Discourse

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Discourse is an open-source software platform designed for community discussion, enabling users to host forums and build modern, civilized spaces for conversation online. It offers robust features for moderation, organization, and interaction among members, making it ideal for everything from small groups to large-scale public communities.

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

Authorize Connection to Discourse

In Discourse

To authorize your Discourse account, you will need your domain name, username, an API token).

  1. In your Discourse account, navigate to the Admin page, scroll down to Advanced and select API keys.
  2. Click on New API Key.
  3. Fill in the new API key's description, select a specific user or all users, and assign permissions scopes.
  4. Copy the API Key value and keep it safe as you can display it only once.

In Dataddo

  1. On the Authorizers page, click on Authorize New Service and select Discourse.
  2. Fill in the following fields:
    1. Host: The domain where a Discourse forum is installed.
    2. Username: Your Discourse username.
    3. API Token: Discourse API key.
  3. Rename your authorizer for easier identification and click on Save.

How to Create a Discourse 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.
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    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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      If you need 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. You can adjust the date range for a specific time frame.
  9. 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 using manual data load.
  • Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
  • Invalid metrics, attributes, or breakdowns: You may not have any data for the selected metrics, attributes, or breakdowns.
  • Incompatible combination of metrics, attributes, or breakdowns: Your selected combination cannot be queried together. Please refer to the service's documentation to view a full list of metrics that can be included in the same data source.

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