How teams build
on the live web.

The needReliable live web data for an agent's research loop, on protected sources that every other tool failed on.

On ZenrowsThey pointed Fetch at the sources and got clean, rendered pages back, no proxies or browsers to run.

The resultProduction-ready in two days.

"Zenrows Fetch made it production-ready in two days."

The needA production data pipeline that three engineers spent their time keeping alive.

On ZenrowsThey moved the pipeline to Batch and Extract: typed records, at volume, without scrapers to maintain.

The resultTwo of the three engineers shifted back to product work.

"That's the real ROI."

The needHigh-volume access to protected retail sources for a Series B product built on that data.

The evaluationThey tested Firecrawl, an internal Playwright build, and Zenrows.

The resultZenrows was the only one that held up at their volume on protected sources.

"No contest."

The needFresh web context for every agent query, structured and ready to reason over.

On ZenrowsThe Agent Toolkit handles access and structure; the team's agents handle the reasoning.

The resultA clean split between infrastructure and intelligence.

"That's exactly how it should be."

The needA rotating team of contractors was maintaining scrapers just to keep data flowing.

On ZenrowsThey replaced the whole stack with Fetch and Batch.

The resultThe scraper-maintenance function is gone.

"Now we just use Fetch and Batch."