Why Web Scraping Is Shifting From Brittle HTML Parsers to AI Models

This marks a fundamental paradigm shift in web data extraction, replacing fragile HTML selectors with AI-driven approaches that remain robust even when website structures change. For enterprises scraping across diverse platforms, this eliminates costly per-site parser maintenance while enabling richer semantic understanding through sentiment analysis and contextual classification. As websites continue evolving with dynamic layouts and A/B testing, LLM-based extraction becomes essential for sustainable, scalable data collection.