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.
This is the 2nd launch from BrowserAct. View more
BrowserAct Cloud
Launching today
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.
Free
Launch Team
BrowserAct
Hey Product Hunt 👋
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.
BrowserAct changes the starting point.
✨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.
@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?
BrowserAct
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.
BrowserAct
@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.
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?
Teable
For marketing research, I usually do not want a summary. I want rows I can filter later. BrowserAct seems closer to that workflow.
BrowserAct
@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.
Love that this focuses on structured data, not just page summaries.
BrowserAct
@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.
happy to spend 200k credit per month. :p
BrowserAct
@titouan_albouy1 Haha, we’d be very happy to see you put all 200k credits to good use
"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?
Thanks for creating the service! Just yesterday I tried to fix the issue of our agent not being able to check the websites of our customers and their competitors.