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
使用ノード (22)
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。
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