Yandex Metrica Logs API is a powerful tool for collecting raw web analytics data.
Renta Marketing ELT seamlessly transfers this data to SQL Server, enabling advanced analysis and reporting without manual effort.
Enjoy fast, secure, and automated data integration designed for marketing and analytics teams.
ETL Yandex Metrica Logs API data to SQL Server
Free for 7 days. No credit card required.
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.

Select Yandex Metrica Logs API as your data source and securely authenticate your account to initiate the data extraction process.

Renta supports 6 methods of data export using the Yandex Metrica Logs API API.
management/v1/counter
Retrieves information about available Yandex Metrica counters, including their IDs and configuration details. Essential for identifying which counters can be accessed via the API.
management/v1/logrequests
Manages log export requests, allowing users to create, view, and delete requests for exporting raw hit or visit data from Yandex Metrica.
management/v1/logrequest/<request_id>/fields
Returns a list of available fields for a specific log export request, enabling users to customize the structure and content of exported data.
management/v1/logrequest/<request_id>/parts
Lists the individual parts (data files) generated for a specific log export request, providing download links and status information for each part.
management/v1/logrequest/<request_id>/part/<part_number>/download
Allows users to download a specific part of the exported log data, typically in CSV format, for further processing or analysis.
management/v1/logrequest/<request_id>/status
Provides the current status of a log export request, including progress, completion, or error details, to help monitor data extraction workflows.
Unlock actionable Yandex Metrica Logs API insights
- Sync Yandex Metrica session data to SQL Server for unified customer journey analysis
- Track campaign ROI by merging ad spend and user behavior metrics in SQL reports
- Detect website drop-off points by querying detailed visit logs in SQL Server
- Automate anomaly detection in traffic sources using SQL-based alerting
- Enrich sales dashboards with real-time web engagement metrics from Metrica logs
- Segment high-value leads by combining Metrica events with CRM data in SQL Server

Start quickly with these use case templates
Free for 7 days. No credit card required.
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