Feature | Supported? |
---|---|
Full Refresh Sync | Yes |
Incremental Sync | Yes |
Replicate Incremental Deletes | No |
SSL connection | Yes |
Custom Reports | Yes |
This source is capable of syncing the following tables and their data:
- website_overview
- traffic_sources
- pages
- locations
- monthly_active_users
- four_weekly_active_users
- two_weekly_active_users
- weekly_active_users
- daily_active_users
- devices
- Any custom reports. See below for details.
Please reach out to us on Slack or create an issue if you need to send custom Google Analytics report data with Airbyte.
- Click
OAuth2.0 authorization
thenAuthenticate your Google Analytics account
. - Find your View ID for the view you want to fetch data from. Find it here.
- Enter a start date, and custom report information.
- You're done.
There are 2 options of setting up authorization for this source:
- Create service account specifically for Airbyte and authorize with JWT. Select "JWT authorization" from the "Authentication mechanism" dropdown list.
- Use your Google account and authorize over Google's OAuth on connection setup. Select "Default OAuth2.0 authorization" from dropdown list.
First, need to select or create a project in the Google Developers Console:
- Sign in to the Google Account you are using for Google Analytics as an admin.
- Go to the Service accounts page.
- Click
Create service account
. - 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).
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 Read & Analyze permissions.
- 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.
- Go to the Google Analytics API dashboard in the project for your service user. Enable the API for your account.
You can replicate Google Analytics Custom Reports using this source. To do this, input a JSON object as a string in the "Custom Reports" field when setting up the connector. The JSON is an array of objects where each object has the following schema:
{"name": string, "dimensions": [string], "metrics": [string]}
Here is an example input "Custom Reports" field:
[{"name": "new_users_per_day", "dimensions": ["ga:date","ga:country","ga:region"], "metrics": ["ga:newUsers"]}, {"name": "users_per_city", "dimensions": ["ga:city"], "metrics": ["ga:users"]}]
To create a list of dimensions, you can use default GA dimensions (listed below) or custom dimensions if you have some defined. Each report can contain no more than 7 dimensions, and they must all be unique. The default GA dimensions are:
ga:browser
ga:city
ga:continent
ga:country
ga:date
ga:deviceCategory
ga:hostname
ga:medium
ga:metro
ga:operatingSystem
ga:pagePath
ga:region
ga:socialNetwork
ga:source
ga:subContinent
To create a list of metrics, use a default GA metric (values from the list below) or custom metrics if you have defined them.
A custom report can contain no more than 10 unique metrics. The default available GA metrics are:
ga:14dayUsers
ga:1dayUsers
ga:28dayUsers
ga:30dayUsers
ga:7dayUsers
ga:avgSessionDuration
ga:avgTimeOnPage
ga:bounceRate
ga:entranceRate
ga:entrances
ga:exitRate
ga:exits
ga:newUsers
ga:pageviews
ga:pageviewsPerSession
ga:sessions
ga:sessionsPerUser
ga:uniquePageviews
ga:users
Incremental sync supports only if you add ga:date
dimension to your custom report.
- Number of requests per day per project: 50,000
- Number of requests per view (profile) per day: 10,000 (cannot be increased)
- Number of requests per 100 seconds per project: 2,000
- Number of requests per 100 seconds per user per project: 100 (can be increased in Google API Console to 1,000).
The Google Analytics connector should not run into Google Analytics API limitations under normal usage. Please create an issue if you see any rate limit issues that are not automatically retried successfully.
Google Analytics API may, under certain circumstances, limit the returned data based on sampling. This is done to reduce the amount of data that is returned as described in https://developers.google.com/analytics/devguides/reporting/core/v4/basics#sampling The window_in_day parameter is used to specify the number of days to look back and can be used to avoid sampling. When sampling occurs, a warning is logged to the sync log.
Google Analytics API may return provisional or incomplete data. When this occurs, the returned data will set the fleg isDataGolden to false, and the connector will log a warning to the sync log.
Version | Date | Pull Request | Subject |
---|---|---|---|
0.1.16 | 2022-01-26 | 9480 | Reintroduce window_in_days and log warning when sampling occurs |
0.1.15 | 2021-12-28 | 9165 | Update titles and descriptions |
0.1.14 | 2021-12-09 | 8656 | Fix date-format in schemas |
0.1.13 | 2021-12-09 | 8676 | Fix window_in_days validation issue |
0.1.12 | 2021-12-03 | 8175 | Fix validation of unknown metric(s) or dimension(s) error |
0.1.11 | 2021-11-30 | 8264 | Corrected date range |
0.1.10 | 2021-11-19 | 8087 | Support start_date before the account has any data |
0.1.9 | 2021-10-27 | 7410 | Add check for correct permission for requested view_id |
0.1.8 | 2021-10-13 | 7020 | Add intermediary auth config support |
0.1.7 | 2021-10-07 | 6414 | Declare oauth parameters in google sources |
0.1.6 | 2021-09-27 | 6459 | Update OAuth Spec File |
0.1.3 | 2021-09-21 | 6357 | Fix oauth workflow parameters |
0.1.2 | 2021-09-20 | 6306 | Support of airbyte OAuth initialization flow |
0.1.1 | 2021-08-25 | 5655 | Corrected validation of empty custom report |
0.1.0 | 2021-08-10 | 5290 | Initial Release |