acrawl vs browser-use
Last reviewed October 2026.
Short answer: both are open-source, MIT-licensed browser agents that take a goal and work out the clicks. browser-use is a Python library with a CLI and a hosted cloud agent; it’s the natural choice if you’re building in Python or want managed infrastructure. acrawl is a self-contained Rust binary with an MCP server, DevTools observation tools and a deterministic script layer; it suits running from a terminal, CI or a coding agent without a Python environment.
At a glance
Section titled “At a glance”| acrawl | browser-use | |
|---|---|---|
| Language and install | Rust binary; Node.js 20+ for browser features | Python package (uv add browser-use) |
| How you give it a task | Plain-English goal in a TUI or acrawl prompt, or MCP tools |
Python code, CLI, or hosted API |
| Hosted option | No, self-hosted only | Yes, cloud agent and cloud browsers |
| Built-in MCP server | Yes, 40 tools | Integrates with MCP clients |
| DevTools observation | Network, console, WebSocket, performance, cookies, storage, coverage, axe-core audits | Not a focus |
| Repeat work without LLM calls | Deterministic JSON scripts | No equivalent |
| Parallel work | Sub-agents on separate tabs with URL claiming | Multiple agents in your own code |
| Stealth | Bundled CloakBrowser, or your real browser via extension | Cloud stealth browsers, or your local browser |
| LLMs | 25 providers + OpenAI-compatible | Many providers, plus its own models |
| License | MIT | MIT |
Choose acrawl if
Section titled “Choose acrawl if”- You want one binary you can drop on a server or into CI, with no Python setup.
- Your AI coding agent needs to inspect network traffic, console errors, performance or accessibility on a live page.
- You run the same multi-page extraction repeatedly and want it to cost zero LLM calls after the first run.
Choose browser-use if
Section titled “Choose browser-use if”- You’re writing your automation in Python and want an agent library inside your code.
- You want a hosted agent and managed cloud browsers instead of running things yourself.
- You want its large ecosystem and community examples.