Stop Writing CSS Selectors That Break - Extract Web Data with Plain English Using AI

If you have ever scraped websites, you know the pain. You spend hours crafting the perfect CSS selectors, XPath expressions, or regex patterns. Everything works beautifully... until the website updates their HTML structure. Then your entire scraper breaks overnight. I got tired of this cycle. So I built something different. The Problem: Fragile Selectors Here is a typical web scraping scenario. You want to extract product data from an e-commerce site: # The traditional approach - brittle CSS selectors import requests from bs4 import BeautifulSoup response = requests . get ( " https://example-store.com/products " ) soup = BeautifulSoup ( response . text , " html.parser " ) products = [] for item in soup . select ( " div.product-card__wrapper > div.content " ): name = item . select_one ( " h3.product-title__text span.name " ) price = item . select_one ( " div.price-container span.current-price " ) rating = item . select_one ( " div.reviews-wrapper span.avg-rating " ) products . append ({