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Automatically log Render deployment times in Toggl Track for accurate project costing. Latenodeβs flexible API integration and JavaScript nodes enable customization, while affordable execution-based pricing saves you money.
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In the workspace, click the βCreate New Scenarioβ button.

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

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

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

Render
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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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Render
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Iterator
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Webhook response
After configuring Render, Toggl Track, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Render and Toggl Track integration works as expected. Depending on your setup, data should flow between Render and Toggl Track (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Render + Toggl Track + Slack: When a Render deploy finishes, find the corresponding Toggl Track project using the Render service name. Then, send a message to a Slack channel with the project code, providing a quick reference for time tracking related to the deployment.
Toggl Track + Render + Google Sheets: When a new time entry is created in Toggl Track, fetch the Render service name. Log the Toggl Track time entry details, including the Render project name, to a Google Sheet for cost allocation reporting.
About Render
Automate Render deployments with Latenode. Trigger server actions (like scaling or updates) based on events in other apps. Monitor build status and errors via Latenode alerts and integrate Render logs into wider workflow diagnostics. No-code interface simplifies setup and reduces manual DevOps work.
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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.
Related categories
How can I connect my Render account to Toggl Track using Latenode?
To connect your Render account to Toggl Track on Latenode, follow these steps:
Can I track Render deploy times in Toggl Track?
Yes, you can! Latenode's flexible logic allows automated time tracking upon each Render deployment. Get detailed insights, improving efficiency and resource allocation.
What types of tasks can I perform by integrating Render with Toggl Track?
Integrating Render with Toggl Track allows you to perform various tasks, including:
How secure is my Render API key when using Latenode integrations?
Latenode uses secure encryption to store your Render API key. Keys are never exposed, ensuring the safety of your Render account and data.
Are there any limitations to the Render and Toggl Track integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: