Amazon Scraper API Benchmark: 12M Requests Across 4 Platforms — What the Data Actually Shows

Amazon Scraper API Benchmark: 12M Requests Across 4 Platforms — What the Data Actually Shows TL;DR Self-built scrapers : 71.4% product page success rate at scale, 60% of engineering time on anti-bot maintenance Competitor A : 89.1% product pages, 81.2% SP ad slots, 8,900ms P99 — workable but with real blind spots Pangolinfo : 98.6% product pages, 97.3% SP ad slots, 3,890ms P99, full Customer Says extraction Cost delta : ~¥27,500/month savings at 100K pages/day vs self-built Key limitation : Non-Amazon platform (Walmart/Shopee) maturity gaps, English docs update faster than Chinese Full benchmark methodology and data below. Code examples included. Why I Ran This Test Our team had been running a self-built Amazon scraping infrastructure for about eight months when the maintenance burden became impossible to ignore. Not because anything was catastrophically broken — but because the engineering economics had quietly inverted. Amazon's anti-bot infrastructure in 2025 is not the problem it w