Google Analytics Source

Google Analytics is a service for web analytics that tracks and provides data regarding user engagement with your website or application.

Service Account Credential

Service account credentials are more suitable for server-to-server interactions.

Grab Google Service Account Credentials

To obtain API credentials using a GCP service account, follow these steps:

1. Sign in to https://console.cloud.google.com.
2. Create a service account if necessary.
3. Enable the “Google Analytics API” (refer to Google documentation for detailed instructions).
4. Generate credentials:
   • Navigate to IAM & Admin in the console’s left panel, and then select Service Accounts.
   • Find the service account you want to use and click on the three-dot menu under the “Actions” column.
   • Create a new JSON key by selecting “Manage Keys” > “ADD KEY” > “CREATE”.
   • Download the “.json” file containing the necessary credentials for future use.

Share the Google Analytics Property with the API

Note: For service account authentication, use the client_email.

1. Log into your Google Analytics account.
2. Choose the website property you wish to share.
3. In the lower-left corner, click on the “Admin” tab.
4. In the “Account” column, go to “Account Access Management.”
5. Find and click on the blue “+” icon in the top right corner of the screen.
6. Choose “Add users” and enter the email from the service account or OAuth authentication methods. Make sure to grant at least viewer privileges. Ensure to grant at least viewer privileges.
7. Complete the process by clicking “Add” in the top right corner.

Connection Properties

The config section in a YAML file includes the following properties:

Connectorname: Google_analytics
project_id: ID of the project
client_email: Email of the client
private_key: Private key

Example Configuration

For Service Account :

version: 1.0.1
encrypt_credentials: false
direct_target_import: false
union_all_tables: true
add_dbname_column: false
direct_load_to_destination: true
plugins:
 extractors:
   - name: <NAME>
     connectorname: Google Analytics
     config:
       project_id: <PROJECT ID>
       client_email: <CLIENT EMAIL>
       private_key:  <PRIVATE KEY>
       type: Service
     properties:
       property_id: <PROPERTY ID>
       queries: "[{'resource_name':'sample_analytics_data1','dimensions':['browser','city'],'metrics':['totalUsers','transactions']},{'resource_name':'sample_analytics_data2','dimensions':['browser','city','dateHour'],'metrics':['totalUsers']}]"
       start_date: <START DATE>

For OAuth Account :

version: 1.0.1
encrypt_credentials: false
direct_target_import: false
union_all_tables: true
add_dbname_column: false
direct_load_to_destination: true
plugins:
 extractors:
   - name: <NAME>
     connectorname: Google Analytics
     config:
       project_id: <PROJECT ID>
       client_id: <CLIENT ID>
       client_secret: <CLIENT SECRET>
       type: OAuth
     properties:
       property_id: <PROPERTY ID>
       queries: "[{'resource_name':'sample_analytics_data1','dimensions':['browser','city'],'metrics':['totalUsers','transactions']},{'resource_name':'sample_analytics_data2','dimensions':['browser','city','dateHour'],'metrics':['totalUsers']}]"
       start_date: <START DATE>

Configure the Data Hub to connect Google Analytics

OAuth Authentication with Google Analytics

1. Double Click on the connector, which will prompt a Authentication Setup window.

2. Fill the Client ID and Client Secret and click Ok.

3. Click on Allow in the authorization window to accept the scopes requested by Bold DataHub.

4. Update the project ID, client ID and client secret in the template. Also, Update the resources on the properties property and Click Save and choose the desired destination to save the pipeline.

5. Creating a Pipeline in Bold Data Hub automatically creates a Data Source in Bold BI. The Bold BI Data Source is a live data source to the destination database used in Bold Data Hub. For more information on the relationship between Bold Data Hub Pipeline and the associated Data Sources in Bold BI , please refer to [Relationship between Bold Data Hub Pipeline and Associated Data Sources in Bold BI]

(https://help.boldbi.com/working-with-data-sources/working-with-bold-data-hub/relationship-between-bold-data-hub-pipeline-and-associated-data-sources-in-boldbi/)

Service Authentication with Google Analytics

1. To start, Click the Bold Data Hub icon on the Navigation Pane.

2. Click Add Pipeline and provide the name for the new pipeline.

3. Select the newly created pipeline and add the Google Analytics template.

4. Update the project ID, client email and private key secret in the template. Also, Update the resources on the properties property and save it to the BoldBI Data Store.

Warning:

1. The `Encrypt_Credentials` property should be set to false when updating the new access token on the template. If you have modified other properties, such as 'select' or 'account id', the `Encrypt_Credentials` property must be set to true.  
2. The default lifetime of the access token is 1 hour. Therefore, you need to convert it to a long-lived access token in order to use the same token for 60 days. Existing tables should be maintained even if the token has expired or is being used as an invalid token. 

Schedule Data Hub Job

1. To configure interval-based scheduling, click on the schedules tab and select the created pipeline and click on the schedule icon and configure it.

2. For on-demand refresh, click Run Now button.

.

3. The Schedule history can be checked using the history option as well as logs.

4. Click on Logs to see if the run is completed and data source is created in Bold BI.

5. Click Edit DataSource Option to view the created tables.