How to connect Microsoft Excel and Toggl Track
Create a New Scenario to Connect Microsoft Excel and Toggl Track
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 Microsoft Excel, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Excel or Toggl Track will be your first step. To do this, click "Choose an app," find Microsoft Excel or Toggl Track, and select the appropriate trigger to start the scenario.

Add the Microsoft Excel Node
Select the Microsoft Excel node from the app selection panel on the right.


Microsoft Excel

Configure the Microsoft Excel
Click on the Microsoft Excel node to configure it. You can modify the Microsoft Excel URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Toggl Track Node
Next, click the plus (+) icon on the Microsoft Excel node, select Toggl Track from the list of available apps, and choose the action you need from the list of nodes within Toggl Track.


Microsoft Excel
⚙

Toggl Track


Authenticate Toggl Track
Now, click the Toggl Track node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Toggl Track settings. Authentication allows you to use Toggl Track through Latenode.
Configure the Microsoft Excel and Toggl Track Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft Excel and Toggl Track 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.

JavaScript
⚙
AI Anthropic Claude 3
⚙

Toggl Track
Trigger on Webhook
⚙

Microsoft Excel
⚙
⚙
Iterator
⚙
Webhook response


Save and Activate the Scenario
After configuring Microsoft Excel, Toggl Track, 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 Microsoft Excel and Toggl Track integration works as expected. Depending on your setup, data should flow between Microsoft Excel and Toggl Track (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft Excel and Toggl Track
Toggl Track + Microsoft Excel + Slack: When a new time entry is created in Toggl Track, log the details in an Excel worksheet. Then, send a summary of the week's logged hours to a designated Slack channel every week.
Toggl Track + Microsoft Excel + Google Calendar: Track billable time in Toggl Track. When a new time entry is created, log the details (time, project, description) in an Excel worksheet. Based on the project and time, create a reminder event in Google Calendar a week before the invoice is due.
Microsoft Excel and Toggl Track integration alternatives

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.
Similar apps
Related categories

About Toggl Track
Track time in Toggl Track, then use Latenode to automatically log hours to project management tools or generate invoices. Pull Toggl Track data into reports and dashboards, or trigger notifications based on time entries. Automate billing and project tracking; build custom flows around your Toggl Track data.
Related categories
See how Latenode works
FAQ Microsoft Excel and Toggl Track
How can I connect my Microsoft Excel account to Toggl Track using Latenode?
To connect your Microsoft Excel account to Toggl Track on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Excel and click on "Connect".
- Authenticate your Microsoft Excel and Toggl Track accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically log Toggl Track time entries to Microsoft Excel?
Yes, you can! Latenode allows automated logging. This ensures accurate time tracking data is seamlessly transferred, saving time and reducing manual entry errors.
What types of tasks can I perform by integrating Microsoft Excel with Toggl Track?
Integrating Microsoft Excel with Toggl Track allows you to perform various tasks, including:
- Exporting Toggl Track time entries into formatted Microsoft Excel reports.
- Calculating project costs based on tracked time and hourly rates in Microsoft Excel.
- Creating custom dashboards in Microsoft Excel using Toggl Track data.
- Automatically updating Microsoft Excel spreadsheets with new Toggl Track entries.
- Generating invoices from Microsoft Excel using time data from Toggl Track.
How do I handle large Microsoft Excel files on Latenode?
Latenode efficiently manages large files using optimized data streaming, ensuring high performance even with extensive Microsoft Excel spreadsheets.
Are there any limitations to the Microsoft Excel and Toggl Track integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Microsoft Excel formulas might require adjustments for automation.
- Real-time data updates are subject to API rate limits of both services.
- Historical data import may require processing in batches for large datasets.