BrowserAct

Features

• Give agents a real browser
• Let Codex, Claude Code, Cursor, and other AI agents browse, click, type, and extract data from real websites.
• Get through blocked pages
• Use stealth browser sessions, fingerprint protection, and CAPTCHA handling to reach websites that break basic automation.
• Work inside logged-in sites
• Reuse local Chrome profiles, cookies, SSO, and extensions so agents can operate inside authenticated web apps.
• Handle CAPTCHA, 2FA, and human steps
• Let automation continue when possible, or hand off to a human remotely when a website needs verification or judgment.
• Run many sessions safely
• Isolate browser identities, accounts, cookies, and workspaces so multiple agents or tasks can run in parallel without state leaks.
• Turn web workflows into reusable skills
• Explore a site once, then save the successful path as a reusable skill that agents can run again and again.
• Built for agent reasoning
• Give agents clean page state, indexed actions, and structured outputs instead of noisy screenshots or brittle selectors.
• Run locally, then scale in the cloud
• Start from a local CLI workflow, then move repeatable browser automations into cloud workflows, API, or MCP integrations.

Use BrowserAct Skills when your AI agent needs to operate real websites instead of clean APIs. It helps agents scrape protected pages, work inside logged-in dashboards, collect competitor or market data, automate multi-step web tasks, manage parallel browser sessions, and recover from CAPTCHAs, 2FA, bot checks, or UI changes with remote human handoff. It is especially useful for AI coding agents, data extraction, browser automation, research workflows, QA, and repeatable operations across real websites.