Amazon MWS Connector for Python : Get report count via SQL

Learn how to get report count using the Amazon MWS Connector for Python. This connector enables you to read and write Amazon MWS data effortlessly. Integrate, manage, and automate listings, orders, payments, and reports — almost no coding required. We'll walk you through the exact setup.

Let's dive in!

Amazon MWS ODBC Driver Powering this integration

High performance
Bidirectional
Low-code / No-code
Easy to use

Built on the ZappySys API Driver, the Amazon MWS ODBC Driver is a high-performance, low-code / no-code solution. It enables you to connect to Amazon MWS data without any coding right in your SQL Server, or any ODBC/JDBC application. Part of the ODBC PowerPack.

Documentation

⚠️ Deprecation Notice: This connector is deprecated

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.

Create data source using Amazon MWS ODBC Driver

Download and install ODBC PowerPack (if you haven't already).
Search for odbc and open the ODBC Data Sources (64-bit):
Create a User data source (User DSN) based on the ZappySys API Driver driver:

ZappySys API Driver
- Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
- Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this
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

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

Amazon MWS authentication

Please refer to external API reference

API Connection Manager configuration

Just perform these simple steps to finish authentication configuration:

Set Authentication Type to OAuth [OAuth]
Optional step. Modify API Base URL if needed (in most cases default will work).
Fill in all the required parameters and set optional parameters if needed.
Press Generate Token button to generate the tokens.
Finally, hit OK button:

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...

Then go to Preview tab to start building a SQL query.
Once you do that, proceed by opening Query Builder:

ZappySys API Driver - Amazon MWS

Read and write Amazon MWS data effortlessly. Integrate, manage, and automate listings, orders, payments, and reports — almost no coding required.

AmazonMwsDSN
Then simply select the Get Report Count endpoint (action).
Continue by configuring the Required parameters. You can also set optional parameters too.
Move on by hitting Preview Data button to preview the results.

If you see the results you need, simply copy the generated query:

Get Report Count

Required Parameters
AmazonOrderId	Select the value from the dropdown
Optional Parameters
ReportTypeList
Acknowledged
AvailableFromDate
AvailableToDate
Version	2009-01-01

SELECT * FROM GetReportCount
WITH
(
    "AmazonOrderId" = 'abcd-1234-amazonorderid'
)

Click OK to use built SQL query and close the Query Builder.
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

Read and write Amazon MWS data effortlessly. Integrate, manage, and automate listings, orders, payments, and reports — almost no coding required.

AmazonMwsDSN
```
SELECT * FROM GetReportCount
WITH
(
    "AmazonOrderId" = 'abcd-1234-amazonorderid'
)
```
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).

Let's not stop here and explore SQL query examples, including how to use them in Stored Procedures and Views (virtual tables) in the next steps.

Amazon MWS SQL query examples

Use these SQL queries in your Python data source:

Get report count

SELECT * FROM GetReportCount
WITH
(
    "AmazonOrderId" = 'abcd-1234-amazonorderid'
)

Create SQL view in ODBC data source

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

Go to Custom Objects Tab and Click on Add button and Select Add Table:
Enter the desired Table name and click on OK:
And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.
Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
```
SELECT
  "ShipCountry",
  "OrderID",
  "CustomerID",
  "EmployeeID",
  "OrderDate",
  "RequiredDate",
  "ShippedDate",
  "ShipVia",
  "Freight",
  "ShipName",
  "ShipAddress",
  "ShipCity",
  "ShipRegion",
  "ShipPostalCode"
FROM "Orders"
Where "ShipCountry"='USA'
```
That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
```
SELECT * FROM "vt__usa_orders_only"
```

Get report count in Python via SQL view

Use this code snippet to read the data using AmazonMwsDSN data source:

AmazonMwsDSN')
When you run the code it will make the API call and read the data:

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)

Advanced topics

Creating SQL stored procedures

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
Enter the desired Procedure name and click on OK:
Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver. Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
```
CREATE PROCEDURE [usp_get_orders]
    @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
 AS
    SELECT * FROM Orders where OrderDate >= '<@fromdate>';
```
That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
```
Exec usp_get_orders '1996-01-01';
```

Conclusion

And there you have it — a complete guide on how to get report count in Python without writing complex code. All of this was powered by Amazon MWS ODBC Driver, which handled the REST API pagination and authentication for us automatically.

Download the trial now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

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More actions supported by Amazon MWS Connector

Got another use case in mind? We've documented the exact setups for a variety of essential Amazon MWS operations directly in Python, so you can skip the trial and error. Find your next step-by-step guide below: