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

Access Facebook Ads data like you would a database - read, write, and update Facebook Ads Comments, Groups, Pages, Insights, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Facebook Ads in PyCharm


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

Most tables require user authentication as well as application authentication. Facebook uses the OAuth authentication standard. To authenticate to Facebook, you can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app with Facebook.

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

Below is the syntax for a DSN:

[CData FacebookAds Source] Driver = CData ODBC Driver for Facebook Ads Description = My Description

Execute SQL to Facebook 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 FacebookAds};') cursor = cnxn.cursor() cursor.execute("SELECT AccountId, Name FROM AdAccounts WHERE Name = 'Acct Name'") rows = cursor.fetchall() for row in rows: print(row.AccountId, row.Name)

After connecting to Facebook Ads in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to Facebook Ads data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].