From e4418d1b7e8e05d51e8fa175c5b58fe003db9370 Mon Sep 17 00:00:00 2001 From: Hai The Dude Date: Fri, 11 Aug 2023 14:46:59 -0400 Subject: [PATCH] Added new use case docs for Web Scraping, Chromium loader, BS4 transformer (#8732) - Description: Added a new use case category called "Web Scraping", and a tutorial to scrape websites using OpenAI Functions Extraction chain to the docs. - Tag maintainer:@baskaryan @hwchase17 , - Twitter handle: https://www.linkedin.com/in/haiphunghiem/ (I'm on LinkedIn mostly) --------- Co-authored-by: Lance Martin --- .../docs/use_cases/web_scraping/index.mdx | 9 + .../docs_skeleton/static/img/web_research.png | Bin 0 -> 156008 bytes .../docs_skeleton/static/img/web_scraping.png | Bin 0 -> 176461 bytes docs/docs_skeleton/static/img/wsj_page.png | Bin 0 -> 733379 bytes .../document_loaders/async_chromium.ipynb | 101 +++ .../beautiful_soup.ipynb | 95 +++ docs/extras/use_cases/web_scraping.ipynb | 599 ++++++++++++++++++ .../langchain/document_loaders/__init__.py | 4 + .../langchain/document_loaders/chromium.py | 90 +++ .../document_transformers/__init__.py | 4 + .../beautiful_soup_transformer.py | 143 +++++ 11 files changed, 1045 insertions(+) create mode 100644 docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx create mode 100644 docs/docs_skeleton/static/img/web_research.png create mode 100644 docs/docs_skeleton/static/img/web_scraping.png create mode 100644 docs/docs_skeleton/static/img/wsj_page.png create mode 100644 docs/extras/integrations/document_loaders/async_chromium.ipynb create mode 100644 docs/extras/integrations/document_transformers/beautiful_soup.ipynb create mode 100644 docs/extras/use_cases/web_scraping.ipynb create mode 100644 libs/langchain/langchain/document_loaders/chromium.py create mode 100644 libs/langchain/langchain/document_transformers/beautiful_soup_transformer.py diff --git a/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx new file mode 100644 index 0000000000..c62c8e6821 --- /dev/null +++ b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx @@ -0,0 +1,9 @@ +--- +sidebar_position: 3 +--- + +# Web Scraping + +Web scraping has historically been a challenging endeavor due to the ever-changing nature of website structures, making it tedious for developers to maintain their scraping scripts. Traditional methods often rely on specific HTML tags and patterns which, when altered, can disrupt data extraction processes. + +Enter the LLM-based method for parsing HTML: By leveraging the capabilities of LLMs, and especially OpenAI Functions in LangChain's extraction chain, developers can instruct the model to extract only the desired data in a specified format. This method not only streamlines the extraction process but also significantly reduces the time spent on manual debugging and script modifications. Its adaptability means that even if websites undergo significant design changes, the extraction remains consistent and robust. This level of resilience translates to reduced maintenance efforts, cost savings, and ensures a higher quality of extracted data. 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