Describe the fields you need in plain English and get clean, validated JSON back — from any website. No parsers to write. Nothing to fix when a page changes its layout. This year we rebuilt ScrapeUp around that promise.
{
"company": "Acme Corp",
"domain": "acme.com",
"employees": 1200,
"industry": "SaaS",
"hq": "San Francisco, CA",
"verified": true
}Every scraper used to mean selectors to write and re-write each time a site shifted a div. With AI extraction, you describe the outcome — ScrapeUp figures out the page. When the layout changes tomorrow, your integration doesn't.
The same call, routed to the model the job actually needs. Run bulk enrichment for cents, and reserve frontier models for the fields that have to be exact — per request, no re-plumbing.
The reliable default.
Reliable, structured extraction for the bulk of your jobs. Fast, accurate, and inexpensive.
Typed fields ready for a database or an API — not just markdown for an LLM. Define a schema and get output you can trust downstream.
Login walls, aggressive anti-bot, and regional sites — handled. Real stealth Chrome, plus datacenter, residential, and mobile proxies you control per request.
Choose the country and proxy type per request. See the web the way your users — or your targets — actually see it.
Billing on successful requests only. Failed calls don't cost credits — so cost tracks the data you actually get.
Point ScrapeUp at a source and get notified the moment the structured data changes — freshness delivered as a service, not a job you schedule and babysit. If your business runs on data staying current, this is being built for you.
Engineering investment stepped up materially this year. AI extraction and model tiers have shipped; continuous monitoring is next — the first in a series of releases. We'd rather partner closely with the teams who'll put it to the highest use than sell a starter plan.
Start free with 25,000 credits — no card. Or tell us how your data pipeline works, and we'll shape extraction, coverage, and monitoring around it.