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n8n-code-javascript

czlonkowski/n8n-skills

Write JavaScript code in n8n Code nodes for data transformation, API calls, and custom logic.

What is n8n-code-javascript?

Expert guidance for writing JavaScript in n8n Code nodes. Use this skill when building workflows that need custom data transformation, aggregation, filtering, API calls, batch processing, or troubleshooting Code node performance. Covers both execution modes, data access patterns, built-in helpers, and production patterns.

  • Access and transform data using $input.all(), $input.first(), and $input.item patterns
  • Make HTTP requests with this.helpers.httpRequest() for unauthenticated calls
  • Work with dates using DateTime (Luxon) and format conversions
  • Choose between 'Run Once for All Items' (faster, recommended) and 'Run Once for Each Item' modes
  • Handle webhook data correctly (nested under .body property)
  • Implement batch processing, aggregation, filtering, and deduplication logic

How to install n8n-code-javascript

npx skills add https://github.com/czlonkowski/n8n-skills --skill n8n-code-javascript
Prerequisites
  • n8n instance with Code node available
  • Basic JavaScript knowledge
  • Understanding of n8n's data structure (items with .json property)
Claude Code
Cursor
Windsurf
Cline

How to use n8n-code-javascript

  1. 1.Choose your execution mode: 'Run Once for All Items' for batch operations (recommended) or 'Run Once for Each Item' for per-item logic
  2. 2.Access your data using $input.all() for all items, $input.first().json for single objects, or $input.item in Each Item mode
  3. 3.Remember webhook data is nested under $json.body, not directly in $json
  4. 4.Return data in canonical form: [{json: {...}}] as an array of objects
  5. 5.Use built-in helpers like this.helpers.httpRequest() for HTTP calls or DateTime for date operations
  6. 6.Test your code and monitor execution time; prefer All Items mode to avoid per-item overhead on large datasets

Use cases

Good for
  • Calculate totals, averages, or statistics across multiple items in a single execution
  • Transform and filter data before sending to downstream nodes or APIs
  • Combine data from multiple upstream nodes using cross-node references
  • Validate and enrich item data with custom business logic
  • Build aggregated reports or deduplicate records from large datasets
Who it's for
  • n8n workflow developers building custom automation
  • Integration engineers handling complex data transformations
  • DevOps professionals optimizing workflow performance
  • Anyone writing JavaScript logic in n8n Code nodes

n8n-code-javascript FAQ

What's the difference between 'Run Once for All Items' and 'Run Once for Each Item' modes?

'Run Once for All Items' executes your code once for the entire dataset and is ~25-30× faster due to lower per-item overhead; use it for aggregation, filtering, and batch operations. 'Run Once for Each Item' runs your code separately for each input item; use it only when items need independent processing or error handling.

Why is my webhook data undefined when I access $json.name?

Webhook data is nested under the .body property. Use $json.body.name or $input.first().json.body.name instead. This is the most common mistake with webhook nodes.

Can I use external libraries like axios or lodash in Code nodes?

Only if your n8n instance has allowlisted them via N8N_RUNNERS_ALLOWED_EXTERNAL_MODULES or N8N_RUNNERS_ALLOWED_BUILT_IN_MODULES. Ask your instance admin or use built-in helpers (this.helpers.httpRequest, DateTime, $jmespath) which are always available.

What's the canonical return format for Code nodes?

Return [{json: {...}}] — an array of objects each with a json property. This format works identically in both execution modes and is unambiguous.

When should I use this skill vs. the n8n-code-tool skill?

Use this skill for Code nodes in workflows. Use n8n-code-tool only if you're writing code for a Custom Code Tool attached to an AI Agent (@n8n/n8n-nodes-langchain.toolCode), which has a different runtime contract.

Full instructions (SKILL.md)

Source of truth, from czlonkowski/n8n-skills.


name: n8n-code-javascript description: Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, making HTTP requests with this.helpers / the $helpers global, working with dates using DateTime, troubleshooting Code node errors, choosing between Code node modes, or doing any custom data transformation in n8n. Always use this skill when a workflow needs a Code node — whether for data aggregation, filtering, API calls, format conversion, batch processing logic, or any custom JavaScript. Covers SplitInBatches loop patterns, cross-iteration data, pairedItem, and real-world production patterns. Also use when asked why a Code node or workflow is slow, which execution mode is faster, or how to cut per-item overhead on large datasets. EXCEPTION — for the AI-agent-callable Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode, a tool attached to an AI Agent), use the n8n-code-tool skill instead; it has a different runtime contract.

JavaScript Code Node

Expert guidance for writing JavaScript code in n8n Code nodes.


Quick Start

// Basic template for Code nodes
const items = $input.all();

// Process data
const processed = items.map(item => ({
  json: {
    ...item.json,
    processed: true,
    timestamp: new Date().toISOString()
  }
}));

return processed;

Essential Rules

  1. Choose "Run Once for All Items" mode (recommended for most use cases)
  2. Access data: $input.all(), $input.first(), or $input.item
  3. Return [{json: {...}}] — the canonical, mode-portable form. In Run Once for All Items mode n8n also auto-wraps a bare return {…} object, so that runs too; what genuinely fails is returning a primitive (string/number) or null.
  4. CRITICAL: Webhook data is under $json.body (not $json directly)
  5. Built-ins available: this.helpers.httpRequest() (no auth — the bare $helpers global is undefined in the task-runner sandbox, so $helpers.httpRequest() throws ReferenceError: $helpers is not defined), DateTime (Luxon), $jmespath(). Not available: this.helpers.httpRequestWithAuthentication (deny-listed), $env (when N8N_BLOCK_ENV_ACCESS_IN_NODE=true), require() (unless allowlisted). For anything beyond a trivial unauthenticated GET (auth, pagination, retries), prefer the HTTP Request node and keep Code nodes for pure logic.
  6. Instance-allowlisted libraries: Self-hosted instances can allowlist modules via N8N_RUNNERS_ALLOWED_BUILT_IN_MODULES and N8N_RUNNERS_ALLOWED_EXTERNAL_MODULES (legacy: NODE_FUNCTION_ALLOW_BUILTIN / NODE_FUNCTION_ALLOW_EXTERNAL). If the user says their instance allows specific modules (e.g. axios, lodash, crypto), use them via require() — don't refuse. If unsure, ask or default to built-ins only.
  7. Wrong skill? If you're writing code for a Custom Code Tool attached to an AI Agent (@n8n/n8n-nodes-langchain.toolCode), stop — that node has a different contract (input via query, must return a string, no $input/$helpers). Use the n8n-code-tool skill.

Mode Selection Guide

The Code node offers two execution modes. Choose based on your use case:

Run Once for All Items (Recommended - Default)

Use this mode for: 95% of use cases

  • How it works: Code executes once regardless of input count
  • Data access: $input.all() or items array
  • Best for: Aggregation, filtering, batch processing, transformations, API calls with all data
  • Performance: Faster for multiple items (single execution)
// Example: Calculate total from all items
const allItems = $input.all();
const total = allItems.reduce((sum, item) => sum + (item.json.amount || 0), 0);

return [{
  json: {
    total,
    count: allItems.length,
    average: total / allItems.length
  }
}];

When to use:

  • ✅ Comparing items across the dataset
  • ✅ Calculating totals, averages, or statistics
  • ✅ Sorting or ranking items
  • ✅ Deduplication
  • ✅ Building aggregated reports
  • ✅ Combining data from multiple items

Run Once for Each Item

Use this mode for: Specialized cases only

  • How it works: Code executes separately for each input item
  • Data access: $input.item or $item
  • Best for: Item-specific logic, independent operations, per-item validation
  • Performance: Slower for large datasets (multiple executions)
// Example: Add processing timestamp to each item
const item = $input.item;

return [{
  json: {
    ...item.json,
    processed: true,
    processedAt: new Date().toISOString()
  }
}];

When to use:

  • ✅ Each item needs independent API call
  • ✅ Per-item validation with different error handling
  • ✅ Item-specific transformations based on item properties
  • ✅ When items must be processed separately for business logic

Decision Shortcut:

  • Need to look at multiple items? → Use "All Items" mode
  • Each item completely independent? → Use "Each Item" mode
  • Not sure? → Use "All Items" mode (you can always loop inside)

Why "All Items" is faster — the per-item boundary

Mode choice is the single biggest performance lever in a Code node. Each per-item execution context costs a setup tax (measured on n8n 2.x, small records):

What runs per itemApprox. cost
Code All Items (one run for the whole set)~0.02 ms/item
Expression in any node (IF / Set / etc.)~0.2 ms/item
Code Each Item (a full sandbox per item)~0.6 ms/item — ~25–30× All Items

So Run Once for Each Item over 10k items is ~6 s of pure overhead vs ~0.2 s in Run Once for All Items. Use Each Item only when an item genuinely needs isolating (independent error handling, or a per-item API call you can't batch); otherwise loop inside one All Items node. Expression complexity itself is essentially free (~90% of the cost is the per-item context, not your code) and every node→node hop re-copies all items — so reduce the number of per-item boundaries, don't micro-optimize each one. Below a few hundred items none of this matters; reach for it on the hot path (large item counts, little I/O).

See: DATA_ACCESS.md → "Mode Performance" for the corollaries, hop costs, and scale check.


Data Access Patterns

Four ways to pull data from upstream nodes. Note $node["Name"] and $('Name') need .first().json or .all() — never .json directly.

const allItems = $input.all();          // 1. All items — batch ops, aggregation (most common)
const data = $input.first().json;       // 2. First item — single objects, API responses
const item = $input.item;               // 3. Current item — "Each Item" mode ONLY (undefined otherwise)
const other = $node["Webhook"].json;    // 4. Named node — combine data across nodes

Always access fields via .json (e.g. item.json.name, not item.name), and prefer the explicit $input.first().json.field over a bare $json.field.

See: DATA_ACCESS.md for the full guide — every pattern with examples, a decision tree, and the common mistakes (mutating originals, missing length checks, $input.item in the wrong mode).


Critical: Webhook Data Structure

MOST COMMON MISTAKE: Webhook data is nested under .body

// ❌ WRONG - Will return undefined
const name = $json.name;
const email = $json.email;

// ✅ CORRECT - Webhook data is under .body
const name = $json.body.name;
const email = $json.body.email;

// Or with $input
const webhookData = $input.first().json.body;
const name = webhookData.name;

Why: Webhook node wraps all request data under body property. This includes POST data, query parameters, and JSON payloads.

See: DATA_ACCESS.md for full webhook structure details


Return Format Requirements

Canonical form: [{json: {...}}] — an array of objects each with a json property. It is unambiguous and works identically in both execution modes, so make it your default.

In Run Once for All Items mode n8n auto-normalizes looser shapes on the way out: a single bare object, or an array of bare objects, gets wrapped under json for you. So return {foo: 1} runs. What has nothing to wrap — and therefore genuinely fails at runtime with "Code doesn't return items properly" — is a primitive (string/number/boolean) or null/undefined. (n8n-mcp ≥ 2.63.0 no longer flags a bare-object return as an error; it reflects this auto-wrap behavior.)

Correct Return Formats

// ✅ Single result
return [{
  json: {
    field1: value1,
    field2: value2
  }
}];

// ✅ Multiple results
return [
  {json: {id: 1, data: 'first'}},
  {json: {id: 2, data: 'second'}}
];

// ✅ Transformed array
const transformed = $input.all()
  .filter(item => item.json.valid)
  .map(item => ({
    json: {
      id: item.json.id,
      processed: true
    }
  }));
return transformed;

// ✅ Empty result (when no data to return)
return [];

// ✅ Conditional return
if (shouldProcess) {
  return [{json: processedData}];
} else {
  return [];
}

Non-Canonical Returns (auto-wrapped — prefer the canonical form)

// ⚠️ Auto-wrapped in All Items mode → [{json: {field: value}}]. Runs, but prefer the array form.
return {
  json: {field: value}
};

// ⚠️ Auto-wrapped → [{json: {field: value}}]. Runs, but add the json wrapper for clarity.
return [{field: value}];

// ✅ Fine — input items already carry a json property, so returning them unchanged is a valid passthrough
return $input.all();

Genuinely Broken Returns

// ❌ FAILS: primitive — n8n errors "Code doesn't return items properly"
return "processed";

// ❌ FAILS: null / undefined — nothing to pass to the next node
return null;

Why it matters: The canonical [{json: {...}}] is unambiguous and behaves the same in both modes. n8n auto-normalizes bare objects and arrays-of-objects in All Items mode, but a primitive or null return has nothing to wrap and stops execution.

See: ERROR_PATTERNS.md #3 for detailed error solutions


Common Patterns Overview

The most useful Code node shapes from production workflows. One quick example — sum/aggregate across all items:

const items = $input.all();
const total = items.reduce((sum, item) => sum + (item.json.amount || 0), 0);
return [{ json: { total, count: items.length, average: total / items.length } }];

The full library covers 10 patterns: multi-source aggregation, regex filtering, markdown/structured-text parsing, JSON comparison, CRM/form transformation, release processing, array transformation with computed fields, Slack Block Kit formatting, top-N ranking, and string-aggregation reporting — each with variations.

See: COMMON_PATTERNS.md for the 10 detailed production patterns (and the Best Practices section: validate input, try-catch, filter-early, array methods over loops, console.log debugging).


Error Prevention - Top Mistakes

The recurring Code node failures, in rough frequency order:

  1. Empty code / missing return — always end with return [...], and make sure every branch returns.
  2. Expression syntax as code — don't write {{ }} where JavaScript belongs (return {{ $json.x }} is a syntax error). Use `${$json.field}` or $input.first().json.field. {{ }} inside a string literal is fine — it's just literal text n8n won't evaluate.
  3. Return shape — prefer return [{json:{...}}]. A bare return {…} auto-wraps in All Items mode, but returning a primitive (string/number) or null is what actually fails.
  4. Missing null checks — use optional chaining: item.json?.user?.email || 'fallback'.
  5. Webhook body nesting — $json.email is undefined; use $json.body.email.
  6. Auth helpers blocked (httpRequestWithAuthentication) and $env blocked — route secrets through credentials/HTTP Request node, not the Code node sandbox.

See: ERROR_PATTERNS.md for the comprehensive guide — each error with wrong/right code, escaping rules, the sandbox restrictions (Errors #6–#7), a prevention checklist, and a quick error-message lookup table.


Built-in Functions & Helpers

// HTTP requests (no auth — see sandbox note below)
const res = await this.helpers.httpRequest({ method: 'GET', url: 'https://api.example.com/data' });

// DateTime (Luxon): now, formatting, arithmetic
const now = DateTime.now();
const formatted = now.toFormat('yyyy-MM-dd');
const tomorrow = now.plus({ days: 1 });

// $jmespath() — query JSON structures
const adults = $jmespath($input.first().json, 'users[?age >= `18`]');

// $getWorkflowStaticData() — data that persists across executions

Sandbox (since n8n v2.0, JsTaskRunnerSandbox): the accessor is this.helpers.httpRequest() — the bare $helpers global is undefined here ($helpers.httpRequest() throws ReferenceError). Inside a nested async function where this is lost, call it as await fn.call(this, ...). this.helpers.httpRequestWithAuthentication and this.helpers.requestWithAuthenticationPaginated are deny-listed (→ UnsupportedFunctionError); for authenticated calls use an HTTP Request node with the credential (preferred), a sub-workflow, or a manual Authorization: Bearer ${token} header on this.helpers.httpRequest() only when the token already flows through the workflow as data. $env is blocked when N8N_BLOCK_ENV_ACCESS_IN_NODE=true; require() works only for allowlisted modules. Buffer, URL, and standard JS globals (Math, JSON, Object, Array) always work.

See: BUILTIN_FUNCTIONS.md for the complete reference — full httpRequest options, all DateTime/Luxon operations, JMESPath patterns, static-data use cases, and the sandbox-restriction details.


Best Practices

  • Validate input first — guard for empty arrays / missing .json before processing.
  • Try-catch risky work (HTTP calls) and return an error object instead of crashing.
  • Prefer array methods (filter/map/reduce) over manual loops.
  • Filter early, transform late — shrink the dataset before expensive work.
  • Descriptive names and console.log() for debugging (output goes to the browser console).

See: COMMON_PATTERNS.md → "Best Practices" for code examples of each.


Production Gotchas

Hard-won lessons from real deployments — summarized here, with code in DATA_ACCESS.md → "Production Gotchas":

  • SplitInBatches outputs are counterintuitive: main[0] = done (fires once, after all batches), main[1] = each batch (the loop body). Add a Limit 1 node after the done output as a safety.
  • Iteration count is the cost: each loop iteration re-runs the whole body through the engine (~0.8 ms overhead each). batchSize: 1 is the loop equivalent of Each Item — use the largest batch your real constraint (rate limit, page size, memory) allows, or don't loop at all.
  • Cross-iteration accumulation (CRITICAL): after the loop, $('Node Inside Loop').all() returns ONLY the last iteration's items. Accumulate via $getWorkflowStaticData('global') (reset before, push inside, read after).
  • pairedItem: when emitting items that don't map 1:1 to input, set pairedItem: { item: i } or downstream Set nodes fail with paired_item_no_info.
  • Node reference syntax: $('Node').first().json or $('Node').all() — never .json directly on the reference.
  • Float precision: compare currency at the cent level — Math.round(a*100) !== Math.round(b*100) — to avoid false positives from float noise.

When to Use Code Node

Before reaching for a Code node, walk the transform gatekeeper in the n8n Expression Syntax skill: expression → arrow-function IIFE inside an Edit Fields field → Code node, in that order. The first two paths cover most "transform this data" tasks at ~1–10ms each, versus the Code node's sandboxed ~500–1000ms — a ~100x gap on pure single-item shaping, with no functional difference. The Code node earns its place only for whole-dataset aggregation ($input.all()), allowlisted libraries, or async work. And before writing code for crypto (HMAC, hashing, signing) or XML/SOAP/RSS parsing, check for a native node — n8n has a Crypto node (nodes-base.crypto) and an XML node (nodes-base.xml) that cover those without any JavaScript. Dropping into Code for something a native node already does is one of the most common false positives.

Use Code node when:

  • ✅ Complex transformations requiring multiple steps
  • ✅ Custom calculations or business logic
  • ✅ Recursive operations
  • ✅ API response parsing with complex structure
  • ✅ Multi-step conditionals
  • ✅ Data aggregation across items

Consider other nodes when:

  • ❌ Simple field mapping → Use Set node
  • ❌ Basic filtering → Use Filter node
  • ❌ Simple conditionals → Use IF or Switch node
  • ❌ HTTP requests only → Use HTTP Request node

Code node excels at: Complex logic that would require chaining many simple nodes


Integration with Other Skills

Works With:

n8n Expression Syntax:

  • Expressions use {{ }} syntax in other nodes
  • Code nodes use JavaScript directly (no {{ }})
  • When to use expressions vs code

n8n MCP Tools Expert:

  • How to find Code node: search_nodes({query: "code"})
  • Get configuration help: get_node({nodeType: "nodes-base.code"})
  • Validate code: validate_node({nodeType: "nodes-base.code", config: {...}})

n8n Node Configuration:

  • Mode selection (All Items vs Each Item)
  • Language selection (JavaScript vs Python)
  • Understanding property dependencies

n8n Workflow Patterns:

  • Code nodes in transformation step
  • Webhook → Code → API pattern
  • Error handling in workflows

n8n Validation Expert:

  • Validate Code node configuration
  • Handle validation errors
  • Auto-fix common issues

Quick Reference Checklist

Before deploying Code nodes, verify:

  • Code is not empty - Must have meaningful logic
  • Return statement exists - Returns items, not a primitive/null
  • Canonical return format - Each item: {json: {...}} (bare objects auto-wrap, but be explicit)
  • Data access correct - Using $input.all(), $input.first(), or $input.item
  • No {{ }} written as code - Use JavaScript template literals: `${value}`
  • Error handling - Guard clauses for null/undefined inputs
  • Webhook data - Access via .body if from webhook
  • Mode selection - "All Items" for most cases
  • Performance - Prefer map/filter over manual loops
  • Output consistent - All code paths return same structure

Additional Resources

Related Files

n8n Documentation


Ready to write JavaScript in n8n Code nodes! Start with simple transformations, use the error patterns guide to avoid common mistakes, and reference the pattern library for production-ready examples.