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Automatically track time spent on Fibery tasks in Toggl Track. Latenode's visual editor makes setup simple, and with affordable, execution-based pricing, scaling detailed project time tracking is easier than ever.
Connect Fibery and Toggl Track in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

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

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

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

Fibery
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Toggl Track
Trigger on Webhook
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Fibery
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Iterator
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Webhook response
After configuring Fibery, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Fibery and Toggl Track integration works as expected. Depending on your setup, data should flow between Fibery and Toggl Track (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Toggl Track + Fibery + Slack: When a new time entry is created in Toggl Track, find the associated task in Fibery. Then, send a summary of the time tracked against that Fibery task to a dedicated Slack channel daily.
Toggl Track + Fibery + Google Calendar: When a new time entry is created in Toggl Track and linked to a Fibery project, create a corresponding event in Google Calendar to visualize time allocation.
About Fibery
Sync Fibery's structured data—tasks, projects, wikis—into Latenode for automated workflows. Trigger actions like sending notifications on status changes or updating other tools. Latenode adds logic and integrations Fibery lacks, building complex flows with no code. Automate cross-functional workflows beyond Fibery's native capabilities.
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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.
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How can I connect my Fibery account to Toggl Track using Latenode?
To connect your Fibery account to Toggl Track on Latenode, follow these steps:
Can I automatically track time against Fibery tasks?
Yes, you can! Latenode enables seamless automation, logging Toggl Track time entries whenever a Fibery task status changes. Increase team efficiency with automatic time tracking.
What types of tasks can I perform by integrating Fibery with Toggl Track?
Integrating Fibery with Toggl Track allows you to perform various tasks, including:
How can I transform data between Fibery and Toggl Track in Latenode?
Use Latenode's JavaScript blocks to transform data on-the-fly. You can easily format dates, calculate values, or map fields between apps.
Are there any limitations to the Fibery and Toggl Track integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: