Skip to content

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.

Dataset preview · commerce retailReady
Observation 01

Product identity

01

Observation 02

Offer observation

02

Observation 03

Seller context

03

Observation 04

Availability state

04

Field 01
Review record
Field 02
The entities and observations available to shape a commer…

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

Amazon Products Dataset

Bring Amazon products, offers, sellers, availability, ratings, and review context into one analysis-ready collection.

  • Product

  • Variant

  • Offer

  • Seller

View Amazon dataset →

Walmart

Walmart Products Dataset

Connect Walmart catalog, price, seller, fulfilment, rating, and availability records across selected products, categories, and locations.

  • Product

  • Offer

  • Seller

  • Fulfilment option

View Walmart dataset →

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.

How to evaluate the collection

Move from a representative sample to production-ready delivery.

Check the records in the tools and models that will use them, then choose the refresh pattern and file structure your team can run repeatedly.

  1. 01

    Define the data outcome

    Name the entities, markets, fields, history, and business output the collection must support.

  2. 02

    Review source-linked records

    Test identifiers, field meaning, joins, missing states, and source context in a representative sample.

  3. 03

    Set refresh and delivery

    Select the snapshot or recurring schedule, format, partitioning, manifest, and destination.

Build your data brief

Start with sample data for commerce & retail.

Tell us which entities, markets, fields, dates, and destination matter. We will connect those requirements to the most relevant marketplace collection.