This notebook contains integration code for Google Analytics 4 (GA4) using Python.
- Python 3.x
- Libraries:
- beautifulsoup4==4.11.1
- cachetools==5.2.0
- certifi==2022.9.24
- charset-normalizer==2.1.1
- google-analytics-data==0.14.2
- google-api-core==2.10.2
- google-auth==2.13.0
- googleapis-common-protos==1.56.4
- grpcio==1.50.0
- grpcio-status==1.50.0
- hvac==1.0.2
- idna==3.4
- proto-plus==1.22.1
- protobuf==4.21.9
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pyhcl==0.4.4
- python-dotenv==0.21.0
- requests==2.28.1
- rsa==4.9
- six==1.16.0
- soupsieve==2.3.2.post1
- urllib3==1.26.12
To install the required libraries, run: !pip install beautifulsoup4==4.11.1 cachetools==5.2.0 certifi==2022.9.24 charset-normalizer==2.1.1 google-analytics-data==0.14.2 google-api-core==2.10.2 google-auth==2.13.0 googleapis-common-protos==1.56.4 grpcio==1.50.0 grpcio-status==1.50.0 hvac==1.0.2 idna==3.4 proto-plus==1.22.1 protobuf==4.21.9 pyasn1==0.4.8 pyasn1-modules==0.2.8 pyhcl==0.4.4 python-dotenv==0.21.0 requests==2.28.1 rsa==4.9 six==1.16.0 soupsieve==2.3.2.post1 urllib3==1.26.12
- Setup Credentials: Replace
[credentials].jsonwith your Google Analytics credentials file. - Setup Base URL: Replace
[BASE_URL]with the base URL of your API endpoint. - Setup GA Property ID: Replace
[GA_PROPERTY_ID]with your Google Analytics property ID. - Run the Notebook: Execute the notebook cell by cell.
This notebook demonstrates how to integrate with the Google Analytics 4 (GA4) API using Python. It provides functions to call API endpoints, fetch data from Google Analytics, and process the results.
- The notebook defines functions to interact with the Google Analytics API.
- It fetches data from the GA4 property using the provided credentials and property ID.
- The fetched data is processed and stored for further analysis.