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The Google Analytics ODBC Driver is a powerful tool that allows you to connect with live data from Google Analytics, directly from any applications that support ODBC connectivity.

Access Google Analytics data like you would a database - access all kinds of real-time site traffic and analysis data through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Google Analytics in PyCharm


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

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 Google Analytics 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 Google Analytics 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 Google Analytics

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.

Google uses the OAuth authentication standard. To access Google APIs on behalf on individual users, you can use the embedded credentials or you can register your own OAuth app.

OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, set Profile to the profile you want to connect to. This can be set to either the Id or website URL for the Profile. If not specified, the first Profile returned will be used.

Below is the syntax for a DSN:

[CData GoogleAnalytics Source] Driver = CData ODBC Driver for Google Analytics Description = My Description Profile = MyProfile

Execute SQL to Google Analytics

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 GoogleAnalytics};Profile = MyProfile;') cursor = cnxn.cursor() cursor.execute("SELECT Browser, Sessions FROM Traffic WHERE Transactions = '0'") rows = cursor.fetchall() for row in rows: print(row.Browser, row.Sessions)

After connecting to Google Analytics in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Google Analytics 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.