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Use JayDeBeApi to access BigCommerce Data in Python


Use standard Python scripting and the development environment of your choice to access live BigCommerce data.

Access BigCommerce data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for BigCommerce and the JayDeBeApi module to work with remote BigCommerce data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to BigCommerce and visualize BigCommerce data with standard Python.

Use the JayDeBeApi module

JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:

pip install JayDeBeApi

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with BigCommerce data in Python using SQL.

BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

  1. Log in to your BigCommerce account.
  2. From the Home Page, select Advanced Settings > API Accounts.
  3. Click Create API Account.
  4. A text box named API Path will appear on your screen.
  5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
  6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
  7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the BigCommerce JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.bigcommerce.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=GETANDREFRESH"

Access BigCommerce data in Python

With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.bigcommerce.jar" on Windows).

NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.

Use code similar to the follow to read and print data from BigCommerce:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:bigcommerce:OAuthClientId=YourClientId; OAuthClientSecret=YourClientSecret; StoreId='YourStoreID'; CallbackURL='http://localhost:33333'InitiateOAuth=GETANDREFRESH" username = "****" password = "****" #The absolute Path to the JDBC driver JAR file, typically: jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.bigcommerce.jar" conn = jaydebeapi.connect( "cdata.jdbc.bigcommerce.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Customers;") results = cursor.fetchall() for row in results: print(row) cursor.close() conn.close()

Free trial & more information

Download a free, 30-day trial of the CData JDBC Driver for BigCommerce and start working with your live BigCommerce data in Python. Reach out to our Support Team if you have any questions.