Conditional Branching Example Workflow
This workflow is manually triggered to generate a set of data containing different IDs, and it utilizes conditional judgments to implement branching processing. Based on the different IDs, corresponding name fields are set, demonstrating the basic usage of conditional judgments and multi-branch processing. This process is suitable for automated tasks that require different operations based on data content, helping users flexibly respond to various business scenarios and enhancing the intelligence and adaptability of the workflow.
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Workflow Name
Conditional Branching Example Workflow
Key Features and Highlights
This workflow is initiated manually and utilizes a Function node to generate a dataset containing two distinct IDs. It then employs an IF condition node to evaluate the ID of each data item, enabling branching based on different conditions. According to the ID value, corresponding name fields are set, demonstrating the fundamental usage of conditional logic and multi-branch processing within n8n.
Core Problem Addressed
This workflow solves the challenge of performing conditional checks and branching based on data fields within an automation process. It allows users to flexibly execute different operations or assignments depending on varying conditions, enhancing the intelligence and adaptability of workflows.
Application Scenarios
- Automated tasks requiring different operations based on data content
- Business processes needing multi-branch handling for various cases
- Learning and demonstration scenarios for n8n’s conditional logic and branching
Main Workflow Steps
- Manually trigger the workflow start (Manual Trigger node)
- Generate data items with two different IDs using a Function node
- Use an IF condition node to evaluate the ID value of each data item
- Route data to two separate Set nodes based on the condition, setting the name field to either “n8n” or “nodemation” accordingly
Involved Systems or Services
- Built-in n8n nodes: Manual Trigger, Function, IF, and Set nodes
- No external systems or third-party services are integrated; this workflow primarily showcases n8n’s native conditional logic and data processing capabilities
Target Audience and Use Value
- Automation workflow developers and beginners seeking to learn and understand n8n’s conditional and branching logic
- Enterprises and technical teams needing to build condition-based operation workflows
- Business users aiming to quickly create flexible and intelligent processes, gaining foundational skills in workflow branching design through this example
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