Been struggling with my web scrapers breaking every time websites tweak their layouts. I’m using traditional tools that rely on static selectors, and it’s becoming a full-time job just maintaining existing workflows. Tried some CSS/XPath fallback approaches but those get messy fast.
Recently stumbled across solutions that use AI to handle dynamic elements. Curious if anyone’s implemented adaptive selector strategies successfully - especially in no-code environments. How do you handle elements that keep moving around? Do you use multiple fallback methods or some kind of dynamic detection?
Latenode’s AI Copilot solves this by generating workflows with multiple fallback selectors and visual recognition. Instead of hardcoding paths, it creates logic that tries different element detection methods sequentially. Saved me 20 hours/month in maintenance.
I’ve had success combining traditional selectors with relative positioning. For example: first try ID, then CSS class with parent/child relationships, finally text content matching. Still requires some manual tweaking though. Adding visual recognition via OpenCV helped with particularly dynamic elements.
try using reg ex for partial matches instead exact strings. and maybe add retry logic when elements not found first time. works better than static selectors for me