Connecting to Google Analytics

Establishing a Connection shows how to authenticate to Google Analytics and configure any necessary connection properties. You can also configure cmdlet capabilities through the available Connection properties, from data modeling to firewall traversal. The Advanced Settings section shows how to set up more advanced configurations and troubleshoot connection errors.

Connecting from PowerShell

The CData Cmdlets PowerShell Module for Google Analytics provides a familiar way to interact with Google Analytics from PowerShell. The cmdlets provide a standard PowerShell interface and an SQL interface to live data. The CData cmdlets enable you to work with Google Analytics using standard PowerShell objects; you can chain the cmdlets to each other or other cmdlets in pipelines. The cmdlets also support PowerShell debug streams.

Data Manipulation with Cmdlets

See Establishing a Connection to learn how to get started with the Connect-GAnalytics cmdlet. You can then pass the GAnalyticsConnection object returned to other cmdlets for accessing data:

• Select-GAnalytics

Executing SQL from PowerShell

You can execute any SQL query with the Invoke-GAnalytics cmdlet.

Accessing Debug Output from Streams

See Capturing Errors and Logging to obtain the debug output through PowerShell streams.

PowerShell Version Support

The standard cmdlets are supported in PowerShell 2, 3, 4, and 5.

Google Analytics Version Support

The cmdlet supports Google Analytics 4 APIs. The cmdlet provides a relational view of the Google Analytics profiles in your Google account or across your Google Apps domain. The cmdlet includes tables that contain often-used dimensions and metrics as columns; additionally, you can customize the table schemas or write your own to combine any valid set of dimensions and metrics. The cmdlet exposes the columns available through the Data API (Google Analytics 4) and the Admin API (Google Analytics 4). You must enable these APIs by creating a project in the Google Developers Console. See "Connecting to Google Analytics" for a guide to creating a project and authenticating to the APIs.