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Connect to live data from Printify with the API Driver

Connect to Printify

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Using the CData ODBC Driver for Printify in PyCharm


Connect to Printify as an ODBC data source in PyCharm using the CData ODBC Driver for Printify.

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 Printify 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 Printify as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to Printify

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.

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.

Below is the syntax for a DSN:

[CData API Source] Driver = CData ODBC Driver for Printify Description = My Description Profile = C:\profiles\Printify.apip ProfileSettings = 'APIKey = your_personal_token'

Execute SQL to Printify

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 API};Profile = C:\profiles\Printify.apip;ProfileSettings = 'APIKey = your_personal_token';') cursor = cnxn.cursor() cursor.execute("SELECT Id, ShippingMethod FROM Tags WHERE Status = 'pending'") rows = cursor.fetchall() for row in rows: print(row.Id, row.ShippingMethod)

After connecting to Printify in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Printify data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.