Lark and Clockify Integration

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Automatically log your Lark meeting attendance in Clockify, tracking billable hours with precision. Latenode's visual editor simplifies setup, while affordable execution-based pricing helps scale this essential workflow.

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Lark

Clockify

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Lark and Clockify

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

Add the Lark Node

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

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Lark

Configure the Lark

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

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Lark

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Connect Lark

Sign In

Run node once

Add the Clockify Node

Next, click the plus (+) icon on the Lark 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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Clockify

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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Lark

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Clockify

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Connect Clockify

Sign In

Run node once

Configure the Lark 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

Run node once

Set Up the Lark 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 Lark, 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 Lark and Clockify integration works as expected. Depending on your setup, data should flow between Lark 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 Lark and Clockify

Lark + Clockify + Google Sheets: When a new message is received in a Lark group chat, log the time spent responding in Clockify using a new time entry. Then, add a row to a Google Sheet summarizing the conversation and time spent.

Clockify + Jira + Lark: When time logged for a project in Clockify exceeds a defined limit, create a bug report in Jira. Then, send a message in Lark to the project manager about the new issue.

Lark and Clockify integration alternatives

About Lark

Use Lark within Latenode to centralize team comms & automate notifications based on workflow triggers. Aggregate messages, streamline approvals, and post updates to specific channels. Benefit from Latenode's visual editor and logic tools for advanced routing that keeps everyone informed and aligned.

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 Lark and Clockify

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

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

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

Can I automatically log Lark meeting time in Clockify?

Yes, you can! Latenode's visual editor and no-code blocks make it simple to automatically track your Lark meeting durations in Clockify, improving time management and project costing.

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

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

  • Automatically logging Lark meeting durations as billable time in Clockify.
  • Creating Clockify projects based on new Lark group names.
  • Sending Lark messages upon completion of a Clockify project.
  • Updating Clockify task descriptions with details from Lark messages.
  • Triggering Clockify time tracking from specific Lark channel messages.

How can I use JavaScript to transform data between Lark and Clockify?

Latenode lets you use JavaScript code blocks to customize data mapping between Lark and Clockify for advanced data transformations and filtering.

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

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

  • Real-time synchronization might experience delays depending on API rate limits.
  • Complex data transformations may require JavaScript knowledge.
  • Custom fields in Clockify may not be directly accessible via the basic integration.

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