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    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

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Renta
Marketing ETL
Yandex Metrica Logs API to Google Cloud Storage

ETL Yandex Metrica Logs API data to Google Cloud Storage

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Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Yandex Metrica Logs API is a powerful tool for collecting raw website analytics data.
Renta Marketing ELT seamlessly transfers your Yandex Metrica logs to Google Cloud Storage, enabling advanced marketing analytics and reporting.
Unlock deeper insights and automate data workflows with reliable, secure, and scalable ETL built for modern data teams.

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.

Selecting Yandex Metrica Logs API as the data source in Renta.
1Connect your source

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

Selecting Yandex Metrica Logs API as the data source in Renta.
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 metadata and configuration details for a specific Yandex Metrica counter, including its ID, name, site URL, and access permissions.

logrequests.get

Returns a list of all log export requests for a given counter, providing details such as request status, date range, and requested fields.

logrequests.create

Creates a new log export request, allowing users to specify the counter, report type (hits, visits, or sessions), date range, and required fields.

logrequests.list

Lists all available log export requests for a counter, including their current processing status and metadata.

logrequest.fields

Returns the list of available fields for export for a specific report type, helping users configure their data extraction.

logrequest.download

Provides access to download the exported log data for a completed request, typically in CSV format, for further analysis or ETL processes.

logrequest.clean

Deletes a completed or obsolete log export request and its associated data, helping manage storage and maintain data hygiene.

Use cases

Unlock actionable Yandex Metrica Logs API insights

  • Aggregate Yandex Metrica logs in GCS for unified multi-channel traffic analysis
  • Automate user behavior trend reports by syncing Metrica logs to Google Cloud Storage
  • Detect anomalies in website traffic by running BigQuery on stored Metrica logs
  • Enrich marketing dashboards with raw session data from Yandex Metrica in GCS
  • Enable granular attribution modeling by merging Metrica logs with ad spend data in GCS
  • Archive detailed visitor logs securely for compliance and long-term analytics in GCS
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Use cases: Yandex Metrica Logs API and Google Cloud Storage integration
TEMPLATES

Start quickly with these use case templates

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