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Nxtratechnology

Web scraping / Data extraction

Reliable extraction across 100+ protected websites

A production scraping system designed to gather structured records across dynamic and Cloudflare-protected sources.

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Challenge

The sources used different page structures, loaded data dynamically, and applied anti-bot controls. A one-off script would fail silently and leave the downstream dataset incomplete.

Approach

We built browser-driven extraction with source-specific selectors, retry paths, validation, and normalized output. The workflow separated navigation, parsing, and delivery so failures could be isolated instead of rerunning the entire job.

What changed

  • More than 100 sites could be processed through one observable workflow.
  • Validation caught incomplete records before they reached the client dataset.
  • Source changes could be repaired without rewriting the whole pipeline.
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Next step

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