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

Read, write, and update online sheets through a standard ODBC interface.

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Using the CData ODBC Driver for Google Sheets in PyCharm


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

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 Sheets 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 Sheets 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 Sheets

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.

You can connect to a spreadsheet by providing authentication to Google and then setting the Spreadsheet connection property to the name or feed link of the spreadsheet. If you want to view a list of information about the spreadsheets in your Google Drive, execute a query to the Spreadsheets view after you authenticate.

ClientLogin (username/password authentication) has been officially deprecated since April 20, 2012 and is now no longer available. Instead, use the OAuth 2.0 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.

See the Getting Started chapter in the help documentation to connect to Google Sheets from different types of accounts: Google accounts, Google Apps accounts, and accounts using two-step verification.

Below is the syntax for a DSN:

[CData GoogleSheets Source] Driver = CData ODBC Driver for Google Sheets Description = My Description Spreadsheet = MySheet

Execute SQL to Google Sheets

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 GoogleSheets};Spreadsheet = MySheet;') cursor = cnxn.cursor() cursor.execute("SELECT Shipcountry, OrderPrice FROM Orders WHERE ShipCity = 'Madrid'") rows = cursor.fetchall() for row in rows: print(row.Shipcountry, row.OrderPrice)

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