In this video, I walk through how we scrape pricing (and other product fields) from basically any ecommerce site without writing a custom BeautifulSoup scraper for every competitor. The core idea is simple: we use two APIs in a pipeline. First, Universal Search finds the most likely product page on a specific domain (think “Google-style results,” but programmatic). Then Smart Scraper hits the product URL and uses a text prompt to extract the exact fields we care about—price, SKU/MPN, title, and anything else you want returned as JSON. I show the most common real-world workflow: you’ve got a list of SKUs you care about, you know the competitor domains, but you don’t have the exact competitor product URLs. That’s where Universal Search shines—especially if you include a unique identifier like MPN/SKU/UPC (I strongly prefer that over product names because variants get messy). From there, Smart Scraper is just prompt engineering: ask for current vs original price, add conditional logic (cost vs MSRP, deal percent), enforce your own JSON field names, and even do inline transformations like translating values. If a field doesn’t exist, it returns NA—no hallucinated junk—so it’s safe to automate in workflows.