Use Cases

Curating Product Lists to Specific Criteria 

The primary function of the product database endpoint is to utilize its extensive range of filters for curating tailored lists of products. With many filtering options, as illustrated in the accompanying screenshot, you can refine your search to yield the most relevant results. This fine-tuning ensures that your analysis is as efficient and focused as possible.

Gathering Comprehensive Data for Selected ASINs

Often, detailed analysis requires gathering as much relevant information as possible for a specific set of ASINs. The product database endpoint is ideally suited for this task, offering over 30 data points for each ASIN. This endpoint's key yet underutilized feature is the "includes_keywords" parameter. In addition to keywords, this parameter also allows for inputting a list of ASINs, enabling the retrieval of targeted data for those particular products, which is invaluable for in-depth product analysis.

Identifying Top Products Based on Listing Quality Score

An important metric provided by the product database endpoint is the Listing Quality Score (LQS). This proprietary metric rates products on a scale from 1 to 10, reflecting the overall quality of their listings. A practical application of this endpoint is to filter products that not only meet certain criteria but also boast high LQS. This approach provides benchmarks against products with superior listings. Additionally, the ability to sort results by LQS further streamlines the process of extracting these valuable insights.