Build a RAG knowledge base from MDN web docs

Created by

Rod Services

Actor

Website Content Crawler to Markdown for RAG & LLMs

Crawls a section of the MDN Web Docs and returns clean Markdown with RAG chunks of about 400 tokens. A ready example of turning a large reference site into embeddings input for a coding assistant.

Try for free

Website Content Crawler to Markdown for RAG & LLMsrod_analytics/website-to-markdown

URL

Title

Chunks

Input

Start URLs

url:https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides

Max pages:30

Split into RAG chunks:true

Chunk size (tokens):400

Output fields

URL

Title

Chunks

How it works

Sign up on Apify or log in

The Website Content Crawler to Markdown for RAG & LLMs Actor is ready to run with the inputs already set for "Build a RAG knowledge base from MDN web docs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a RAG knowledge base from MDN web docs" 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 "Build a RAG knowledge base from MDN web docs" 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, and chunks.

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 "Build a RAG knowledge base from MDN web docs" task via API.