BrowserAct is built for agents using the web. It gives agents a browser layer for real websites, so they can pass blocked pages, adapt to real scenarios, run multiple tasks safely, and return clean web data for reasoning. Use BrowserAct when an agent needs to browse, click, extract, fill forms, upload files, work inside logged-in sites, handle verification, or run repeatable browser workflows.
Stop fixing broken scrapers. BrowserAct's AI agent builds a Bot from your plain-English description, tests it in a real browser, and keeps it running even when the site changes. Structured data lands in your CSV, JSON, API, or tools like Make, n8n, and Zapier.Build once. Run reliably. Improve continuously.
Totally agree. A lot of people know exactly what data they need, but building and maintaining a scraper is a completely different skill set. That’s exactly the gap we’re trying to close.
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Framer AI AgentsDesign and publish professional sites with AI
I'm Maggie, Senior Marketing Operations at BrowserAct.
We built BrowserAct because web data work still asks too many people to think like scraping engineers.
If you need public product data, local business records, reviews, job listings, creator leads, or competitor research, the hard part usually is not knowing what data you want. The hard part is turning that request into selectors, browser steps, pagination logic, retry handling, and maintenance.
✨You describe the website, filters, and fields you need in natural language. BrowserAct opens the live website in a real cloud browser, explores the page flow, tests the extraction, and turns it into a reusable Bot. Then you can run the Bot again with new inputs and get structured results as CSV, JSON, through API or webhook, or directly in tools like Make, n8n, and Zapier.
Our goal is simple: 🚀Build once. Run reliably. Improve continuously.
We would love feedback from operators, founders, growth teams, researchers, and automation builders who still spend too much time collecting structured web data.
🎁 Product Hunt launch offer: Sign up to get 1,500 credits. Upgrade to unlock a 7-day free trial. Build your first BrowserAct Bot today.
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@double_chen Massive congrats on the launch,love how smooth the agent workflow is. Are you running your own headless browser fleet in the cloud, or partnering with an infrastructure provider?
Thanks, really appreciate it! We use real browser sessions behind the workflow, and the focus is making build-and-run reliable for users rather than exposing the infrastructure layer.
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@double_chen Eliminating the need to think like a scraping engineer just to get structured web data is brilliant. Loving the build once, run reliably approach and direct integrations with tools like Zapier and n8n.
@tehreem_fatima5 Thanks, that’s exactly the pain we want to remove. Once a Bot is built successfully, repeated runs are very lightweight, with minimal token usage and much lower cost than rebuilding the task every time.
@jocky Thanks, totally agree. For research, filterable rows are often more useful than a polished summary, and that’s exactly the kind of output BrowserAct is built for.
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Love that this focuses on structured data, not just page summaries.
@domenic_yang Thanks! That’s exactly the idea. Summaries are useful sometimes, but structured data is what people can actually sort, filter, and act on later.
A client asks for competitor lists, review snapshots, ecommerce pricing, or creator prospects, and the team usually builds a one-off sheet by hand. A reusable Bot could make that research repeatable across clients.
@justin2025 Thanks, that’s exactly the kind of workflow we had in mind. Build the Bot once, then run it again whenever a similar client request comes in, instead of rebuilding the same research sheet every time. It can save a lot of manual hours and keep the cost of repeat research much lower.
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It's one of thé most powerfull and intelligent tool i use for automation. Ask what you want to scrap, browseract does it all for you
Congratulations and thanks for the numerous updates. I love it and my ai agents as well.
@labaude Thank you, this means a lot! That’s exactly what we’re aiming for: tell BrowserAct what you want to extract, build it once, and let it keep running reliably for your agents.
BrowserAct
Totally agree. A lot of people know exactly what data they need, but building and maintaining a scraper is a completely different skill set. That’s exactly the gap we’re trying to close.