Tracking Search Rankings & SEO on Depop

Visibility drives sales on Depop. For high-volume sellers and fashion brands, slipping from the first row of search results to the tenth is the difference between a quick sale and a stale listing. Because the Depop algorithm prioritizes fresh, relevant content, your search position changes constantly. Monitoring these positions manually is tedious, especially if you manage dozens of items across multiple keywords. This guide demonstrates how to build an automated Depop SEO tool using Python and Selenium. We will use the open-source Depop.com-Scrapers repository to extract search data and implement logic to track exactly where your products rank over time. Understanding Depop’s Search Structure Before writing code, we need to look at the technical layout of a Depop search page. When you search for "vintage nike sweatshirt," Depop returns a grid of products. Technically, these results are an ordered list of product objects. A product's rank is its index in that list, plus one to make it