ScraperCity for GTM engineers

You build the pipes the GTM team runs on, and every data source you add is another key, another billing model, another API to learn. ScraperCity gives you scrapers, enrichment, validation, and databases behind one Bearer-token API and one MCP server, with webhooks and pay-per-result billing, so you wire in a data layer once instead of stitching five vendors together.

What GTM engineers build most

• A scheduled enrichment job that fills emails, mobiles, and titles on new records the moment they land in your CRM or warehouse.
• A webhook-driven scrape that fires from an event in your stack and posts back a finished CSV when it reaches SUCCEEDED.
• A database query behind an internal routing, scoring, or dedupe tool, pulling from the B2B contact database without leaving your app.
• An agent workflow that reads an ICP, builds a list across scrapers, enriches it, and validates every email end to end through MCP.

What we see GTM engineers do that works

We run this infrastructure in production for paying customers, so we can see what the engineers who build durable pipelines actually wire up. The patterns are consistent:

• They wire the whole toolset through one key. Every scraper and data tool sits behind the same Bearer-token API and MCP server, so adding a source is a new endpoint, not a new vendor, key, or billing model.
• They lean on the highest-volume sources. Apollo and Google Maps are the two engines the biggest pipelines are built on.
• They validate in the pipe, at volume. The Email Validator runs as a pipeline step, so only deliverable addresses reach the warehouse or CRM downstream.
• They query instead of scrape when they can. The Lead Database endpoint answers against the B2B contact database immediately, no run to wait on, and skip trace and tech-stack lookups fill the rest.