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Article summary

CloudTalk is a cloud-based call center software designed for modern businesses, offering advanced call center management features, virtual phone systems, and CRM integrations. It facilitates efficient customer service and sales call handling, with tools for call queuing, recording, analytics, and an intuitive interface for managing all communication.

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

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

Authorize Connection to CloudTalk

In CloudTalk

To authorize your CloudTalk account, you will need an API key (= API token).

  1. Log in to your CloudTalk account and navigate to the Cloudtalk Dashboard Account page.
  2. Go to Settings.
  3. Under API Keys, click on Add API Key.
  4. Copy the generated API key.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select CloudTalk.
  2. Fill in the following fields:
    1. API Access Key ID: CloudTalk API key.
    2. API Access Key Secret: CloudTalk key secret.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a CloudTalk 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.

    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.

    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!


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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