This Python script extracts data from Google Analytics 4 (GA4) using the Google Analytics Data API. It allows for batch report generation with customizable dimensions and metrics. The extracted data is then transformed and output as Pandas DataFrames.

• You can follow the instructions on this page to link your Google service account to Google Analytics 4.

1. Service Account: Place your service account JSON file in the project directory.

2. Update the service account path in the script:

   auth_data = AuthorizationData("YOUR_SERVICE_ACCOUNT.json")

3. Set your GA4 property ID:

   data = ga4.generate_batch_report(auth_data.client, YOUR_PROPERTY_ID, config)

Define the configuration dictionary to specify the dimensions and metrics for the reports. Here is an example configuration:

config = {
    "signal_data": [
        {"dimension": ['date', 'userGender', 'userAgeBracket']},
        {"metric": ['activeUsers']}
    ],
    "active_usr": [
        {"dimension": ['date']},
        {"metric": ['active1DayUsers', 'active7DayUsers', 'active28DayUsers']}
    ]
}