Web browser automation for AI agents
Click to view full sizeBrowserAct is an agent-ready browser automation platform for real websites. AI agents often work well in clean demos, then break when they meet login state, bot detection, CAPTCHAs, dynamic pages, file uploads, multi-step forms, or manual confirmation steps. BrowserAct gives agents a browser layer that can open pages, inspect live page state, click, type, extract data, manage sessions, and continue through real workflows with the right level of automation and human assistance. Core capabilities: Browser automation for navigation, clicking, typing, file upload, screenshots, JavaScript execution, and data extraction. Browser modes for local Chrome login reuse, direct Chrome control, and stealth sessions. Session isolation and concurrent browser work so multiple agents, accounts, or tasks do not interfere with each other. Anti-detection and blocking support with stealth fingerprints, proxies, CAPTCHA / verification assistance, and remote handoff when a human needs to step in. Model-friendly state output, indexed actions, semantic browser memory, and confirmation gates for sensitive operations. Skill Forge for turning a one-time website exploration into a reusable BrowserAct skill. BrowserAct is useful for AI agent builders, automation developers, web data teams, ecommerce operators, growth teams, QA workflows, and anyone building agents that need to use the web safely and reliably.
AI agents break on real sites with logins, CAPTCHAs, dynamic UI, and session state.
BrowserAct gives agents a real browser layer for clicking, extracting, sessions, and handoff.
AI agent builders, automation developers, web data teams, QA, and growth operators.
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