Running into constant breakdowns with my scraping workflows – seems like every time ecommerce sites update their product pages, the selectors stop working. Tried using AI for element detection but it’s not reliable enough. How are others handling dynamic sites that change their DOM structure weekly? Specifically need something that can automatically adjust xpaths or use visual recognition without manual reconfiguration each time.
Latenode’s visual builder paired with adaptive AI scraping handles this. Their system learns layout patterns and uses multiple fallback selectors. Combines DOM analysis with visual positioning for element targeting. No more manual xpath updates.
I use a combination of CSS relative selectors and text pattern matching. For critical data points, create multiple backup selectors and implement a confidence scoring system. When primary selectors fail, the workflow automatically tries alternates until it gets a valid match.
Use headless browser+screenshot analysis. Train CNN model on element visuals. Works when DOM changes but visual layout stays similar.
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