Browse AI

The honest way to think about Browse AI is that you're buying three things: speed to a first dataset, resilience after that dataset exists, and a connector layer. Speed is real — the point-and-paste flow with AI-proposed columns means a non-technical operator can have structured rows in a spreadsheet in an afternoon rather than a sprint. Resilience is the underrated part. Any scraper breaks when a site changes; the question is whether it breaks loudly or silently. Browse AI's change detection is designed to alert and adapt rather than let empty columns accumulate, and that alone justifies the subscription for anyone whose job depends on the feed staying accurate. The connector layer is the third piece and it's genuinely broad: native Google Sheets and Airtable destinations, a v2 REST API covering robots, tasks, monitors, webhooks, and bulk runs (up to 50,000 tasks per bulk run), and webhooks that fire on task completion and table export. Scheduled runs go as tight as hourly, and monitors let one trained robot watch several pages with different inputs and schedules. The weak spots are structural, not bugs. Credits are the pricing unit, and they're consumed by page volume, so your bill is a function of how much you scrape — comfortable at 50 or 2,000 credits a month, less so in the tens of thousands, and the tier you land on also caps how many websites you can track (2 on Free, 5 on Personal, 10 on Professional). Extra domains are sold separately at $5/mo monthly or $4/mo annual on Personal, and $3/mo or $2.40/mo annual on Professional — small line items that add up across a portfolio. Annual billing is where the advertised $19 and $69 numbers come from, and it means paying for a year of credits upfront. Sites that need complex authenticated flows or heavy JavaScript rendering beyond what the recorder captures, and anyone who wants sub-hour refresh or full control over parsing logic and concurrency, are better served by Apify, Scrapy, or a headless-browser script. Also worth noting: the schema you approve is what you get — fields you didn't define don't appear, so the review step matters more than the demo suggests. Where it fits best: an ops or analyst team with a modest, recurring list of pages they care about, already living in Sheets, Airtable, or a Zapier-connected stack. Where it doesn't: a data-engineering group running a large-scale crawl on a fixed budget who need to own the parser.