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Article Summary

AroFlo is a cloud-based job management software designed for trade and service-based businesses. It helps streamline operations by offering tools for scheduling, quoting, invoicing, job tracking, and other essential tasks, providing businesses with a comprehensive solution to manage their workflows and enhance their efficiency.

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

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

Authorize Connection to AroFlo

In AroFlo

To authorize connection to your AroFlo account, you will need to request API access.

  1. In your AroFlo account, go to the Site Administration section and open the Settings.
  2. Under General, find AroFlo API. If you don't have access to AroFlo's API yet, you will need to contact AroFlo's support team.
  3. Open API Access Details to find the following information
    1. uEncoded
    2. pEncoded (= API token)
    3. API secret key: Keep in mind that the secret key will be shown only once.
    4. orgEncoded
  4. Save API settings.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select AroFlo.
  2. Fill in the following fields:
    1. uEncoded, pEncoded, orgEncoded: Values from AroFlo's API Access Details section.
    2. Secret Key: Secret key generated in AroFlo.
  3. Rename your authorizer for easier identification and click on Save.

How to Create an AroFlo 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
    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.

  3. Name your data source and select your metrics and attributes. Keep in mind that metrics and attributes depend on the selected dataset.
  4. 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.

  5. 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.
  6. Click on Save and congratulations, your new data source is ready!


API Calls

The AroFlo API is limited to 2,000 API calls per day.


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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