
When this happens...
Recent Attendee Check-ins
Attendee Created or Updated
New Event Created

Automatically do this!
Enable Integrations or automations with these events of Billetweb and Labelf
Returns attendees for the selected event who were checked in within the recent time window.
Triggers when an attendee is created or updated for a selected event (or all events). Returns attendee and order details and supports filtering by tag and by creation/update.
Detects newly created events on Billetweb and returns details for events added since the last check.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Billetweb and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in Billetweb triggers actions in Labelf (or vice versa).
Absolutely. You can customize how Billetweb data is recorded in Labelf. This includes choosing which data fields go into which fields of Labelf, setting up custom formats, and filtering out unwanted information.
The data sync between Billetweb and Labelf 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 Billetweb and Labelf. 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.
Billetweb is a comprehensive platform for event management and ticketing, offering tools to organize, promote, and manage events efficiently.
Learn MoreLabelf is an advanced AI-driven platform designed to streamline and enhance the process of labeling and annotating data. It leverages cutting-edge machine learning algorithms to provide accurate and efficient data labeling solutions, making it an essential tool for data scientists, machine learning engineers, and AI researchers.
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