From Regex to LLMs: A Data Extraction Paradigm Shift

The shift from brittle regex patterns and CSS selectors to AI-powered extraction marks a fundamental transformation in how developers tackle unstructured data. As websites grow more varied and dynamic, LLMs' semantic understanding provides a more robust solution than traditional pattern matching. This trend reflects broader adoption of AI for automation tasks where human-like reasoning outperforms rigid rules.