head to head · open source
Crawl4AI vs wreq
Crawl4AI has 83,782 GitHub stars, 8,664 forks, 188 open issues and last shipped 2 days ago. wreq has 1,025 stars, 124 forks, 23 open issues and last shipped yesterday. Crawl4AI leads on adoption by 8,074% (83,782 vs 1,025 stars). Crawl4AI is written in Python under Apache-2.0; wreq is written in Rust under Apache-2.0. Crawl4AI has attracted 10% as many forks as stars, wreq 12%. wreq was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Crawl4AI | wreq | |
|---|---|---|
| GitHub stars | ★ 84K | ★ 1.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-16 | 2026-09-17 |
| Forks | ⑂ 8.7K | ⑂ 124 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Crawl4AI if
- You weight community size — 84K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick wreq if
- You want the wreq feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Rust
- You evaluated both and wreq fits your workflow better
About Crawl4AI
Crawl4AI is an open source web crawler and scraper designed to prepare website content for large language model (LLM) workflows. It lives in the Python ecosystem and targets data extraction for RAG, agents, and AI pipelines. Unlike many tools that require API keys or paid subscriptions, Crawl4AI provides direct, self hosted access to web content with output structured specifically for LLM consumption.
read the full Crawl4AI overview →
About wreq
wreq [![Discord chat][discord badge]][discord url] [discord badge]: [discord url]: 🚀 Help me work seamlessly with open source sharing by sponsoring me on GitHub An ergonomic and modular Rust HTTP Client for high fidelity protocol matching, featuring customizable TLS, JA3/JA4, and HTTP/2 signature capabilities. Features Plain bodies, JSON, urlencoded, multipart HTTP Trailer Cookie Store Redirect Policy Original Header Rotating Proxies Tower Middleware WebSocket Upgrade HTTPS via BoringSSL HTTP/2 over TLS Parity Certificate Store (CAs & mTLS) Multiple Runtime (Tokio, Compio) Example The following example uses the …
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Frequently asked questions
Is Crawl4AI or wreq more popular?
Crawl4AI has 83,782 GitHub stars and wreq has 1,025. Crawl4AI has the larger community by that measure.
Are Crawl4AI and wreq free?
Both are open source. Crawl4AI is licensed under Apache-2.0 and wreq under Apache-2.0. Neither carries a licence fee.
What is the difference between Crawl4AI and wreq?
Crawl4AI is written in Python and wreq in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Crawl4AI or wreq?
Choose Crawl4AI if you want the larger community (83,782 stars) or its Apache-2.0 licence terms. Choose wreq if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.