Connect ClickUp and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
New Folder
New List
New Task
Task Updated
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of ClickUp and Neo4j
Enable Integrations or automations with these events of ClickUp and Neo4j
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 a Task or subtask
Create a new task in a list
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Frequently Asked Questions
To start, connect both your ClickUp and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in ClickUp triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how ClickUp data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between ClickUp and Neo4j 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 Neo4j. 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.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
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