Confluence and Clockify Integration

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Connect Confluence to Clockify and automatically track time spent on documentation. Latenode’s visual editor and JavaScript support streamline reporting. Scale affordably by paying only for execution time.

Swap Apps

Confluence

Clockify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Confluence and Clockify

Create a New Scenario to Connect Confluence and Clockify

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 Confluence, triggered by another scenario, or executed manually (for testing purposes). In most cases, Confluence or Clockify will be your first step. To do this, click "Choose an app," find Confluence or Clockify, and select the appropriate trigger to start the scenario.

Add the Confluence Node

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

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Confluence

Configure the Confluence

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

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Connect Confluence

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Run node once

Add the Clockify Node

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

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Authenticate Clockify

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

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Configure the Confluence and Clockify 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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Clockify Oauth 2.0

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The action ID

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Run node once

Set Up the Confluence and Clockify 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 Confluence, Clockify, 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 Confluence and Clockify integration works as expected. Depending on your setup, data should flow between Confluence and Clockify (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Confluence and Clockify

Confluence + Clockify + Slack: When a Confluence page is updated, find the running time entry in Clockify and stop it. Then, send a Slack message to a specified channel, notifying the team about the Confluence page update and the stopped time entry.

Clockify + Confluence + Google Sheets: When a new time entry is created in Clockify, update a specific Confluence page with the new time entry details, and then add a new row in Google Sheets to track the time entry data.

Confluence and Clockify integration alternatives

About Confluence

Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.

Similar apps

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About Clockify

Track work hours in Clockify and automate reporting within Latenode. Log time entries, then trigger automated invoice creation, project updates, or performance dashboards. Centralize time tracking data in your workflows and reduce manual data entry. Use AI tools to analyze time data and optimize project timelines.

See how Latenode works

FAQ Confluence and Clockify

How can I connect my Confluence account to Clockify using Latenode?

To connect your Confluence account to Clockify on Latenode, follow these steps:

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

Can I automatically track time spent on Confluence tasks?

Yes, with Latenode! Automatically log Clockify time entries based on Confluence page updates. Get detailed time tracking reports,boosting productivity analysis with ease.

What types of tasks can I perform by integrating Confluence with Clockify?

Integrating Confluence with Clockify allows you to perform various tasks, including:

  • Create Clockify projects when new Confluence spaces are created.
  • Automatically log time in Clockify when a Confluence page is updated.
  • Generate reports of time spent on specific Confluence documentation.
  • Sync Confluence task statuses with corresponding Clockify time entries.
  • Send notifications about project time estimates vs actual time tracked.

How do I handle errors during Confluence and Clockify automation?

Latenode provides robust error handling. Use conditional logic & built-in logging to manage errors and ensure workflow reliability.

Are there any limitations to the Confluence and Clockify integration on Latenode?

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

  • Complex data transformations may require JavaScript coding.
  • Real-time sync depends on API rate limits of both services.
  • Historical data migration needs custom scripting for large datasets.

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