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    Stripe
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    Stripe

    • 2 Minutes to read
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    Article summary

    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 and select the connector from the list.
    2. Select your dataset and click on Next to continue.
      DATADDO TIP

      If you are not sure which dataset you need but know the metrics and attributes, use the Search by Name or Attribute function.

      Fixed-schema connector
    3. From the drop-down menu, select your authorizer.
      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.

    4. Name your data source and select your metrics and attributes. Keep in mind that metrics and attributes depend on the selected dataset.
    5. Configure your sync frequency or the exact synchronization time under Show advanced settings.
      DATADDO TIP

      If you need to load historical data, please refer to the Data Backfilling article.

    6. Preview your data by clicking on the Test Data button in the top right corner. You can adjust the date range for a more specific time frame.
    7. 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

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