langchain/docs/modules/indexes/document_loaders/examples/html.ipynb
Leonid Ganeline 59204a5033
docs: document_loaders improvements (#4200)
- made notebooks consistent: titles, service/format descriptions.
- corrected short names to full names, for example, `Word` -> `Microsoft
Word`
- added missed descriptions
- renamed notebook files to make ToC correctly sorted
2023-05-05 17:44:54 -07:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "2dfc4698",
"metadata": {},
"source": [
"# HTML\n",
"\n",
">[The HyperText Markup Language or HTML](https://en.wikipedia.org/wiki/HTML) is the standard markup language for documents designed to be displayed in a web browser.\n",
"\n",
"This covers how to load `HTML` documents into a document format that we can use downstream."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "24b434b5",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import UnstructuredHTMLLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "00f46fda",
"metadata": {},
"outputs": [],
"source": [
"loader = UnstructuredHTMLLoader(\"example_data/fake-content.html\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b68a26b3",
"metadata": {},
"outputs": [],
"source": [
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "34de48fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='My First Heading\\n\\nMy first paragraph.', lookup_str='', metadata={'source': 'example_data/fake-content.html'}, lookup_index=0)]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
},
{
"cell_type": "markdown",
"id": "00337aae",
"metadata": {},
"source": [
"## Loading HTML with BeautifulSoup4\n",
"\n",
"We can also use `BeautifulSoup4` to load HTML documents using the `BSHTMLLoader`. This will extract the text from the HTML into `page_content`, and the page title as `title` into `metadata`."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "79b1bce4",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.document_loaders import BSHTMLLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4be99e6c",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='\\n\\nTest Title\\n\\n\\nMy First Heading\\nMy first paragraph.\\n\\n\\n', metadata={'source': 'example_data/fake-content.html', 'title': 'Test Title'})]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loader = BSHTMLLoader(\"example_data/fake-content.html\")\n",
"data = loader.load()\n",
"data"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}