Manatal
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Manatal

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Article summary

Manatal is a cloud-based recruitment software designed to streamline the hiring process for businesses. It offers features like applicant tracking, AI-driven candidate recommendations, and recruitment CRM to enhance efficiency and improve talent acquisition.

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

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

Authorize Connection to Manatal

In Manatal

To authorize your Manatal account, you will need an API token.

  1. Contact Manatal's support to enable the Open API for you.
  2. In your Manatal account, navigate to the Administration page and continue to Open API.
    1. If the link above doesn't work, scroll down to Features and click on Manage features.
    2. Scroll down to click on Mass Emailing and select Open API.
  3. Click on Generate new token and copy the value.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Manatal.
  2. Provide the Manatal API Token.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a Manatal 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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