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      Powerful server-side solution for collect and connect customer data

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      Create secure customer’s data pipelines to any data warehouses

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      Stories on how to use customer data for company growth

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

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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
Paddle to Amazon S3

ETL Paddle 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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Paddle is a powerful subscription billing platform trusted by SaaS companies worldwide.
Renta Marketing ELT seamlessly moves your Paddle data to Amazon S3, enabling unified analytics and deeper marketing insights.
Enjoy automated, secure data transfers and empower your team to make smarter, data-driven decisions faster.

Set up your ELT pipeline in 3 simple steps

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

Selecting Paddle as the data source in Renta.
1Connect your source

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

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

Renta supports 6 methods of data export using the Paddle API.

List Products

Retrieves a list of products configured in your Paddle account, including product IDs, names, pricing, and subscription details. Useful for catalog management and product analytics.

List Users

Returns detailed information about customers who have purchased or subscribed to your products, such as user IDs, email addresses, and purchase history. Enables user segmentation and lifecycle analysis.

List Subscriptions

Provides comprehensive data on active, canceled, or paused subscriptions, including subscription IDs, status, plan details, and billing cycles. Essential for subscription management and revenue forecasting.

List Transactions

Delivers transaction records for all purchases, renewals, and refunds, including transaction IDs, amounts, currencies, and timestamps. Supports financial reconciliation and reporting.

List Webhooks

Displays configured webhook endpoints and their statuses, allowing you to monitor and manage event-driven integrations with external systems.

Get Checkout Details

Retrieves detailed information about a specific checkout session, including product, pricing, customer, and payment method data. Useful for conversion analysis and troubleshooting.

Use cases

Unlock actionable Paddle insights

  • Sync Paddle transaction data to S3 for unified revenue analytics dashboards
  • Automate Paddle refund event exports to S3 for finance reconciliation
  • Enrich customer profiles by merging Paddle and S3 behavioral data
  • Trigger retention campaigns by analyzing Paddle churn data stored in S3
  • Archive Paddle subscription events in S3 for long-term compliance audits
  • Feed Paddle sales metrics from S3 into BI tools for real-time performance tracking
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Use cases: Paddle and Amazon S3 integration
TEMPLATES

Start quickly with these use case templates

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Google BigQuery

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Google Sheets
Snowflake

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Facebook
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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.

Product
  • 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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  • How to load LinkedIn Ads data into Google BigQuery

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