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Connect to live data from Printify with the API Driver

Connect to Printify

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Use JayDeBeApi to access Printify Data in Python


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

Access Printify data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData API Driver for JDBC and the JayDeBeApi module to work with remote Printify 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 Printify and visualize Printify 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 Printify data in Python using SQL.

Start by setting the Profile connection property to the location of the Printify Profile on disk (e.g. C:\profiles\Profile.apip). Next, set the ProfileSettings connection property to the connection string for Printify (see below).

Printify API Profile Settings

In order to authenticate to Printify, you'll need to provide your API Key. To get your API Key navigate to My Profile, then Connections. In the Connections section you will be able to generate your Personal Access Token (API Key) and set your Token Access Scopes. Personal Access Tokens are valid for one year. An expired Personal Access Token can be re-generated using the same steps after it expires. Set the API Key to your Personal Access Token in the ProfileSettings property to connect.

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Printify.apip;ProfileSettings='APIKey=your_personal_token';"

Access Printify 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.api.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 Printify:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:api:Profile=C:\profiles\Printify.apip;ProfileSettings='APIKey=your_personal_token';" 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.api.jar" conn = jaydebeapi.connect( "cdata.jdbc.api.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM Tags;") 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 API Driver for JDBC and start working with your live Printify data in Python. Reach out to our Support Team if you have any questions.