BrowserAct
Web browser automation for AI agents
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BrowserAct Cloud - Scrape any data from any website with one prompt

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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.

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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?

Maker

 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.

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.

Maker

 Thank you! That’s a very real use case for us too. BrowserAct is meant to help agents work through real websites more reliably. Looking forward to hearing more as you try it out.

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?

Maker

 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.

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.

Maker

 That’s a great use case! Turning messy public directories into clean, consistent lead data is exactly where BrowserAct can help.

The build/run split is the most interesting part. Use the Agent where judgment is needed, then run the validated workflow predictably.

Maker

 Exactly! Let the Agent handle the thinking, then let the Bot run the proven workflow reliably.

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.
Maker

 Thanks, totally agree. GTM research is a great fit: the data is often public, but turning directories, reviews, partner pages, and job posts into a clean table is the painful part BrowserAct is meant to take off your plate.

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.

Maker

 Yeah.BrowserAct works in a real browser, so it doesn’t just “set a value” and move on. For tricky inputs like React fields, Summernote, or Quill, the Agent checks the actual page state and can retry or ask for confirmation when the form still looks empty.

scrapers breaking every week is the real pain, this looks usefull 🙌

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