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App Name

App description goes here

★★★★★ Rating
0 Downloads
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Pricing: Free

Quick Start

Get started with this integration in just a few steps.

Installation

bash
pip install crawl4ai

Basic Usage

python
from crawl4ai import AsyncWebCrawler

async def main():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://example.com",
            # Your configuration here
        )
        print(result.markdown)

if __name__ == "__main__":
    import asyncio
    asyncio.run(main())

Advanced Configuration

Customize the crawler with these advanced options:

🚀 Performance

Optimize crawling speed with parallel processing and caching strategies.

🔒 Authentication

Handle login forms, cookies, and session management automatically.

🎯 Extraction

Use CSS selectors, XPath, or AI-powered content extraction.

🔄 Proxy Support

Rotate proxies and bypass rate limiting with built-in proxy management.

Integration Example

python
from crawl4ai import AsyncWebCrawler
from crawl4ai.extraction_strategy import LLMExtractionStrategy

async def extract_with_llm():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://example.com",
            extraction_strategy=LLMExtractionStrategy(
                provider="openai",
                api_key="your-api-key",
                instruction="Extract product information"
            ),
            bypass_cache=True
        )
        return result.extracted_content

# Run the extraction
data = await extract_with_llm()
print(data)

💡 Pro Tip

Use the bypass_cache=True parameter when you need fresh data, or set cache_mode="write" to update the cache with new content.

Documentation

Complete documentation and API reference.

Examples

Real-world examples and use cases.

Support

📧 Contact

contact@example.com

🐛 Report Issues

Found a bug? Report it on GitHub Issues.

💬 Community

Join our Discord for help and discussions.