Convert documentation pages to Markdown for RAG

Created by

Tenfold Fleet

Actor

URL to Markdown - Web Page to LLM-Ready Text for AI Agents

Turn developer documentation pages (Python, React, MDN, GitHub Docs, FastAPI) into clean Markdown with headings, code blocks and tables intact, ready for chunking and embedding in a RAG vector database or as context for Cursor and Claude Code. Returns one item per page with markdown, title, word count and links. Swap in the docs URLs of any library you use.

Try for free

URL to Markdown - Web Page to LLM-Ready Text for AI Agentstenfoldfleet/url-to-markdown

URL

Title

Words

Markdown

+2 fields

Input

URLs(required):https://docs.python.org/3/tutorial/classes.html+4

Main content only:true

Output fields

URL

Title

Words

Markdown

HTTP

Error

How it works

Sign up on Apify or log in

The URL to Markdown - Web Page to LLM-Ready Text for AI Agents Actor is ready to run with the inputs already set for "Convert documentation pages to Markdown for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert documentation pages to Markdown for RAG" task

The URL to Markdown - Web Page to LLM-Ready Text for AI Agents Actor will start running based on the input automatically. You can also change all the input fields, like URLs and main content only, to match your specific use case.

Receive the "Convert documentation pages to Markdown for RAG" 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 "Convert documentation pages to Markdown for RAG" task via API.