AI Chatbot for YouTube Summarization & Analysis

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "id": "GM9Qxzul4NPQpJkn",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "\u26a1\ud83d\udcfd\ufe0f Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis",
  "tags": [],
  "nodes": [
    {
      "id": "10cfb27f-ef93-41cd-972e-37dfdcab97ad",
      "name": "Get YouTube Transcript",
      "type": "n8n-nodes-base.code",
      "position": [
        20,
        360
      ],
      "parameters": {
        "jsCode": "// Get all input items\nconst items = $input.all();\nconst results = [];\n\n// Import the YoutubeTranscript module from the youtube-transcript package\n// npm i -g youtube-transcript\nconst { YoutubeTranscript } = require('youtube-transcript');\n\nfor (let i = 0; i < items.length; i++) {\n  // Extract the VIDEO_ID from the input JSON\n  const VIDEO_ID = items[i].json.VIDEO_ID;\n  \n  if (!VIDEO_ID) {\n    throw new Error('The video ID parameter is empty.');\n  }\n  \n  try {\n    // Fetch the transcript for the provided video ID\n    const transcript = await YoutubeTranscript.fetchTranscript(VIDEO_ID);\n    \n    // Append the fetched transcript data to the results\n    results.push({\n      json: {\n        youtubeId: VIDEO_ID,\n        transcript,\n      },\n    });\n  } catch (error) {\n    // In case of an error, add an error message to the output for this item\n    results.push({\n      json: {\n        youtubeId: VIDEO_ID,\n        error: error.message,\n      },\n    });\n  }\n}\n\n// Return the results to be used by the next node in the workflow\nreturn results;\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a7b7740e-7470-4ce0-a698-6043559eb781",
      "name": "When Executed by Another Workflow",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        -580,
        180
      ],
      "parameters": {
        "inputSource": "jsonExample",
        "jsonExample": "{\n  \"query\": {\n\t\"videoId\": \"YouTube video id\"\n  }\n}"
      },
      "typeVersion": 1.1
    },
    {
      "id": "f6c6cbc2-ba2d-4f16-a3f2-ad4d6280f6b6",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -180,
        -720
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "ac051c4a-0dc7-4f75-97a7-cb4bed0c8845",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -860
      ],
      "parameters": {
        "color": 6,
        "width": 580,
        "height": 380,
        "content": "## \ud83e\udd16 AI Agent Chatbot for YouTube Videos"
      },
      "typeVersion": 1
    },
    {
      "id": "1a737d98-747e-40ae-9075-2b30c93f83a6",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        340,
        -460
      ],
      "parameters": {
        "width": 280,
        "height": 280,
        "content": "## \ud83d\udee0\ufe0f YouTube Video Processing Tool"
      },
      "typeVersion": 1
    },
    {
      "id": "54d39566-a028-48be-87d6-4412d4c53f33",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -260,
        -460
      ],
      "parameters": {
        "color": 5,
        "width": 280,
        "height": 280,
        "content": "## OpenAI\nhttps://platform.openai.com/api-keys"
      },
      "typeVersion": 1
    },
    {
      "id": "90468bc1-9f91-49ab-bde3-d823d7ac6d05",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        140,
        -340
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "fe54da1d-05e7-4da1-9347-83e1cf370710",
      "name": "Sticky Note13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        40,
        -460
      ],
      "parameters": {
        "color": 2,
        "width": 280,
        "height": 280,
        "content": "## Chat History Memory"
      },
      "typeVersion": 1
    },
    {
      "id": "0fce1309-2982-4579-8454-34df88e5976c",
      "name": "gpt-4o-mini1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -160,
        -340
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {
          "temperature": 0.1
        }
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "8d841054-2096-49bf-8539-822b14f598df",
      "name": "YouTube Video Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        200,
        -720
      ],
      "parameters": {
        "text": "={{ $json.chatInput }}",
        "options": {
          "systemMessage": "=You are an AI assistant tasked with analyzing and summarizing the transcript of a YouTube video. Your role is to answer user questions and extract relevant insights from the video content. Additionally, identify and extract the **YouTube video ID** from the user's input.\n\nYou have access to a tool called `youtube_video_analyzer`, which can analyze YouTube videos. Use this tool effectively to process video transcripts and generate structured summaries.\n\n#### Instructions:\n1. **Extract YouTube Video ID**:\n   - Identify the **video ID** from the user's input.\n   - Use this ID to analyze the video using the `youtube_video_analyzer` tool.\n\n2. **Analyze and Summarize**:\n   - Break down the video content into main topics using Level 2 headers (##).\n  2.1. Under each header:\n     - List only the most essential concepts and key points\n     - Use bullet points for clarity\n     - Keep explanations concise\n     - Preserve technical accuracy\n     - Highlight key terms in bold\n  2.2. Organize the information in this sequence:\n     - Definition/Background\n     - Main characteristics\n     - Implementation details\n     - Advantages/Disadvantages\n  2.3. Format requirements:\n     - Use markdown formatting\n     - Keep bullet points simple (no nesting)\n     - Bold important terms using **term**\n     - Use tables for comparisons\n     - Include relevant technical details\n\n3. **Organize Output**:\n   - Structure your response in this sequence:\n     1. **Definition/Background**: Provide a brief overview or context of the topic.\n     2. **Main Characteristics**: Highlight critical features or ideas.\n     3. **Implementation Details**: Explain how concepts are applied or executed.\n     4. **Advantages/Disadvantages**: Summarize benefits and limitations.\n\n4. **Formatting Requirements**:\n   - Use markdown formatting for clarity.\n   - Keep bullet points simple (no nested lists).\n   - Use tables for comparisons when applicable.\n   - Include relevant technical details where necessary.\n\nPlease provide a clear, structured summary that captures the core concepts while maintaining technical accuracy.\n\n#### Example Output Structure:\n## Title: Title of video.\n\n## Topic 1: [Main Topic]\n- **Definition/Background**: Brief explanation of the topic.\n- **Main Characteristics**:\n  - Key feature 1\n  - Key feature 2\n- **Implementation Details**:\n  - How it works\n- **Advantages/Disadvantages**:\n  - Advantage 1\n  - Disadvantage 1\n\n## Topic 2: [Next Main Topic]\n...\n\n#### Additional Notes:\n- Ensure your summaries are clear, structured, and technically accurate.\n- If any information is missing or unclear, note it explicitly in your response.\n\nCurrent date: {{ $now }}\n\n\n\n\n \n"
        },
        "promptType": "define"
      },
      "typeVersion": 1.7
    },
    {
      "id": "5252b7ce-0e3f-4f1d-a76a-6df780b4f8d4",
      "name": "Sticky Note10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -640,
        -140
      ],
      "parameters": {
        "color": 7,
        "width": 1910,
        "height": 720,
        "content": "## \ud83d\udee0\ufe0fYouTube Video Processing Tool"
      },
      "typeVersion": 1
    },
    {
      "id": "d458ef6c-9149-4515-89ac-1c0569186123",
      "name": "Create YouTube API URL",
      "type": "n8n-nodes-base.code",
      "position": [
        20,
        20
      ],
      "parameters": {
        "jsCode": "// Define the base URL for the YouTube Data API\nconst BASE_URL = 'https://www.googleapis.com/youtube/v3/videos';\n\n// Get the first input item\nconst item = $input.first();\n\n// Extract the videoId and google_api_key from the input JSON\nconst VIDEO_ID = item.json.VIDEO_ID;\nconst GOOGLE_API_KEY = item.json.GOOGLE_API_KEY; // Dynamically retrieve API key\n\nif (!VIDEO_ID) {\n  throw new Error('The video ID parameter is empty.');\n}\n\nif (!GOOGLE_API_KEY) {\n  throw new Error('The Google API Key is missing.');\n}\n\n// Construct the API URL with the video ID and dynamically retrieved API key\nconst youtubeUrl = `${BASE_URL}?part=snippet,contentDetails,status,statistics,player,topicDetails&id=${VIDEO_ID}&key=${GOOGLE_API_KEY}`;\n\n// Return the constructed URL\nreturn [\n  {\n    json: {\n      youtubeUrl: youtubeUrl,\n    },\n  },\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "f6cf2215-8ad2-4890-a67d-f91a4752e076",
      "name": "Split Out Transcript Segments",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        220,
        360
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "transcript"
      },
      "typeVersion": 1
    },
    {
      "id": "93c499e0-a10d-4cfb-959f-9590390722f3",
      "name": "Combine Transcript Segments",
      "type": "n8n-nodes-base.summarize",
      "position": [
        420,
        360
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "text",
              "separateBy": " ",
              "aggregation": "concatenate"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "39e4c739-e241-4113-a003-25cee18b01e1",
      "name": "Get YouTube Video Details",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        220,
        20
      ],
      "parameters": {
        "url": "={{ $json.youtubeUrl }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "a76d8498-5556-40b6-b259-3d93940f0a04",
      "name": "Merge YouTube Details & Transcript",
      "type": "n8n-nodes-base.merge",
      "position": [
        660,
        160
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3
    },
    {
      "id": "db7233ee-8491-47e2-b3c6-ef3f7765470e",
      "name": "Create One JSON Object",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        860,
        160
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "1f910801-a802-4e21-bc1e-383f03267711",
      "name": "Respond with YouTube Details & Transcript",
      "type": "n8n-nodes-base.set",
      "position": [
        1060,
        160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "56c5bc98-fdd1-41c0-8da8-bc81a257570d",
              "name": "response",
              "type": "string",
              "value": "={{ $json.data }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "961cec25-9f95-4564-bbdb-4c136bea34f6",
      "name": "Workflow Variables",
      "type": "n8n-nodes-base.set",
      "position": [
        -340,
        180
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "e656b8ef-4266-4f50-bd41-703b4bdb04df",
              "name": "GOOGLE_API_KEY",
              "type": "string",
              "value": "[Your-Google-API-Key]"
            },
            {
              "id": "32db428d-a2e2-48a0-92c6-3880e744d140",
              "name": "VIDEO_ID",
              "type": "string",
              "value": "={{ $json.query.videoId }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "2819e5fb-4c6d-4672-9fe5-ce83bb51b92f",
      "name": "Sticky Note12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -420,
        60
      ],
      "parameters": {
        "width": 260,
        "height": 340,
        "content": "## Workflow Variables\nhttps://cloud.google.com/docs/get-started/access-apis\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "cdf3e883-8835-408a-901e-037ad46e9bde",
      "name": "Sticky Note14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        -100
      ],
      "parameters": {
        "color": 4,
        "width": 500,
        "height": 300,
        "content": "## YouTube Video Details\nhttps://developers.google.com/youtube/v3/docs\n"
      },
      "typeVersion": 1
    },
    {
      "id": "d34d3603-f527-4c77-b219-3db3fe634d1f",
      "name": "Sticky Note15",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -100,
        240
      ],
      "parameters": {
        "color": 5,
        "width": 700,
        "height": 300,
        "content": "## YouTube Video Transcript\nhttps://docs.n8n.io/integrations/creating-nodes/test/run-node-locally/\nhttps://www.npmjs.com/package/youtube-transcript"
      },
      "typeVersion": 1
    },
    {
      "id": "4ab8a422-90df-4efd-91dd-582cef76b865",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -260,
        -860
      ],
      "parameters": {
        "color": 4,
        "width": 280,
        "height": 380,
        "content": "## \ud83d\udc4d Try Me!"
      },
      "typeVersion": 1
    },
    {
      "id": "a4cdd7b8-3be1-42ff-a59c-9a615c69093b",
      "name": "YouTube Processing Tool",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        440,
        -340
      ],
      "parameters": {
        "name": "youtube_video_analyzer",
        "workflowId": "={{ $workflow.id }}",
        "description": "Call this tool to get details and transcript from a YouTube video.  Get the videoId from the users prompt.",
        "jsonSchemaExample": "{\n\t\"videoId\": \"YouTube video id\"\n}",
        "specifyInputSchema": true
      },
      "typeVersion": 1
    },
    {
      "id": "bb254e70-e416-451e-8334-9297e6714d0c",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        640,
        -960
      ],
      "parameters": {
        "color": 3,
        "width": 620,
        "height": 780,
        "content": "## \ud83d\udcfd\ufe0f YouTube Video AI Agent Workflow\n\nThis n8n workflow template enables users to interact with an AI agent that extracts details and the transcript of a YouTube video based on a provided video ID. Once the video details and transcript are retrieved, users can chat with the AI agent to explore or analyze the content of the video in a conversational manner.\n\n### How the Workflow Works\n1. **Input Video ID**: The user provides a YouTube video ID as input to the workflow.\n   \n2. **Data Retrieval**: The workflow fetches key details about the video (e.g., title, description, upload date) and retrieves its transcript. This involves using YouTube's Data API and other integrated tools for transcript extraction.\n\n3. **AI Agent Interaction**: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a discussion with the agent regarding the video's content, such as summarizing the transcript, analyzing key points, or clarifying specific sections.\n\n4. **Dynamic Responses**: The AI agent uses natural language processing to provide contextual and accurate responses based on the video data, making the interaction intuitive and user-friendly.\n\n### Use Cases\n- **Content Analysis**: Quickly analyze long YouTube videos by querying specific sections or extracting summaries.\n- **Research and Learning**: Use the AI agent to gain insights from educational videos or tutorials without watching them in full.\n- **Content Creation**: Creators can use this workflow to repurpose transcripts into blogs, social media posts, or other formats.\n- **Accessibility**: Improve accessibility for users who prefer text-based interaction over watching videos.\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "dfe4a389-cb16-4eea-bd48-d5850c113401",
      "name": "DeepSeek-V3   Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -500,
        -340
      ],
      "parameters": {
        "model": "=deepseek-chat",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "8e6b8e43-bbac-4e5a-ab9f-6b23c50b156b",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -640,
        -960
      ],
      "parameters": {
        "color": 3,
        "width": 360,
        "height": 480,
        "content": "## \ud83d\udee0\ufe0f Resources for Getting Started\n\n- **Google Cloud Console** (for API setup): Visit Google Cloud's [Get Started Guide](https://cloud.google.com/docs/get-started/access-apis) to configure your API access.\n- **YouTube Data API Key Setup**: Follow this [guide](https://developers.google.com/youtube/v3/docs) to create and manage your YouTube Data API key.\n- **Install n8n Locally**: Refer to this [installation guide](https://docs.n8n.io/integrations/creating-nodes/test/run-node-locally/) for setting up n8n on your local machine.\n\n---\n\n## \u2728 Sample Prompt\n*\"Tell me about this YouTube video with id: JWfNLF_g_V0\"*  \n \n*\"Can you provide a list of key takeaways from this video with id: [youtube-video-id]?\"*\n"
      },
      "typeVersion": 1
    },
    {
      "id": "65fc9096-57c7-4d68-84e9-2e93094e561e",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -640,
        -460
      ],
      "parameters": {
        "color": 6,
        "width": 360,
        "height": 280,
        "content": "## DeepSeek\nhttps://api-docs.deepseek.com/"
      },
      "typeVersion": 1
    },
    {
      "id": "f75c6462-ec46-48e7-9b82-7de7590f5422",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -260,
        -960
      ],
      "parameters": {
        "color": 7,
        "width": 880,
        "height": 80,
        "content": "## \ud83d\udcfd\ufe0fUltimate AI-Powered Chatbot for YouTube Summarization & Analysis"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "9b1e07da-c789-4b3a-bb41-337dd42ee551",
  "connections": {
    "gpt-4o-mini1": {
      "ai_languageModel": [
        [
          {
            "node": "YouTube Video Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Workflow Variables": {
      "main": [
        [
          {
            "node": "Create YouTube API URL",
            "type": "main",
            "index": 0
          },
          {
            "node": "Get YouTube Transcript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "YouTube Video Agent": {
      "main": [
        []
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "YouTube Video Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Create One JSON Object": {
      "main": [
        [
          {
            "node": "Respond with YouTube Details & Transcript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create YouTube API URL": {
      "main": [
        [
          {
            "node": "Get YouTube Video Details",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get YouTube Transcript": {
      "main": [
        [
          {
            "node": "Split Out Transcript Segments",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "YouTube Processing Tool": {
      "ai_tool": [
        [
          {
            "node": "YouTube Video Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Get YouTube Video Details": {
      "main": [
        [
          {
            "node": "Merge YouTube Details & Transcript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "YouTube Video Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Combine Transcript Segments": {
      "main": [
        [
          {
            "node": "Merge YouTube Details & Transcript",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Split Out Transcript Segments": {
      "main": [
        [
          {
            "node": "Combine Transcript Segments",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When Executed by Another Workflow": {
      "main": [
        [
          {
            "node": "Workflow Variables",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge YouTube Details & Transcript": {
      "main": [
        [
          {
            "node": "Create One JSON Object",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• openAiApi

How this works

Streamline your YouTube video analysis by deploying this AI-powered chatbot that instantly fetches transcripts, generates concise summaries, and delivers in-depth insights on content, themes, or key takeaways. Ideal for content creators, researchers, or marketers who need quick breakdowns without watching hours of footage, it saves time and enhances productivity by turning raw videos into actionable intelligence. The core step involves the chatbot processing your query via OpenAI's language model, pulling the transcript through an HTTP request, and maintaining conversation context with a memory buffer for follow-up questions.

Use this workflow when you frequently analyse YouTube videos for reviews, educational purposes, or competitive research, especially in dynamic chat interfaces like Slack or web apps. Avoid it for non-English videos or those without accessible transcripts, as it relies on accurate text extraction. Common variations include adapting it for podcast summarisation by swapping the YouTube fetch for audio transcription nodes, or extending analysis to sentiment scoring for brand monitoring.

About this workflow

⚡📽️ Ultimate AI-Powered Chatbot for YouTube Summarization & Analysis. Uses executeWorkflowTrigger, chatTrigger, stickyNote, memoryBufferWindow. Event-driven trigger; 29 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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