Connect GF and MongoDB to Build Intelligent Automations

Choose a Trigger

GF

When this happens...

Choose an Action

MongoDB

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Enable Integrations or automations with these events of GF and MongoDB

Enable Integrations or automations with these events of GF and MongoDB

Triggers

New Form Response

New Form Response

Runs when a new response is submitted to the selected Google Form.

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Frequently Asked Questions

How do I start an integration between GF and MongoDB?

To start, connect both your GF and MongoDB accounts to viaSocket. Once connected, you can set up a workflow where an event in GF triggers actions in MongoDB (or vice versa).

Can we customize how data from GF is recorded in MongoDB?

Absolutely. You can customize how GF data is recorded in MongoDB. This includes choosing which data fields go into which fields of MongoDB, setting up custom formats, and filtering out unwanted information.

How often does the data sync between GF and MongoDB?

The data sync between GF and MongoDB typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from GF to MongoDB?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between GF and MongoDB?

Yes, you can set conditional logic to control the flow of data between GF and MongoDB. 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.

GF

About GF

Web-based tool at docs.google.com/forms for creating, editing, and publishing forms, surveys, and quizzes. Programmatic access is provided through the Google Forms API (forms.googleapis.com) to create/update forms, retrieve responses, and manage watches/notifications.

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MongoDB

About MongoDB

MongoDB is a leading NoSQL database platform that provides a flexible and scalable solution for managing large volumes of data. It is designed to handle unstructured data and offers high performance, high availability, and easy scalability.

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