Connect Form.taxi and Neo4j to Build Intelligent Automations

Choose a Trigger

Form.taxi

When this happens...

Choose an Action

Neo4j

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Enable Integrations or automations with these events of Form.taxi and Neo4j

Enable Integrations or automations with these events of Form.taxi and Neo4j

Triggers

New Submission Arrives

New Submission Arrives

Runs when a new form submission is received.

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Frequently Asked Questions

How do I start an integration between Form.taxi and Neo4j?

To start, connect both your Form.taxi and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Form.taxi triggers actions in Neo4j (or vice versa).

Can we customize how data from Form.taxi is recorded in Neo4j?

Absolutely. You can customize how Form.taxi data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Form.taxi and Neo4j?

The data sync between Form.taxi and Neo4j 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 Form.taxi to Neo4j?

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 Form.taxi and Neo4j?

Yes, you can set conditional logic to control the flow of data between Form.taxi and Neo4j. 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.

Form.taxi

About Form.taxi

Form.taxi is a platform designed to streamline the process of creating and managing forms specifically for the transportation industry. It allows users to easily build custom forms for bookings, feedback, and other transportation-related needs.

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Neo4j

About Neo4j

Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.

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