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Crawl a Documentation Site to Markdown for RAG & LLMs

Turn a public documentation site into clean Markdown and plain text for a RAG pipeline, AI chatbot or LLM knowledge base, scoped to one docs section with URL include patterns (here the official Python Tutorial). Each row is one page with its URL, title, meta description, language, crawl depth, HTTP status, clean text and a Markdown version with headings, lists, links and code blocks.

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๐ŸŒ Website Content Crawler
๐ŸŒ Website Content Crawlerdata_minds/website-content-crawler
๐Ÿ”— URL
๐Ÿ“ƒ Text
๐Ÿ“ Markdown
Text
Number
Boolean
List
Object

Input

๐ŸŒฑ Start URLs(required):https://docs.python.org/3/tutorial/index.html
โœ… Only crawl URLs matchingโ€ฆ:/3/tutorial/**
๐Ÿ“‚ Max crawl depth:1
๐Ÿ“ฌ Max rows in your dataset:10
๐Ÿ“ Include Markdown in each row:true
๐Ÿ“„ Include cleaned HTML in each row:false

Output fields

๐Ÿ”— URL
๐Ÿ“ƒ Text
๐Ÿ“ Markdown

How it works

Sign up on Apify or log in

The ๐ŸŒ Website Content Crawler Actor is ready to run with the inputs already set for "Crawl a Documentation Site to Markdown for RAG & LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Crawl a Documentation Site to Markdown for RAG & LLMs" task

The ๐ŸŒ Website Content Crawler Actor will start running based on the input automatically. You can also change all the input fields, like ๐ŸŒฑ start urls, โœ… only crawl urls matchingโ€ฆ, and more, to match your specific use case.

Receive the "Crawl a Documentation Site to Markdown for RAG & LLMs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ๐Ÿ”— url, ๐Ÿ“ƒ text, and ๐Ÿ“ markdown.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Crawl a Documentation Site to Markdown for RAG & LLMs" task via API.

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