⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis

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Important notice

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

1. Workflow Overview

YouTube Video AI Agent Workflow This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the...

Best for

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

Tools used

n8n-nodes-base.code, n8n-nodes-base.executeworkflowtrigger, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.memorybufferwindow, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitout

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: ⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis
Workflow name: ⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis

🎥 YouTube Video AI Agent Workflow

This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the details and transcript are retrieved, you can chat with the AI agent to explore or analyze the video's content in a conversational and insightful manner.

🌟 How the Workflow Works

🔗 Input Video ID: The user provides a YouTube video ID as input to the workflow.
📄 Data Retrieval: The workflow fetches essential details about the video (e.g., title, description, upload date) and retrieves its transcript using YouTube's Data API and additional tools for transcript extraction.
🤖 AI Agent Interaction: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a conversation with the agent about the video's content, such as:
- Summarizing the transcript.
- Analyzing key points.
- Clarifying specific sections.
💬 Dynamic Responses: The AI agent uses natural language processing (NLP) to generate contextual and accurate responses based on the video data, ensuring a smooth and intuitive interaction.

🚀 Use Cases

📊 Content Analysis: Quickly analyze long YouTube videos by querying specific sections or extracting summaries.
📚 Research and Learning: Gain insights from educational videos or tutorials without watching them entirely.
✍️ Content Creation: Repurpose transcripts into blogs, social media posts, or other formats efficiently.
♿ Accessibility: Provide an alternative, text-based way to interact with video content for users who prefer reading over watching.

🛠️ Resources for Getting Started

Google Cloud Console (for API setup): Visit Google Cloud's Get Started Guide to configure your API access.
YouTube Data API Key Setup: Follow this guide to create and manage your YouTube Data API key.
Install n8n Locally: Refer to this installation guide for setting up n8n on your local machine.

✨ Sample Prompts

"Tell me about this YouTube video with id: JWfNLF_g_V0"

"Can you provide a list of key takeaways from this video with id: [youtube-video-id]?"

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 - Get YouTube Transcript

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 2 - When Executed by Another Workflow

Type / Role: n8n-nodes-base.executeWorkflowTrigger - executeWorkflowTrigger
Config choices: Version 1.1

Block 3 - When chat message received

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

Block 4 - Sticky Note

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

Block 5 - Sticky Note1

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

Block 6 - Sticky Note2

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

Block 7 - Window Buffer Memory

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

Block 8 - Sticky Note13

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

Block 9 - gpt-4o-mini1

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

Block 10 - YouTube Video Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 11 - Sticky Note10

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

Block 12 - Create YouTube API URL

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 13 - Split Out Transcript Segments

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

Block 14 - Combine Transcript Segments

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

Block 15 - Get YouTube Video Details

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

Block 16 - Merge YouTube Details & Transcript

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3

Block 17 - Create One JSON Object

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

Block 18 - Respond with YouTube Details & Transcript

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

Block 19 - Workflow Variables

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

Block 20 - Sticky Note12

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

Block 21 - Sticky Note14

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

Block 22 - Sticky Note15

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

Block 23 - Sticky Note3

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

Block 24 - YouTube Processing Tool

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

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

3. Summary Table

Workflow	⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis
Complexity	advanced
Nodes	29
Categories	Market Research, AI RAG
Author	Joseph LePage
Published	20 Feb 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2956/2956.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 RAG workflows

Frequently asked questions

What does ⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis do?

YouTube Video AI Agent Workflow This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the...

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 RAG use case.

Joseph LePage

33 workflows

Nodes

n8n-nodes-base.code n8n-nodes-base.executeworkflowtrigger @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.memorybufferwindow @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.agent n8n-nodes-base.splitout

Complexity

advanced

Published 20 Feb 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/2956/2956.json

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⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎥 YouTube Video AI Agent Workflow

🌟 How the Workflow Works

🚀 Use Cases

🛠️ Resources for Getting Started

✨ Sample Prompts

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Get YouTube Transcript

Block 2 - When Executed by Another Workflow

Block 3 - When chat message received

Block 4 - Sticky Note

Block 5 - Sticky Note1

Block 6 - Sticky Note2

Block 7 - Window Buffer Memory

Block 8 - Sticky Note13

Block 9 - gpt-4o-mini1

Block 10 - YouTube Video Agent

Block 11 - Sticky Note10

Block 12 - Create YouTube API URL

Block 13 - Split Out Transcript Segments

Block 14 - Combine Transcript Segments

Block 15 - Get YouTube Video Details

Block 16 - Merge YouTube Details & Transcript

Block 17 - Create One JSON Object

Block 18 - Respond with YouTube Details & Transcript

Block 19 - Workflow Variables

Block 20 - Sticky Note12

Block 21 - Sticky Note14

Block 22 - Sticky Note15

Block 23 - Sticky Note3

Block 24 - YouTube Processing Tool

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