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Using the CData ODBC Driver for YouTube Analytics in PyCharm

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

YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

Below is the syntax for a DSN:

[CData YouTubeAnalytics Source] Driver = CData ODBC Driver for YouTube Analytics Description = My Description ContentOwnerId = MyContentOwnerId ChannelId = MyChannelId

Execute SQL to YouTube 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 YouTubeAnalytics};ContentOwnerId = MyContentOwnerId;ChannelId = MyChannelId;') cursor = cnxn.cursor() cursor.execute("SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups WHERE Mine = 'True'") rows = cursor.fetchall() for row in rows: print(row.Snippet_Title, row.ContentDetails_ItemCount)

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