> ## Documentation Index
> Fetch the complete documentation index at: https://docs.webrayn.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# webrain vs Crawl4AI

> Honest comparison of webrain and Crawl4AI — a Rust MCP scraping server vs an open-source Python async crawler built for LLM-friendly output.

# webrain vs Crawl4AI

**Crawl4AI** is an open-source **Python** async crawler designed for
LLM-friendly output (markdown + LLM extraction), built on Playwright.
**webrain** is an open-source **Rust MCP server** — the same LLM-friendly goal,
delivered as a protocol any client can use.

| Dimension       | webrain                                      | Crawl4AI                                |
| --------------- | -------------------------------------------- | --------------------------------------- |
| Form factor     | Single Rust binary, MCP server + CLI         | Python library (`pip install crawl4ai`) |
| LLM integration | Any MCP client                               | In-process, LLM extraction calls        |
| Engines         | Chrome, Lightpanda, Obscura, no-browser HTTP | Playwright (Chromium)                   |
| Sessions/auth   | Vault + TOTP, cookie transfer                | Sessions supported                      |
| Video/PDF       | `watch`, PDF extract/render                  | —                                       |

**Pick Crawl4AI** when you're already writing **Python** and want an async
crawler library with in-process LLM extraction.

**Pick webrain** when you want **MCP-native** tools callable from any LLM
client or language, with multiple engines and a single static binary.

## Related

* [Overview](/overview) · [Tools](/reference/tools)
* [webrain vs Playwright](/comparisons/playwright) · [webrain vs Firecrawl](/comparisons/firecrawl)