How I Analyzed 10,000 Vinted Sellers to Find Secret Streetwear Suppliers

If you're into clothing arbitrage or reselling, you already know the problem: finding the right suppliers is a nightmare. Everyone is fighting over the same local thrift store racks or paying retail prices disguised as "wholesale." I wanted to know where the top 1% of Vinted sellers in Europe were getting their inventory. So, instead of guessing, I scraped and analyzed over 10,000 top-performing Vinted sellers across 19 EU countries. Here is exactly what I found, the data structure behind it, and how you can replicate it. The Data Collection: Scraping 19 Countries at Once Vinted is heavily fragmented by country. A Carhartt jacket that sells for €80 in France might be sitting unsold for €30 in Poland or Italy. To map this out, I built a custom Apify actor ( Vinted Smart Scraper ) that bypasses regional blocks and aggregates data cross-border. Here is a snippet of the raw JSON output I was working with for a typical high-margin item: { "id" : 4192837482 , "title" : "Vintage Carhartt Detr