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How to use Crawl4AI: what you can do with it

Crawl4AI is an open-source web crawler and scraper that turns websites into clean, LLM-ready Markdown for RAG, agents and data pipelines, self-hosted or via a hosted API and MCP server.

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3 use cases

Quick start with Crawl4AI

  1. Check you have what it needs: Python with pip; Playwright Chromium (installed by crawl4ai-setup).
  2. Open unclecode/crawl4ai on GitHub and read the README and license.
  3. Install with pip install -U crawl4ai
  4. Run crawl4ai-setup and check with crawl4ai-doctor
  5. Use AsyncWebCrawler and crawler.arun(url=...)
  6. Save result.markdown

These steps come from our top use case, Turn any web page into clean Markdown for RAG, which also has a copy-paste agent prompt.

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Using the Deduped MCP, get the setup steps for unclecode/crawl4ai

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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Crawl4AI alternatives · Best AI repos for Data and analytics

About this repo

Requirements

  • Python with pip
  • Playwright Chromium (installed by crawl4ai-setup)

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Markdown

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Questions about Crawl4AI

What is Crawl4AI?

Crawl4AI is an open-source web crawler and scraper that turns websites into clean, LLM-ready Markdown for RAG, agents and data pipelines, self-hosted or via a hosted API and MCP server. It is an open-source project on GitHub: https://github.com/unclecode/crawl4ai.

Who is Crawl4AI for?

Developers building RAG pipelines, agents or datasets from web content.

What can I do with Crawl4AI?

3 use cases so far, for example: Turn any web page into clean Markdown for RAG; Give Claude Code a web scraping tool over MCP; Scrape a page with one curl call. Each has steps and a copy-paste agent prompt.

What do I need to run Crawl4AI?

Python with pip; Playwright Chromium (installed by crawl4ai-setup).

What are alternatives to Crawl4AI?

Other hot AI repos in Data and analytics: DSH Usage, Schemagate, Asobeast, Coreclaw API Directory, Open Index.

Is Crawl4AI safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.