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Pinterest Icon Pinterest ODBC Driver

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

Access Pinterest data like you would a database - read, write, and update Pinterest Boards, Followers, Pins, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Pinterest in PyCharm


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

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 Pinterest 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 Pinterest 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 Pinterest

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.

Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

See the Help documentation for other OAuth authentication flows.

Below is the syntax for a DSN:

[CData Pinterest Source] Driver = CData ODBC Driver for Pinterest Description = My Description OAuthClientId = YourClientId OAuthClientSecret = YourClientSecret CallbackURL = 'https://localhost:33333'

Execute SQL to Pinterest

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 Pinterest};OAuthClientId = YourClientId;OAuthClientSecret = YourClientSecret;CallbackURL = 'https://localhost:33333'') cursor = cnxn.cursor() cursor.execute("SELECT Id, Username FROM Users WHERE FirstName = 'Jane'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Username)

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