Execute Code Node

The Execute Code node lets you run your own code (Python or JavaScript) when you need something the other nodes can’t do. It’s like having a custom tool that does exactly what you need. Don’t know how to code? No problem! There’s a “Generate with AI” button that writes the code for you - just describe what you want in plain English.

When to Use

Changing data formats - Rearrange, filter, or combine data
Calculations - Math, percentages, date calculations
Text processing - Find and replace, split text, format names
Connecting to special services - Talk to services not in the app list
Creating files - Make CSV files, JSON files, etc.
Custom rules - Anything specific to your business

Click “Generate with AI” and describe what you want in plain English. The AI will write the code for you!

Accessing Input Data

All previous node outputs are available in the input object:

Python

# Access webhook data
customer_email = input["webhook_1"]["body"]["email"]

# Access LLM response
summary = input["llm_1"]["response"]

# Access loop variables
current_item = input["loop_1"]["currentItem"]

JavaScript

// Access webhook data
const customerEmail = input.webhook_1.body.email;

// Access LLM response
const summary = input.llm_1.response;

// Access loop variables
const currentItem = input.loop_1.currentItem;

Returning Data

Return a JSON-compatible value to pass data to subsequent nodes:

Python

# Return a simple value
return "processed"

# Return an object
return {
    "status": "success",
    "count": 42,
    "items": ["a", "b", "c"]
}

JavaScript

// Return a simple value
return "processed";

// Return an object
return {
    status: "success",
    count: 42,
    items: ["a", "b", "c"]
};

Example: Data Transformation

Transform API response data into a specific format:

# Input: raw API response with nested data
raw_data = input["http_request_1"]["body"]["data"]["users"]

# Transform into simplified format
users = []
for user in raw_data:
    users.append({
        "id": user["id"],
        "name": f"{user['firstName']} {user['lastName']}",
        "email": user["contactInfo"]["primaryEmail"],
        "active": user["status"] == "ACTIVE"
    })

# Sort by name
users.sort(key=lambda x: x["name"])

return {
    "users": users,
    "totalCount": len(users)
}

Example: CSV Generation

Create a CSV file from data:

import csv
import io

data = input["external_api_1"]["rows"]

output = io.StringIO()
writer = csv.DictWriter(output, fieldnames=["name", "email", "date"])
writer.writeheader()
writer.writerows(data)

csv_content = output.getvalue()

return {
    "csv": csv_content,
    "rowCount": len(data)
}

Example: Regex Extraction

Extract patterns from text:

import re

text = input["llm_1"]["response"]

# Extract all email addresses
emails = re.findall(r'[\w\.-]+@[\w\.-]+\.\w+', text)

# Extract phone numbers
phones = re.findall(r'\+?[\d\-\(\)\s]{10,}', text)

# Extract URLs
urls = re.findall(r'https?://[^\s<>"{}|\\^`\[\]]+', text)

return {
    "emails": list(set(emails)),
    "phones": phones,
    "urls": urls
}

Example: API Call

Make HTTP requests to external services:

Python

import requests

api_key = input["start_1"]["startingInputData"]["apiKey"]
query = input["llm_1"]["response"]

response = requests.get(
    "https://api.example.com/search",
    headers={"Authorization": f"Bearer {api_key}"},
    params={"q": query}
)

if response.status_code == 200:
    return {"success": True, "data": response.json()}
else:
    return {"success": False, "error": response.text}

JavaScript

const apiKey = input.start_1.startingInputData.apiKey;
const query = input.llm_1.response;

const response = await fetch(
    `https://api.example.com/search?q=${encodeURIComponent(query)}`,
    {
        headers: { "Authorization": `Bearer ${apiKey}` }
    }
);

if (response.ok) {
    return { success: true, data: await response.json() };
} else {
    return { success: false, error: await response.text() };
}

Example: Date/Time Calculations

Calculate business days, deadlines, etc:

from datetime import datetime, timedelta

order_date = datetime.fromisoformat(input["webhook_1"]["body"]["orderDate"])

# Add 5 business days
days_added = 0
current_date = order_date
while days_added < 5:
    current_date += timedelta(days=1)
    if current_date.weekday() < 5:  # Monday-Friday
        days_added += 1

return {
    "orderDate": order_date.isoformat(),
    "estimatedDelivery": current_date.isoformat(),
    "businessDays": 5
}

Let AI Write the Code For You

Click the “Generate with AI” button and describe what you want in plain English: Example: “Find all phone numbers and email addresses in the text” Example: “Calculate the total of all the prices and add 10% tax” Example: “Turn this list of items into a CSV format” The AI will write the code for you based on what’s available from previous nodes.

Be specific about what you want. The more detail you give, the better the code will be.

Available Libraries

Python

Pre-installed packages include:

requests - HTTP client
json - JSON parsing (built-in)
re - Regular expressions (built-in)
datetime - Date/time handling (built-in)
csv - CSV processing (built-in)
pandas - Data analysis
numpy - Numerical computing

JavaScript

Node.js built-ins plus:

fetch - HTTP client (built-in)
lodash - Utility functions
moment - Date handling
csv-parse - CSV processing

Need a package that’s not available? Contact support to request additions.

Error Handling

Use try-catch to handle errors gracefully:

Python

try:
    result = risky_operation(input["data"])
    return {"success": True, "result": result}
except ValueError as e:
    return {"success": False, "error": f"Invalid value: {e}"}
except Exception as e:
    return {"success": False, "error": str(e)}

JavaScript

try {
    const result = riskyOperation(input.data);
    return { success: true, result };
} catch (error) {
    return { success: false, error: error.message };
}

Security

Code runs in a sandboxed environment with limited permissions. You cannot:

Access the file system beyond temp directories
Make unlimited network requests
Run indefinitely (timeout enforced)

This sandboxing protects your workflows and prevents accidental damage.

Tips

Use print() (Python) or console.log() (JavaScript) for debugging. Output appears in stdOut.

Keep code focused on one task. For complex logic, use multiple Execute Code nodes with clear purposes.

Return structured objects rather than strings when possible. This makes it easier for subsequent nodes to access specific values.

Settings

name

string

default:"Execute Code"

What to call this node (shown on the canvas).

key

string

default:"execute_code_1"

A short code to reference this node’s result.

language

string

required

Which coding language to use:

python - Good for data work, popular and readable
javascript - Good for web stuff

code

string

required

Your code. You can access data from previous nodes using input["node_name"]["value"].

timeout

number

default:"30000"

How long to let the code run before stopping it (in milliseconds). 30000 = 30 seconds.

Outputs

result

any

Whatever your code sends back (using return).

stdOut

string

Anything you printed (using print() in Python or console.log() in JavaScript).

stdErr

string

Error messages if something went wrong.

exitCode

number

0 if everything worked, something else if it didn’t.

success

boolean

True if the code ran without crashing.

executionTime

number

How long it took to run (in milliseconds).

files

array

Any files your code created.

Ask AI

For text understanding tasks, Ask AI may be more appropriate than code.

HTTP Request

For simple API calls, HTTP Request node is easier than code.

Overview

Triggers

Actions

Logic

Execute Code Node

Execute Code Node

When to Use

Accessing Input Data

Python

JavaScript

Returning Data

Python

JavaScript

Example: Data Transformation

Example: CSV Generation

Example: Regex Extraction

Example: API Call

Python

JavaScript

Example: Date/Time Calculations

Let AI Write the Code For You

Available Libraries

Python

JavaScript

Error Handling

Python

JavaScript

Security

Tips

Settings

Outputs

Ask AI

HTTP Request

Overview

Triggers

Actions

Logic

​Execute Code Node

​When to Use

​Accessing Input Data

​Python

​JavaScript

​Returning Data

​Python

​JavaScript

​Example: Data Transformation

​Example: CSV Generation

​Example: Regex Extraction

​Example: API Call

​Python

​JavaScript

​Example: Date/Time Calculations

​Let AI Write the Code For You

​Available Libraries

​Python

​JavaScript

​Error Handling

​Python

​JavaScript

​Security

​Tips

​Settings

​Outputs

​Related Nodes

Ask AI

HTTP Request

Execute Code Node

When to Use

Accessing Input Data

Python

JavaScript

Returning Data

Python

JavaScript

Example: Data Transformation

Example: CSV Generation

Example: Regex Extraction

Example: API Call

Python

JavaScript

Example: Date/Time Calculations

Let AI Write the Code For You

Available Libraries

Python

JavaScript

Error Handling

Python

JavaScript

Security

Tips

Settings

Outputs

Related Nodes