To implement the GA4 analytics API in Python, you will need to follow these steps:
Create a Google Cloud project and enable the Google Analytics API.
Install the Google API Client Library for Python using the pip package manager.
Create credentials for your project using the Google API Console.
Authenticate your application using the credentials.
Use the Google Analytics Data API to send a request for data based on your requirements.
Parse the response and use the data as needed.
Here is an example code snippet that demonstrates how to retrieve data from the GA4 analytics API in Python:
from google.oauth2.service_account import Credentials
from googleapiclient.errors import HttpError
from googleapiclient.discovery import build
import json
# Set the ID of the Google Analytics 4 property.
GA4_PROPERTY_ID = 'YOUR-GA4-PROPERTY-ID'
# Set the date range for the report.
DATE_RANGE = {
"start_date": "2021-01-01",
"end_date": "2021-08-31"
}
# Set the API scope and service name.
API_NAME = 'analyticsdata'
API_VERSION = 'v1alpha'
# Load the credentials from the JSON file.
creds = Credentials.from_service_account_file('service_account.json')
# Create a service object for the Google Analytics Data API.
service = build(API_NAME, API_VERSION, credentials=creds)
# Define the request body for the report.
request_body = {
"entity": {
"property_id": GA4_PROPERTY_ID
},
"dimensions": [
{
"name": "date"
}
],
"metrics": [
{
"name": "active_users"
},
{
"name": "new_users"
}
],
"date_ranges": [
DATE_RANGE
]
}
try:
# Send the request to the API and receive the response.
response = service.run_report(body=request_body)
print(json.dumps(response, indent=4, sort_keys=True))
except HttpError as error:
print(f'An error occurred: {error}')
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Asked: 2023-06-09 03:29:42 +0000
Seen: 18 times
Last updated: Jun 09 '23
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