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

Access Act-On like you would a database - access Campaigns, Programs, Reports, etc. through a standard ODBC Driver interface.

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Using the CData ODBC Driver for Act-On in PyCharm


Connect to Act-On as an ODBC data source in PyCharm using the CData ODBC Driver for Act-On.

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 Act-On 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 Act-On 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 Act-On

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.

ActOn uses the OAuth authentication standard. To authenticate using OAuth, you will need to create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties.

See the Getting Started guide in the CData driver documentation for more information.

Below is the syntax for a DSN:

[CData ActOn Source] Driver = CData ODBC Driver for Act-On Description = My Description

Execute SQL to Act-On

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 ActOn};') cursor = cnxn.cursor() cursor.execute("SELECT Id, Name FROM Images WHERE FolderName = 'New Folder'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Name)

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