Self-serve scraping APIs are great until your use case gets specific.
You need authentication behind a login wall. You need visual
inspection of a screenshot, not just the HTML. You need multilingual
extraction across 20 geographies where the page structure changes
per-country. You need a delivery format your vendor's dashboard
doesn't support. Every generic tool hits a wall at the 80% mark.
In-house engineering works until the site you rely on changes on
Monday morning. Your team is debugging XPath selectors instead of
shipping your actual product. You hire a scraping engineer, then
another one to cover vacations, then a third when volume grows.
Three months in, you have a sub-team maintaining infrastructure you
never wanted to own.
We've been running this since 2019. For a century-old US cooperative
advertising verification bureau processing ~1,680 dealer audit PDFs
a month. For Fortune 500 CPG brands auditing imagery across Amazon,
Walmart, and DTC channels. For deep-tech AI startups feeding
multilingual consumer signals into product innovation models. For
Southeast Asia marketplace enablers tracking daily seller dashboard
metrics on platforms that don't expose APIs.
You send us URLs and a schema. We return structured data on a
schedule, with human QA and SLA-backed delivery. No dashboards for
you to learn. No selectors for your team to maintain. No 3am pages
when the site changes its DOM.