QUICK TIPS
1
Use the `CrawlerRunConfig` to fine-tune timeouts and proxy settings for difficult sites
2
Leverage the `MarkdownGenerationStrategy` to get clean, noise-free text for your LLM
3
Run multiple crawlers in parallel using Python's `asyncio` for massive data collection
4
Combine with Ollama or Local Llama to build a fully private, offline research agent
5
Check the GitHub discussions for community-contributed 'recipes' for popular websites
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FREQUENTLY ASKED QUESTIONS
Q
Is Crawl4AI free?
A
Yes, Crawl4AI is completely free to use with no paid tiers or limitations.
Q
What can I do with Crawl4AI?
A
Crawl4AI is designed for High-performance local web crawling for AI training, Semantic data extraction from complex JS-heavy sites, Building cost-effective RAG pipelines with open-source tools. Crawl4AI is an open-source, high-performance web crawling and scraping engine specifically optimized for large language models. Key strengths include Async Performance: Built for high-speed, concurrent crawling and Semantic Markdown: Intelligent extraction of core page content.
Q
How do I get started with Crawl4AI?
A
Install Crawl4AI via pip: `pip install crawl4ai`. Use the asynchronous `WebCrawler` class to start scraping. For complex sites, enable the Playwright backend and use the `arun` method to handle JavaScript rendering. Check the official documentation f...
Q
Is Crawl4AI open source?
A
Yes, Crawl4AI is open source. You can access the source code on GitHub at https://github.com/unclecode/crawl4ai, contribute to development, and deploy it on your own infrastructure.