ETL Paddle data to SQL Server

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

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Paddle is a powerful platform for SaaS payments and subscription management.
Renta Marketing ELT seamlessly transfers your Paddle data to SQL Server, enabling real-time analytics and unified reporting for your marketing and finance teams.
Enjoy automated, secure data syncs that empower data-driven decisions without manual effort.

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.

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 all products configured in your Paddle account, including product IDs, names, and pricing details. Useful for managing and syncing product catalogs.

List Subscriptions

Returns detailed information about active, paused, and canceled subscriptions, including customer data, plan details, billing cycles, and status. Essential for subscription management and analytics.

List Users

Provides access to customer records, including user IDs, contact information, and purchase history. Enables user segmentation and targeted communications.

List Transactions

Fetches a comprehensive list of transactions, such as completed payments, refunds, and chargebacks, with associated metadata like timestamps, amounts, and payment methods.

List Coupons

Retrieves all active and expired coupon codes, including discount values, usage limits, and expiration dates. Supports promotional campaign tracking and validation.

Get Subscription Payments

Returns payment records for a specific subscription, detailing payment dates, amounts, statuses, and related invoice information. Useful for revenue recognition and financial reporting.

Use cases