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How to load data from Amazon Seller Partner to Kafka

Learn how to use Airbyte to synchronize your Amazon Seller Partner data into Kafka within minutes.

TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

  1. set up Amazon Seller Partner as a source connector (using Auth, or usually an API key)
  2. set up Kafka as a destination connector
  3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Amazon Seller Partner

Amazon Selling Partner’s API (SP-API) is a much-improved iteration of Amazon Marketplace Web Service (Amazon MWS) APIs. This next generation suite offers increased automation functionality, with many new features including state-of-the-art JSON-based REST API design standards and 0Auth2.0 selling partner authorization using Login with Amazon. With this generation of updates, Amazon Selling Partners continues to deliver reliable programmatic access to essential Amazon features, in the same tradition their customers have come to expect for over 10 years.

What is Kafka

A communication solutions agency, Kafka is a cloud-based / on-prem distributed system offering social media services, public relations, and events. For event streaming, three main functionalities are available: the ability to (1) subscribe to (read) and publish (write) streams of events, (2) store streams of events indefinitely, durably, and reliably, and (3) process streams of events in either real-time or retrospectively. Kafka offers these capabilities in a secure, highly scalable, and elastic manner.

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Prerequisites

  1. A Amazon Seller Partner account to transfer your customer data automatically from.
  2. A Kafka account.
  3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Amazon Seller Partner and Kafka, for seamless data migration.

When using Airbyte to move data from Amazon Seller Partner to Kafka, it extracts data from Amazon Seller Partner using the source connector, converts it into a format Kafka can ingest using the provided schema, and then loads it into Kafka via the destination connector. This allows businesses to leverage their Amazon Seller Partner data for advanced analytics and insights within Kafka, simplifying the ETL process and saving significant time and resources.

Step 1: Set up Amazon Seller Partner as a source connector

1. Open the Airbyte platform and navigate to the "Sources" tab on the left-hand side of the screen.

2. Click on the "Amazon Seller Partner" source connector and select "Create new connection."

3. Enter a name for your connection and click "Next."

4. Enter your Amazon Seller Partner credentials, including your Seller ID, MWS Auth Token, and Marketplace ID.

5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Amazon Seller Partner account.

6. Once the test is successful, click "Save" to save your connection.

7. You can now select your Amazon Seller Partner connection from the list of sources and configure your sync settings, including selecting the tables you want to sync and setting up any filters or transformations.

8. Once you have configured your sync settings, click "Save" to save your configuration.

9. You can now run your sync manually or schedule it to run automatically at regular intervals.

Step 2: Set up Kafka as a destination connector

1. First, you need to have an Apache Kafka destination connector installed on your system. If you don't have it, you can download it from the Apache Kafka website.  
2. Once you have the Apache Kafka destination connector installed, you need to create a new connection in Airbyte. To do this, go to the Connections tab and click on the "New Connection" button.  3. In the "New Connection" window, select "Apache Kafka" as the destination connector and enter the required connection details, such as the Kafka broker URL, topic name, and authentication credentials.  
4. After entering the connection details, click on the "Test Connection" button to ensure that the connection is working properly.  
5. If the connection test is successful, click on the "Save" button to save the connection.  
6. Once the connection is saved, you can create a new pipeline in Airbyte and select the Apache Kafka destination connector as the destination for your data.  
7. In the pipeline configuration, select the connection you created in step 3 as the destination connection.  
8. Configure the pipeline to map the source data to the appropriate Kafka topic and fields.  
9. Once the pipeline is configured, you can run it to start sending data to your Apache Kafka destination.

Step 3: Set up a connection to sync your Amazon Seller Partner data to Kafka

Once you've successfully connected Amazon Seller Partner as a data source and Kafka as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

  1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
  2. Choose your source: Select Amazon Seller Partner from the dropdown list of your configured sources.
  3. Select your destination: Choose Kafka from the dropdown list of your configured destinations.
  4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
  5. Select the data to sync: Choose the specific Amazon Seller Partner objects you want to import data from towards Kafka. You can sync all data or select specific tables and fields.
  6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
  7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
  8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Amazon Seller Partner to Kafka according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Kafka data warehouse is always up-to-date with your Amazon Seller Partner data.

Use Cases to transfer your Amazon Seller Partner data to Kafka

Integrating data from Amazon Seller Partner to Kafka provides several benefits. Here are a few use cases:

  1. Advanced Analytics: Kafka’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Amazon Seller Partner data, extracting insights that wouldn't be possible within Amazon Seller Partner alone.
  2. Data Consolidation: If you're using multiple other sources along with Amazon Seller Partner, syncing to Kafka allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
  3. Historical Data Analysis: Amazon Seller Partner has limits on historical data. Syncing data to Kafka allows for long-term data retention and analysis of historical trends over time.
  4. Data Security and Compliance: Kafka provides robust data security features. Syncing Amazon Seller Partner data to Kafka ensures your data is secured and allows for advanced data governance and compliance management.
  5. Scalability: Kafka can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Amazon Seller Partner data.
  6. Data Science and Machine Learning: By having Amazon Seller Partner data in Kafka, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
  7. Reporting and Visualization: While Amazon Seller Partner provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Kafka, providing more advanced business intelligence options. If you have a Amazon Seller Partner table that needs to be converted to a Kafka table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

  1. Configure a Amazon Seller Partner account as an Airbyte data source connector.
  2. Configure Kafka as a data destination connector.
  3. Create an Airbyte data pipeline that will automatically be moving data directly from Amazon Seller Partner to Kafka after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

flag icon
Easily address your data movement needs with Airbyte Cloud
Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
Get started with Airbyte for free
high five icon
Talk to a data infrastructure expert
Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
Talk to sales
stars sparkling
Improve your data infrastructure knowledge
Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
Subscribe to newsletter

Frequently Asked Questions

What data can you extract from Amazon Seller Partner?

Amazon Seller Partner's API provides access to a wide range of data related to Amazon seller accounts. The API allows developers to retrieve data related to orders, products, inventory, and pricing. Here are the categories of data that the API provides access to:  

1. Orders: The API provides access to order details such as order ID, order status, shipping address, payment information, and order items.  

2. Products: The API provides access to product details such as product ID, product title, product description, product images, and product variations.  

3. Inventory: The API provides access to inventory details such as inventory levels, inventory status, and inventory updates.  

4. Pricing: The API provides access to pricing details such as product prices, discounts, and promotions.  

5. Fulfillment: The API provides access to fulfillment details such as shipment tracking information, shipping labels, and fulfillment status.  

6. Reports: The API provides access to various reports such as sales reports, inventory reports, and financial reports.  

Overall, the Amazon Seller Partner's API provides a comprehensive set of data that can help sellers manage their Amazon business more effectively.

What data can you transfer to Kafka?

You can transfer a wide variety of data to Kafka. This usually includes structured, semi-structured, and unstructured data like transaction records, log files, JSON data, CSV files, and more, allowing robust, scalable data integration and analysis.

What are top ETL tools to transfer data from Amazon Seller Partner to Kafka?

The most prominent ETL tools to transfer data from Amazon Seller Partner to Kafka include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • Talend Data Integration

These tools help in extracting data from Amazon Seller Partner and various sources (APIs, databases, and more), transforming it efficiently, and loading it into Kafka and other databases, data warehouses and data lakes, enhancing data management capabilities.