Connect Fillout and Microsoft Azure Functions to Build Intelligent Automations
Enable Integrations or automations with these events of Fillout and Microsoft Azure Functions
Enable Integrations or automations with these events of Fillout and Microsoft Azure Functions
Triggers
New Submission
Triggers when a form receives a new submission.
Actions
Get Form Responses
Get all response data provided by users.
Search Response
Returns a single Responses by its ID
Delete Response
Deletes a submission by its ID
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Frequently Asked Questions
To start, connect both your Fillout and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Fillout triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Fillout data is recorded in Microsoft Azure Functions. This includes choosing which data fields go into which fields of Microsoft Azure Functions, setting up custom formats, and filtering out unwanted information.
The data sync between Fillout and Microsoft Azure Functions 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 Fillout and Microsoft Azure Functions. 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 Fillout
Fillout is a comprehensive form-building platform that allows users to create, customize, and manage online forms with ease. It offers a variety of templates and advanced features to streamline data collection and enhance user engagement.
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About Microsoft Azure Functions
Microsoft Azure Functions is a serverless computing service that enables developers to run event-driven code without having to explicitly provision or manage infrastructure. It allows for the execution of code in response to various triggers, such as HTTP requests, database changes, or message queue events, making it ideal for building scalable and efficient applications.
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