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Amazon Product Research Database

nexscope-aibynexscope-ai
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55
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E-commerce Solutions

Filters and analyzes Amazon products across 10 marketplaces using multi-dimensional Jungle Scout metrics including sales volume, BSR, and listing quality.

Amazon Product Research Database provides seamless integration with Jungle Scout's comprehensive catalog through the NexScope API, enabling e-commerce sellers and researchers to discover high-potential products across 10 global Amazon marketplaces. It allows granular multi-condition filtering by category, price, monthly revenue, unit sales, review counts, star ratings, BSR rank, seller fulfillment type (FBA/FBM/AMZ), and Listing Quality Score (LQS). This skill is essential for identifying profitable niches, discovering low-competition blue ocean opportunities, tracking newly launched items, and evaluating fee structures directly within your development and research workflows.

Key Features

01Fulfillment and tier filtering to isolate FBA, FBM, and standard-size products
02Multi-condition filtering by sales volume, revenue, price range, BSR, and review metrics
03Opportunity discovery via Listing Quality Score (LQS) and competitor review analysis
04Support for 10 Amazon marketplaces including US, UK, DE, JP, CA, and more
0555 GitHub stars
06Automated local disk caching and smart token-efficient summary outputs

Use Cases

01Tracking newly launched competitor products and analyzing fee breakdowns for unit economics
02Filtering Amazon categories for standard-size FBA product ideas within specific price thresholds
03Discovering high-margin, low-competition products with strong sales and under 200 reviews