Amazon MWS Connector for Python Amazon MWS (Marketplace Web Service) Connector can be used to integrated web service API that helps Amazon sellers to programmatically exchange data on listings, orders, payments, reports, and more. In this article you will learn how to quickly and efficiently integrate Amazon MWS data in Python. We will use high-performance Amazon MWS Connector to easily connect to Amazon MWS and then access the data inside Python. Let's follow the steps below to see how we can accomplish that! Download Documentation Amazon's MWS (Marketplace Web Service) is being deprecated and replaced by the newer AWS Selling Partner API (SP-API). For a more robust and secure integration, we recommend using our AWS Selling Partner (SP-API) Connector. As Amazon is phasing out MWS functionality and eventually plans to fully deprecate it. Amazon MWS Connector for Python is based on ZappySys API Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

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Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Amazon MWS using Python we first need to create a DSN (Data Source) which will access data from Amazon MWS. We will later be able to read data using Python. Perform these steps:

1. Download and install ODBC PowerPack.

2. Open ODBC Data Sources (x64):

   

3. Create a User data source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   • Create and use User DSN if the client application is run under a User Account. This is an ideal option in design-time, when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit.
   • Create and use System DSN if the client application is launched under a System Account, e.g. as a Windows Service. Usually, this is an ideal option to use in a production environment. Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Amazon MWS" from the list of Popular Connectors. If "Amazon MWS" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   AmazonmwsDSN

   Amazon MWS

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    OAuth [OAuth]

   Please refer to below API reference (external site) link for OAuth [OAuth]

   https://zappysys.com/links/?url=http://docs.developer.amazonservices.com/en_US/dev_guide/DG_Registering.html

   Fill in all required parameters and set optional parameters if needed:

   AmazonmwsDSN

   Amazon MWS

   OAuth [OAuth]

   https://mws.amazonservices.com

   Required Parameters
   AWSAccessKeyId	Fill-in the parameter...
   Secret Key	Fill-in the parameter...
   SellerId	Fill-in the parameter...

   

6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

   

   ZappySys API Driver - Amazon MWS

   Amazon MWS (Marketplace Web Service) Connector can be used to integrated web service API that helps Amazon sellers to programmatically exchange data on listings, orders, payments, reports, and more.

   AmazonmwsDSN

   

7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Python to retrieve data from Amazon MWS. Hit OK button to use this query in the next step.

   SELECT * FROM Orders

   
   Some parameters configured in this window will be passed to the Amazon MWS API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.

8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Python:

   

   ZappySys API Driver - Amazon MWS

   Amazon MWS (Marketplace Web Service) Connector can be used to integrated web service API that helps Amazon sellers to programmatically exchange data on listings, orders, payments, reports, and more.

   AmazonmwsDSN

   SELECT * FROM Orders

   
   You can also access data quickly from the tables dropdown by selecting <Select table>.
   A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Amazon MWS API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Amazon MWS servers).

9. Click OK to finish creating the data source.

Video Tutorial

Read data in Python

Using ODBC DSN

1. Python code to get the data:
   

   AmazonmwsDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=AmazonmwsDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

Using a full ODBC connection string

If you want to avoid being dependent on a DSN and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Configuration [Version: 2.0.1.10418]

   ZappySys API Driver - Amazon MWS

   Amazon MWS (Marketplace Web Service) Connector can be used to integrated web service API that helps Amazon sellers to programmatically exchange data on listings, orders, payments, reports, and more.

   AmazonmwsDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:

3. Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

How to install `pyodbc` in the Python?

Actions supported by Amazon MWS Connector

Learn how to perform common Amazon MWS actions directly in Python with these how-to guides:

• Get CSV Report By ID - Cached Copy (Previously Generated)
• Get FlatFile Report (Live)
• Get Report Count
• Get Report List (Successful Only)
• Get Report Requests
• Get XML Report (Live)
• Get XML Report By ID - Cached Copy (Previously Generated)
• Orders: Get Single Order Information
• Orders: Read Order Items
• Orders: Read Orders
• Generic Request
• Generic Request (Bulk Write)

Conclusion

In this article we showed you how to connect to Amazon MWS in Python and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys API Driver allows you to connect not only to Amazon MWS, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Amazon MWS Connector for Python and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Amazon MWS Connector for Python Documentation

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