When Traditional Web Scraping Fails: A Practical AI Approach
I've been building web scrapers for years. BeautifulSoup, Scrapy, Selenium — I've used them all. But last month I hit a wall. A client needed me to extract product data from a site that changed its HTML structure every few days. One week the price was in a <span class="price">, the next it was inside a <div> with a random ID. My scraper kept breaking, and I was spending more time fixing selectors than actually getting data. The Problem The site was a dynamic e-commerce pl...
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