Connect Google Meet and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
New Meeting
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of Google Meet and Fivetran
Enable Integrations or automations with these events of Google Meet and Fivetran
Triggers
New Meeting
Trigger when a new meeting is created.
Actions
Get All Attendees
Get All Attendees for Google Meet.
Schedule a Meeting
schedules a video conference meeting.
Add Attendees to Meeting
updating the existing calendar event’s attendees list by adding new emails.
List Upcoming Meetings
List Upcoming Google Meet Meetings .
Update Meeting
update an existing meeting.
Cancel Meeting
delete a meeting.
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Frequently Asked Questions
To start, connect both your Google Meet and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Meet triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Google Meet data is recorded in Fivetran. This includes choosing which data fields go into which fields of Fivetran, setting up custom formats, and filtering out unwanted information.
The data sync between Google Meet and Fivetran typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Meet and Fivetran. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Meet
Google Meet is a video conferencing app. Using your browser, share your video, desktop, and presentations with teammates and customers.
Learn MoreAbout Fivetran
Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.
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