Data Marketplace · Commerce & retail
Commerce & Retail Datasets
Track products, prices, sellers, availability, promotions, and reviews in structured records built for pricing, assortment, and digital-shelf analysis.
Compare datasets
Choose a source built around the records you need.
Choose the source that reflects your retail channel, then compare product identity, offer detail, seller context, availability, and review fields.
Amazon Products Dataset
Bring Amazon products, offers, sellers, availability, ratings, and review context into one analysis-ready collection.
- Product
- Variant
- Offer
- Seller
Walmart Products Dataset
Connect Walmart catalog, price, seller, fulfilment, rating, and availability records across selected products, categories, and locations.
- Product
- Offer
- Seller
- Fulfilment option
What the records preserve
Keep the context that makes every value usable.
Product and offer records carry the marketplace, product or variant identity, currency, seller, fulfilment context, and collection time needed for accurate comparison.
- Built forPricing and promotion monitoring
- Built forAssortment and availability analysis
- Built forSeller and marketplace research
How to evaluate the collection
Move from a representative sample to production-ready delivery.
- 01
Define the data outcome
Name the entities, markets, fields, history, and business output the collection must support.
- 02
Review source-linked records
Test identifiers, field meaning, joins, missing states, and source context in a representative sample.
- 03
Set refresh and delivery
Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.
Connected journeys
Put the data to work across your stack.
More data families
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Build your data brief
Start with sample data for commerce & retail.
Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.