Connect ClickUp and Labelf to Build Intelligent Automations
Enable Integrations or automations with these events of ClickUp and Labelf
Enable Integrations or automations with these events of ClickUp and Labelf
Triggers
New Folder
Triggers when a new folder is created.
New List
Triggers when a new list is created.
New Task
Triggers when a new task is created.
Task Updated
Triggers when a task is updated.
Actions
Get all Lists
Get all lists in a folder
Get all Teams
Get a list of all teams
Get all Spaces
Get a list of all spaces
Get all Tasks
Get a list of all tasks
Get all Folders
Get a list of all folders
Create Task
Create a new task in a specified ClickUp list and set details such as title, description, assignees, tags, status, priority, start/due dates, and watchers.
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Frequently Asked Questions
To start, connect both your ClickUp and Labelf accounts to viaSocket. Once connected, you can set up a workflow where an event in ClickUp triggers actions in Labelf (or vice versa).
Absolutely. You can customize how ClickUp 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 ClickUp 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 ClickUp 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.
About ClickUp
Plan, track, and manage any type of work with project management that flexes to your team's needs.
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About Labelf
Labelf 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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