Yandex Metrica Logs API is a powerful tool for accessing raw, event-level web analytics data.
Renta Marketing ELT seamlessly transfers this data to Google BigQuery, enabling advanced marketing analytics and real-time reporting.
Enjoy effortless data integration, robust security, and full control over your analytics pipeline.
ETL Yandex Metrica Logs API data to Google BigQuery
Free for 7 days. No credit card required.
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Set up your ELT pipeline in 3 simple steps
Select Yandex Metrica Logs API as your data source and securely authenticate your account to initiate the data extraction process.
1Connect your source
Select Yandex Metrica Logs API as your data source and securely authenticate your account to initiate the data extraction process.
2Identify the destination
3Configure and synchronize
The data structure of the Yandex Metrica Logs API API
Renta supports 7 methods of data export using the Yandex Metrica Logs API API.
counter.get
Retrieves a list of available Yandex Metrica counters (web properties) accessible to the authenticated user, including their IDs and basic metadata.
logrequests.get
Returns a list of all log export requests previously created by the user, along with their statuses, time ranges, and associated counters.
logrequests.create
Initiates a new export request for raw, session-level or hit-level data from a specified counter, allowing users to define the time period, fields, and data type.
logrequests.info
Provides detailed information about a specific log export request, including its status, parameters, and available data parts.
logrequests.parts
Lists the downloadable parts (files) generated by a completed log export request, including their sizes and download URLs.
logrequests.download
Enables downloading of individual data parts from a completed log export request, delivering raw event or session data in TSV format.
logrequests.clean
Deletes a specified log export request and its associated data files from the Yandex Metrica storage, helping manage storage quotas and data lifecycle.
Use cases
Unlock actionable Yandex Metrica Logs API insights
- Track user journey across devices by merging Yandex Metrica logs with CRM data in BigQuery
- Identify high-converting traffic sources by analyzing session logs alongside ad spend data
- Detect website performance issues by correlating slow page loads with user drop-offs in BigQuery
- Build custom attribution models by blending Yandex Metrica logs with sales pipeline metrics
- Segment audiences for retargeting by filtering behavioral events in BigQuery
- Automate anomaly detection in user behavior by running SQL queries on raw Metrica logs
TEMPLATES
Start quickly with these use case templates
Frequently asked questions
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