TL;DR Building your own Amazon top 100 category scraper in 2026 means you're signing up for a continuous anti-bot arms race that consumes 40% of your data engineering capacity (per Jungle Scout's own data). After going through the full cycle — DIY scraper, then headless browsers, then duct-taping together proxy pools — I switched to Pangolinfo Scrape API . Here's the honest technical breakdown of why, with all the code you need to replicate it. Why Amazon Category Top 100 Data Matters The Best Sellers list for any Amazon category is one of the cleanest public signals of real consumer demand. Unlike keyword search volume (which includes curiosity clicks) or ad impression data (which reflects advertiser intent), BSR reflects actual purchases. What makes it even more valuable is the temporal dimension . A static snapshot tells you who's winning. A time-series of rank positions tells you who's accelerating — and rank velocity is where the real opportunity signal lives.…