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.
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.
Start from BrowserAct Cloud →
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-captcha auto-solves CAPTCHAs; stealth-extract pulls protected pages in one command.
- Human layer —
remote-assist generates 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 —
state returns 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.
Installation details →
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
More examples and workflows →
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 | — | — | ✓ |
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