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Data Marketplace · Commerce & retail

Amazon Products Dataset

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

Request Amazon sampleView fields
  • Records Product · Variant · Offer
  • Source Amazon
  • Formats JSON · CSV · Parquet
Dataset preview · amazon productsReady
Observation 01

An illustrative view of how product, variant, offer and c…

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Field 01
An illustrative view of how product, variant, offer and c…
{
  "asin": "B0EXAMPLE42",
  "title": "Illustrative trail shoe",
  "price": 119,
  "currency": "EUR",
  "seller": "Example seller",
  "availability": "in_stock",
  "captured_at": "2026-08-07T09:30:00Z"
}
An illustrative view of how product, variant, offer and collection context arrive together.

Schema and fields

Build on Amazon records with context attached.

Start with product, variant, offer. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

asin string

Source product identifier

title string

Observed product title

brand string

Displayed brand

price decimal

Observed offer value

currency string

Offer currency

seller string

Displayed seller identity

availability string

Observed availability state

captured_at timestamp

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.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Amazon applications

Put Amazon records to work.

Use source-linked, time-stamped records for price and offer comparison, plus catalog and assortment research. Each application starts from the same documented fields and collection context.

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.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  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?

Bring Amazon products, offers, sellers, availability, ratings, and review context into one analysis-ready collection. Core records include product, variant, offer, seller, review summary.

What can I build with Amazon data?

Common applications include price and offer comparison, catalog and assortment research, seller and availability monitoring. Start with the fields and time window required by the business output.

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.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request an Amazon dataset sample.

Tell us which product and variant data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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