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Apache-2.0 54 5 63,373
1.5 million (month) May 01 2024 0.8.6(2026-03-24 15:07:50 ago)
16,499 6 18 MIT
Nov 07 2022 v1.5.0(2026-03-10 14:52:47 ago)

Crawl4AI is an open-source AI-powered web crawling and data extraction library for Python. It uses large language models (LLMs) to intelligently extract structured data from web pages with minimal code. Unlike traditional scraping frameworks that rely on CSS selectors or XPath, Crawl4AI can understand page content semantically and extract data based on natural language descriptions of what you want.

Key features include:

  • LLM-based extraction Define what data you want in plain English and Crawl4AI uses LLMs to find and extract it from the page content. Supports multiple LLM providers including OpenAI, Anthropic, and local models.
  • Automatic crawling Built-in crawler with support for JavaScript rendering, parallel crawling, and session management.
  • Structured output Returns data in structured formats (JSON, Pydantic models) making it easy to integrate into data pipelines.
  • Markdown conversion Can convert web pages to clean markdown format, useful for feeding content to LLMs.
  • Chunking strategies Multiple strategies for breaking down large pages into processable chunks for LLM extraction.
  • Async support Built on async Python for efficient concurrent crawling and extraction.

Crawl4AI is particularly useful for scraping unstructured content where writing traditional CSS/XPath selectors would be tedious or fragile. It excels at content extraction, article parsing, and data mining from diverse page layouts.

Katana is a next-generation web crawling and spidering framework written in Go by ProjectDiscovery. It is designed for fast, comprehensive endpoint and asset discovery and is widely used in the security research and bug bounty communities.

Katana offers multiple crawling modes:

  • Standard mode Fast HTTP-based crawling without a browser. Parses HTML, JavaScript files, and other resources to discover endpoints and links.
  • Headless mode Uses a headless Chrome browser for crawling JavaScript-rendered pages and single-page applications (SPAs).
  • Passive mode Discovers URLs from external sources (Wayback Machine, CommonCrawl, etc.) without actively visiting the target.

Key features include:

  • Scope control Configurable crawl scope with regex patterns for including/excluding URLs, domains, and file extensions.
  • JavaScript parsing Extracts endpoints from JavaScript files, inline scripts, and AJAX requests even in standard (non-headless) mode.
  • Customizable output Filter and format output with field selection, JSON output, and custom templates.
  • Rate limiting Built-in rate limiting and concurrency control to avoid overwhelming targets.
  • Proxy support HTTP and SOCKS5 proxy support with rotation.
  • Form filling Can detect and auto-fill forms to discover endpoints behind form submissions.

While Katana was designed for security research and reconnaissance, its fast crawling capabilities and JavaScript parsing make it equally useful for web scraping discovery and sitemap generation.

Highlights


ai-poweredasyncpopular
fastpopularlarge-scale

Example Use


```python from crawl4ai import AsyncWebCrawler, CrawlerRunConfig from crawl4ai.extraction_strategy import LLMExtractionStrategy import asyncio async def main(): # Basic crawling - get page as markdown async with AsyncWebCrawler() as crawler: result = await crawler.arun(url="https://example.com") print(result.markdown) # clean markdown content # AI-powered extraction with structured output strategy = LLMExtractionStrategy( instruction="Extract all product names and prices from this page", ) config = CrawlerRunConfig(extraction_strategy=strategy) async with AsyncWebCrawler() as crawler: result = await crawler.arun( url="https://example.com/products", config=config, ) print(result.extracted_content) # structured JSON output asyncio.run(main()) ```
```go package main import ( "context" "math" "github.com/projectdiscovery/katana/pkg/engine/standard" "github.com/projectdiscovery/katana/pkg/output" "github.com/projectdiscovery/katana/pkg/types" ) func main() { // Configure crawl options options := &types.Options{ MaxDepth: 3, FieldScope: "rdn", // restrict to root domain BodyReadSize: math.MaxInt, Timeout: 10, Concurrency: 10, Parallelism: 10, Delay: 0, RateLimit: 150, Strategy: "depth-first", OnResult: func(result output.Result) { // Process each discovered URL println(result.Request.URL) }, } // Create and run the crawler crawlerOptions, _ := types.NewCrawlerOptions(options) defer crawlerOptions.Close() crawler, _ := standard.New(crawlerOptions) defer crawler.Close() // Start crawling _ = crawler.Crawl("https://example.com") } ```

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