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March 13, 2023 04:27
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Python: Fetch Google Analytic 4 data with google-analytics data module
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import os | |
import json | |
from google.analytics.data_v1beta import BetaAnalyticsDataClient | |
from google.analytics.data_v1beta.types import ( | |
DateRange, | |
Dimension, | |
Metric, | |
RunReportRequest, | |
) | |
BASE_DIR = os.path.dirname(os.path.abspath(__file__)) | |
def fetch_report(client, property_id): | |
request = RunReportRequest( | |
property=f"properties/{property_id}", | |
dimensions=[ | |
Dimension(name="city"), | |
Dimension(name="mobileDeviceBranding"), | |
Dimension(name="platform"), | |
Dimension(name="operatingSystem"), | |
Dimension(name="mobileDeviceModel"), | |
], | |
metrics=[Metric(name="activeUsers")], | |
date_ranges=[DateRange(start_date="2023-01-01", end_date="today")], | |
) | |
response = client.run_report(request) | |
print("Report result:") | |
for row in response.rows: | |
print(row.dimension_values) | |
print('-----------------') | |
if __name__ == "__main__": | |
PROPERTY_ID = '292104555' | |
credentials_path = os.path.join(BASE_DIR, 'credentials.json') | |
# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = credentials_path | |
client = BetaAnalyticsDataClient.from_service_account_json(credentials_path) | |
fetch_report(client, PROPERTY_ID) | |
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