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Turn a documentation page into clean Markdown for an LLM

Fetches a documentation page and returns only its main content as Markdown — headings, lists, tables and code kept, navigation and footers left out — with the title, language and word count. Use it to give an LLM the exact docs it needs, or to build a RAG index from public docs. Pay per page.

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URL to Markdown — clean page text for agents, obeys robots.txt
URL to Markdown — clean page text for agents, obeys robots.txthermeskd/url-to-markdown
URL
OK
HTTP status
Title
+6 fields
Text
Number
Boolean
List
Object

Input

Page URLs(required):https://docs.apify.com/platform/actors/publishing/monetize/pricing-and-costs

Output fields

URL
OK
HTTP status
Title
Language
Word count
Rendered
Content format
Markdown
Error

How it works

Sign up on Apify or log in

The URL to Markdown — clean page text for agents, obeys robots.txt Actor is ready to run with the inputs already set for "Turn a documentation page into clean Markdown for an LLM". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn a documentation page into clean Markdown for an LLM" task

The URL to Markdown — clean page text for agents, obeys robots.txt Actor will start running based on the input automatically. You can also change all the input fields, like page urls, to match your specific use case.

Receive the "Turn a documentation page into clean Markdown for an LLM" 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, OK, HTTP status, 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 "Turn a documentation page into clean Markdown for an LLM" task via API.

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Integrate "Turn a documentation page into clean Markdown for an LLM" into your workflow

Connect "Turn a documentation page into clean Markdown for an LLM" with 100+ integrations, or run it via API or MCP.

Webhook

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