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  • Product
    • 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.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Google Sheets to Amazon S3

ETL Google Sheets data to Amazon S3

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Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Google Sheets is a powerful tool for collaborative data management and reporting.
Renta Marketing ELT seamlessly transfers your Google Sheets data to Amazon S3, ensuring fast, secure, and automated updates for analytics and reporting.
Empower your team with reliable data pipelines and unlock deeper marketing insights with minimal effort.

Set up your ELT pipeline in 3 simple steps

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Sheets as the data source in Renta.
1Connect your source

Select Google Sheets as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Sheets as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Google Sheets API

Renta supports 6 methods of data export using the Google Sheets API.

spreadsheets.create

Creates a new spreadsheet, allowing users to define the initial structure, such as sheets and properties. Returns metadata about the newly created spreadsheet.

spreadsheets.get

Retrieves the metadata and structure of a spreadsheet, including sheet names, IDs, and formatting details, but does not include cell values by default.

spreadsheets.values.get

Fetches the values from a specified range of cells within a spreadsheet. Commonly used to extract tabular data for analysis or ETL workflows.

spreadsheets.values.update

Updates cell values in a specified range within a spreadsheet. Supports batch updates and is essential for programmatically modifying data.

spreadsheets.values.append

Appends new rows of data to the end of a specified sheet. Useful for adding incremental data without overwriting existing content.

spreadsheets.batchUpdate

Performs multiple updates to a spreadsheet's structure or formatting in a single request, such as adding sheets, changing properties, or modifying cell formatting.

Use cases

Unlock actionable Google Sheets insights

  • Sync campaign performance data from Google Sheets to S3 for unified analytics
  • Automate backup of sales forecasts from Sheets to S3 for audit compliance
  • Export lead lists from Sheets to S3 to power targeted outreach workflows
  • Aggregate marketing spend data in Sheets and store in S3 for BI dashboards
  • Push real-time inventory updates from Sheets to S3 for e-commerce reporting
  • Archive monthly budget reports from Sheets to S3 for secure, long-term storage
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Use cases: Google Sheets and Amazon S3 integration
TEMPLATES

Start quickly with these use case templates

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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

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  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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