(5/5)

youtube chapter generator

Automated workflow: youtube chapter generator. This workflow integrates 10 different services: stickyNote, youTube, httpRequest, lmChatGoogleGemini, chainLlm. It contains 19 nodes and follows best practices for error handling and security.

Integrations Used (2)

HTTP Request

Youtube

Workflow Structure (10 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Set

Set Video ID

You Tube

Get Video Meta Data

Http Request

Get Caption ID

Http Request

Get Captions

Extract From File

Extract Captions

No Op

Tag Chapters in Description

You Tube

Update Chapters

No Op

Google Gemini Chat Model

No Op

Structured Captions

Node Types:

trigger

http

default

transform

Requires credentials

Prerequisites

Required Credentials (2)

Google Palm

Used by: Google Gemini Chat Model

Docs

You Tube

Used by: Get Caption ID, Get Captions +2 more

Docs

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~25 min

Score: 35/100

5 Integrations

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "SCUbdpVPX4USbQmr",
  "meta": {
    "instanceId": "workflow-d05ba977",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:44.713509",
    "updatedAt": "2025-09-29T07:07:44.713525",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "youtube chapter generator",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...