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

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

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

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PostgreSQL

Authenticate PostgreSQL
Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.
Configure the Google Meet and PostgreSQL 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 Meet and PostgreSQL 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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PostgreSQL
Trigger on Webhook
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Google Meet
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Iterator
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Webhook response

Save and Activate the Scenario
After configuring Google Meet, PostgreSQL, 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 Meet and PostgreSQL integration works as expected. Depending on your setup, data should flow between Google Meet and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Meet and PostgreSQL
Google Meet + PostgreSQL + Slack: When a Google Meet meeting ends, the flow checks the PostgreSQL database for attendees. If an attendee is not found in the database (meaning they didn't attend), a Slack direct message is sent to the user notifying them of their absence.
PostgreSQL + Google Calendar + Google Meet: When a new or updated row is added to a PostgreSQL database table, a Google Calendar event is created based on the database entry. Then, a Google Meet meeting is scheduled and the meeting details are added to the Google Calendar event.
Google Meet and PostgreSQL integration alternatives
About Google Meet
Automate Google Meet within Latenode workflows. Schedule meetings based on triggers, automatically generate invites after form submissions, or record & transcribe calls, saving time and ensuring consistent follow-up. Connect Meet to CRMs or project tools for streamlined task management. Simplify repetitive scheduling and meeting-related tasks.
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About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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See how Latenode works
FAQ Google Meet and PostgreSQL
How can I connect my Google Meet account to PostgreSQL using Latenode?
To connect your Google Meet account to PostgreSQL on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Meet and click on "Connect".
- Authenticate your Google Meet and PostgreSQL accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I save Google Meet participant details to PostgreSQL?
Yes, with Latenode! Automatically save participant names, email, and join/leave times from Google Meet to your PostgreSQL database for attendance tracking. Leverage Latenode's no-code and JavaScript support.
What types of tasks can I perform by integrating Google Meet with PostgreSQL?
Integrating Google Meet with PostgreSQL allows you to perform various tasks, including:
- Automatically backing up meeting transcripts to a PostgreSQL database.
- Logging attendee information and engagement metrics in PostgreSQL.
- Triggering personalized follow-up emails based on meeting participation.
- Creating custom reports on meeting attendance and duration from PostgreSQL.
- Updating customer records in PostgreSQL with Google Meet interaction data.
How do I handle large Google Meet data with PostgreSQL in Latenode?
Latenode efficiently handles large data volumes by leveraging its serverless architecture, offering automatic scaling for Google Meet and PostgreSQL integrations. No manual configuration needed!
Are there any limitations to the Google Meet and PostgreSQL integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations may require custom JavaScript code.
- Real-time data synchronization depends on the Google Meet API's capabilities.
- Large database writes could incur PostgreSQL resource costs.