Fibery and Clockify Integration

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Automatically log time from Fibery tasks in Clockify. Latenode’s visual editor simplifies complex mappings, letting you customize every detail with JavaScript for precise time tracking. Scale affordably by paying only for execution time.

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Fibery

Clockify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Fibery and Clockify

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

Add the Fibery Node

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

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Fibery

Configure the Fibery

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

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Connect Fibery

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Run node once

Add the Clockify Node

Next, click the plus (+) icon on the Fibery 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 Fibery 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 Fibery 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 Fibery, 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 Fibery and Clockify integration works as expected. Depending on your setup, data should flow between Fibery 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 Fibery and Clockify

Fibery + Clockify + Slack: When a Fibery entity is updated (specifically, when its status changes to 'In Progress'), start a timer in Clockify. Then, send a message to a dedicated Slack channel to notify the team that the task has started.

Clockify + Fibery + Google Sheets: When a new time entry is created in Clockify, find or create a corresponding entity in Fibery and create a report in Google Sheets for project cost analysis.

Fibery and Clockify integration alternatives

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.

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 Fibery and Clockify

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

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

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

Can I track time spent on Fibery tasks in Clockify?

Yes, with Latenode! Automatically log time from Fibery tasks to Clockify. Benefit from unified reporting and accurate project tracking without manual entry, thanks to Latenode's flexibility.

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

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

  • Automatically start a Clockify timer when a Fibery task is assigned.
  • Create a new Clockify project when a new Fibery project is created.
  • Update Fibery task status based on time tracked in Clockify.
  • Sync project members between Fibery and Clockify.
  • Generate reports combining data from Fibery and Clockify.

What Fibery data can I access within Latenode workflows?

Latenode enables access to all Fibery entities, types, and fields, empowering you to build complex automations visually or with code when needed.

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

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

  • Real-time synchronization might be subject to API rate limits.
  • Custom field mappings may require advanced configuration.
  • Historical data migration between apps is not supported by default.

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