Purpose

Describes how to get the number of visits to each page using ReportingAPI + Cloud Functions. Reporting API v4 (google-api-python-client) is used to acquire data from Google Analytics.

environment

google-api-python-client: 1.12.2 oauth2client: 4.1.3

flow

1. Google API Console settings
Google Analytics settings
1. Output Analytics data

1. 1. Google API Console settings

Enable Reporting API v4 from Google API Console . At this time, download the private key and make a note of the email address of the service account.

[email protected]

2. Google Analytics settings

Add the previous email address from Google Analytics [Administration]> [Show User Management]> [Add User] To do.

3. 3. Output Analytics data

Create a function from GCP's Cloud Functions, paste the following source, and you're done

Replace the values of VIEW_ID and KEY_FILE_LOCATION with your own.

`main.py`


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

SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
KEY_FILE_LOCATION = 'Json file path'
VIEW_ID = 'VIEW_ID'

def initialize_analyticsreporting():
    credentials = ServiceAccountCredentials.from_json_keyfile_name(
        KEY_FILE_LOCATION, SCOPES)
    analytics = build('analyticsreporting', 'v4', credentials=credentials)
    return analytics

def get_report(analytics):
    return analytics.reports().batchGet(
        body={
            'reportRequests': [
                {
                    'viewId': VIEW_ID,
                    'dateRanges': [{'startDate': '7daysAgo', 'endDate': 'today'}],
                    'metrics': [{'expression': 'ga:uniquePageviews'}],
                    'dimensions': [{'name': 'ga:pagePath'}]
                }]
        }
    ).execute()

def print_response(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 i, values in enumerate(dateRangeValues):
                for dimension, value in zip(dimensions, values.get('values')):
                    print(dimension + ':' + value)


def main(event, context):
    analytics = initialize_analyticsreporting()
    response = get_report(analytics)
    print_response(response)

`requirements.txt`


google-api-python-client==1.12.2
oauth2client==4.1.3

Impressions

I was new to Python, GCP, and Analytics, so I learned a lot. This time I wanted a ranking function for my blog, so I made it, but how much does the price differ from counting the number of accesses to the Fire Store?: Thinking: It seems better to acquire knowledge of Analytics before doing Reporting API (laugh)

Get the number of visits to each page with ReportingAPI + Cloud Functions