SellerSprite Amazon Product Search
Performs multi-criteria Amazon product research and competitor screening using the SellerSprite API powered by Wenmai AI.
Wenmai SellerSprite Product Search connects Claude Code to the SellerSprite (卖家精灵) standard product research API, enabling advanced filtering across Amazon product databases. Cross-border e-commerce sellers and researchers can query marketplace items using specific metrics such as keywords, category trees, estimated sales volume, revenue, Best Sellers Rank (BSR), price points, ratings, brand affiliations, seller profiles, and fulfillment methods. It automates standard payload construction and response formatting to support data-driven catalog research, niche identification, and competitor intelligence workflows.
Key Features
01Filter by sales revenue, unit volume, BSR ranges, price brackets, and review counts
02Execute granular multi-dimensional Amazon product searches across target marketplaces
03Format raw API responses into structured, traceable e-commerce decision metrics
04Automate standardized API requests adhering to strict SellerSprite contract schemas
05Screen competitor listings based on fulfillment types (FBA/FBM), brand, and seller badges
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Use Cases
01Discovering high-demand, low-competition Amazon product niches for private label launches
02Tracking competitor pricing, sales volume, and rating performance within specific categories
03Building automated cross-border e-commerce research pipelines and product catalogs