#338 · Primary category: AI Agents & Automation

skills

agent-infrastructure ai-agents automation claude-cli claude-code claude-code-skills claude-skills codex codex-cli codex-skill cursor data-extraction no-code openclaw openclaw-cli openclaw-skill openclaw-skills web-data-extraction web-scraping web-scraping-api

Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session operation, isolated multi-account browsing.

Project last updated:08/24/26

GitHub Stars

5.5K

Forks

269

Contributors

12

License

MIT

Why we included this project

Agents that need to do real work in a browser hit a wall as soon as pages are login-walled or protected by anti-bot checks. BrowserAct gives those agents a backend with a small command-line interface (open, state, click, input) and indexes page elements, so the model can act without parsing raw DOM. The genuinely useful layers are the anti-detection ones: stealth fingerprints, TLS rotation, proxies, automated CAPTCHA solving, and a remote-assist handoff that lets a human take over a stuck session from any device. Sessions stay isolated, so cookies, fingerprints, and proxies do not cross-contaminate during concurrent scraping or account-based workflows. You can run it as a local skill for Claude Code, Cursor, Codex, and similar tools, or let it run fully managed in the cloud.

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