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.
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.
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.
This would be handy for GTM research. Public directories, review sites, partner pages, job posts... the data is usually public, but collecting it into a clean table is the boring part that eats the afternoon.
The build/run split is the most interesting part. Use the Agent where judgment is needed, then run the validated workflow predictably.
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.
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.
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?
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.
"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?
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 is the first AI scapping tool that has worked for me without any fluff. congrats on the launch!!
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.
For marketing research, I usually do not want a summary. I want rows I can filter later. BrowserAct seems closer to that workflow.
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.
About BrowserAct Cloud on Product Hunt
“Scrape any data from any website with one prompt”
BrowserAct Cloud launched on Product Hunt on August 14th, 2026 and earned 280 upvotes and 38 comments, earning #2 Product of the Day. 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.
BrowserAct Cloud was featured in SaaS (43.9k followers), Developer Tools (518.4k followers) and No-Code (5.9k followers) on Product Hunt. Together, these topics include over 141.1k products, making this a competitive space to launch in.
Who hunted BrowserAct Cloud?
BrowserAct Cloud was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how BrowserAct Cloud stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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.