Break throughweb blocks
Stealth fingerprints, TLS rotation, and other anti-blocking layers prevent most web blocks. If triggered, CAPTCHAs are handled automatically, with human assistance as backup.
Agents need a browser layer that can pass blocked pages, adapt to real scenarios, run multiple tasks safely, and return clean web data for reasoning.
No registration needed
Partners include AWS, Microsoft Azure, Google Cloud, Oracle, Alibaba Cloud, Huawei Cloud, BytePlus, and Baidu AI Cloud.
Amazon Bestsellers · live web data · CAPTCHA handling · no scraper code written.
BrowserAct demo showing an agent install the browser-act skill, open Amazon bestsellers in stealth mode, auto-solve a CAPTCHA, scrape 80 listings, and export a CSV.
Stealth fingerprints, TLS rotation, and other anti-blocking layers prevent most web blocks. If triggered, CAPTCHAs are handled automatically, with human assistance as backup.
Reuse Chrome local login state; use stealth private mode for bulk scraping; use stealth fixed-identity mode for multi-account scenarios. All run on your local machine.
Run multiple agents and tasks in parallel without account mixups or state pollution. Each browser has its own identity, and each session has its own workspace.
Every interface is designed backward from how LLMs work. Clean text output, indexed interactions, and semantic memory help agents reason over the web.
A browser session is paired with a matched fingerprint profile and a built-in residential IP route before checks are triggered.
Fresh fingerprint and rotating proxy IP for every task, each a clean new identity. Built for bulk scraping: scrape, clear, leave no trace.
Multiple clean browser sessions run in parallel with rotating fingerprints and built-in rotating proxies for bulk scraping.
Bind every account to a fixed browser fingerprint, built-in static residential proxy, cookies, and workspace for stable multi-account scale.
Several parallel browser profiles each keep a fixed fingerprint and country-specific proxy for stable multi-account work.
Reuse your local Chrome login state so agents can work inside logged-in sites with cookies, SSO, extensions, and trusted sessions.
A desktop computer reuses a signed-in local Chrome profile, including cookies, SSO, and extensions.
Return the useful page structure as clean, low-token, indexed data instead of raw DOM.
Let the agent run commands like click, type, wait, upload, and navigate against stable action targets.
Describe each browser in natural language so agents can reuse the right identity later.
Gate sensitive setup, profile import, proxy changes, and human steps before action.
Diagram showing an authenticated browser session on the left, BrowserAct in the center, and four runtime capabilities on the right: clean web data, agent command execution, semantic browser memory, and confirmation before sensitive actions.
Install the skill, then let Claude Code, Cursor, or any agent drive your local Chrome, logged-in sessions, extensions, and SSO.
A local terminal sends browser commands to a logged-in browser session and returns clean data to the agent.
Describe in natural language and turn ideas into workflows. Crawler automation agents are in development, bringing more convenience and possibilities. Stay tuned.
A cloud workflow canvas runs steps like visiting a URL, clicking a button, and extracting structured data in a live browser.
Call BrowserAct through API or MCP to trigger browser tasks, run workflows, and return structured web data to your stack.
BrowserAct sits between API, MCP, and third-party integrations such as Make, n8n, and Zapier so browser tasks can plug into a product stack.
Install the CLI. Run your first Skill in 30 seconds. Take action anywhere. Your agent no longer gets blocked.