BrowserAct is a no-code web scraping and browser automation platform for AI agents. A user describes the data or task they want in natural language, and an agent builds and tests a reusable 'Bot' against the live site, choosing selectors and adapting when page structures change mid-run. The product ships the surrounding infrastructure as well: fingerprint-isolated local and cloud browsers, residential and static proxies with country-level targeting, built-in CAPTCHA solving, and human-in-the-loop handoff for verification steps. Results are exported as structured data, markdown, CSV, files and run logs. Published Bots can be triggered from Make, n8n and Zapier, and a CLI gives local agents access to a managed browser. Common uses include product and supplier research, competitor and review monitoring, lead-list building, and tracking creators, ads and job postings. The company says it grew out of seven years of RPA and web automation work and was started in early 2025, with a distributed team across Hong Kong, Singapore and the United States.
Funding
No funding rounds have been publicly disclosed.