crawl4ai
Turn websites into clean Markdown and extract structured data for LLMs.
Extract clean Markdown, structured JSON, and feed web data straight to your AI agents.
Crawl4AI is an open-source web crawler and scraper designed specifically to transform websites into clean, LLM-ready Markdown or structured JSON. It suits compliance and audit professionals who need to ingest external regulatory portals, policy updates, or web data directly into local or cloud-based AI pipelines.
What it is
The tool runs asynchronous browser pools, handles dynamic JavaScript rendering, and supports content filtering strategies like BM25 and LXML to strip out boilerplate website text. It provides CSS, XPath, and LLM-driven extraction schemas to turn messy web pages into typed data fields for auditing or research.
Who it's for
It suits Python developers and compliance engineers building automated monitoring workflows or RAG pipelines over web sources. It does not suit non-technical compliance officers looking for a point-and-click desktop app without writing code.
Key features
Clean Markdown Generation
Converts web pages into structured Markdown with citations and boilerplate removal.
Structured Data Extraction
Extracts typed JSON using CSS, XPath schemas, or integrated LLM extraction.
Stealth and Session Control
Maintains persistent browser profiles, cookies, proxies, and stealth modes.
Deep Crawling Strategies
Executes BFS, DFS, and adaptive crawling with dynamic JS execution and caching.
Up and running in 3 steps
Our honest verdict
What's great
- Outputs smart Markdown complete with heading hierarchies, tables, and citation hints.
- Includes adaptive crawling that stops when enough data is gathered to answer a query.
- Supports multiple extraction strategies including CSS, XPath, regex, and LLM-based schemas.
- Provides both a self-hosted Python library/Docker server and an optional managed cloud API.
Where it falls short
- Running it yourself requires installing Python, browser dependencies, and managing scraping blockers.
- Self-hosting the Docker server requires maintaining infrastructure and handling API token security.
- Cloud features like web search and managed extraction require purchasing credits or paid plans.
Pricing & license
The Python library and self-hosted Docker server are free under the Apache-2.0 license. Crawl4AI Cloud offers 1,000 free monthly credits with paid tiers starting from $10 a month.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
Use it, or have us set it up
FAQ
Can Crawl4AI handle JavaScript-heavy websites?
Yes, it executes JavaScript, waits for elements to load, and can scan full pages for infinite scrolls or lazy-loaded images.
Do I need my own LLM API keys for data extraction?
You can use CSS, XPath, or regex extraction strategies without an LLM key, or use LLM extraction strategies with your own provider.
What is the difference between running it locally and using Crawl4AI Cloud?
Running it locally executes browsers on your own machine or server for free, while the cloud API handles browsers, proxies, and bot walls for you via paid credits.
