E-commerce product data

E-commerce product data is structured information about products listed in online stores: what is sold, how it is described, what it costs and whether it is in stock. Brands use it to monitor how retailers present their products, retailers use it to benchmark assortments, and product and AI teams use it to build catalogs, search and recommendation features.

Typical fields

• Product ID, retailer SKU and GTIN, EAN or UPC where published
• Title, brand, category path and attributes such as size, color or material
• Price, list price and promotion flags
• Availability and stock status
• Image URLs, rating count and seller name
• Product URL and crawl timestamp

Sources and collection

Most product datasets are collected by crawling public product pages and retailer feeds, then parsing them into a common schema. The hard part is normalization: mapping each retailer's category tree to one taxonomy and matching the same product across sites. Good providers publish their matching method and match rates.

Delivery and pricing

Expect bulk files (JSON Lines, Parquet or CSV) on a schedule, cloud shares, or an API for on-demand lookups. Price is usually driven by the number of retailers and countries, the number of products tracked, refresh frequency and history depth. Custom crawls of specific sites are often sold as a data service.

Before you buy

• List the retailers and countries you need and confirm each one is covered.
• Ask how products are matched across retailers and what share match by GTIN.
• Check refresh frequency and how out-of-stock or delisted products are handled.
• Confirm collection respects site terms and does not use logins or bypass technical protections.
• Check whether images and descriptions can be used beyond internal analysis.