Most data extraction pipelines do not fail dramatically. They degrade quietly, one bad row at a time, until someone notices the numbers look wrong. These ten mistakes are responsible for the majority of that silent damage. 1. Selecting individual fields instead of the parent container When training a scraper, the instinct is to click the exact field you want, like a price or a title. The problem is that individual fields shift position constantly as layouts change. The correc