(5/5)

YouTube Comment Sentiment Analyzer

Automated workflow: YouTube Comment Sentiment Analyzer. This workflow integrates 11 different services: stickyNote, httpRequest, splitOut, noOp, set. It contains 22 nodes and follows best practices for error handling and security.

Integrations Used (2)

Google Sheets

HTTP Request

Workflow Structure (14 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Google Sheets

Get Video Urls from Google Sheet

check next fetch time is available or not

check next fetch time is before the current time

Http Request

Get Comments for video urls

No Op

No Operation, do nothing

Check Success Response

Split Out

No Op

No Operation, do nothing1

No Op

Analyze sentiment of every comment

No Op

OpenAI Chat Model

Set

Format fields as required to save in google sheet

Google Sheets

Insert and update comment in google sheet

Google Sheets

Update last fetched time and next_fetch_time

Node Types:

logic

default

action

http

transform

trigger

Requires credentials

Prerequisites

Required Credentials (3)

Google

Used by: Get Video Urls from Google Sheet, Insert and update comment in google sheet +1 more

Docs

Http Query Auth

Used by: Get Comments for video urls

Docs

OpenAI

Used by: OpenAI Chat Model

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min

Score: 55/100

Conditional Logic

4 Integrations

When to Use This Workflow

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

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.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "id": "xaC6zL4bWBo14xyJ",
  "meta": {
    "instanceId": "workflow-3d3a83fb",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:54.777612",
    "updatedAt": "2025-09-29T07:07:54.777621",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "YouTube Comment Sentiment Analyzer",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...