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

Select the Google Chat node from the app selection panel on the right.

Google Chat
Click on the Google Chat node to configure it. You can modify the Google Chat 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 Google Chat node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.

Google Chat
β
Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment 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
β
AI Anthropic Claude 3
β
Data Enrichment
Trigger on Webhook
β
Google Chat
β
β
Iterator
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Webhook response
After configuring Google Chat, Data Enrichment, 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 Google Chat and Data Enrichment integration works as expected. Depending on your setup, data should flow between Google Chat and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Chat + Data Enrichment + Salesforce: When a new message is posted in Google Chat, the flow extracts potential lead names from the message. It then enriches the lead data and creates a new lead or updates an existing lead in Salesforce.
Google Chat + Data Enrichment + HubSpot: When a new message is posted in Google Chat, the flow extracts potential company names from the message. It then enriches the company data and creates or updates the company in HubSpot.
About Google Chat
Use Google Chat in Latenode for automated notifications & alerts. Trigger messages based on events in other apps, like new database entries or payment confirmations. Centralize alerts and status updates across services within a single, scalable Latenode workflow. Add custom logic and AI for smart notifications.
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About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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How can I connect my Google Chat account to Data Enrichment using Latenode?
To connect your Google Chat account to Data Enrichment on Latenode, follow these steps:
Can I enrich Google Chat messages with user profile data?
Yes, you can! Latenode lets you enrich Google Chat messages in real-time with data enrichment services, giving immediate user context for faster, smarter support.
What types of tasks can I perform by integrating Google Chat with Data Enrichment?
Integrating Google Chat with Data Enrichment allows you to perform various tasks, including:
How secure is connecting Google Chat to Latenode?
Latenode uses secure authentication and encryption to protect your Google Chat data during integration and workflow execution.
Are there any limitations to the Google Chat and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: