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⚡AI驱动的YouTube视频摘要与分析

中级

这是一个AI, Marketing领域的自动化工作流,包含 12 个节点。主要使用 Set, Code, Webhook, YouTube, SplitOut 等节点,结合人工智能技术实现智能自动化。 ⚡AI驱动的YouTube视频摘要与分析

前置要求
  • HTTP Webhook 端点(n8n 会自动生成)
  • Telegram Bot Token
  • OpenAI API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "nodes": [
    {
      "id": "9320d08a-4868-4103-abdf-3f8f54a7a0a0",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "position": [
        0,
        0
      ],
      "webhookId": "9024e29e-9080-4cf5-9a6b-0d918468f195",
      "parameters": {
        "path": "ytube",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2
    },
    {
      "id": "a5cc8922-8124-4269-9cfd-e891b29cc2b7",
      "name": "YouTube 转录",
      "type": "n8n-nodes-youtube-transcription.youtubeTranscripter",
      "position": [
        800,
        0
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "ff3c0fd1-36d8-4d64-b405-0600efd4d93b",
      "name": "拆分输出",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        200,
        260
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "transcript"
      },
      "typeVersion": 1
    },
    {
      "id": "423276e0-81bf-487a-bbdd-26e9b84fa755",
      "name": "响应 Webhook",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1200,
        140
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "27344649-8029-48ae-867b-7363d904fc59",
      "name": "Telegram",
      "type": "n8n-nodes-base.telegram",
      "position": [
        1200,
        380
      ],
      "parameters": {
        "text": "={{ $json.title }}\n{{ $json.youtubeUrl }}",
        "additionalFields": {
          "parse_mode": "HTML",
          "appendAttribution": false
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "230c0325-d22a-4070-9460-748a6fef48d5",
      "name": "获取 YouTube URL",
      "type": "n8n-nodes-base.set",
      "position": [
        200,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3ee42e4c-3cee-4934-97e7-64c96b5691ed",
              "name": "youtubeUrl",
              "type": "string",
              "value": "={{ $json.body.youtubeUrl }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "420e90c3-9dfa-4f41-825a-9874b5ebe43a",
      "name": "YouTube 视频 ID",
      "type": "n8n-nodes-base.code",
      "position": [
        400,
        0
      ],
      "parameters": {
        "jsCode": "const extractYoutubeId = (url) => {\n  // Regex pattern that matches both youtu.be and youtube.com URLs\n  const pattern = /(?:youtube\\.com\\/(?:[^\\/]+\\/.+\\/|(?:v|e(?:mbed)?)\\/|.*[?&]v=)|youtu\\.be\\/)([^\"&?\\/\\s]{11})/;\n  const match = url.match(pattern);\n  return match ? match[1] : null;\n};\n\n// Input URL from previous node\nconst youtubeUrl = items[0].json.youtubeUrl; // Adjust this based on your workflow\n\n// Process the URL and return the video ID\nreturn [{\n  json: {\n    videoId: extractYoutubeId(youtubeUrl)\n  }\n}];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "a4171c3e-1ff2-40de-af7f-b3971a1ebe79",
      "name": "获取 YouTube 视频",
      "type": "n8n-nodes-base.youTube",
      "position": [
        600,
        0
      ],
      "parameters": {
        "options": {},
        "videoId": "={{ $json.videoId }}",
        "resource": "video",
        "operation": "get"
      },
      "typeVersion": 1
    },
    {
      "id": "73e6bfc5-8b62-4880-acd4-292f2f692540",
      "name": "gpt-4o-mini",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        620,
        440
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "ea14e296-b30c-46f7-b283-746822ae1af4",
      "name": "总结和分析转录",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        600,
        260
      ],
      "parameters": {
        "text": "=Please analyze the given text and create a structured summary following these guidelines:\n\n1. Break down the content into main topics using Level 2 headers (##)\n2. 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\n3. Organize the information in this sequence:\n   - Definition/Background\n   - Main characteristics\n   - Implementation details\n   - Advantages/Disadvantages\n4. 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\nPlease provide a clear, structured summary that captures the core concepts while maintaining technical accuracy.\n\nHere is the text: {{ $json.concatenated_text\n }}",
        "promptType": "define"
      },
      "typeVersion": 1.4
    },
    {
      "id": "90e3488f-f854-483e-9106-a5760d0c0457",
      "name": "连接",
      "type": "n8n-nodes-base.summarize",
      "position": [
        400,
        260
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "text",
              "separateBy": " ",
              "aggregation": "concatenate"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "9c5c249c-5eeb-4433-ba93-ace4611f4858",
      "name": "响应对象",
      "type": "n8n-nodes-base.set",
      "position": [
        960,
        260
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "bf132004-6636-411f-9d85-0c696fda84c4",
              "name": "summary",
              "type": "string",
              "value": "={{ $json.text }}"
            },
            {
              "id": "63c8d0e3-685c-488a-9b45-363cf52479ea",
              "name": "topics",
              "type": "array",
              "value": "=[]"
            },
            {
              "id": "171f30cf-34e9-42f3-8735-814024bfde0b",
              "name": "title",
              "type": "string",
              "value": "={{ $('Get YouTube Video').item.json.snippet.title }}"
            },
            {
              "id": "7f26f5a3-e695-49d1-b1e8-9260c31f1b3d",
              "name": "description",
              "type": "string",
              "value": "={{ $('Get YouTube Video').item.json.snippet.description }}"
            },
            {
              "id": "d0594232-cb39-453c-b015-3b039c098e1f",
              "name": "id",
              "type": "string",
              "value": "={{ $('Get YouTube Video').item.json.id }}"
            },
            {
              "id": "17b6ca08-ce89-4467-bd25-0d2d182f7a8b",
              "name": "youtubeUrl",
              "type": "string",
              "value": "={{ $('Webhook').item.json.body.youtubeUrl }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    }
  ],
  "pinData": {},
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Get YouTube URL",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Out": {
      "main": [
        [
          {
            "node": "Concatenate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Concatenate": {
      "main": [
        [
          {
            "node": "Summarize & Analyze Transcript",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "gpt-4o-mini": {
      "ai_languageModel": [
        [
          {
            "node": "Summarize & Analyze Transcript",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Get YouTube URL": {
      "main": [
        [
          {
            "node": "YouTube Video ID",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Response Object": {
      "main": [
        [
          {
            "node": "Respond to Webhook",
            "type": "main",
            "index": 0
          },
          {
            "node": "Telegram",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "YouTube Video ID": {
      "main": [
        [
          {
            "node": "Get YouTube Video",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Summarize & Analyze Transcript": {
      "main": [
        [
          {
            "node": "Response Object",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 人工智能, 营销

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量12
分类2
节点类型11
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
Joseph LePage

Joseph LePage

@joe

As an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.

外部链接
在 n8n.io 查看

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