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Generate llms.txt for a documentation website

Crawls a website and writes an llms.txt index and an llms-full.txt file with all page Markdown to the key-value store. Give AI assistants a clean map of your docs. The example crawls the Python tutorial.

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Website Content Crawler to Markdown for RAG & LLMs
Website Content Crawler to Markdown for RAG & LLMsrod_analytics/website-to-markdown
URL
Title
Words
Chunks
+8 fields
Text
Number
Boolean
List
Object

Input

Start URLs
url:https://docs.python.org/3/tutorial/
Max pages:30
Save llms.txt per domain:true

Output fields

URL
Title
Words
Chunks
Links
Depth
Status
Fetched with
Language
Crawled at
Warning
Error

How it works

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The Website Content Crawler to Markdown for RAG & LLMs Actor is ready to run with the inputs already set for "Generate llms.txt for a documentation website". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Generate llms.txt for a documentation website" task

The Website Content Crawler to Markdown for RAG & LLMs Actor will start running based on the input automatically. You can also change all the input fields, like start urls, max pages, and more, to match your specific use case.

Receive the "Generate llms.txt for a documentation website" 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 URL, title, words, and more.

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 "Generate llms.txt for a documentation website" task via API.

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