Jira and Microsoft Excel Integration

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Sync Jira issues to Microsoft Excel for custom reporting and analysis. Latenode's visual editor makes complex data transformations easy, while affordable pay-by-execution pricing keeps costs low as your needs scale.

Swap Apps

Jira

Microsoft Excel

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Jira and Microsoft Excel

Create a New Scenario to Connect Jira and Microsoft Excel

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Jira, triggered by another scenario, or executed manually (for testing purposes). In most cases, Jira or Microsoft Excel will be your first step. To do this, click "Choose an app," find Jira or Microsoft Excel, and select the appropriate trigger to start the scenario.

Add the Jira Node

Select the Jira node from the app selection panel on the right.

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Jira

Configure the Jira

Click on the Jira node to configure it. You can modify the Jira URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Microsoft Excel Node

Next, click the plus (+) icon on the Jira node, select Microsoft Excel from the list of available apps, and choose the action you need from the list of nodes within Microsoft Excel.

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Authenticate Microsoft Excel

Now, click the Microsoft Excel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Excel settings. Authentication allows you to use Microsoft Excel through Latenode.

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Sign In

Run node once

Configure the Jira and Microsoft Excel Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Jira and Microsoft Excel Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Jira, Microsoft Excel, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Jira and Microsoft Excel integration works as expected. Depending on your setup, data should flow between Jira and Microsoft Excel (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Jira and Microsoft Excel

Jira + Microsoft Excel + Slack: When a Jira issue is updated, its status is updated in a Microsoft Excel spreadsheet. A Slack message is then sent to project managers to notify them of the status change.

Microsoft Excel + Jira + Microsoft Teams: When a new row is added to a Microsoft Excel spreadsheet, a new Jira issue is created with data from the row. A message is then sent to a Microsoft Teams channel to notify the team of the new issue.

Jira and Microsoft Excel integration alternatives

About Jira

Sync Jira issues to other tools or trigger actions based on status changes. Automate bug reporting, task assignment, or notifications without code. Latenode lets you visually integrate Jira into complex workflows. Extend functionality with JavaScript and control costs with execution-based pricing, not per-step fees.

About Microsoft Excel

Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.

See how Latenode works

FAQ Jira and Microsoft Excel

How can I connect my Jira account to Microsoft Excel using Latenode?

To connect your Jira account to Microsoft Excel on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Jira and click on "Connect".
  • Authenticate your Jira and Microsoft Excel accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically create Jira issues from Excel rows?

Yes, you can! Latenode allows automated issue creation. Streamline issue logging and ensure all Excel data transforms into actionable Jira items, enhancing team collaboration.

What types of tasks can I perform by integrating Jira with Microsoft Excel?

Integrating Jira with Microsoft Excel allows you to perform various tasks, including:

  • Automatically updating Excel spreadsheets with new Jira issue data.
  • Generating summary reports from Jira data within Excel.
  • Creating new Jira issues based on data entered in Excel.
  • Tracking the progress of Jira issues directly in Excel.
  • Synchronizing custom fields between Jira and Excel.

What are the benefits of using Jira on Latenode over native Jira?

Latenode offers seamless integration with other apps and AI, advanced automation logic, and efficient workflow scaling beyond standard Jira capabilities.

Are there any limitations to the Jira and Microsoft Excel integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large datasets in Excel may impact performance during data transfer.
  • Complex Excel formulas might not be directly transferable to Jira.
  • Custom Jira fields require careful mapping for accurate data synchronization.

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