Connect Savvycal and Datawrapper to Build Intelligent Automations
Enable Integrations or automations with these events of Savvycal and Datawrapper
Enable Integrations or automations with these events of Savvycal and Datawrapper
Triggers
New Event
Trigger when new event is created
Event Canceled
Trigger when an event is canceled
Rescheduled Event
Trigger when an event is rescheduled.
Actions
Get Account User
Get existing account user details
List Events
Get a list of your events scheduled via SavvyCal.
List Scheduling Links
Get a list of scheduling links.
List Time Zones
Get a list of all canonical zones in the time zone database.
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Frequently Asked Questions
To start, connect both your Savvycal and Datawrapper accounts to viaSocket. Once connected, you can set up a workflow where an event in Savvycal triggers actions in Datawrapper (or vice versa).
Absolutely. You can customize how Savvycal data is recorded in Datawrapper. This includes choosing which data fields go into which fields of Datawrapper, setting up custom formats, and filtering out unwanted information.
The data sync between Savvycal and Datawrapper 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 Savvycal and Datawrapper. 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 Savvycal
Savvycal is a scheduling tool designed to make it easy for users to find mutually agreeable times for meetings. It offers a user-friendly interface and integrates with various calendar systems to streamline the scheduling process.
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About Datawrapper
Datawrapper is a powerful tool for creating charts, maps, and tables from your data, making it easy to visualize and share insights. It is designed to help users transform raw data into clear, engaging visualizations that can be embedded in websites or shared across platforms.
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