Marketplace Guides

How to Use Amazon Data in E-commerce

Learn how to use Amazon product data in e-commerce, import and update products, build catalogs, and integrate Amazon with other marketplaces via Setalabs.

Setalabs Team
How to Use Amazon Data in E-commerce

Amazon is one of the largest sources of product data for e-commerce. Its catalog can be useful not only for sellers operating directly on Amazon, but also for online stores, product search and comparison services, product import solutions, and other e-commerce platforms.

When working with a large assortment, transferring product information manually is impractical. APIs make it possible to retrieve and process this data automatically.

How E-commerce Projects Use Amazon Data

One of the most common use cases is importing products into an online store.

Instead of manually copying product information, a system can retrieve the required data programmatically and use it to create its own product pages:

Amazon → API → Data Processing → Product Page → Store Catalog

Depending on the available data source and API method, product data may include:

  • title and description;

  • images;

  • brand and category;

  • product attributes;

  • product identifiers;

  • variants;

  • prices and offers;

  • availability information.

The retrieved data does not have to be displayed exactly as it appears on Amazon. It can be transformed to match the structure of an internal catalog: fields can be selected or reorganized, categories can be mapped, attributes can be normalized, and products can be linked to internal identifiers.

Product Import vs. Real-Time Search

There are two main approaches to working with an external product catalog.

Product import. Product data is retrieved and stored in the online store's database. The store then works with its own copy of the product information and periodically synchronizes it with the source.

This model works well when the store owner selects and manages a specific assortment.

On-demand data retrieval. A customer searches for a product, and the system requests results from an external source in real time. A selected product can then be imported into the internal catalog if necessary.

This approach makes it possible to work with a large assortment without storing millions of products in advance.

The two models can also be combined: search can be performed against an external catalog, while selected or frequently requested products are stored locally.

Why Product Data Needs to Be Synchronized

Amazon product information can change over time. Offers, prices, availability, and other data may be updated.

For this reason, a complete integration usually includes at least two processes:

Import — retrieving and storing product data for the first time.

Update — retrieving the data again and updating previously stored information.

Different types of data may require different update frequencies. Product attributes, for example, usually change less frequently than prices or offer availability.

Separating these processes can reduce unnecessary API requests and avoid repeatedly updating data that rarely changes.

What APIs Does Amazon Provide?

Amazon provides different APIs for different use cases.

One of the main solutions is the Selling Partner API (SP-API). It is designed for developers building applications for Amazon sellers and vendors and includes APIs for working with catalog data, listings, pricing, orders, reports, fulfillment, and other operations.

For example, Catalog Items API is used to work with Amazon catalog information, Listings Items API deals with seller listings, and Orders API provides access to order-related functionality.

Therefore, “Amazon API” does not refer to a single universal endpoint. It is a collection of APIs designed for different tasks.

Direct integration with SP-API requires developers to register an application, configure authorization and appropriate roles, implement the required API requests, and comply with Amazon's usage and rate limits.

When Amazon Is Not the Only Data Source

For many e-commerce projects, Amazon is only one source of product data.

For example, an online store may eventually work with:

Amazon + eBay + AliExpress + Alibaba + Taobao + 1688

With direct integrations, every additional marketplace becomes a separate development project. Authentication mechanisms, API methods, response structures, categories, product identifiers, rate limits, and data formats can all differ.

As the number of sources grows, the application has to maintain multiple independent mechanisms for retrieving and transforming marketplace data.

For this reason, multi-marketplace projects can benefit from a separate integration layer:

Marketplaces → Data Retrieval and Normalization → Internal Catalog → Online Store or Application

This architecture reduces the dependency of the application's business logic on the technical specifics of each marketplace.

Amazon API Integration with Setalabs

Setalabs provides API access to data from Amazon and other supported marketplaces.

A project can use Amazon alongside Taobao, 1688, Alibaba, AliExpress, eBay, JD, Poizon, and other sources without building separate integration infrastructure for every marketplace.

Setalabs APIs can be used for scenarios such as:

  • product import;

  • retrieving information about specific products;

  • catalog search;

  • building and expanding an online store catalog;

  • updating product data;

  • creating multi-marketplace e-commerce services.

The application remains independent from a particular data source: retrieved information can be stored, transformed, and used according to the project's own architecture.

Which Integration Approach Should You Choose?

Amazon's official SP-API and Setalabs APIs are designed for different scenarios.

If a company needs to manage its own Amazon seller operations — such as orders, listings, reports, or other seller account functionality — the appropriate official Amazon APIs are the natural choice.

If the primary goal is retrieving product data, importing products, building catalogs, or connecting multiple marketplaces, Setalabs can serve as a unified integration layer.

This approach is especially useful for projects designed to scale. A store may start with Amazon and later add other product sources without rebuilding its entire integration architecture for every new marketplace.