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Data Marketplace · Commerce & retail

Amazon Products Dataset

Compare Amazon prices, sellers, stock, and product ranges with a prepared dataset. Review sample records, then choose a snapshot or recurring delivery.

Request Amazon sampleView fields
  • Records Product · Variant · Offer
  • Source Amazon
  • Formats JSON · CSV · Parquet
Amazon product identity, ratings and review context, seller, price, and availability flow into a prepared dataset of product, variant, and offer records

Schema and fields

Build on Amazon records with context attached.

asinstring

Source product identifier

titlestring

Observed product title

brandstring

Displayed brand

pricedecimal

Observed offer value

currencystring

Offer currency

sellerstring

Displayed seller identity

availabilitystring

Observed availability state

captured_attimestamp

Collection time

Freshness and delivery

Keep Amazon data aligned with your analysis cycle.

Use a dated snapshot for catalog analysis or refresh selected products, categories, sellers, and marketplaces on a recurring schedule.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Amazon applications

Put Amazon records to work.

01

Price and offer comparison

Compare displayed prices, sellers, currencies, promotions, and availability within the selected marketplace context.

02

Catalog and assortment research

Map products, variants, brands, categories, and review summaries for the chosen scope.

03

Seller and availability monitoring

Follow seller participation and observed stock states across repeat deliveries.

From sample to production

Test Amazon Products records in your data stack.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Amazon dataset FAQ

Plan the right Amazon Products collection.

What does the Amazon Products Dataset include?

Compare Amazon prices, sellers, stock, and product ranges with a prepared dataset. Review sample records, then choose a snapshot or recurring delivery.

What can I build with Amazon data?

  • Price and offer comparison

  • Catalog and assortment research

  • Seller and availability monitoring

How can the Amazon dataset stay current?

Use a dated snapshot for catalog analysis or refresh selected products, categories, sellers, and marketplaces on a recurring schedule.

When should I use the Amazon API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Amazon data to the wider use case.

Start with real records

Request an Amazon dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.

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