As competition intensifies on the Amazon platform, the fundamental basis of data analysis lies not in advanced analytical tools but in comprehensive, accurate, and real-time raw data. This article dissects three major dilemmas of traditional collection methods—inefficient manual collection, difficult-to-maintain self-built crawlers, and costly data delays—and introduces the technological breakthroughs and application value of real-time data collection API solutions. Pangolin Scrape API provides millisecond-level responses through distributed proxy IP pools and headless browser technology, supporting multi-dimensional data collection and structured output for dynamic pricing, advertising optimization, and inventory management, achieving a proven 37% increase in conversion rates for 3C category products. The article concludes by proposing the “Four-Step Data Infrastructure Method,” guiding sellers through the operational transformation from experience-driven to data-driven approaches.