We are proud to share our inclusion in the 2024 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition reflects the differentiated business outcomes CData delivers to our customers.
Get the Report →Using the CData ODBC Driver for Amazon Marketplace in PyCharm
Connect to Amazon Marketplace as an ODBC data source in PyCharm using the CData ODBC Driver for Amazon Marketplace.
The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for Amazon Marketplace from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.
To begin, this tutorial will assume that you have already installed the CData ODBC Driver for Amazon Marketplace as well as PyCharm.
Add Pyodbc to the Project
Follow the steps below to add the pyodbc module to your project.
- Click File -> Settings to open the project settings window.
- Click Project Interpreter from the Project: YourProjectName menu.
- To add pyodbc, click the + button and enter pyodbc.
- Click Install Package to install pyodbc.
Connect to Amazon Marketplace
You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.
To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.
Below is the syntax for a DSN:
[CData AmazonMarketplace Source]
Driver = CData ODBC Driver for Amazon Marketplace
Description = My Description
AWS Access Key Id = myAWSAccessKeyId
AWS Secret Key = myAWSSecretKey
MWS Auth Token = myMWSAuthToken
Seller Id = mySellerId
Marketplace = United States
Execute SQL to Amazon Marketplace
Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.
import pyodbc
cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for AmazonMarketplace};AWS Access Key Id = myAWSAccessKeyId;AWS Secret Key = myAWSSecretKey;MWS Auth Token = myMWSAuthToken;Seller Id = mySellerId;Marketplace = United States;')
cursor = cnxn.cursor()
cursor.execute("SELECT AmazonOrderId, OrderStatus FROM Orders WHERE IsReplacementOrder = 'True'")
rows = cursor.fetchall()
for row in rows:
print(row.AmazonOrderId, row.OrderStatus)
After connecting to Amazon Marketplace in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Amazon Marketplace data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].