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
Launched this week
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
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.
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.
BrowserAct
@abhi_singh4000 Exactly! That’s what we’re trying to solve—turning a simple request into a working bot, not a technical project.
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.
BrowserAct
@artk 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.
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
Lancepilot
Mom Clock
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.
BrowserAct
@justin2025 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.