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

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

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Using the CData ODBC Driver for Google Ads in PyCharm


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

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 Ads 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 Ads 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 Ads

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, specify the DeveloperToken and ClientCustomerId.

See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Below is the syntax for a DSN:

[CData GoogleAds Source] Driver = CData ODBC Driver for Google Ads Description = My Description DeveloperToken = MyDeveloperToken ClientCustomerId = MyClientCustomerId

Execute SQL to Google Ads

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 GoogleAds};DeveloperToken = MyDeveloperToken;ClientCustomerId = MyClientCustomerId;') cursor = cnxn.cursor() cursor.execute("SELECT Device, Clicks FROM CampaignPerformance WHERE Device = ''Mobile devices with full browsers''") rows = cursor.fetchall() for row in rows: print(row.Device, row.Clicks)

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