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LinkedIn Ads Icon LinkedIn Ads ODBC Driver

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

Access LinkedIn Ads data like you would a database - read, write, and update LinkedIn Ads Analytics, Campaings, Conversion, Forms, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for LinkedIn Ads in PyCharm


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

LinkedIn Ads uses the OAuth authentication standard. OAuth requires the authenticating user to interact with LinkedIn using the browser. See the OAuth section in the Help documentation for a guide.

Below is the syntax for a DSN:

[CData LinkedInAds Source] Driver = CData ODBC Driver for LinkedIn Ads Description = My Description OAuthClientId = MyOAuthClientId OAuthClientSecret = MyOAuthClientSecret CallbackURL = http://localhost:portNumber

Execute SQL to LinkedIn 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 LinkedInAds};OAuthClientId = MyOAuthClientId;OAuthClientSecret = MyOAuthClientSecret;CallbackURL = http://localhost:portNumber;') cursor = cnxn.cursor() cursor.execute("SELECT VisibilityCode, Comment FROM Analytics WHERE EntityId = '238'") rows = cursor.fetchall() for row in rows: print(row.VisibilityCode, row.Comment)

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