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

Add the Google Dialogflow ES Node
Select the Google Dialogflow ES node from the app selection panel on the right.

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

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Lark
Authenticate 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.
Configure the Google Dialogflow ES and Lark Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Dialogflow ES and Lark 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.

JavaScript
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AI Anthropic Claude 3
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Lark
Trigger on Webhook
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Google Dialogflow ES
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Webhook response
Save and Activate the Scenario
After configuring Google Dialogflow ES, Lark, 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 Google Dialogflow ES and Lark integration works as expected. Depending on your setup, data should flow between Google Dialogflow ES and Lark (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Dialogflow ES and Lark
Google Dialogflow ES + Lark + Google Sheets: Capture user feedback from a Dialogflow ES chatbot. The feedback is then sent to a Lark group chat, and simultaneously saved in a Google Sheets spreadsheet for analysis.
Lark + Google Dialogflow ES + Jira: When a new message is received in a Lark group chat, use Dialogflow ES to analyze the message. If Dialogflow identifies a critical issue, create a Jira ticket.
Google Dialogflow ES and Lark integration alternatives
About Google Dialogflow ES
Use Google Dialogflow ES in Latenode to build smart chatbots and automate customer service tasks. Connect Dialogflow to your databases, CRMs, or other apps for personalized responses. Create visual workflows that handle complex conversations without code, adding custom logic with JavaScript where needed. Scale your AI-powered interactions using Latenode's flexible automation platform.
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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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See how Latenode works
FAQ Google Dialogflow ES and Lark
How can I connect my Google Dialogflow ES account to Lark using Latenode?
To connect your Google Dialogflow ES account to Lark on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Dialogflow ES and click on "Connect".
- Authenticate your Google Dialogflow ES and Lark accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Lark with Dialogflow ES insights?
Yes, you can! Latenode's visual editor makes it easy to trigger Lark updates based on Dialogflow ES intent detections, keeping your team informed with zero code and maximum efficiency.
What types of tasks can I perform by integrating Google Dialogflow ES with Lark?
Integrating Google Dialogflow ES with Lark allows you to perform various tasks, including:
- Send customer support summaries from Dialogflow ES to a Lark group.
- Create Lark tasks based on user requests handled by Dialogflow ES.
- Post Dialogflow ES sentiment analysis results to a Lark channel.
- Update a Lark sheet with data extracted from Dialogflow ES conversations.
- Trigger personalized Lark messages based on Dialogflow ES user profiles.
How do I handle Dialogflow ES's rich responses in Lark via Latenode?
Latenode's data transformation tools allow you to map Dialogflow ES's rich responses to appropriate Lark message formats seamlessly.
Are there any limitations to the Google Dialogflow ES and Lark integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Dialogflow ES flows may require JavaScript code for optimal handling.
- Lark rate limits apply to message sending and can impact high-volume scenarios.
- Advanced entity extraction requires careful configuration within Dialogflow ES.