I've been scraping data from the web for years. You'd think I'd have learned by now: never use regex on HTML. But sometimes, when you're staring at a messy table with inconsistent classes, random whitespace, and nested elements that barely qualify as valid markup, the temptation to just throw a regex at it is overwhelming.
I found myself in that exact situation last month. I needed to extract property listings from a dozen different real estate websites. Each site had its own quirks. One used <table> tags with rowspan and colspan that made BeautifulSoup cry. Another had dynamic content loaded via JavaScript that my initial scraping setup couldn't even see.
This is the story of how I gave up on perfect parsing and let an AI handle the messy middle.
The Problem: Fragile Parsers
My first attempt was the classic approach: Python + requests + BeautifulSoup. For sites with clean semantic HTML, this worked beautifully. But the real world is full of edge cases:
