Codice di esempio per l'utilizzo delle Analytics Reporting API v4

ga-read-data.py

"""Hello Analytics Reporting API V4."""

# from apiclient.discovery import build
from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials

SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
KEY_FILE_LOCATION = '<REPLACE_WITH_JSON_FILE>'
VIEW_ID = '<REPLACE_WITH_VIEW_ID>'


def initialize_analyticsreporting():
    """Initializes an Analytics Reporting API V4 service object.

  Returns:
    An authorized Analytics Reporting API V4 service object.
  """
    credentials = ServiceAccountCredentials.from_json_keyfile_name(
        KEY_FILE_LOCATION, SCOPES)

    # Build the service object.
    analytics = build('analyticsreporting', 'v4', credentials=credentials)

    return analytics


def get_report(analytics):
    """Queries the Analytics Reporting API V4.

  Args:
    analytics: An authorized Analytics Reporting API V4 service object.
  Returns:
    The Analytics Reporting API V4 response.
  """
    return analytics.reports().batchGet(
        body={
            'reportRequests': [
                {
                    'viewId': VIEW_ID,
                    'dateRanges': [{'startDate': '7daysAgo', 'endDate': 'today'}],
                    # --- Intervallo temporale interrogazione
                    'metrics': [{'expression': 'ga:sessions'}],  # --- Elenco delle metriche
                    'dimensions': [{'name': 'ga:source'}]  # --- Elenco delle dimensioni
                }]
        }
    ).execute()


def print_response(response):
    """Parses and prints the Analytics Reporting API V4 response.

  Args:
    response: An Analytics Reporting API V4 response.
  """
    for report in response.get('reports', []):
        columnHeader = report.get('columnHeader', {})
        dimensionHeaders = columnHeader.get('dimensions', [])
        metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])

        for row in report.get('data', {}).get('rows', []):
            dimensions = row.get('dimensions', [])
            dateRangeValues = row.get('metrics', [])

            for header, dimension in zip(dimensionHeaders, dimensions):
                print(header + ': ' + dimension)

            for i, values in enumerate(dateRangeValues):
                print('Date range: ' + str(i))
                for metricHeader, value in zip(metricHeaders, values.get('values')):
                    print(metricHeader.get('name') + ': ' + value)


def main():
    # --- Inizializzo comunicazione con Analytics Reporting
    analytics = initialize_analyticsreporting()

    # --- Effettuo la query
    response = get_report(analytics)

    # --- Elaboro la risposta
    print_response(response)


if __name__ == '__main__':
    main()