Extract insights & analyse YouTube comments via AI agent chat

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Video Guide I prepared a detailed guide to help you set up your workflow effectively, enabling you to extract insights from YouTube for content generation using an AI agent. [![Test](https://cflobd...

Best for

Market Research automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolworkflow, @n8n/n8n-nodes-langchain.memorypostgreschat, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.httprequest, n8n-nodes-base.executeworkflowtrigger

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Mark Shcherbakov.

Original n8n.io source

1.1 Workflow description

Title: Extract insights & analyse YouTube comments via AI agent chat
Workflow name: Extract insights & analyse YouTube comments via AI agent chat

Video Guide

I prepared a detailed guide to help you set up your workflow effectively, enabling you to extract insights from YouTube for content generation using an AI agent.

Youtube Link

Who is this for?

This workflow is ideal for content creators, marketers, and analysts looking to enhance their YouTube strategies through data-driven insights. It’s particularly beneficial for individuals wanting to understand audience preferences and improve their video content.

What problem does this workflow solve?

Navigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.

What this workflow does

The workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:

Extracting user preferences from comments.
Transcribing video content for enhanced understanding.
Analyzing thumbnails via AI for maximum viewer engagement insights.

AI Insights Extraction: Automatically pulls comments and metrics from selected YouTube creators to evaluate trends and gaps.
Dynamic Video Planning: Uses transcriptions to help creators outline video scripts and topics based on audience interest.
Thumbnail Assessment: Provides analysis on thumbnail designs to improve click-through rates and viewer attraction.

Setup

N8N Workflow

API Setup:
- Create a Google Cloud project and enable the YouTube Data API.
- Generate an API key to be included in your workflow requests.
YouTube Creator and Video Selection:
- Start by defining a request to identify top creators based on their video views.
- Capture the YouTube video IDs for further analysis of comments and other video metrics.
Comment Analysis:
- Gather comments associated with the selected videos and analyze them for user insights.
Video Transcription:
- Utilize the insights from transcriptions to formulate content plans.
Thumbnail Analysis:
- Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1

Block 5 - get_channel_details

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 6 - get_video_description

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 7 - get_list_of_videos

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 8 - get_list_of_comments

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 9 - search

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 10 - analyze_thumbnail

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 11 - video_transcription

Type / Role: @n8n/n8n-nodes-langchain.toolWorkflow - toolWorkflow
Config choices: Version 1.2

Block 12 - Postgres Chat Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryPostgresChat - memoryPostgresChat
Config choices: Version 1.3

Block 13 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.6

Block 14 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 15 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 16 - Get Comments

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - Execute Workflow Trigger

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1

Block 18 - Get Channel Details

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 19 - Get Video Description

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 20 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 21 - Run Query

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 22 - Get Videos by Channel

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 23 - Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 24 - Switch

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Showing the first 24 of 29 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Extract insights & analyse YouTube comments via AI agent chat
Complexity	advanced
Nodes	29
Categories	Market Research, AI Summarization
Author	Mark Shcherbakov
Published	13 Dec 2024

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2636/2636.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Extract insights & analyse YouTube comments via AI agent chat do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

Mark Shcherbakov

16 workflows

Nodes

n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.toolworkflow @n8n/n8n-nodes-langchain.memorypostgreschat @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.httprequest n8n-nodes-base.executeworkflowtrigger

Complexity

advanced

Published 13 Dec 2024

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2636/2636.json

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Extract insights & analyse YouTube comments via AI agent chat

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Video Guide

Who is this for?

What problem does this workflow solve?

What this workflow does

Setup

N8N Workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note9

Block 2 - Sticky Note7

Block 3 - Sticky Note6

Block 4 - OpenAI Chat Model

Block 5 - get_channel_details

Block 6 - get_video_description

Block 7 - get_list_of_videos

Block 8 - get_list_of_comments

Block 9 - search

Block 10 - analyze_thumbnail

Block 11 - video_transcription

Block 12 - Postgres Chat Memory

Block 13 - AI Agent

Block 14 - When chat message received

Block 15 - Sticky Note

Block 16 - Get Comments

Block 17 - Execute Workflow Trigger

Block 18 - Get Channel Details

Block 19 - Get Video Description

Block 20 - Edit Fields

Block 21 - Run Query

Block 22 - Get Videos by Channel

Block 23 - Response

Block 24 - Switch

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions