Paddle Data Source

Paddle
Create a New Data Flow
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To create a new data flow, navigate to the Integrate section, and click the New Data Flow button. Then, select the desired flow type from the list, and click the Create button.
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Select the Paddle connector tile from the list of available connectors. Then, select the credential that will be used to connect to the Paddle instance, and click Next; or, create a new Paddle credential for use in this flow.
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In Nexla, Paddle data sources can be created using pre-built endpoint templates, which expedite source setup for common Paddle endpoints. Each template is designed specifically for the corresponding Paddle endpoint, making source configuration easy and efficient.
• To configure this source using a template, follow the instructions in Configure Using a Template.Paddle sources can also be configured manually, allowing you to ingest data from Paddle endpoints not included in the pre-built templates or apply further customizations to exactly suit your needs.
• To configure this source manually, follow the instructions in Configure Manually.
Configure Using a Template
Nexla provides pre-built templates that can be used to rapidly configure data sources to ingest data from common Paddle endpoints. Each template is designed specifically for the corresponding Paddle endpoint, making data source setup easy and efficient.
Endpoint Settings
- Select the endpoint from which this source will fetch data from the Endpoint pulldown menu. Available endpoint templates are listed in the expandable boxes below. Click on an endpoint to see more information about it and how to configure your data source for this endpoint.
Endpoint Testing
Once the selected endpoint template has been configured, Nexla can retrieve a sample of the data that will be fetched according to the current settings. This allows users to verify that the source is configured correctly before saving.
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To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.
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If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.
Configure Manually
Paddle data sources can be manually configured to ingest data from any valid Paddle API endpoint. Manual configuration provides maximum flexibility for accessing endpoints not covered by pre-built templates or when you need custom API configurations.
With manual configuration, you can also create more complex Paddle sources, such as sources that use chained API calls to fetch data from multiple endpoints or that apply custom query parameters to filter results by status, date range, customer, or other criteria supported by the Paddle API.
API Method
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To manually configure this source, select the Advanced tab at the top of the configuration screen.
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Select the API method that will be used for calls to the Paddle API from the Method pulldown menu. Most Paddle data retrieval operations use:
- GET: For retrieving data from the Paddle API (the most common method for data sources)
- POST: For endpoints that require a request body to filter or preview results (for example, pricing preview endpoints)
API Endpoint URL
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Enter the URL of the Paddle API endpoint from which this source will fetch data in the Set API URL field. The base URL depends on the environment configured in your Paddle credential:
- Sandbox:
https://sandbox-api.paddle.com/{endpoint_path} - Production:
https://api.paddle.com/{endpoint_path}
For example, to list all customers in production, enter
https://api.paddle.com/customers. To filter results, you can append query parameters directly to the URL (for example,https://api.paddle.com/transactions?status=completed&per_page=200). - Sandbox:
Ensure the API endpoint URL matches the environment (sandbox or production) configured in your Paddle credential. A mismatch between the credential environment and the URL will result in authentication errors. For a full list of available Paddle endpoints and supported query parameters, see the Paddle API Reference.
Date/Time Macros (API URL)
Optionally, the API URL can be customized using macros—all macros added to the API URL will be converted into values when Nexla executes the API call. Macros are dynamic placeholders that allow you to create flexible API endpoints that can adapt to different time periods or data requirements.
Date/time macros are particularly useful for Paddle endpoints that support date filter query parameters such as billed_at[gte] or created_at[lte] on the transactions or subscriptions endpoints. This enables you to build incremental data pipelines that retrieve only new or updated records on each run, reducing API calls and data volume.
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To add a macro, type
{at the appropriate position in the API URL (within the Set API URL field), and select the desired macro from the dropdown list.{now}– The current datetime{now-1}– The datetime one time unit before the current datetime{now+1}– The datetime one time unit after the current datetimecustom– Datetime macros can reference any number of time units before or after the current datetime—for example, enter(now-4)to indicate the datetime four time units before the current datetime
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Select the format that will be applied to datetime macros from the Date Format for Date/Time Macro pulldown menu. This format will be applied to the base datetime value of the macro—i.e., the value of
{now}in{now-1}. Paddle date filters typically use ISO 8601 format (for example,2024-01-01T00:00:00Z). -
Select the datetime unit that will be used to perform mathematical operations in the included macro(s) from the Time Unit for Operations pulldown menu—for example, for the macro
{now-1}, whenDayis selected,{now-1}will be converted to the datetime one day before the current datetime.
Lookup-Based Macros (API URL)
Column values from existing lookups can also be included as macros in the API URL. Lookup-based macros allow you to reference data from previously configured data sources or lookups, enabling dynamic API endpoints that can adapt based on existing data.
Lookup-based macros are useful when building Paddle data pipelines that require dynamic identifiers—for example, iterating over a list of customer IDs from another data source to retrieve payment methods or subscription details for each customer.
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To include a lookup column value macro, select the relevant lookup from the Add Lookups to Supported Macros pulldown menu.
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Type
{at the appropriate position in the API URL, and select the lookup column-based macro from the dropdown list. Lookup-based macros are automatically populated into the macro list when a lookup is selected in the Add Lookups to Supported Macros pulldown menu.
Path to Data
If only a subset of the data returned by the Paddle API endpoint is needed, you can designate the part(s) of the response that should be included in the Nexset(s) produced from this source by specifying the path to the relevant data within the response. Paddle API responses follow a consistent structure where the primary data payload is nested within a data field, with pagination metadata in a meta field.
For example, when fetching a list of transactions, the Paddle API returns an array of transaction records within a data field, along with pagination details. By specifying the path to the data array, you can configure Nexla to treat each element as a separate record.
For Paddle list endpoints (which return collections), the JSON path is typically $.data[*]. For Paddle single-object endpoints (which return one record), the JSON path is typically $.data.
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To specify which data should be treated as relevant in responses from this source, enter the path to the relevant data in the Set Path to Data in Response field.
- For responses in JSON format enter the JSON path that points to the object or array that should be treated as relevant data. JSON paths use dot notation (for example,
$.data[*]to access all items in the data array, or$.datato access a single data object).
Path to Data Examples:For Paddle list endpoints (such as List transactions, List subscriptions, List products): enter
$.data[*]to treat each item in the array as a separate record.For Paddle single-object endpoints (such as Get a transaction, Get a subscription): enter
$.datato retrieve the single object as one record. - For responses in JSON format enter the JSON path that points to the object or array that should be treated as relevant data. JSON paths use dot notation (for example,
Autogenerate Path Suggestions
Nexla can also autogenerate data path suggestions based on the response from the API endpoint. These suggested paths can be used as-is or modified to exactly suit your needs.
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To use this feature, click the Test button next to the Set API URL field to fetch a sample response from the API endpoint. Suggested data paths generated based on the content & format of the response will be displayed in the Suggestions box below the Set Path to Data in Response field.
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Click on a suggestion to automatically populate the Set Path to Data in Response field with the corresponding path. The populated path can be modified directly within the field if further customization is needed.

Metadata
If metadata is included in the response but is located outside of the defined path to relevant data, you can configure Nexla to include this data as common metadata in each record. Paddle API responses typically include a meta field containing pagination information such as pagination.total, pagination.per_page, and pagination.next, which may be useful to preserve alongside each record for auditing or debugging purposes.
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To specify the location of metadata that should be included with each record, enter the path to the relevant metadata in the Path to Metadata in Response field.
- For responses in JSON format, enter the JSON path to the object or array that contains the metadata. For example, to include Paddle pagination metadata, enter
$.meta.
- For responses in JSON format, enter the JSON path to the object or array that contains the metadata. For example, to include Paddle pagination metadata, enter
Request Headers
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If Nexla should include any additional request headers in API calls to this source, enter the headers & corresponding values as comma-separated pairs in the Request Headers field (for example,
header1:value1,header2:value2). Additional headers may be needed for Paddle API versioning or custom integrations.You do not need to include the
Authorizationheader—this is automatically handled by Nexla using the API key configured in your Paddle credential. The Paddle API does not require aContent-Typeheader for GET requests.
Endpoint Testing
After configuring all settings for the selected endpoint, Nexla can retrieve a sample of the data that will be fetched according to the current configuration. This allows users to verify that the source is configured correctly before saving.
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To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.
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If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.
Save & Activate the Source
- Once all of the relevant steps in the above sections have been completed, click the Create button in the upper right corner of the screen to save and create the new Paddle data source. Nexla will now begin ingesting data from the configured endpoint and will organize any data that it finds into one or more Nexsets.