Extend Google Sheets with Jira Data



Make calls to the API Server from Google Apps Script.

Interact with Jira data from Google Sheets through macros, custom functions, and add-ons. The CData API Server enables connectivity to Jira data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for Jira.

Google Apps Script can consume these OData services in the JSON format. This article shows how to create a simple add-on that populates a Google Spreadsheet with Issues data.

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


Set Up the API Server

If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Jira OData services:

Connect to Jira

To work with Jira data from Google Sheets, we start by creating and configuring a Jira connection. Follow the steps below to configure the API Server to connect to Jira data:

  1. First, navigate to the Connections page.
  2. Click Add Connection and then search for and select the Jira connection.
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

  4. After configuring the connection, click Save & Test to confirm a successful connection.

Configure API Server Users

Next, create a user to access your Jira data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:

  1. On the Users page, click Add User to open the Add User dialog.
  2. Next, set the Role, Username, and Privileges properties and then click Add User.
  3. An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:

Creating API Endpoints for Jira

Having created a user, you are ready to create API endpoints for the Jira tables:

  1. First, navigate to the API page and then click Add Table .
  2. Select the connection you wish to access and click Next.
  3. With the connection selected, create endpoints by selecting each table and then clicking Confirm.

Gather the OData Url

Having configured a connection to Jira data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

Retrieve Jira Data

Open the Script Editor from your spreadsheet by clicking Tools -> Script Editor. In the Script Editor, add the following function to populate a spreadsheet with the results of an OData query:


function retrieve(){
  var url = "https://MyUrl/api.rsc/Issues?select=Id,Summary,TimeSpent,ReporterDisplayName";
  var response = UrlFetchApp.fetch(url,{
    headers: {"Authorization": "Basic " + Utilities.base64Encode("MyUser:MyAuthtoken")}
  }); 
  var json = response.getContentText();
  var sheet = SpreadsheetApp.getActiveSheet();
  var a1 = sheet.getRange('a1');
  var index=1;
  var issues = JSON.parse(json).value;

  var cols = [["Id","Summary","TimeSpent","ReporterDisplayName"]]; 
  sheet.getRange(1,1,1,4).setValues(cols);

  row=2;
  for(var i in issues){
    for (var j in issues[i]) {
      switch (j) {
        case "Id":
          a1.offset(row,0).setValue(account[i][j]);
          break;
        case "Summary":
          a1.offset(row,1).setValue(account[i][j]);
          break;
        case "TimeSpent":
          a1.offset(row,2).setValue(account[i][j]);
          break;
        case "ReporterDisplayName":
          a1.offset(row,3).setValue(account[i][j]);
          break;
      }      
    }
    row++;
  }
}

Follow the steps below to add an installable trigger to populate the spreadsheet when opened:

  1. Click Resources -> Current Project's Triggers -> Add a New Trigger.
  2. Select retrieve in the Run menu.
  3. Select From Spreadsheet.
  4. Select On open.

After closing the dialog, you are prompted to allow access to the application.

You can test the script by clicking Publish -> Test as Add-On. Select the version, installation type, and spreadsheet to create a test configuration. You can then select and run the test configuration.

Ready to get started?

Learn more or sign up for a free trial:

CData API Server