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

Access HubSpot like you would a database - read, write, and update Contacts, Deals, Emails, Companies, etc. through a standard ODBC Driver interface.

Using the CData ODBC Driver for HubSpot in PyCharm



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

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 HubSpot 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 HubSpot 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 HubSpot

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.

HubSpot uses the OAuth authentication standard. You can use the embedded OAuthClientId, OAuthClientSecret, and CallbackURL or you can obtain your own by registering an app.

See the Getting Started chapter of the help documentation for a guide to using OAuth.

Below is the syntax for a DSN:

[CData HubSpot Source] Driver = CData ODBC Driver for HubSpot Description = My Description

Execute SQL to HubSpot

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 HubSpot};') cursor = cnxn.cursor() cursor.execute("SELECT Slug, PageViews FROM Prospects WHERE Region = 'ONTARIO'") rows = cursor.fetchall() for row in rows: print(row.Slug, row.PageViews)

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