Stripe

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Stripe is an online payment processing platform that provides businesses with the tools to accept payments over the internet. It offers a range of services, from payment gateway and subscription billing to fraud prevention and international expansion, making it a comprehensive solution for e-commerce and online businesses.

Refer to our website for the list of metrics and attributes available in Dataddo.

Refer to Stripe's official documentation to see all available endpoints from the Stripe API.

Authorize Connection to Stripe

In Stripe

To authorize your Stripe account, you will need a secret key.

  1. In your Stripe account, navigate to the API keys page.
  2. Click on Create secret key and copy the value.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Stripe.
  2. Fill in the API Secret key.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a Stripe Data Source

  1. On the Sources page, click on the Create Source button.
  2. Select the connector from the list and name your data source.
  3. On the Dataset step, select your dataset.
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    If you're unsure which dataset to select, use the search bar to look for datasets with the desired attributes or metrics.

  4. On the Account step select your authorizer from the drop-down menu.
    Didn't find your authorizer?

    Click on Add new Account at the bottom of the drop-down and follow the on-screen prompts. You can also go to the Authorizers tab and click on Add New Service.

  5. On the Attributes and Metrics step, select the metrics and attributes you want to extract.
    Create a source using a custom-schema connector.
  6. On the Metadata step, select which metadata fields such as extraction time to add to your data.
  7. On the Snapshot step:
    1. Configure your sync frequency or click Show advanced settings to set the exact synchronization time.
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      To load historical data, refer to the Data Backfilling article.

    2. [Optional] Enable the Allow Empty Data Extractions toggle to allow the extraction when no data is available.
  8. In the top-right corner, click Test Data button to preview extracted data. Adjust the date range for specific time frame.
  9. Click on Save and congratulations, your new data source is ready!

Troubleshooting

Data Preview Unavailable

No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:

  • Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
  • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.

Related Articles

Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.

Sending Data to Dashboarding Apps

Sending Data to Data Storages

Other Resources