Connect Lark and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Lark
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Lark and Neo4j
Enable Integrations or automations with these events of Lark and Neo4j
Actions
Create Lark Sheet
Create a new Sheet in Lark
Search a Group Chat in Lark
Searches for a Lark Group Chat that users or bot are in by name
Search a Lark Base
Search for a Lark Base by name or keyword
Search Lark Calendar Event
Search user's Lark calendar events
Search a Lark Docs
Search for a Lark Base by name or keyword
Search a Lark File
Search a Lark File by key word
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Frequently Asked Questions
To start, connect both your Lark and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Lark triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Lark 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 Lark 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 Lark 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 Lark
Lark is a next-generation office suite that integrates messaging, video conferencing, schedule management, collaborative documents, and more into a single platform, designed to enhance productivity and streamline communication for teams.
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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