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Automatically log CloudTalk calls in Lark as new records or updates. Latenodeβs visual editor makes it easy to customize data mapping, while affordable execution-based pricing keeps costs low as call volumes scale.
Connect CloudTalk and Lark in minutes with Latenode.
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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 CloudTalk, triggered by another scenario, or executed manually (for testing purposes). In most cases, CloudTalk or Lark will be your first step. To do this, click "Choose an app," find CloudTalk or Lark, and select the appropriate trigger to start the scenario.

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

CloudTalk
Click on the CloudTalk node to configure it. You can modify the CloudTalk URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Next, click the plus (+) icon on the CloudTalk node, select Lark from the list of available apps, and choose the action you need from the list of nodes within Lark.

CloudTalk
β
Lark
Now, click the Lark node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lark settings. Authentication allows you to use Lark 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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Lark
Trigger on Webhook
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CloudTalk
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Iterator
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Webhook response
After configuring CloudTalk, Lark, 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 CloudTalk and Lark integration works as expected. Depending on your setup, data should flow between CloudTalk and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
CloudTalk + Google Sheets + Lark: Whenever a new call is received in CloudTalk, log the call details in a Google Sheet. Then, at the end of each day, send a summary of all calls logged to a designated Lark channel.
Lark + CloudTalk + Jira: When a new message containing specific keywords is received in a Lark group chat, create a Jira ticket and automatically call the assigned person via CloudTalk to immediately address the urgent issue.
About CloudTalk
Automate CloudTalk call and SMS data within Latenode. Trigger workflows on new calls, messages, or agent status changes. Update CRMs, send alerts, or generate reports automatically. Use Latenode's visual editor and data transformation tools to customize call center automations without complex coding, and scale your workflows efficiently.
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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.
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How can I connect my CloudTalk account to Lark using Latenode?
To connect your CloudTalk account to Lark on Latenode, follow these steps:
Can I post missed CloudTalk call details to a Lark group?
Yes, you can! Latenode allows you to automatically post CloudTalk missed call details to a Lark group, keeping your team informed without manual data entry. Scale insights instantly!
What types of tasks can I perform by integrating CloudTalk with Lark?
Integrating CloudTalk with Lark allows you to perform various tasks, including:
What CloudTalk data can I access within Latenode workflows?
You can access comprehensive CloudTalk data including call recordings, agent statuses, and detailed call logs directly within Latenode for advanced automation.
Are there any limitations to the CloudTalk and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: