Yandex Metrica
Marketing Analytics
Sync Yandex Metrica data anywhere.
- Standard
- Beta
- 50+Destinations
Everything Yandex Metrica can do in Airbyte
Sync to your warehouse
Land Yandex Metrica data in 50+ destinations on a schedule you control.
Incremental syncs
Pull only the records that changed since the last run instead of reloading everything.
One authorization
Authenticate Yandex Metrica once and Airbyte keeps every scheduled sync running on it.
Cloud or self-hosted
Run the Yandex Metrica connector on Cloud, Self-Managed Enterprise.
Sync capabilities
- Full Refresh SyncSupported
- Incremental SyncSupported
- Available onCloud, Self-Managed Enterprise
- Destinations50+ Airbyte connectors
- Connector version1.0.44
Set up in 9 steps
- First, you need to have a Yandex Metrica account and access to the API key. If you don't have one, you can create it by following the instructions on the Yandex Metrica website.
- Once you have the API key, go to the Airbyte dashboard and click on "Sources" on the left-hand side menu.
- Click on the "Create a new source" button and select "Yandex Metrica" from the list of available connectors.
- Enter a name for your source and click on "Next".
- In the "Connection Configuration" section, enter your Yandex Metrica API key in the "API Key" field.
- Select the desired data range for your source in the "Date Range" field.
- Choose the metrics and dimensions you want to include in your source by selecting them from the dropdown menus in the "Metrics" and "Dimensions" sections.
- Click on "Test" to verify that the connection is working properly.
- If the test is successful, click on "Create" to save your Yandex Metrica source connector on Airbyte.
Authenticate Yandex Metrica once
Authentication Token
Your Yandex Metrica API access token
Common questions
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 Yandex Metrica?
Yandex Metrica's API provides access to a wide range of data related to website and mobile app performance. The types of data that can be accessed through the API can be categorized as follows:
1. User behavior data:
- Pageviews
- Sessions
- Bounce rate
- Time on site
- Clicks
- Goals and conversions
2. Traffic sources data:
- Referral sources
- Search engine traffic
- Direct traffic
- Social media traffic
- Paid traffic
3. Audience data:
- Demographics
- Geolocation
- Device type
- Browser type
- Language
4. Technical data:
- Page load time
- Error messages
- Server response time
- Browser and device compatibility
5. Custom data:
- Custom events
- Custom dimensions
- Custom metrics
Overall, Yandex Metrica's API provides a comprehensive set of data that can be used to analyze and optimize website and mobile app performance.
How do I transfer data from Yandex Metrica?
1. First, you need to have a Yandex Metrica account and access to the API key. If you don't have one, you can create it by following the instructions on the Yandex Metrica website.
2. Once you have the API key, go to the Airbyte dashboard and click on "Sources" on the left-hand side menu.
3. Click on the "Create a new source" button and select "Yandex Metrica" from the list of available connectors.
4. Enter a name for your source and click on "Next".
5. In the "Connection Configuration" section, enter your Yandex Metrica API key in the "API Key" field.
6. Select the desired data range for your source in the "Date Range" field.
7. Choose the metrics and dimensions you want to include in your source by selecting them from the dropdown menus in the "Metrics" and "Dimensions" sections.
8. Click on "Test" to verify that the connection is working properly.
9. If the test is successful, click on "Create" to save your Yandex Metrica source connector on Airbyte.
What are top ETL tools to transfer data from Yandex Metrica?
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.
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Start moving Yandex Metrica data today
Free for 14 days on Airbyte Cloud. Set up the Yandex Metrica connector once and let Airbyte keep it in sync.