This article delves into the importance, challenges, and effective strategies for crawling Amazon data. From using proxy IP pools to simulating real user behavior, and from parallel crawling to resuming from breakpoints, it comprehensively outlines methods for large-scale Amazon data extraction. Additionally, it introduces the advantages of Pangolin Scrape API service as a specialized solution and highlights key technological aspects essential for successful Amazon data crawling.