Python tutorial docs to Markdown for RAG
Ryu Moon
Crawls the official Python tutorial (up to 30 pages, links removed) into one Markdown item per page, ready to chunk and embed.
Input
Output fields
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The Website to Markdown Crawler for LLM & RAG Actor is ready to run with the inputs already set for "Python tutorial docs to Markdown for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Website to Markdown Crawler for LLM & RAG Actor will start running based on the input automatically. You can also change all the input fields, like URLs, keep links in markdown, and more, to match your specific use case.
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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 URL, title, HTTP, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Python tutorial docs to Markdown for RAG" task via API.
