Zendesk

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Zendesk is a customer service and support platform that provides businesses with tools and features to manage and resolve customer inquiries and issues. It offers a ticketing system, knowledge base, live chat, and other customer engagement tools, enabling businesses to deliver efficient and effective customer support, build stronger customer relationships, and enhance overall customer satisfaction.

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

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

Authorize Connection to Zendesk

In Zendesk

To authorize your Zendesk account, you will need your subdomain name, Zendesk username, and an API token.

  1. In your Zendesk account, navigate to the Admin Center.
  2. Under APIs, select Zendesk API.
  3. Navigate to the Settings tab to enable token access.
  4. Go back to the Zendesk API page and click on Add API token.
  5. Copy the value.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Zendesk.
  2. Fill in the following fields:
    1. Subdomain: Your Zendesk subdomain name which is the first part of your Zendesk URL (e.g. mycompany from mycompany.zendesk.com).
    2. Username: Your email associated with Zendesk account.
    3. API Token: Zendesk API key.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a Zendesk 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.
    DATADDO TIP

    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!

Limitations

Tickets Archivation

Tickets that have been closed for 120 days are archived. This means these tickets will not be returned by the Ticket metric endpoint

To avoid having your tickets archived, you can create a custom stage for resolved tickets.

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