YTBメタデータジェネレータ

上級

これはAI, Marketing分野の自動化ワークフローで、22個のノードを含みます。主にIf, Code, Wait, YouTube, HttpRequestなどのノードを使用、AI技術を活用したスマート自動化を実現。 YouTube動画のメタデータを生成(「タイムスタンプ」「タグ」「説明」など)

前提条件
  • ターゲットAPIの認証情報が必要な場合あり
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "id": "",
  "meta": {
    "instanceId": "",
    "templateCredsSetupCompleted": true
  },
  "name": "YTB Metadata Generator",
  "tags": [],
  "nodes": [
    {
      "id": "Mistral-Cloud-Chat-Model-0",
      "name": "Mistral Cloud Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
      "position": [
        700,
        -40
      ],
      "parameters": {
        "model": "mistral-large-latest",
        "options": {}
      },
      "credentials": {
        "mistralCloudApi": {
          "id": "",
          "name": "Mistral Cloud account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "-do-nothing-1",
      "name": "操作なし, do nothing",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -440,
        120
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "--2",
      "name": "構造化出力パーサー",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        860,
        -40
      ],
      "parameters": {
        "jsonSchemaExample": "[\n  {\n    \"name\": \"preview\",\n    \"type\": \"string\",\n    \"description\": \"Short preview (100–200 characters, no hashtags)\"\n  },\n  {\n    \"name\": \"timestamps\",\n    \"type\": \"string\",\n    \"description\": \"YouTube-style timestamps, each on a new line, starts with 00:00\"\n  },\n  {\n    \"name\": \"tags\",\n    \"type\": \"string\",\n    \"description\": \"Comma-separated keywords (no hashtags)\"\n  }\n]\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "-do-nothing1-3",
      "name": "操作なし, do nothing1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        700,
        100
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "Check-Finished-4",
      "name": "Check 条件分岐 Finished",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -160,
        -80
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/runs/last?token=[YOUR_API_TOKEN]",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "Get-Data--5",
      "name": "Get Data設定",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        240,
        -100
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/runs/last/dataset/items?token=[YOUR_API_TOKEN]",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "Scrape-Video-6",
      "name": "Scrape Video",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -440,
        -80
      ],
      "parameters": {
        "url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/runs?token=[YOUR_API_TOKEN]",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"downloadSubtitles\": true,\n    \"preferAutoGeneratedSubtitles\": false,\n    \"startUrls\": [\n        {\n            \"url\": \"{{ $('Trigger New Video Posted').item.json.link }}\",\n            \"method\": \"GET\"\n        }\n    ],\n    \"subtitlesLanguage\": \"en\"\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "headerParameters": {
          "parameters": [
            {
              "name": "Content-Type",
              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "If-Finished-7",
      "name": "If Finished",
      "type": "n8n-nodes-base.if",
      "position": [
        20,
        -80
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.data.status }}",
              "rightValue": "SUCCEEDED"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "--8",
      "name": "待機",
      "type": "n8n-nodes-base.wait",
      "position": [
        180,
        120
      ],
      "webhookId": "",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "If-Recent-9",
      "name": "If Recent",
      "type": "n8n-nodes-base.if",
      "position": [
        -660,
        20
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "",
              "operator": {
                "type": "number",
                "operation": "gt"
              },
              "leftValue": "={{ new Date($json[\"pubDate\"]).getTime() }}",
              "rightValue": "={{ new Date().getTime() - 10 * 60 * 1000 }}"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "If-Not-Generated-10",
      "name": "If Not Generated",
      "type": "n8n-nodes-base.if",
      "position": [
        460,
        -100
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "",
              "operator": {
                "type": "string",
                "operation": "notContains"
              },
              "leftValue": "={{ $json.text }}",
              "rightValue": "00:00"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "Generate-Description-11",
      "name": "Generate Description",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        700,
        -200
      ],
      "parameters": {
        "text": "You are given the full script of a YouTube video. Your task is to extract metadata in a structured format to be used in a YouTube upload.",
        "messages": {
          "messageValues": [
            {
              "type": "HumanMessagePromptTemplate",
              "message": "=Script Input:\n{{ $json.subtitles[0].srt }}\n\nFinal Output Format:\n\nPreview:\n[short preview description]\n\nTimestamps:\n00:00 [Title]\n00:30 [Title]\n...\n\nTags:\ntag1,tag2,tag3,...\n\nFollow these instructions strictly:\n\n1. Short Preview Description\nWrite a short preview (100–200 characters max) of the video.\nUse engaging language, and include relevant keywords from the topic of the video.\nThis should be a single sentence or two, no hashtags, no line breaks.\n\n2. Timestamps\nFormat: MM:SS Timestamp Title (each on a new line)\nMust start with 00:00\nEach timestamp section must be at least 30 seconds apart\nOnly 3 to 7 total timestamps\nEach timestamp title should be maximum 3 words, summarize the section clearly\nExample format:\n\"00:00 Intro  \n00:47 Key Concept  \n02:12 Real Example\"\n\n3. Tags\nProvide 5 to 10 relevant SEO-friendly keywords separated by commas\nNo hashtags\nFormat like this:\n\"automation,n8n,ai workflows,youtube growth,openai\"\n"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "Format-12",
      "name": "Format",
      "type": "n8n-nodes-base.code",
      "position": [
        1100,
        -200
      ],
      "parameters": {
        "jsCode": "// Assuming input data contains preview, timestamps, tags\nconst preview = $input.first().json.output[0].description;\nconst timestamps = $input.first().json.output[1].description;\n\n// Hardcoded links section (edit as needed)\nconst links = `\nLinks:\n- Website: https://example.com\n- Twitter: https://twitter.com/example\n- GitHub: https://github.com/example\n`;\n\n// Format description string\nconst description = preview + \"\\n\" +links + \"\\n\" +timestamps \n\n// Return the formatted description\nreturn [\n  {\n    json: {\n      description: description.trim(),\n    },\n  },\n];\n"
      },
      "typeVersion": 2
    },
    {
      "id": "-3-13",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -100
      ],
      "parameters": {
        "color": 7,
        "width": 420,
        "height": 340,
        "content": "## 1- Input\nEnter the ID of the YTB channel to trigger the workflow when a new video is posted"
      },
      "typeVersion": 1
    },
    {
      "id": "--14",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -500,
        -180
      ],
      "parameters": {
        "color": 7,
        "height": 480,
        "content": "## 2- Create DataSet\nApify scrape the last YTB video of the channel"
      },
      "typeVersion": 1
    },
    {
      "id": "-1-15",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        420,
        -280
      ],
      "parameters": {
        "color": 7,
        "width": 600,
        "height": 580,
        "content": "## 4- Check and Generate Metadata\nVerify if Metadata are not already generated and generate them with LLM\n"
      },
      "typeVersion": 1
    },
    {
      "id": "-2-16",
      "name": "付箋2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1040,
        -280
      ],
      "parameters": {
        "color": 7,
        "width": 460,
        "height": 240,
        "content": "## 5- Output\nFormat all the data created and update YTB Video"
      },
      "typeVersion": 1
    },
    {
      "id": "-4-17",
      "name": "付箋4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -240,
        -180
      ],
      "parameters": {
        "color": 7,
        "width": 640,
        "height": 500,
        "content": "## 3- Wait for Completion & Get DataSet\nWait until the dataset is completed in Apify and get it"
      },
      "typeVersion": 1
    },
    {
      "id": "-5-18",
      "name": "付箋5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -800
      ],
      "parameters": {
        "color": 7,
        "width": 780,
        "height": 240,
        "content": "## How it works?\n**1 -** Enter the ID of the YTB channel to trigger the workflow when a new video is posted\n**2 -** Apify scrape the last YTB video of the channel\n**3 -** Wait until the dataset is completed in Apify and get it\n**4 -** Verify if Metadata are not already generated and generate them with LLM\n**5 -** Format all the data created and update YTB Video\n\n**📺 Youtube Video Tutorial : https://youtu.be/HaQPAa6l5bU**\n**🛠️ Need Help with Your Workflows ? https://tally.so/r/wayeqB**\n**👨‍💻 More Workflows : https://n8n.io/creators/nasser/**"
      },
      "typeVersion": 1
    },
    {
      "id": "-6-19",
      "name": "付箋6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -940,
        -540
      ],
      "parameters": {
        "color": 7,
        "width": 780,
        "height": 340,
        "content": "## SETUP\n\n**Setup Input YTB Chanel :** Go to the channel's page on YouTube, and look at the URL of the page. The channel ID is the value that comes after channel/ in the URL. Add it after \"?channel_id=\" You can also use free tools available to retrieve channel ID.\n\n**Setup Output YTB Video Update :** Connect your YTB account to your n8n instance thanks to the Google Cloud Console. You can find tutorials by typing \"youtube api Oauth\" on Google.\n\n**APIs :** For the following third-party integrations, replace [YOUR_API_TOKEN] with your API Token or connect your account via Client ID / Secret to your n8n instance : \n- Apify : https://docs.apify.com/api/v2/getting-started\n- Youtube : https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.youtube/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=n8n-nodes-base.youTube#templates-and-examples"
      },
      "typeVersion": 1
    },
    {
      "id": "Trigger-New-Video-Posted-20",
      "name": "Trigger New Video Posted",
      "type": "n8n-nodes-base.rssFeedReadTrigger",
      "position": [
        -880,
        20
      ],
      "parameters": {
        "feedUrl": "https://www.youtube.com/feeds/videos.xml?channel_id=[YOUR_CHANNEL_ID]",
        "pollTimes": {
          "item": [
            {
              "mode": "everyX",
              "unit": "minutes",
              "value": 10
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "Update-YTB-Video-21",
      "name": "Update YTB Video",
      "type": "n8n-nodes-base.youTube",
      "position": [
        1280,
        -200
      ],
      "parameters": {
        "title": "={{ $('Get DataSet').item.json.title }}",
        "videoId": "={{ $('Get DataSet').item.json.id }}",
        "resource": "video",
        "operation": "update",
        "regionCode": "US",
        "updateFields": {
          "tags": "={{ $('Generate Description').item.json.output[2].description }}",
          "description": "={{ $json.description }}"
        }
      },
      "credentials": {
        "youTubeOAuth2Api": {
          "id": "",
          "name": "YouTube account"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "",
  "connections": {
    "Wait": {
      "main": [
        [
          {
            "node": "Check IF Finished",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Format-12": {
      "main": [
        [
          {
            "node": "Update-YTB-Video-21",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If-Recent-9": {
      "main": [
        [
          {
            "node": "Scrape-Video-6",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "No Operation, do nothing",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Get DataSet": {
      "main": [
        [
          {
            "node": "If-Not-Generated-10",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If-Finished-7": {
      "main": [
        [
          {
            "node": "Get DataSet",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Wait",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Scrape-Video-6": {
      "main": [
        [
          {
            "node": "Check IF Finished",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If-Not-Generated-10": {
      "main": [
        [
          {
            "node": "Generate-Description-11",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "No Operation, do nothing1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Check IF Finished": {
      "main": [
        [
          {
            "node": "If-Finished-7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate-Description-11": {
      "main": [
        [
          {
            "node": "Format-12",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Mistral-Cloud-Chat-Model-0": {
      "ai_languageModel": [
        [
          {
            "node": "Generate-Description-11",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Generate-Description-11",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Trigger-New-Video-Posted-20": {
      "main": [
        [
          {
            "node": "If-Recent-9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

上級 - 人工知能, マーケティング

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
上級
ノード数22
カテゴリー2
ノードタイプ11
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

作成者
Nasser

Nasser

@nasser

Data Engineer, now automating processes mostly with n8n, Make and code

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34