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How self-healing web scrapers work
A self-healing web scraper detects when its extraction rules stop matching a page — usually after a site redesign — and uses AI to re-read the new layout and re-map the fields automatically. This fixes the primary failure mode of traditional scrapers: selectors that break silently when the HTML changes, quietly killing your data pipeline.
The problem it solves
Traditional scrapers depend on fixed CSS or XPath selectors. When a site ships a redesign, those selectors match nothing and the scraper returns empty results — often without an obvious error. Teams discover the gap days later, after decisions were made on stale data.
The healing loop
On each run, Page Byte checks whether the saved extractor still returns rows. If it returns nothing and the scraper previously worked, the AI re-reads the fresh HTML, re-writes the selectors to match the new structure, validates that they now extract data, and saves the corrected extractor. The scheduled run finishes normally and records a self-heal event.
Because the repair is validated against real rows before it's saved, a heal only sticks when it actually works — you don't trade a broken scraper for a wrong one.