Behind the scenes of an AI-Driven Web Scraping System

Building an AI-driven event scraper at scale means confronting static HTML, SPAs, bot detection, and constantly changing DOM structures. The key insight: LLMs handle pattern recognition and CSS selector generation, but validation loops, failure classification, and targeted retry feedback are pure engineering. First-attempt selectors fail 30–40% of the time, and human-in-the-loop correction closes the gap.