Amazon MWS Connector for Azure Data Factory (Pipeline)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 Azure Data Factory (Pipeline) without coding. We will use high-performance Amazon MWS Connector to easily connect to Amazon MWS and then access the data inside Azure Data Factory (Pipeline). Let's follow the steps below to see how we can accomplish that! 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 Azure Data Factory (Pipeline) 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. |
Connect to Amazon MWS in other apps
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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 Azure Data Factory (Pipeline) 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 Azure Data Factory (Pipeline). Perform these steps:
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Download and install ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User data source (User DSN) based on ZappySys API Driver
ZappySys API Driver
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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.
Azure Data Factory (Pipeline) uses a Service Account, when a solution is deployed to production environment, therefore for production environment you have to create and use a System DSN. -
Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
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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:
AmazonmwsDSNAmazon MWS
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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.
Please refer to below API reference (external site) link for OAuth [OAuth]Fill in all required parameters and set optional parameters if needed:
AmazonmwsDSNAmazon MWSOAuth [OAuth]https://mws.amazonservices.comRequired Parameters AWSAccessKeyId Fill-in the parameter... Secret Key Fill-in the parameter... SellerId Fill-in the parameter... 
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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 MWSAmazon 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
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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 Azure Data Factory (Pipeline) 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 datamuch faster . -
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 Azure Data Factory (Pipeline):
ZappySys API Driver - Amazon MWSAmazon 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.AmazonmwsDSNSELECT * FROM Orders
You can also access data quickly from the tables dropdown by selecting <Select table>.AWHEREclause,LIMITkeyword will be performed on the client side, meaning that thewhole 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). -
Click OK to finish creating the data source.
Video Tutorial
Read data in Azure Data Factory (ADF) from ODBC datasource (Amazon MWS)
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To start press New button:
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Select "Azure, Self-Hosted" option:
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Select "Self-Hosted" option:
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Set a name, we will use "OnPremisesRuntime":
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Download and install Microsoft Integration Runtime.
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Launch Integration Runtime and copy/paste Authentication Key from Integration Runtime configuration in Azure Portal:
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After finishing registering the Integration Runtime node, you should see a similar view:
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Go back to Azure Portal and finish adding new Integration Runtime. You should see it was successfully added:
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Go to Linked services section and create a new Linked service based on ODBC:
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Select "ODBC" service:
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Configure new ODBC service. Use the same DSN name we used in the previous step and copy it to Connection string box:
AmazonmwsDSNDSN=AmazonmwsDSN
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For created ODBC service create ODBC-based dataset:
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Go to your pipeline and add Copy data connector into the flow. In Source section use OdbcDataset we created as a source dataset:
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Then go to Sink section and select a destination/sink dataset. In this example we use precreated AzureBlobStorageDataset which saves data into an Azure Blob:
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Finally, run the pipeline and see data being transferred from OdbcDataset to your destination dataset:
Actions supported by Amazon MWS Connector
Learn how to perform common Amazon MWS actions directly in Azure Data Factory (Pipeline) 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
- Make Generic API Request
- Make Generic API Request (Bulk Write)
Conclusion
In this article we showed you how to connect to Amazon MWS in Azure Data Factory (Pipeline) and integrate data without any coding, saving you time and effort.
We encourage you to download Amazon MWS Connector for Azure Data Factory (Pipeline) 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 Azure Data Factory (Pipeline) Documentation
