Data Processing Nodes

Data processing nodes help you manipulate, transform, and work with various data types and structures.

JSON Parse Node

Purpose

Convert JSON-formatted string into a JavaScript object for further processing.

Configuration

• Input: JSON string
• Output: Parsed JavaScript object

Example

{
  "input": "{\"name\":\"Alice\",\"age\":30}",
  "output": { "name": "Alice", "age": 30 }
}

Use Cases

• Parse API responses
• Transform string data
• Prepare complex data structures

JSON Stringify Node

Purpose

Convert a JavaScript object into a JSON-formatted string.

Configuration

• Input: JavaScript object
• Output: JSON string

Example

{
  "input": { "name": "Bob", "scores": [85, 90, 92] },
  "output": "{\"name\":\"Bob\",\"scores\":[85,90,92]}"
}

Use Cases

• Prepare data for API requests
• Store complex data as string
• Standardize data format

Transform Data Node

Purpose

Perform complex data transformations using JavaScript-like expressions.

Configuration

• Mapping: Define transformation rules
• Input: Source data object
• Output: Transformed data

Example

// Transform user object
Input: {
  "user": {
    "firstName": "John",
    "lastName": "Doe",
    "age": 35
  }
}
Transformation: {
  "fullName": "{{ user.firstName }} {{ user.lastName }}",
  "isAdult": "{{ user.age >= 18 }}"
}
Output: {
  "fullName": "John Doe",
  "isAdult": true
}

Use Cases

• Rename object keys
• Combine fields
• Apply conditional logic
• Flatten/nest data structures

Set Variable Node

Purpose

Store a value in a workflow-level variable for later use.

Configuration

• Variable Name: Unique identifier
• Value: Any data type to store

Example

{
  "variableName": "userEmail",
  "value": "[email protected]"
}

Use Cases

• Persist data across workflow steps
• Share data between disconnected nodes
• Create reusable workflow variables

Get Variable Node

Purpose

Retrieve a previously set workflow variable.

Configuration

• Variable Name: Name of stored variable
• Output: Stored value

Example

{
  "variableName": "userEmail",
  "output": "[email protected]"
}

Use Cases

• Access workflow-level variables
• Retrieve data set in earlier steps
• Create dynamic workflows

Best Practices

• Use type-appropriate parsing
• Handle potential parsing errors
• Keep transformations simple and readable
• Use variables for complex, reusable data