Why Web Scrapers Are Ditching Regex for Language Models

As web scraping scales across diverse website layouts, traditional regex and CSS selector approaches become increasingly fragile and difficult to maintain. This article demonstrates how large language models can serve as intelligent, context-aware parsers that adapt to inconsistent HTML structures without requiring hundreds of conditional rules. For developers managing data extraction at scale, this represents a fundamental shift from brittle pattern-matching to flexible, AI-powered extraction.