) {\n    // If we found a link like \"last\", but we've already seen that\n    // this link is also \"next\", it's fine. If it's not been\n    // previously marked as \"next\", then it's probably bad.\n    // Penalize.\n    if (NEXT_LINK_TEXT_RE$1.test(linkData)) {\n      return -65;\n    }\n  }\n\n  return 0;\n}\n\nfunction makeBaseRegex(baseUrl) {\n  return new RegExp('^' + baseUrl, 'i');\n}\n\nfunction makeSig($link, linkText) {\n  return (linkText || $link.text()) + ' ' + ($link.attr('class') || '') + ' ' + ($link.attr('id') || '');\n}\n\nfunction scoreLinks(_ref) {\n  var links = _ref.links,\n      articleUrl = _ref.articleUrl,\n      baseUrl = _ref.baseUrl,\n      parsedUrl = _ref.parsedUrl,\n      $ = _ref.$,\n      _ref$previousUrls = _ref.previousUrls,\n      previousUrls = _ref$previousUrls === undefined ? [] : _ref$previousUrls;\n\n  parsedUrl = parsedUrl || URL.parse(articleUrl);\n  var baseRegex = makeBaseRegex(baseUrl);\n  var isWp = isWordpress($);\n\n  // Loop through all links, looking for hints that they may be next-page\n  // links. Things like having \"page\" in their textContent, className or\n  // id, or being a child of a node with a page-y className or id.\n  //\n  // After we do that, assign each page a score, and pick the one that\n  // looks most like the next page link, as long as its score is strong\n  // enough to have decent confidence.\n  var scoredPages = links.reduce(function (possiblePages, link) {\n    // Remove any anchor data since we don't do a good job\n    // standardizing URLs (it's hard), we're going to do\n    // some checking with and without a trailing slash\n    var attrs = getAttrs(link);\n\n    // if href is undefined, return\n    if (!attrs.href) return possiblePages;\n\n    var href = removeAnchor(attrs.href);\n    var $link = $(link);\n    var linkText = $link.text();\n\n    if (!shouldScore(href, articleUrl, baseUrl, parsedUrl, linkText, previousUrls)) {\n      return possiblePages;\n    }\n\n    // ## PASSED THE FIRST-PASS TESTS. Start scoring. ##\n    if (!possiblePages[href]) {\n      possiblePages[href] = {\n        score: 0,\n        linkText: linkText,\n        href: href\n      };\n    } else {\n      possiblePages[href].linkText = possiblePages[href].linkText + '|' + linkText;\n    }\n\n    var possiblePage = possiblePages[href];\n    var linkData = makeSig($link, linkText);\n    var pageNum = pageNumFromUrl(href);\n\n    var score = scoreBaseUrl(href, baseRegex);\n    score += scoreNextLinkText(linkData);\n    score += scoreCapLinks(linkData);\n    score += scorePrevLink(linkData);\n    score += scoreByParents$1($link);\n    score += scoreExtraneousLinks(href);\n    score += scorePageInLink(pageNum, isWp);\n    score += scoreLinkText(linkText, pageNum);\n    score += scoreSimilarity(score, articleUrl, href);\n\n    possiblePage.score = score;\n\n    return possiblePages;\n  }, {});\n\n  return _Reflect$ownKeys(scoredPages).length === 0 ? null : scoredPages;\n}\n\n// Looks for and returns next page url\n// for multi-page articles\nvar GenericNextPageUrlExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        url = _ref.url,\n        parsedUrl = _ref.parsedUrl,\n        _ref$previousUrls = _ref.previousUrls,\n        previousUrls = _ref$previousUrls === undefined ? [] : _ref$previousUrls;\n\n    parsedUrl = parsedUrl || URL.parse(url);\n\n    var articleUrl = removeAnchor(url);\n    var baseUrl = articleBaseUrl(url, parsedUrl);\n\n    var links = $('a[href]').toArray();\n\n    var scoredLinks = scoreLinks({\n      links: links,\n      articleUrl: articleUrl,\n      baseUrl: baseUrl,\n      parsedUrl: parsedUrl,\n      $: $,\n      previousUrls: previousUrls\n    });\n\n    // If no links were scored, return null\n    if (!scoredLinks) return null;\n\n    // now that we've scored all possible pages,\n    // find the biggest one.\n    var topPage = _Reflect$ownKeys(scoredLinks).reduce(function (acc, link) {\n      var scoredLink = scoredLinks[link];\n      return scoredLink.score > acc.score ? scoredLink : acc;\n    }, { score: -100 });\n\n    // If the score is less than 50, we're not confident enough to use it,\n    // so we fail.\n    if (topPage.score >= 50) {\n      return topPage.href;\n    }\n\n    return null;\n  }\n};\n\nvar CANONICAL_META_SELECTORS = ['og:url'];\n\nfunction parseDomain(url) {\n  var parsedUrl = URL.parse(url);\n  var hostname = parsedUrl.hostname;\n\n  return hostname;\n}\n\nfunction result(url) {\n  return {\n    url: url,\n    domain: parseDomain(url)\n  };\n}\n\nvar GenericUrlExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        url = _ref.url,\n        metaCache = _ref.metaCache;\n\n    var $canonical = $('link[rel=canonical]');\n    if ($canonical.length !== 0) {\n      var href = $canonical.attr('href');\n      if (href) {\n        return result(href);\n      }\n    }\n\n    var metaUrl = extractFromMeta$$1($, CANONICAL_META_SELECTORS, metaCache);\n    if (metaUrl) {\n      return result(metaUrl);\n    }\n\n    return result(url);\n  }\n};\n\nvar EXCERPT_META_SELECTORS = ['og:description', 'twitter:description'];\n\nfunction clean$2(content, $) {\n  var maxLength = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 200;\n\n  content = content.replace(/[\\s\\n]+/g, ' ').trim();\n  return ellipsize(content, maxLength, { ellipse: '&hellip;' });\n}\n\nvar GenericExcerptExtractor = {\n  extract: function extract(_ref) {\n    var $ = _ref.$,\n        content = _ref.content,\n        metaCache = _ref.metaCache;\n\n    var excerpt = extractFromMeta$$1($, EXCERPT_META_SELECTORS, metaCache);\n    if (excerpt) {\n      return clean$2(stripTags(excerpt, $));\n    }\n    // Fall back to excerpting from the extracted content\n    var maxLength = 200;\n    var shortContent = content.slice(0, maxLength * 5);\n    return clean$2($(shortContent).text(), $, maxLength);\n  }\n};\n\nvar GenericWordCountExtractor = {\n  extract: function extract(_ref) {\n    var content = _ref.content;\n\n    var $ = cheerio.load(content);\n    var $content = $('div').first();\n\n    var text = normalizeSpaces($content.text());\n    return text.split(/\\s/).length;\n  }\n};\n\nvar GenericExtractor = {\n  // This extractor is the default for all domains\n  domain: '*',\n  title: GenericTitleExtractor.extract,\n  date_published: GenericDatePublishedExtractor.extract,\n  author: GenericAuthorExtractor.extract,\n  content: GenericContentExtractor.extract.bind(GenericContentExtractor),\n  lead_image_url: GenericLeadImageUrlExtractor.extract,\n  dek: GenericDekExtractor.extract,\n  next_page_url: GenericNextPageUrlExtractor.extract,\n  url_and_domain: GenericUrlExtractor.extract,\n  excerpt: GenericExcerptExtractor.extract,\n  word_count: GenericWordCountExtractor.extract,\n  direction: function direction(_ref) {\n    var title = _ref.title;\n    return stringDirection.getDirection(title);\n  },\n\n  extract: function extract(options) {\n    var html = options.html,\n        $ = options.$;\n\n\n    if (html && !$) {\n      var loaded = cheerio.load(html);\n      options.$ = loaded;\n    }\n\n    var title = this.title(options);\n    var date_published = this.date_published(options);\n    var author = this.author(options);\n    var content = this.content(_extends({}, options, { title: title }));\n    var lead_image_url = this.lead_image_url(_extends({}, options, { content: content }));\n    var dek = this.dek(_extends({}, options, { content: content }));\n    var next_page_url = this.next_page_url(options);\n    var excerpt = this.excerpt(_extends({}, options, { content: content }));\n    var word_count = this.word_count(_extends({}, options, { content: content }));\n    var direction = this.direction({ title: title });\n\n    var _url_and_domain = this.url_and_domain(options),\n        url = _url_and_domain.url,\n        domain = _url_and_domain.domain;\n\n    return {\n      title: title,\n      author: author,\n      date_published: date_published || null,\n      dek: dek,\n      lead_image_url: lead_image_url,\n      content: content,\n      next_page_url: next_page_url,\n      url: url,\n      domain: domain,\n      excerpt: excerpt,\n      word_count: word_count,\n      direction: direction\n    };\n  }\n};\n\nvar Detectors = {\n  'meta[name=\"al:ios:app_name\"][value=\"Medium\"]': MediumExtractor,\n  'meta[name=\"generator\"][value=\"blogger\"]': BloggerExtractor\n};\n\nfunction detectByHtml($) {\n  var selector = _Reflect$ownKeys(Detectors).find(function (s) {\n    return $(s).length > 0;\n  });\n\n  return Detectors[selector];\n}\n\nfunction getExtractor(url, parsedUrl, $) {\n  parsedUrl = parsedUrl || URL.parse(url);\n  var _parsedUrl = parsedUrl,\n      hostname = _parsedUrl.hostname;\n\n  var baseDomain = hostname.split('.').slice(-2).join('.');\n\n  return Extractors[hostname] || Extractors[baseDomain] || detectByHtml($) || GenericExtractor;\n}\n\n// Remove elements by an array of selectors\nfunction cleanBySelectors($content, $, _ref) {\n  var clean = _ref.clean;\n\n  if (!clean) return $content;\n\n  $(clean.join(','), $content).remove();\n\n  return $content;\n}\n\n// Transform matching elements\nfunction transformElements($content, $, _ref2) {\n  var transforms = _ref2.transforms;\n\n  if (!transforms) return $content;\n\n  _Reflect$ownKeys(transforms).forEach(function (key) {\n    var $matches = $(key, $content);\n    var value = transforms[key];\n\n    // If value is a string, convert directly\n    if (typeof value === 'string') {\n      $matches.each(function (index, node) {\n        convertNodeTo$$1($(node), $, transforms[key]);\n      });\n    } else if (typeof value === 'function') {\n      // If value is function, apply function to node\n      $matches.each(function (index, node) {\n        var result = value($(node), $);\n        // If function returns a string, convert node to that value\n        if (typeof result === 'string') {\n          convertNodeTo$$1($(node), $, result);\n        }\n      });\n    }\n  });\n\n  return $content;\n}\n\nfunction findMatchingSelector($, selectors, extractHtml) {\n  return selectors.find(function (selector) {\n    if (Array.isArray(selector)) {\n      if (extractHtml) {\n        return selector.reduce(function (acc, s) {\n          return acc && $(s).length > 0;\n        }, true);\n      }\n\n      var _selector = _slicedToArray(selector, 2),\n          s = _selector[0],\n          attr = _selector[1];\n\n      return $(s).length === 1 && $(s).attr(attr) && $(s).attr(attr).trim() !== '';\n    }\n\n    return $(selector).length === 1 && $(selector).text().trim() !== '';\n  });\n}\n\nfunction select(opts) {\n  var $ = opts.$,\n      type = opts.type,\n      extractionOpts = opts.extractionOpts,\n      _opts$extractHtml = opts.extractHtml,\n      extractHtml = _opts$extractHtml === undefined ? false : _opts$extractHtml;\n  // Skip if there's not extraction for this type\n\n  if (!extractionOpts) return null;\n\n  // If a string is hardcoded for a type (e.g., Wikipedia\n  // contributors), return the string\n  if (typeof extractionOpts === 'string') return extractionOpts;\n\n  var selectors = extractionOpts.selectors,\n      _extractionOpts$defau = extractionOpts.defaultCleaner,\n      defaultCleaner = _extractionOpts$defau === undefined ? true : _extractionOpts$defau;\n\n\n  var matchingSelector = findMatchingSelector($, selectors, extractHtml);\n\n  if (!matchingSelector) return null;\n\n  // Declaring result; will contain either\n  // text or html, which will be cleaned\n  // by the appropriate cleaner type\n\n  // If the selector type requests html as its return type\n  // transform and clean the element with provided selectors\n  var $content = void 0;\n  if (extractHtml) {\n    // If matching selector is an array, we're considering this a\n    // multi-match selection, which allows the parser to choose several\n    // selectors to include in the result. Note that all selectors in the\n    // array must match in order for this selector to trigger\n    if (Array.isArray(matchingSelector)) {\n      (function () {\n        $content = $(matchingSelector.join(','));\n        var $wrapper = $('<div></div>');\n        $content.each(function (index, element) {\n          $wrapper.append(element);\n        });\n\n        $content = $wrapper;\n      })();\n    } else {\n      $content = $(matchingSelector);\n    }\n\n    // Wrap in div so transformation can take place on root element\n    $content.wrap($('<div></div>'));\n    $content = $content.parent();\n\n    $content = transformElements($content, $, extractionOpts);\n    $content = cleanBySelectors($content, $, extractionOpts);\n\n    $content = Cleaners[type]($content, _extends({}, opts, { defaultCleaner: defaultCleaner }));\n\n    return $.html($content);\n  }\n\n  var result = void 0;\n\n  // if selector is an array (e.g., ['img', 'src']),\n  // extract the attr\n  if (Array.isArray(matchingSelector)) {\n    var _matchingSelector = _slicedToArray(matchingSelector, 2),\n        selector = _matchingSelector[0],\n        attr = _matchingSelector[1];\n\n    result = $(selector).attr(attr).trim();\n  } else {\n    var $node = $(matchingSelector);\n\n    $node = cleanBySelectors($node, $, extractionOpts);\n    $node = transformElements($node, $, extractionOpts);\n\n    result = $node.text().trim();\n  }\n\n  // Allow custom extractor to skip default cleaner\n  // for this type; defaults to true\n  if (defaultCleaner) {\n    return Cleaners[type](result, _extends({}, opts, extractionOpts));\n  }\n\n  return result;\n}\n\nfunction extractResult(opts) {\n  var type = opts.type,\n      extractor = opts.extractor,\n      _opts$fallback = opts.fallback,\n      fallback = _opts$fallback === undefined ? true : _opts$fallback;\n\n\n  var result = select(_extends({}, opts, { extractionOpts: extractor[type] }));\n\n  // If custom parser succeeds, return the result\n  if (result) {\n    return result;\n  }\n\n  // If nothing matches the selector, and fallback is enabled,\n  // run the Generic extraction\n  if (fallback) return GenericExtractor[type](opts);\n\n  return null;\n}\n\nvar RootExtractor = {\n  extract: function extract() {\n    var extractor = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : GenericExtractor;\n    var opts = arguments[1];\n    var _opts = opts,\n        contentOnly = _opts.contentOnly,\n        extractedTitle = _opts.extractedTitle;\n    // This is the generic extractor. Run its extract method\n\n    if (extractor.domain === '*') return extractor.extract(opts);\n\n    opts = _extends({}, opts, {\n      extractor: extractor\n    });\n\n    if (contentOnly) {\n      var _content = extractResult(_extends({}, opts, { type: 'content', extractHtml: true, title: extractedTitle\n      }));\n      return {\n        content: _content\n      };\n    }\n    var title = extractResult(_extends({}, opts, { type: 'title' }));\n    var date_published = extractResult(_extends({}, opts, { type: 'date_published' }));\n    var author = extractResult(_extends({}, opts, { type: 'author' }));\n    var next_page_url = extractResult(_extends({}, opts, { type: 'next_page_url' }));\n    var content = extractResult(_extends({}, opts, { type: 'content', extractHtml: true, title: title\n    }));\n    var lead_image_url = extractResult(_extends({}, opts, { type: 'lead_image_url', content: content }));\n    var excerpt = extractResult(_extends({}, opts, { type: 'excerpt', content: content }));\n    var dek = extractResult(_extends({}, opts, { type: 'dek', content: content, excerpt: excerpt }));\n    var word_count = extractResult(_extends({}, opts, { type: 'word_count', content: content }));\n    var direction = extractResult(_extends({}, opts, { type: 'direction', title: title }));\n\n    var _ref3 = extractResult(_extends({}, opts, { type: 'url_and_domain' })) || { url: null, domain: null },\n        url = _ref3.url,\n        domain = _ref3.domain;\n\n    return {\n      title: title,\n      content: content,\n      author: author,\n      date_published: date_published,\n      lead_image_url: lead_image_url,\n      dek: dek,\n      next_page_url: next_page_url,\n      url: url,\n      domain: domain,\n      excerpt: excerpt,\n      word_count: word_count,\n      direction: direction\n    };\n  }\n};\n\nvar collectAllPages = (function () {\n  var _ref = _asyncToGenerator(_regeneratorRuntime.mark(function _callee(_ref2) {\n    var next_page_url = _ref2.next_page_url,\n        html = _ref2.html,\n        $ = _ref2.$,\n        metaCache = _ref2.metaCache,\n        result = _ref2.result,\n        Extractor = _ref2.Extractor,\n        title = _ref2.title,\n        url = _ref2.url;\n    var pages, previousUrls, extractorOpts, nextPageResult, word_count;\n    return _regeneratorRuntime.wrap(function _callee$(_context) {\n      while (1) {\n        switch (_context.prev = _context.next) {\n          case 0:\n            // At this point, we've fetched just the first page\n            pages = 1;\n            previousUrls = [removeAnchor(url)];\n\n            // If we've gone over 26 pages, something has\n            // likely gone wrong.\n\n          case 2:\n            if (!(next_page_url && pages < 26)) {\n              _context.next = 15;\n              break;\n            }\n\n            pages += 1;\n            _context.next = 6;\n            return Resource.create(next_page_url);\n\n          case 6:\n            $ = _context.sent;\n\n            html = $.html();\n\n            extractorOpts = {\n              url: next_page_url,\n              html: html,\n              $: $,\n              metaCache: metaCache,\n              contentOnly: true,\n              extractedTitle: title,\n              previousUrls: previousUrls\n            };\n            nextPageResult = RootExtractor.extract(Extractor, extractorOpts);\n\n\n            previousUrls.push(next_page_url);\n            result = _extends({}, result, {\n              content: result.content + '<hr><h4>Page ' + pages + '</h4>' + nextPageResult.content\n            });\n\n            next_page_url = nextPageResult.next_page_url;\n            _context.next = 2;\n            break;\n\n          case 15:\n            word_count = GenericExtractor.word_count({ content: '<div>' + result.content + '</div>' });\n            return _context.abrupt('return', _extends({}, result, {\n              total_pages: pages,\n              pages_rendered: pages,\n              word_count: word_count\n            }));\n\n          case 17:\n          case 'end':\n            return _context.stop();\n        }\n      }\n    }, _callee, this);\n  }));\n\n  function collectAllPages(_x) {\n    return _ref.apply(this, arguments);\n  }\n\n  return collectAllPages;\n})();\n\nvar Mercury = {\n  parse: function parse(url, html) {\n    var _this = this;\n\n    var opts = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};\n    return _asyncToGenerator(_regeneratorRuntime.mark(function _callee() {\n      var _opts$fetchAllPages, fetchAllPages, _opts$fallback, fallback, parsedUrl, $, Extractor, metaCache, result, _result, title, next_page_url;\n\n      return _regeneratorRuntime.wrap(function _callee$(_context) {\n        while (1) {\n          switch (_context.prev = _context.next) {\n            case 0:\n              _opts$fetchAllPages = opts.fetchAllPages, fetchAllPages = _opts$fetchAllPages === undefined ? true : _opts$fetchAllPages, _opts$fallback = opts.fallback, fallback = _opts$fallback === undefined ? true : _opts$fallback;\n\n              // if no url was passed and this is the browser version,\n              // set url to window.location.href and load the html\n              // from the current page\n\n              if (!url && cheerio.browser) {\n                url = window.location.href; // eslint-disable-line no-undef\n                html = html || cheerio.html();\n              }\n\n              parsedUrl = URL.parse(url);\n\n              if (validateUrl(parsedUrl)) {\n                _context.next = 5;\n                break;\n              }\n\n              return _context.abrupt('return', Errors.badUrl);\n\n            case 5:\n              _context.next = 7;\n              return Resource.create(url, html, parsedUrl);\n\n            case 7:\n              $ = _context.sent;\n              Extractor = getExtractor(url, parsedUrl, $);\n              // console.log(`Using extractor for ${Extractor.domain}`);\n\n              // If we found an error creating the resource, return that error\n\n              if (!$.failed) {\n                _context.next = 11;\n                break;\n              }\n\n              return _context.abrupt('return', $);\n\n            case 11:\n\n              // if html still has not been set (i.e., url passed to Mercury.parse),\n              // set html from the response of Resource.create\n              if (!html) {\n                html = $.html();\n              }\n\n              // Cached value of every meta name in our document.\n              // Used when extracting title/author/date_published/dek\n              metaCache = $('meta').map(function (_, node) {\n                return $(node).attr('name');\n              }).toArray();\n              result = RootExtractor.extract(Extractor, {\n                url: url,\n                html: html,\n                $: $,\n                metaCache: metaCache,\n                parsedUrl: parsedUrl,\n                fallback: fallback\n              });\n              _result = result, title = _result.title, next_page_url = _result.next_page_url;\n\n              // Fetch more pages if next_page_url found\n\n              if (!(fetchAllPages && next_page_url)) {\n                _context.next = 21;\n                break;\n              }\n\n              _context.next = 18;\n              return collectAllPages({\n                Extractor: Extractor,\n                next_page_url: next_page_url,\n                html: html,\n                $: $,\n                metaCache: metaCache,\n                result: result,\n                title: title,\n                url: url\n              });\n\n            case 18:\n              result = _context.sent;\n              _context.next = 22;\n              break;\n\n            case 21:\n              result = _extends({}, result, {\n                total_pages: 1,\n                rendered_pages: 1\n              });\n\n            case 22:\n              return _context.abrupt('return', result);\n\n            case 23:\n            case 'end':\n              return _context.stop();\n          }\n        }\n      }, _callee, _this);\n    }))();\n  },\n\n\n  browser: !!cheerio.browser,\n\n  // A convenience method for getting a resource\n  // to work with, e.g., for custom extractor generator\n  fetchResource: function fetchResource(url) {\n    var _this2 = this;\n\n    return _asyncToGenerator(_regeneratorRuntime.mark(function _callee2() {\n      return _regeneratorRuntime.wrap(function _callee2$(_context2) {\n        while (1) {\n          switch (_context2.prev = _context2.next) {\n            case 0:\n              _context2.next = 2;\n              return Resource.create(url);\n\n            case 2:\n              return _context2.abrupt('return', _context2.sent);\n\n            case 3:\n            case 'end':\n              return _context2.stop();\n          }\n        }\n      }, _callee2, _this2);\n    }))();\n  }\n};\n\nmodule.exports = Mercury;\n//# sourceMappingURL=mercury.js.map\n","export default function insertValues(strings, ...values) {\n  if (values.length) {\n    return strings.reduce((result, part, idx) => {\n      let value = values[idx];\n\n      if (value && typeof value.toString === 'function') {\n        value = value.toString();\n      } else {\n        value = '';\n      }\n\n      return result + part + value;\n    }, '');\n  }\n\n  return strings.join('');\n}\n","import insertValues from './insert-values';\n\nconst bodyPattern = /^\\n([\\s\\S]+)\\s{2}$/gm;\nconst trailingWhitespace = /\\s+$/;\n\nexport default function template(strings, ...values) {\n  const compiled = insertValues(strings, ...values);\n  let [body] = compiled.match(bodyPattern) || [];\n  let indentLevel = /^\\s{0,4}(.+)$/g;\n\n  if (!body) {\n    body = compiled;\n    indentLevel = /^\\s{0,2}(.+)$/g;\n  }\n\n  return body.split('\\n')\n    .slice(1)\n    .map((line) => {\n      line = line.replace(indentLevel, '$1');\n\n      if (trailingWhitespace.test(line)) {\n        line = line.replace(trailingWhitespace, '');\n      }\n\n      return line;\n    })\n    .join('\\n');\n}\n","import template from './index';\n\nexport default function (hostname, name) {\n  return template`\n    export const ${name} = {\n      domain: '${hostname}',\n\n      title: {\n        selectors: [\n          // enter title selectors\n        ],\n      },\n\n      author: {\n        selectors: [\n          // enter author selectors\n        ],\n      },\n\n      date_published: {\n        selectors: [\n          // enter selectors\n        ],\n      },\n\n      dek: {\n        selectors: [\n          // enter selectors\n        ],\n      },\n\n      lead_image_url: {\n        selectors: [\n          // enter selectors\n        ],\n      },\n\n      content: {\n        selectors: [\n          // enter content selectors\n        ],\n\n        // Is there anything in the content you selected that needs transformed\n        // before it's consumable content? E.g., unusual lazy loaded images\n        transforms: {\n        },\n\n        // Is there anything that is in the result that shouldn't be?\n        // The clean selectors will remove anything that matches from\n        // the result\n        clean: [\n\n        ]\n      },\n    }\n  `;\n}\n","import template from './index';\n\nconst IGNORE = [\n  'url',\n  'domain',\n  'content',\n  'word_count',\n  'next_page_url',\n  'excerpt',\n  'direction',\n  'total_pages',\n  'rendered_pages',\n];\n\nfunction testFor(key, value, dir) {\n  if (IGNORE.find(k => k === key)) return '';\n\n  return template`\n  it('returns the ${key}', async () => {\n            // To pass this test, fill out the ${key} selector\n            // in ${dir}/index.js.\n            const { ${key} } = await result\n\n            // Update these values with the expected values from\n            // the article.\n            assert.equal(${key}, ${value ? `\\`${value}\\`` : \"''\"})\n          });\n    `;\n}\n\nexport default function (file, url, dir, result, name) {\n  return template`\n    import assert from 'assert';\n    import fs from 'fs';\n    import URL from 'url';\n    import cheerio from 'cheerio';\n\n    import Mercury from 'mercury';\n    import getExtractor from 'extractors/get-extractor';\n    import { excerptContent } from 'utils/text';\n\n    describe('${name}', () => {\n      describe('initial test case', () => {\n        let result;\n        let url;\n        beforeAll(() => {\n          url =\n            '${url}';\n          const html =\n            fs.readFileSync('${file}');\n          result =\n            Mercury.parse(url, html, { fallback: false });\n        });\n\n        it('is selected properly', () => {\n          // This test should be passing by default.\n          // It sanity checks that the correct parser\n          // is being selected for URLs from this domain\n          const extractor = getExtractor(url);\n          assert.equal(extractor.domain, URL.parse(url).hostname)\n        })\n\n          ${Reflect.ownKeys(result).map(k => testFor(k, result[k], dir)).join('\\n\\n')}\n\n        it('returns the content', async () => {\n          // To pass this test, fill out the content selector\n          // in ${dir}/index.js.\n          // You may also want to make use of the clean and transform\n          // options.\n          const { content } = await result;\n\n          const $ = cheerio.load(content || '');\n\n          const first13 = excerptContent($('*').first().text(), 13)\n\n          // Update these values with the expected values from\n          // the article.\n          assert.equal(first13, 'Add the first 13 words of the article here');\n        });\n      });\n    });\n  `;\n}\n","/* eslint-disable import/no-extraneous-dependencies */\n/* eslint-disable no-use-before-define */\n/* eslint-disable no-console */\nimport fs from 'fs';\nimport URL from 'url';\nimport inquirer from 'inquirer';\nimport ora from 'ora';\nimport { exec } from 'child_process';\n\nimport {\n  stripJunkTags,\n  makeLinksAbsolute,\n} from 'utils/dom';\nimport Mercury from '../dist/mercury';\nimport extractorTemplate from './templates/custom-extractor';\nimport extractorTestTemplate from './templates/custom-extractor-test';\n\nconst questions = [\n  {\n    type: 'input',\n    name: 'website',\n    message: 'Paste a url to an article you\\'d like to create or extend a parser for:',\n    validate(value) {\n      const { hostname } = URL.parse(value);\n      if (hostname) return true;\n\n      return false;\n    },\n  },\n];\nlet spinner;\n\nfunction confirm(fn, args, msg, newParser) {\n  spinner = ora({ text: msg });\n  spinner.start();\n  const result = fn(...args);\n\n  if (result && result.then) {\n    result.then(r => savePage(r, args, newParser));\n  } else {\n    spinner.succeed();\n  }\n\n  return result;\n}\n\nfunction confirmCreateDir(dir, msg) {\n  if (!fs.existsSync(dir)) {\n    confirm(fs.mkdirSync, [dir], msg);\n  }\n}\n\nfunction getDir(url) {\n  const { hostname } = URL.parse(url);\n  return `./src/extractors/custom/${hostname}`;\n}\n\nfunction scaffoldCustomParser(url) {\n  const dir = getDir(url);\n  const { hostname } = URL.parse(url);\n  let newParser = false;\n\n  if (!fs.existsSync(dir)) {\n    newParser = true;\n    confirmCreateDir(dir, `Creating ${hostname} directory`);\n    confirmCreateDir(`./fixtures/${hostname}`, 'Creating fixtures directory');\n  }\n\n  confirm(Mercury.fetchResource, [url], 'Fetching fixture', newParser);\n}\n\n// if has arg, just assume that arg is a url and skip prmopt\nconst urlArg = process.argv[2];\nif (urlArg) {\n  scaffoldCustomParser(urlArg);\n} else {\n  inquirer.prompt(questions).then((answers) => {\n    scaffoldCustomParser(answers.website);\n  });\n}\n\nfunction generateScaffold(url, file, result) {\n  const { hostname } = URL.parse(url);\n  const extractor = extractorTemplate(hostname, extractorName(hostname));\n  const extractorTest =\n    extractorTestTemplate(\n      file, url, getDir(url), result, extractorName(hostname)\n    );\n\n  fs.writeFileSync(`${getDir(url)}/index.js`, extractor);\n  fs.writeFileSync(`${getDir(url)}/index.test.js`, extractorTest);\n  fs.appendFileSync(\n    './src/extractors/custom/index.js',\n    exportString(url),\n  );\n  exec(`npm run lint-fix-quiet -- ${getDir(url)}/*.js`);\n}\n\nfunction savePage($, [url], newParser) {\n  const { hostname } = URL.parse(url);\n\n  spinner.succeed();\n\n  const filename = new Date().getTime();\n  const file = `./fixtures/${hostname}/${filename}.html`;\n  // fix http(s) relative links:\n  makeLinksAbsolute($('*').first(), $, url);\n  $('[src], [href]').each((index, node) => {\n    const $node = $(node);\n    const link = $node.attr('src');\n    if (link && link.slice(0, 2) === '//') {\n      $node.attr('src', `http:${link}`);\n    }\n  });\n  const html = stripJunkTags($('*').first(), $, ['script']).html();\n\n  fs.writeFileSync(file, html);\n\n  Mercury.parse(url, html).then((result) => {\n    if (newParser) {\n      confirm(generateScaffold, [url, file, result], 'Generating parser and tests');\n      console.log(`Your custom site extractor has been set up. To get started building it, run\n      yarn watch:test -- ${hostname}\n        -- OR --\n      npm run watch:test -- ${hostname}`);\n    } else {\n      console.log(`\n  It looks like you already have a custom parser for this url.\n  The page you linked to has been added to ${file}. Copy and paste\n  the following code to use that page in your tests:\n  const html = fs.readFileSync('${file}');`);\n    }\n  });\n}\n\nfunction exportString(url) {\n  const { hostname } = URL.parse(url);\n  return `export * from './${hostname}';`;\n}\n\nfunction extractorName(hostname) {\n  const name = hostname\n    .split('.')\n    .map(w => `${w.charAt(0).toUpperCase()}${w.slice(1)}`)\n    .join('');\n  return 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