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.
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@double_chen That low token efficiency on repeat runs makes a huge difference at scale! Love how practical this approach is for daily automated workflows.
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@double_chen a lot of these sites block bots from AWS, etc. How reliable is this after thousands of scrapes? Will the scraping IP be blocked and my site fail?
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"Work inside logged-in sites" is the line doing the heavy lifting here 👀 congrats on launch #2 Maggie. What does a run return when the page loaded but the data was not there?
@rabnoor_s Thank you! In a normal run, BrowserAct will wait for the data to appear before extracting it. And if the Agent hits an issue during extraction, it should surface that and ask for confirmation instead of failing silently.
Congrats on the launch! When a target site changes its layout, does the Bot auto-detect the break and self-heal, or does it silently start returning bad data until you notice?
@abod_rehman Thank you! BrowserAct works in a real browser and uses the current page state to keep going where possible. If it can’t extract the data reliably, it will surface the issue instead of silently returning bad data.
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Congrats on the launch! We currently have 150+ conversational agents in production across different clients. Would it be possible to connect this with our platform and give our agents the ability to scrape information in real time before responding to a DM?
@lolo_cappucci Congrats on the launch! We currently have 150+ conversational agents in production across different clients. Would it be possible to connect this with our platform and give our agents the ability to scrape information in real time before responding to a DM?
I would test this on lead research where the site is public but the layout is a mess. For example, finding companies from a directory, opening detail pages, grabbing social links, categories, locations, and source URLs. Consistent fields would be the key.
@navinkishoreravikumar Exactly! Let the Agent handle the thinking, then let the Bot run the proven workflow reliably.
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how do you handle a page that says it took the value but the form state is empty? react inputs, summernote and quill editors. we hit it all week and the site never changed once.
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.