Structured product data from Amazon best-seller listings - title, current price, star rating, review count, category, best-seller rank, ASIN, image, and product URL. Built for price intelligence, assortment planning, and e-commerce market research.
Monitor competitor pricing across categories and track how best-seller prices move over time.
Find winning products and category trends by ratings, review volume, and best-seller rank.
Benchmark your catalogue against top-selling products to spot gaps and opportunities.
Study how price, ratings, and demand differ across Amazon best-seller categories.
Size and segment e-commerce demand using rank, price, and review signals at scale.
Use structured product attributes and ratings as features for pricing and recommendation models.
Every record is structured and ready to join against your CRM, data warehouse, or enrichment pipeline.
| Field | Type | Description | Coverage |
|---|---|---|---|
| product_name | string | Product title | 100% |
| category | string | Best-seller category | 96%+ |
| product_price | float | Current price | 100% |
| product_rating | float | Average star rating (out of 5) | 100% |
| product_reviews_count | integer | Number of customer reviews | 100% |
| product_page_order | string | Best-seller rank within category | 71%+ |
| product_id | string | Amazon ASIN | 98%+ |
| product_image | string | Product image URL | 100% |
| url | string | Amazon product page URL | 100% |
Coverage = percentage of records with that field populated. Download sample to inspect full schema →
We work around your infrastructure, not the other way around.
Complete records as a bulk file in your preferred format.
Filtered by any field in the schema.
Weekly or monthly delta updates.
Real-time access against specific identifiers.
Delivered in whatever format your pipeline accepts.
Flat file for Excel, Python, or any data tool.
Nested records for databases or pipelines.
Direct drop into your cloud storage or warehouse.
Download a free sample or talk to us about a custom subset for your use case.