How much does it cost to replicate data from Yandex Metrica Logs API to Google Cloud Storage?

The cost depends on the amount of data in your Yandex Metrica Logs API that you want to replicate to Google Cloud Storage. Check out our [pricing page](https://renta.im/pricing/) for more information. You can also [request a demo](https://renta.im/demo/) at any time!

Is there a limit on the amount of pipelines from Yandex Metrica Logs API to Google Cloud Storage?

The amount of data streams you can create is not limited. Moreover, the amount of created integrations does increase the data replication price either.

How much time do I need to create a Yandex Metrica Logs API and Google Cloud Storage integration?

Renta's user-friendly interface allows you to create integrations in less than 5 minutes. All you need to start is your login data to Yandex Metrica Logs API and Google Cloud Storage.

ETL Yandex Metrica Logs API data to Google Cloud Storage

Renta ELT is a simple way to create data pipelines in minutes. Not months.

Trusted by teams at

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.

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