Connect Timekit and Microsoft Azure Functions to Build Intelligent Automations
Enable Integrations or automations with these events of Timekit and Microsoft Azure Functions
Enable Integrations or automations with these events of Timekit and Microsoft Azure Functions
Actions
List Resources
Get all resources for the app.
List Bookings
Get all bookings.
List Booking Groups
Get all group bookings.
List Projects
Get all projects.
List Locations
Get all locations.
List Services
Get a list of all the services.
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Frequently Asked Questions
To start, connect both your Timekit and Microsoft Azure Functions accounts to viaSocket. Once connected, you can set up a workflow where an event in Timekit triggers actions in Microsoft Azure Functions (or vice versa).
Absolutely. You can customize how Timekit 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 Timekit 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 Timekit 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 Timekit
Timekit lets you build scalable and flexible booking experiences and scheduling flows that grow your business.
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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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