Sprout Social

Available Endpoints

Currently, there are these datasets available in Dataddo:

• Facebook Post Analytics
• Facebook Profile Analytics
• LinkedIn Post Analytics
• LinkedIn Profile Analytics
• Twitter Post Analytics
• Twitter Profile Analytics
• Customer Profiles

All available endpoints from the Sprout SociaI are listed here.

Sprout Social API Token and Label

Before accessing the Analytics API, your account must be provisioned for API use by your Sprout account representative. Once the account is provisioned, you must obtain an access token. To do so, the Account Owner must log in to the Sprout web app and obtain the access token via an account settings dialog. The Account Owner can create new access tokens via the dialog, view existing access tokens or invalidate existing tokens (i.e. prevent the tokens from being used for client requests).

1. Log in to Sprout and navigate to Settings.

2. Scroll down to the reporting section and click API Tokens.
   

3. Accept Sprout's Analytics API Terms of Service, if you haven't already.

4. Click Create API Token in the upper left corner.
   

5. Enter a name for your token.
   

6. Copy the token for use. Be sure to store this securely.

Twitter Data: Twitter Content End User License Agreement

Contact your Sprout Social account representative to initiate the review process with Twitter. After Twitter approves your use case, the Account Owner needs to accept the Analytics API Twitter Content End User License Agreement. This appears at the top of the API Tokens settings page.

How to Create a Sprout Social Source

1. Sign in to your Dataddo account and click on Sources at the top of the page.

2. Click on Create Source in the top right corner.

3. Select the connector from the list of sources. You can type the name of the connector into the search bar to find it faster.
   

4. First, select the required Dataset and click on Next.

   • NOTE: If you are not sure which Dataset you need, but you know which Metrics and Attributes you are looking for, you can use the Search by Name or Attribute function or you can browse through all the possible Attributes and Metrics for each Dataset by clicking on the specific Dataset.
     

5. From the drop-down menu, choose your Account connected to Dataddo. Click on Next to continue with the setup.

   1. Didn't find your account?
      If you want to connect a new account that is not on the list, click on Add New Account at the bottom of the drop-down. You will be redirected to the authorization/sign-in page to confirm the right account. Once you confirm, you will be redirected back to the Dataddo app.

   2. Authorize Your Account
      If you have not authorized your Account with Dataddo, click on Add New Account and you will be redirected to the authorization/sign-in page.
      

      • NOTE: To find your Label and API token, follow these steps.

   3. After you log in and give Dataddo the necessary permissions to access your data, you will be redirected back to the connector.

6. Choose a Name for your Data Source, and select the Metrics and Attributes. To continue to the next page, click Next.

   • NOTE: The Metrics and Attributes depend on the Dataset you selected in the previous step. If you need different Metrics and Attributes, go back two steps and change the Dataset.
     

7. Configure your snapshotting preferences by choosing your Sync frequency. Under Advanced setting,s you can select the exact Time, of synchronization. Confirm your setup by clicking on Next.
   If the Data range is available to select, you can load historical data. Read more in our guide.

8. Before saving the source, you can see a preview of your data by clicking on the Preview button. you can adjust the date range to a more specific view.

   • Also, you can see the full list of the metrics you selected by clicking on Show all Metrics and attributes, in the left navigation.
     

9. Click on Save and your new Data Source is ready.

Congratulations, your new Data Source is ready!

Troubleshooting

Broken View / Error Message

If you cannot see a preview of your data, go back a few steps and check your setup. The most common causes are:

• Date range - we recommend a smaller date range. If you need to load historical data, check our guide.
• Invalid metrics, attributes or breakdowns, or their combination - you may not have any values for them.