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Log meeting attendance from Google Meet directly into PostgreSQL, creating insightful reports and custom dashboards. Latenodeβs visual editor simplifies setup, while affordable execution pricing makes scaling data collection easy, even with complex workflows.
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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 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.

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

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.
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.

Google Meet
β
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.
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
β
PostgreSQL
Trigger on Webhook
β
Google Meet
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β
Iterator
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Webhook response
After configuring Google Meet, PostgreSQL, 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 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.
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.
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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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:
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:
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: