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

Access Twitter Ads data like you would a database - read, write, and update Twitter Ads Accounts, Campaigns, Stats, Tweets, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Twitter Ads in PyCharm


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

All tables require authentication. You must use OAuth to authenticate with Twitter. OAuth requires the authenticating user to interact with Twitter using the browser. For more information, refer to the OAuth section in the Help documentation.

Below is the syntax for a DSN:

[CData TwitterAds Source] Driver = CData ODBC Driver for Twitter Ads Description = My Description

Execute SQL to Twitter 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 TwitterAds};') cursor = cnxn.cursor() cursor.execute("SELECT EntityId, Entity FROM AdStats WHERE Entity = 'ORGANIC_TWEET'") rows = cursor.fetchall() for row in rows: print(row.EntityId, row.Entity)

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