Google Analytics
Marketing Analytics
Sync Google Analytics data anywhere.
- Certified
- Generally available
- 61 streams
- 8 entities
- 61Streams
- 8Entities
- 2Actions
- 50+Destinations
Everything Google Analytics can do in Airbyte
Sync to your warehouse
Land 61 Google Analytics tables in 50+ destinations on a schedule you control.
Context store search
Query synced Google Analytics data with filters, sorting and semantic search, without spending Google Analytics API rate limits.
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
One authorization
Authenticate Google Analytics once. The same connection powers scheduled syncs and runtime actions.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncSupported
- Available onCloud, Self-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version2.10.1
Set up in 12 steps
- Go to the Google Analytics website and log in to your account.
- Click on the Admin button in the bottom left corner of the screen.
- In the Admin section, click on the Account User Management option.
- Click on the + button to add a new user.
- Enter the email address associated with your Airbyte account and select the permissions you want to grant.
- Click on the Add button to save the new user.
- Go to the Airbyte website and navigate to the Sources page.
- Click on the Google Analytics source connector.
- Enter the credentials for your Google Analytics account, including the email address and password associated with the account.
- Click on the Test button to ensure that the connection is working properly.
- If the test is successful, click on the Save button to save the credentials and complete the setup process.
- You can now use the Google Analytics source connector to import data from your Google Analytics account into Airbyte.
Every table you can sync from Google Analytics
Preconfigured streams:
daily_active_users
devices
four_weekly_active_users
locations
pages
traffic_sources
website_overview
weekly_active_users
user_acquisition_first_user_medium_report
user_acquisition_first_user_source_report
user_acquisition_first_user_source_medium_report
Supported Google Analytics actions
List
Read live records straight from the Google Analytics API.
Context Store Search
Query synced data with filters and sorting, with no API rate limits.
Authenticate Google Analytics once
Authenticate via Google (Oauth)
RecommendedService Account Key Authentication
What teams build with Google Analytics
Show me the website overview report
List daily active users
Show weekly active user trends
Get the four-weekly active users report
List traffic sources
Show me page performance metrics
Common questions
Do I need more than one Google Analytics connection?
No. One Google Analytics authorization powers both the scheduled syncs that land data in your destination and the entity actions your agents call at runtime.
Do Google Analytics entity actions need a sync to run first?
No. Entity actions read and write through the Google Analytics API as they are called, so they work immediately. Context store search is the exception: it queries data Airbyte has already synced, which is what lets it filter and sort without spending API rate limits.
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
What data can you extract from Google Analytics?
Google Analytics API provides access to a wide range of data related to website traffic and user behavior. The following are the categories of data that can be accessed through the API:
1. Audience data: This includes information about the demographics, interests, and behavior of website visitors.
2. Acquisition data: This includes data related to how visitors are finding the website, such as through search engines, social media, or referral links.
3. Behavior data: This includes data related to how visitors are interacting with the website, such as which pages they are visiting, how long they are staying on the site, and which actions they are taking.
4. Conversion data: This includes data related to the goals and conversions on the website, such as the number of purchases, form submissions, or other desired actions.
5. E-commerce data: This includes data related to online sales, such as revenue, average order value, and product performance.
6. Real-time data: This includes data related to the current activity on the website, such as the number of active users and the pages they are currently viewing.
Overall, the Google Analytics API provides a wealth of data that can be used to gain insights into website performance and user behavior.
How do I transfer data from Google Analytics?
1. Go to the Google Analytics website and log in to your account.
2. Click on the Admin button in the bottom left corner of the screen.
3. In the Admin section, click on the Account User Management option.
4. Click on the + button to add a new user.
5. Enter the email address associated with your Airbyte account and select the permissions you want to grant.
6. Click on the Add button to save the new user.
7. Go to the Airbyte website and navigate to the Sources page.
8. Click on the Google Analytics source connector.
9. Enter the credentials for your Google Analytics account, including the email address and password associated with the account.
10. Click on the Test button to ensure that the connection is working properly.
11. If the test is successful, click on the Save button to save the credentials and complete the setup process.
12. You can now use the Google Analytics source connector to import data from your Google Analytics account into Airbyte.
What are top ETL tools to transfer data from Google Analytics?
The most prominent ETL tools to transfer data to include: Airbyte, Fivetran, StitchData, Matillion, Talend Data Integration. These tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into and other databases, data warehouses and data lakes, enhancing data management capabilities.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
Related connectors
Start moving Google Analytics data today
Free for 14 days on Airbyte Cloud. One connection powers your scheduled syncs and your live Google Analytics actions.