airbyte/docs/integrations/sources/google-analytics-v4.md

Google Analytics 4 (GA4)

This page guides you through the process of setting up the Google Analytics source connector.

This connector supports GA4 properties through the Analytics Data API v1.

Prerequisites

• JSON credentials for the service account that has access to Google Analytics. For more details check instructions
• OAuth 2.0 credentials for the service account that has access to Google Analytics
• Property ID
• Start Date
• Custom Reports (Optional)
• Data request time increment in days (Optional)

Step 1: Set up Source

Create a Service Account

First, you need to select existing or create a new project in the Google Developers Console:

1. Sign in to the Google Account you are using for Google Analytics as an admin.
2. Go to the Service Accounts page.
3. Click Create service account.
4. Create a JSON key file for the service user. The contents of this file will be provided as the credentials_json in the UI when authorizing GA after you grant permissions (see below).

Add service account to the Google Analytics account

Use the service account email address to add a user to the Google analytics view you want to access via the API. You will need to grant Viewer permissions.

Enable the APIs

1. Go to the Google Analytics Reporting API dashboard in the project for your service user. Enable the API for your account. You can set quotas and check usage.
2. Go to the Google Analytics API dashboard in the project for your service user. Enable the API for your account.

Property ID

To determine a Google Analytics 4 Property ID

Step 2: Set up the Google Analytics connector in Airbyte

For Airbyte Cloud:

1. Login to your Airbyte Cloud account.
2. In the left navigation bar, click Sources. In the top-right corner, click + new source.
3. On the source setup page, select Google Analytics 4 (GA4) from the Source type dropdown and enter a name for this connector.
4. Click Authenticate your account by selecting Oauth or Service Account for Authentication.
5. Log in and Authorize the Google Analytics account.
6. Enter the Property ID whose events are tracked.
7. Enter the Start Date from which to replicate report data in the format YYYY-MM-DD.
8. Enter the Custom Reports (Optional) a JSON array describing the custom reports you want to sync from Google Analytics.
9. Enter the Data request time increment in days (Optional). The bigger this value is, the faster the sync will be, but the more likely that sampling will be applied to your data, potentially causing inaccuracies in the returned results. We recommend setting this to 1 unless you have a hard requirement to make the sync faster at the expense of accuracy. The minimum allowed value for this field is 1, and the maximum is 364.

Supported sync modes

The Google Analytics source connector supports the following sync modes:

• Full Refresh - Overwrite
• Full Refresh - Append
• Incremental - Append
• Incremental - Deduped History

Supported Streams

This connector outputs the following incremental streams:

• daily_active_users
• devices
• four_weekly_active_users
• locations
• pages
• traffic_sources
• website_overview
• weekly_active_users

Custom reports

• Support for multiple custom reports
• Custom reports in format [{"name": "<report-name>", "dimensions": ["<dimension-name>", ...], "metrics": ["<metric-name>", ...]}]
• Custom report format when using segments and / or filters [{"name": "<report-name>", "dimensions": ["<dimension-name>", ...], "metrics": ["<metric-name>", ...], "segments": ["<segment-id-or-dynamic-segment-v3-format]", filter: "<filter-definition-v3-format>"}]
• When using segments, make sure you add the ga:segment dimension.
• Custom reports: Dimensions and metrics explorer

Rate Limits & Performance Considerations (Airbyte Open-Source)

Google Analytics Data API

• Number of requests per day per project: 50,000

Reports

The reports are custom by setting the dimensions and metrics required. To support Incremental sync, the date dimension is added by default to all reports. There are 8 default reports. To add more reports, you need to specify the custom reports field.

Changelog

Version	Date	Pull Request	Subject
0.1.1	2023-01-10	21169	Slicer updated, unit tests added
0.1.0	2023-01-08	20889	Improved config validation, SAT
0.0.3	2022-08-15	15229	Source Google Analytics Data Api: code refactoring
0.0.2	2022-07-27	15087	fix documentationUrl
0.0.1	2022-05-09	12701	Introduce Google Analytics Data API source