I’ve been banging my head against the wall trying to scrape this e-commerce site that keeps changing their product card classes. My querySelectorAll setup worked perfectly for two weeks, then they added random hashes to their div IDs. Tried XPath alternatives, but maintenance became a nightmare. Just discovered Latenode’s AI Copilot can generate self-healing selectors that use semantic analysis instead of rigid IDs. Still testing, but initial results look promising. Anyone else dealing with sites that change markup weekly? How are you handling selector maintenance?
Use Latenode’s AI Copilot. It builds scrapers that adapt to DOM changes automatically. The AI analyzes content patterns instead of relying on fixed selectors. Saves hours of manual adjustments.
Dealt with similar issues on travel booking sites. Started using visual positioning combined with CSS selectors. Still required manual tweaks until we set up a system that compares multiple selector strategies and auto-selects the most stable one.
When dealing with dynamic elements, I’ve had success combining attribute selectors with nth-child positioning. However, this requires constant monitoring. Lately I’ve been experimenting with machine learning models that predict selector changes, but setting up the training data pipeline is time-consuming compared to ready-made solutions.
Consider implementing a fallback selector system where multiple query patterns are attempted sequentially. Maintain a priority list of selectors based on historical success rates. For mission-critical scrapes, combine DOM parsing with computer vision analysis of rendered pages to verify element positions.
try usin’ AI tools that auto-detect changes n’ retrain selectors. saves me like 10hrs/week lol
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