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Connect to live data from Calendly with the API Driver

Connect to Calendly

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Using the CData ODBC Driver for Calendly in PyCharm


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

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 Calendly 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 Calendly 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 Calendly

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.

Start by setting the Profile connection property to the location of the Calendly Profile on disk (e.g. C:\profiles\CalendlyProfile.apip). Next, set the ProfileSettings connection property to the connection string for Calendly (see below).

Calendly API Profile Settings

To authenticate to Calendly, you will need to provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.

Below is the syntax for a DSN:

[CData API Source] Driver = CData ODBC Driver for Calendly Description = My Description Profile = C:\profiles\Calendly.apip ProfileSettings = 'APIKey = your_api_token'

Execute SQL to Calendly

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 API};Profile = C:\profiles\Calendly.apip;ProfileSettings = 'APIKey = your_api_token';') cursor = cnxn.cursor() cursor.execute("SELECT Uri, Name FROM OrganizationScheduledEvents WHERE EventType = 'Meeting'") rows = cursor.fetchall() for row in rows: print(row.Uri, row.Name)

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