Guidance for Amazon Seller and Vendor Central Data Producer
Overview
How it works
Overview
This architecture uses serverless and managed services to help customers develop efficient and secure applications to integrate with Amazon Seller Central and Amazon Vendor Central. Customers can use this to ingest, process, and gain insights from their Amazon.com data.
Please note: This is the overview architecture. For diagrams highlighting different aspects of this architecture, open the other tabs.

Authentication and Authorization
This architecture shows the registration process with Amazon Seller Central and Amazon Vendor Central. It includes: receiving a refresh token, secure token storage, exchanging for an access token, and using an authorized token to make API calls to the Selling Partner API (SP-API).

Serverless Reports Application
This architecture shows how to create a serverless reports application to automatically ingest, process, and store data obtained from the Amazon Seller Central and Amazon Vendor Central Selling Partner API (SP-API).
Please note: currently, the REPORT_PROCESSING_FINISHED notification type only works for seller applications. Vendor applications will have to use a polling method.

Serverless Catalog Items and Listing Items Applications
This architecture shows how to create a serverless application to integrate with the Catalog Items and Listing Items APIs from the Amazon Seller Central and Amazon Vendor Central Selling Partner API.

Data Storage, Movement, and Insights
This architecture shows how to build a data analytics pipeline using a Modern Data Analytics approach to derive insights from the data.

Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Related content
Ingest Amazon Retail Data into a Serverless Modern Data Architecture
This post provides an overview of a Retail and CPG client application leveraging Amazon Web Services, Inc. (AWS) serverless and managed services, and how to integrate that application with a Modern Data Architecture using SP-APIs.
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