BrowserAct
Web browser automation for AI agents
Start new thread

BrowserAct Cloud - Scrape any data from any website with one prompt

by•
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.

Add a comment

Replies

Best
Maker
📌

Hey Product Hunt 👋

I'm Maggie, Senior Marketing Operations at .

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.

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 Bot today.

 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?

Maker

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.

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.
Maker

 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.

That low token efficiency on repeat runs makes a huge difference at scale! Love how practical this approach is for daily automated workflows.
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?

For marketing research, I usually do not want a summary. I want rows I can filter later. BrowserAct seems closer to that workflow.

Maker

 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.

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.

Maker

 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.

happy to spend 200k credit per month. :p

Maker

 Haha, we’d be very happy to see you put all 200k credits to good use

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?

Maker

 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?

This feels practical for agencies.

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.

Maker

 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.

Love that this focuses on structured data, not just page summaries.

Maker

 Thanks! That’s exactly the idea. Summaries are useful sometimes, but structured data is what people can actually sort, filter, and act on later.

As a non-dev, scraping always feels like ""one small task"" that somehow turns into a technical project. The prompt-to-Bot idea makes a lot of sense.

Maker

 Exactly! That’s what we’re trying to solve—turning a simple request into a working bot, not a technical project.

Love the idea. Congrats!

Maker

 Thank you! Really appreciate the support. Feel free to try BrowserAct, and we’d love to hear more of your feedback.

this is the first AI scapping tool that has worked for me without any fluff. congrats on the launch!!

Maker

 Thank you so much! That’s exactly what we hoped to build—an AI scraping tool that simply works, without the fluff. Really appreciate your support! 🙌

12
Next