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Customer Stories · Workflows

How an Engineering Team Reduced Scrape Breakages from Weekly to Rare

Scheduled runs, retries, and soft-block detection replaced manual fixes—and downstream teams noticed.

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Overview

How an Engineering Team Reduced Scrape Breakages from Weekly to Rare

RelayHQ's platform team was fixing a broken selector almost every week. Downstream teams stopped trusting the dataset because it silently went stale between fixes.

The old workflow

A cron job ran a scraper against a handful of sites. When a site redesigned its markup, the job kept running and kept returning empty or garbage fields—nobody noticed until a downstream report looked wrong.

What changed

Scheduled runs now retry with a real browser when a product page comes back without commerce signals, and fail explicitly instead of storing junk when a soft-block or bot-fallback page is detected. Failures show up as a job status, not a silent empty row.

Stack

  • Scheduled crawls with automatic Playwright fallback for JS-rendered pages
  • Soft-block / bot-fallback detection on every product-detail fetch
  • Slack alerts on job failures instead of silent empty exports

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