"""Hello Analytics Reporting API V4.""" import argparse from apiclient.discovery import build import httplib2 from oauth2client import client from oauth2client import file from oauth2client import tools SCOPES = ['https://www.googleapis.com/auth/analytics.readonly'] CLIENT_SECRETS_PATH = 'client_secrets.json' # Path to client_secrets.json file. VIEW_ID = '' def initialize_analyticsreporting(): """Initializes the analyticsreporting service object. Returns: analytics an authorized analyticsreporting service object. """ # Parse command-line arguments. parser = argparse.ArgumentParser( formatter_class=argparse.RawDescriptionHelpFormatter, parents=[tools.argparser]) flags = parser.parse_args([]) # Set up a Flow object to be used if we need to authenticate. flow = client.flow_from_clientsecrets( CLIENT_SECRETS_PATH, scope=SCOPES, message=tools.message_if_missing(CLIENT_SECRETS_PATH)) # Prepare credentials, and authorize HTTP object with them. # If the credentials don't exist or are invalid run through the native client # flow. The Storage object will ensure that if successful the good # credentials will get written back to a file. storage = file.Storage('analyticsreporting.dat') credentials = storage.get() if credentials is None or credentials.invalid: credentials = tools.run_flow(flow, storage, flags) http = credentials.authorize(http=httplib2.Http()) # Build the service object. analytics = build('analyticsreporting', 'v4', http=http) return analytics def get_report(analytics): # Use the Analytics Service Object to query the Analytics Reporting API V4. return analytics.reports().batchGet( body={ 'reportRequests': [ { 'viewId': VIEW_ID, 'dateRanges': [{'startDate': '7daysAgo', 'endDate': 'today'}], 'metrics': [{'expression': 'ga:sessions'}] }] } ).execute() def print_response(response): """Parses and prints the 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', []) rows = report.get('data', {}).get('rows', []) for row in 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(): analytics = initialize_analyticsreporting() response = get_report(analytics) print_response(response) if __name__ == '__main__': main()