自动化复杂多会话浏览器任务
让 Agent 对网站执行自动化操作、抓取和复杂任务。
使用前，准备这些
输入素材：任务目标、相关文件与可用工具
- 在下方原始文档中确认支持的 AI 工具、模型和运行依赖。
- 打开原仓库，按作者的安装说明完成配置；模型 API 或外部服务可能需要单独开通。
- 用自己的素材试运行，再检查事实、版式与输出文件。
许可证：MIT
来源快照：2026-09-15。README ↗
原项目许可证与版权声明
MIT License Copyright (c) 2026 BrowserAct Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
可以这样开始
What can BrowserAct be used for?
BrowserAct enables AI agents and teams to perform real-browser automation, web data extraction, and account-based workflows.
It helps agents get past anti-bot walls, hand off to humans across platforms when stuck, run parallel tasks without cross-contamination, and isolate multiple accounts in independent browsers, backed by stealth fingerprints, TLS rotation, residential proxies, CAPTCHA solving, and stable fingerprint-proxy setups for authenticated sessions.
Two usage modes are available: fully cloud-managed execution, or local browser control driven by your own agent workflow.
Use BrowserAct in the cloud
No agent setup required, with lower operating cost. Describe the website, filters, and fields you need. BrowserAct builds and tests a reusable scraping Bot in a real cloud browser, then runs it from the cloud. Build once. Run reliably. Improve continuously.
Watch demo: Build a Web Scraper from One Prompt | BrowserAct →
Use BrowserAct locally with Skills
Use BrowserAct Skills when you want local browser control, local Chrome login-state reuse, or direct integration into your own AI agent workflow.
Your agent can load the BrowserAct Skill, discover browser state with get-skills, and run browser automation commands directly from your local environment.
Watch demo: BrowserAct: Give AI Agents a Real Browser →
Start from BrowserAct Skills →
Why BrowserAct
The browser an AI agent needs has to reach places standard tools can't, let a human seamlessly take over when the agent is stuck, keep parallel tasks from cross-contaminating, and be designed for LLM reasoning — not human-written scripts. A browser for agents must get four things right.
1. Break through blocks — three progressive layers
- Environment layer — stealth fingerprint spoofing, TLS rotation, proxy switching. The vast majority of blocks never trigger.
- Execution layer —
solve-captchaauto-solves CAPTCHAs;stealth-extractpulls protected pages in one command. - Human layer —
remote-assistgenerates a live URL; the user takes over from any device, and the agent continues seamlessly when done.
2. Three browser modes — by real-world scenario
| Mode | Scenario | Key trait |
|---|---|---|
chrome | Reuse local Chrome login state | Profile import or CDP attach |
stealth privacy mode | Frictionless batch scraping without login | Fresh fingerprint per session + proxy rotation, zero residue |
stealth fixed identity | Logged-in accounts · multi-browser parallel | Stable fingerprint + stable IP, stable account identity, not flagged as bots |
3. Zero-interference concurrency — every agent in its own lane
- Cross-browser parallel — independent cookies, fingerprints, proxies. Sites cannot correlate them.
- Same-browser multi-session — shared login state, independent execution, tasks don't block each other.
- Privacy mode — fresh fingerprint and empty profile per session, zero residue when done.
4. Designed for agent reasoning — not human scripts
- Compact text output — indexed text format, several times more token-efficient than JSON or HTML.
- Indexed interaction —
statereturns an indexed list;click 3/input 2 "...". No DOM parsing required. - Semantic memory — every browser carries a
desc, matched to tasks by meaning. - Concurrency-safe — session ownership + explicit naming. Multi-agent operation never conflicts.
Security: confirmation gating — sensitive operations (browser create / delete, Profile import, proxy changes, security and privacy toggles) require explicit user approval. Prior approvals do not carry over. Enforced at the Skill layer, not a configuration toggle.
And More
- Better headless — Default headless without disrupting users; stealth headless that isn't detected.
- Cross-platform remote handoff — Any device opens the link to take over, and the agent continues seamlessly.
Install
Tell your AI agent:
Install browser-act. Skill source: https://github.com/browser-act/skills/tree/main/browser-act . Verify it works after installation.
Quick Start
# Extract protected page content (zero config)
browser-act stealth-extract https://example.com
# Full browser automation
browser-act --session my-task browser open <id> https://example.com
browser-act --session my-task state # See clickable elements
browser-act --session my-task click 3 # Click by index
browser-act --session my-task input 2 "hi" # Type into a field
The agent runs get-skills at the start of each session — gets environment state, browser list, and commands in one call:
browser-act get-skills core --skill-version 2.0.2
How agents discover and use BrowserAct →
Compatibility
OS: Windows, macOS, Linux
Agents: Claude Code · Cursor · VS Code · OpenCode · OpenClaw · Codex · Gemini CLI — works with any agent that can execute shell commands and load Skills.
What's Free
Almost everything is free. Only two features require payment: managed proxies (Dynamic / Static), and stealth browsers beyond the first 5.
| Feature | Free (No Signup) | Free (Login Only) | Paid |
|---|---|---|---|
| Browser automation, Chrome / Chrome-direct | ✓ | ✓ | ✓ |
| Stealth browser (≤ 5), stealth-extract, solve-captcha, remote-assist, privacy mode, Skill Forge | — | ✓ | ✓ |
| Stealth browser (> 5), Dynamic / Static proxy | — | — | ✓ |
Documentation
Full documentation covers anti-blocking, browser modes, sessions and concurrency, headless and remote handoff, agent design, the Skills system, and the complete command reference.
Also From BrowserAct
Skill Forge — Your Personal Scraping Engineer
Need to extract data from the same website repeatedly at scale? Don't write scrapers by hand. Skill Forge explores a site once, discovers its APIs and data patterns, generates a deploy-ready Skill package, then runs reliably without re-exploration — 500 or 5,000 records through the same stable path.
Any website. Any data. One command to start:
Install browser-act-skill-forge. Skill source: https://github.com/browser-act/skills/tree/main/browser-act-skill-forge . Verify it works after installation.
Then tell your agent what you need:
"Forge a Skill that extracts job listings from LinkedIn — title, company, salary, URL. I'll run 300 keywords later."
Solutions Catalog
30+ pre-built Skills already generated by Skill Forge, ready to install and run. Covers Amazon, Google Maps, YouTube, Reddit, WeChat, Zhihu, and more.
Browse the full Solutions Catalog →
Build Your Own
Can't find what you need above? Generate a custom Skill for any website in minutes — no coding required. Just describe what data you want or what action to perform, and Skill Forge handles the rest.
💖 Support the Project
BrowserAct Skills is free and open source. If it saves you time, please give us a ⭐ Star — it keeps the project alive and helps us ship more skills.
🎁 Bonus: Once you star the repository, you can join our Discord and post in the #claim-500-credits channel to receive 500 free credits!
🤝 Community & Support
Built with ❤️ by the BrowserAct Team