Crawl4AI
Crawl4AI is an open-source Python crawler with asynchronous crawling, Markdown output and structured extraction for LLM and data workflows.
Crawl4AI is an open-source Python web crawler for large language models, AI agents, and data pipelines. It provides asynchronous crawling and extraction for AI data pipelines.
Key Features:
- AI-Ready Output - Extract clean, structured data optimized for LLM consumption
- Async Architecture - Asynchronous crawling with concurrency controls
- Adaptive Crawling - Intelligent algorithms that know when sufficient data has been gathered
- Multiple Extraction Modes - CSS selectors, LLM-based extraction, and schema generation
- AI Assistant Integration - Comprehensive skill packages for Claude, Cursor, and other AI coding tools
Whether you're training AI models, building RAG systems, or extracting web data at scale, Crawl4AI provides a path to LLM-ready content.
Quick verdict
This profile covers Crawl4AI's open-source Python library for crawling and LLM-ready content. You operate its browsers and infrastructure yourself. The vendor also offers Crawl4AI Cloud as a separate hosted service; check its documentation if you need managed operations.
- Best for
- Python AI crawling workflows
- LLM-ready markdown extraction
- Open-source crawler evaluation
- Browser-aware scraping prototypes
- Not ideal for
- Managed scraping operations
- Visual no-code workflows
- Enterprise support procurement
- Last verified
- Oct 14, 2026
Key facts
- SDKsPython package availablePyPI
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Our productSource code
unclecode/crawl4ai
Stars
85.6KForks
8.9KLast commit
2026-10-15License
Apache-2.0Language
Python
Metrics recorded 2026-10-16
Repository details
License source: Repository license file
Frequently asked questions
What is Crawl4AI used for?
Crawl4AI crawls web pages and turns their content into Markdown or structured data for AI and data-processing workflows. It supports selector-based extraction and optional LLM-based extraction, so using it does not require every extraction step to involve an AI model.
Sources (checked ): Crawl4AI overview; LLM-free extraction
Is Crawl4AI a Python library?
Yes. The open-source library provides a Python API including AsyncWebCrawler. Install the library and its required browser dependencies before running a local crawl. Crawl4AI Cloud is a separate hosted way to use the engine.
Sources (checked ): Crawl4AI installation and Python example; Current Crawl4AI README: Cloud is live
Is Crawl4AI free to use?
The open-source Crawl4AI library is available under the Apache 2.0 license without a library subscription fee. Local infrastructure, proxies and optional model-provider usage can cost money. Crawl4AI Cloud is a separate hosted service with its own pricing and introductory credits.
Sources (checked ): Crawl4AI license; Library and Cloud distinction; LLM provider configuration; Current Crawl4AI README: Cloud is live
What are the limitations of Crawl4AI?
A local Crawl4AI deployment needs a compatible Python environment and browser dependencies. Selector-based extraction requires CSS or XPath rules that match the page; LLM-based extraction needs a configured model and may incur provider costs. Choose and validate the extraction strategy for the pages you process.
Sources (checked ): Local requirements; Selector-based extraction; LLM extraction
Similar to Crawl4AI
Sources
Verified against the unclecode/crawl4ai repository and the PyPI package.
Source notes
This profile covers the open-source Python library. Official Crawl4AI documentation also documents the separate hosted Cloud service.