Amazon Market Product Search
Searches and filters Amazon products across 14 marketplaces using multi-dimensional Sorftime intelligence data and historical snapshots.
Amazon Market Product Search enables deep e-commerce research across 14 international marketplaces by querying Sorftime data with 16 distinct filter types, including ASIN similarity, brand portfolios, BSR rankings, pricing, monthly revenue estimates, and seasonal trends. It supports single-parameter lookups as well as multi-condition AND filtering to pinpoint high-margin or fast-growing products, while offering historical monthly snapshot lookbacks dating back to January 2024 for seasonal and competitive trend analysis.
Características Principales
01Multi-condition search mode combining multiple criteria with AND logic for precise market prospecting
0255 GitHub stars
03Coverage across 14 Amazon marketplaces including US, UK, Germany, Japan, and France
04Detailed product metrics covering BSR, estimated sales revenue, FBA fee breakdowns, ratings, and profit margins
05Historical monthly snapshot lookback from January 2024 to compare seasonal sales, prices, and rankings
0616 distinct query filters including ASIN similarity, category NodeId, brand, seller, ABA keywords, and price ranges
Casos de Uso
01Identifying high-revenue, low-competition Amazon products by filtering on price, rating, and monthly sales volume
02Benchmarking competitor catalogs and seller store portfolios to uncover market opportunities and pricing strategies
03Analyzing historical peak-season pricing and ranking performance to forecast future inventory and campaign demand