AI YouTube分析アシスタント：コメント分析とインサイトレポート
上級
これはAI, Marketing分野の自動化ワークフローで、19個のノードを含みます。主にIf, Set, Code, Gmail, Limit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。 AI YouTube分析アシスタント：コメント分析ツールとインサイトレポート生成ツール
前提条件
- •Googleアカウント + Gmail API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •Google Sheets API認証情報
- •OpenAI API Key
使用ノード (19)
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
{
"meta": {
"instanceId": "5aaf4236c70e34e423fbdb2c7b754d19253a933bb1476d548f75848a01e473cf",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "e0eae618-d330-4b74-b5a4-528a28ec91c6",
"name": "付箋ノート12",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1260,
220
],
"parameters": {
"color": 4,
"width": 480,
"height": 740,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
"typeVersion": 1
},
{
"id": "e73f0186-b1a7-4ab9-a23e-94a38d51f8bb",
"name": "ワークフロー概要",
"type": "n8n-nodes-base.stickyNote",
"position": [
-640,
420
],
"parameters": {
"color": 2,
"width": 350,
"height": 820,
"content": "# 📊 YouTube Comment Analyzer Workflow\n\n**Purpose:** Automate YouTube comment collection, sentiment analysis, and email reporting\n\n**Schedule:** Triggers every minute for new/updated rows\n\n**Required Setup:**\n1. Google Sheet with video IDs\n2. YouTube API credentials\n3. OpenAI API key\n4. Gmail account\n\n## Workflow Steps:\n1. **Trigger** - Monitor Google Sheet\n2. **Filter** - Process only 'Pending' videos\n3. **Fetch** - Get video details & comments\n4. **Analyze** - AI sentiment analysis\n5. **Report** - Send email summary\n6. **Update** - Mark as processed"
},
"typeVersion": 1
},
{
"id": "606f8cb5-54a5-4a90-be41-089d7ccae72f",
"name": "トリガードキュメント",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
320
],
"parameters": {
"color": 3,
"width": 380,
"height": 340,
"content": "## 🚀 Trigger Section\n\n**Google Sheets Trigger**\nMonitors the spreadsheet every minute for:\n- New video IDs added\n- Status changes to 'Pending'\n\n**Required Sheet Structure:**\n| ID | Video Title | YouTube Video ID | Status |\n\n⚠️ Set Status to 'Pending' to trigger analysis"
},
"typeVersion": 1
},
{
"id": "f225b68e-272e-4414-82c2-2f79cfbcc381",
"name": "YouTube API セクション",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
440
],
"parameters": {
"width": 280,
"height": 200,
"content": "## 📹 YouTube Data Collection\n\n**This section fetches:**\n- Video metadata (title, channel)\n- Top 100 comments\n- Comment statistics\n\n**API Limits:**\n- Max 100 comments per request\n- Ordered by relevance\n- Top-level comments only"
},
"typeVersion": 1
},
{
"id": "628d65ff-007c-4b7a-862e-64158fa80e7c",
"name": "AI分析ドキュメント",
"type": "n8n-nodes-base.stickyNote",
"position": [
1300,
420
],
"parameters": {
"color": 5,
"width": 320,
"height": 250,
"content": "## 🤖 AI Analysis Section\n\n**GPT-4o analyzes comments for:**\n1. Sentiment breakdown (positive/negative/neutral)\n2. Main themes & topics\n3. Common viewer questions\n4. Key feedback points\n5. Actionable insights\n\n**Output Format:** Structured JSON with underscore keys\n\n💡 Customize the prompt in AI Agent node for different analysis needs"
},
"typeVersion": 1
},
{
"id": "85b58261-88e1-499a-a082-548713da293e",
"name": "メールとステータス更新",
"type": "n8n-nodes-base.stickyNote",
"position": [
1820,
460
],
"parameters": {
"color": 4,
"width": 300,
"height": 220,
"content": "## 📧 Email & Update Section\n\n**Email Report includes:**\n- Video statistics\n- Sentiment analysis\n- Key insights\n- Formatted HTML\n\n**Final Step:**\nUpdates Google Sheet status to 'Mail Sent' to prevent duplicate processing\n\n⚠️ Update recipient email in Gmail node"
},
"typeVersion": 1
},
{
"id": "e0ba6c37-8b04-406b-9158-aef610274135",
"name": "データ処理ノート",
"type": "n8n-nodes-base.stickyNote",
"position": [
1060,
900
],
"parameters": {
"color": 6,
"width": 250,
"height": 180,
"content": "⚠️ **Data Preparation**\n\nThis node:\n- Extracts comment texts\n- Calculates statistics\n- Performs basic sentiment analysis\n- Prepares data for AI\n\nLimited to 50 comments for AI analysis to manage token usage"
},
"typeVersion": 1
},
{
"id": "d7edbd68-9213-426b-ae6b-71a13bb23690",
"name": "リミット",
"type": "n8n-nodes-base.limit",
"notes": "Limits processing to 1 item at a time to prevent API overload",
"position": [
220,
700
],
"parameters": {},
"typeVersion": 1
},
{
"id": "42f0f581-57a0-438d-b1a1-29a89e984554",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "Uses OpenAI GPT-4o to analyze comments and generate insights. Customize the prompt for different analysis needs.",
"position": [
1320,
700
],
"parameters": {
"text": "=Analyze these comments from the video \"{{ $json.videoTitle }}\":\n\nTotal Comments: {{ $json.totalComments }}\nAverage Likes: {{ $json.avgLikes }}\n\nComments to analyze:\n{{ $json.commentTexts }}",
"options": {
"maxIterations": 100,
"systemMessage": "You are a YouTube comment analyst. Analyze the provided comments and return a structured analysis with:\n1. Overall sentiment breakdown (positive/negative/neutral percentages)\n2. Top 3-5 main themes or topics discussed\n3. Common questions from viewers\n4. Key feedback points and suggestions\n5. Actionable insights for content improvement\n\nFormat your response in clear sections with headers in json key value format and use underscore in the key name. Always use following keys for output json: \n1. overall_sentiment_breakdown\n2. main_themes\n3. common_questions\n4. key_feedback_points\n5. actionable_insights"
},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "35abbd58-e69a-4d86-963e-0a758aaff7b2",
"name": "OpenAI チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1420,
920
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {
"responseFormat": "json_object"
}
},
"typeVersion": 1.2
},
{
"id": "747fb13b-ee39-4dd7-8338-8db07e3b568e",
"name": "条件分岐",
"type": "n8n-nodes-base.if",
"notes": "Filters rows to process only videos with 'Pending' status",
"position": [
0,
700
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5f1eae10-5270-4e99-8627-597e3451c82c",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.Status }}",
"rightValue": "Pending"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "6895d6b4-4ae4-4092-9302-33b1c69167d6",
"name": "動画詳細を設定",
"type": "n8n-nodes-base.set",
"notes": "Prepares video ID and sets max comments limit (100)",
"position": [
440,
700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "219795ef-daa4-4444-9865-c5d3856be63b",
"name": "videoId",
"type": "string",
"value": "={{ $json['Youtube video id'] }}"
},
{
"id": "cd4f519d-4c84-496c-8974-29ef69c890fc",
"name": "maxComments ",
"type": "number",
"value": 100
}
]
}
},
"typeVersion": 3.4
},
{
"id": "df200d75-d932-4bb4-9e57-16a940963db3",
"name": "Youtube 動画詳細を取得",
"type": "n8n-nodes-base.youTube",
"notes": "Fetches video metadata including title, channel name, and other details",
"position": [
660,
700
],
"parameters": {
"options": {},
"videoId": "={{ $json.videoId }}",
"resource": "video",
"operation": "get"
},
"typeVersion": 1
},
{
"id": "5346229d-9386-497b-99c7-192e75896bf2",
"name": "Youtube 動画コメントを取得",
"type": "n8n-nodes-base.httpRequest",
"notes": "Retrieves top 100 comments ordered by relevance using YouTube API",
"position": [
880,
700
],
"parameters": {
"url": "https://www.googleapis.com/youtube/v3/commentThreads",
"options": {},
"sendQuery": true,
"authentication": "predefinedCredentialType",
"queryParameters": {
"parameters": [
{
"name": "part",
"value": "snippet"
},
{
"name": "videoId",
"value": "={{ $('Set Video Details').item.json.videoId }}"
},
{
"name": "maxResults",
"value": "100"
},
{
"name": "order",
"value": "relevance"
}
]
},
"nodeCredentialType": "youTubeOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "ffee99ec-ad6d-4ac9-b0ad-e466a18ad7de",
"name": "コメントデータを準備",
"type": "n8n-nodes-base.code",
"notes": "Processes raw comments: extracts text, calculates stats, performs basic sentiment analysis, limits to 50 comments for AI",
"position": [
1100,
700
],
"parameters": {
"jsCode": "// Get comments from HTTP Request node\nconst comments = $input.first().json.items\n//const comments = response.items || [];\n\n// Get video title from the YouTube node (step 5)\n//const videoData = ;\nconst videoTitle = $('Get Youtube Video Details').first().json.snippet.title;\n\n// Extract comment data\nconst processedComments = comments.map(item => {\n const comment = item.snippet.topLevelComment.snippet;\n return {\n text: comment.textDisplay,\n author: comment.authorDisplayName,\n likes: comment.likeCount || 0,\n publishedAt: comment.publishedAt,\n replyCount: item.snippet.totalReplyCount || 0\n };\n});\n\n// Calculate statistics\nconst totalComments = processedComments.length;\nconst totalLikes = processedComments.reduce((sum, c) => sum + c.likes, 0);\nconst avgLikes = totalComments > 0 ? (totalLikes / totalComments).toFixed(2) : 0;\nconst totalReplies = processedComments.reduce((sum, c) => sum + c.replyCount, 0);\n\n// Get top comments by likes\nconst topComments = processedComments\n .sort((a, b) => b.likes - a.likes)\n .slice(0, 5);\n\n// Prepare comment texts for AI analysis\nconst commentTexts = processedComments\n .slice(0, 50) // Limit to 50 comments for AI analysis\n .map(c => c.text)\n .join('\\n---\\n');\n\n// Basic sentiment analysis (count positive/negative keywords)\nconst positiveWords = ['love', 'great', 'awesome', 'amazing', 'excellent', 'good', 'fantastic', 'helpful', 'thanks'];\nconst negativeWords = ['hate', 'terrible', 'awful', 'bad', 'worst', 'horrible', 'useless', 'waste'];\n\nlet positiveCount = 0;\nlet negativeCount = 0;\n\nprocessedComments.forEach(comment => {\n const lowerText = comment.text.toLowerCase();\n positiveWords.forEach(word => {\n if (lowerText.includes(word)) positiveCount++;\n });\n negativeWords.forEach(word => {\n if (lowerText.includes(word)) negativeCount++;\n });\n});\n\nreturn [{\n json: {\n videoTitle,\n totalComments,\n avgLikes,\n totalReplies,\n topComments,\n commentTexts,\n processedComments,\n sentimentCounts: {\n positive: positiveCount,\n negative: negativeCount,\n neutral: totalComments - positiveCount - negativeCount\n }\n }\n}];\n\n"
},
"typeVersion": 2
},
{
"id": "7eab55e1-e9e2-4750-a07d-f02941c7a8c6",
"name": "メール用HTMLを準備",
"type": "n8n-nodes-base.code",
"notes": "Converts AI analysis into formatted HTML email with statistics, insights, and professional styling",
"position": [
1700,
700
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const output = JSON.parse($json.output)\n //return output; \n//return output.overall_sentiment_breakdown.Positive;\n\nlet common_question = \"\";\n \noutput.common_questions.map(rec => {\n return common_question += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\nlet key_feedback_points_and_suggestions = \"\";\n\noutput.key_feedback_points.map(rec => {\n return key_feedback_points_and_suggestions += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\n\nlet actionable_insights_for_content_improvement = \"\"\n\noutput.actionable_insights.map(rec => {\n return actionable_insights_for_content_improvement += \"<li>\"+rec.trim().replace(new RegExp(\".*,$\"), \"\")+\"</li>\"\n})\n\n\n// return {common_question};\n\n\n \n\n//return output; \n// Generate the email HTML\nconst emailHTML = `\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; }\n .header { background: #f4f4f4; padding: 20px; border-radius: 5px; }\n .section { margin: 20px 0; }\n .stats { background: #e9ecef; padding: 15px; border-radius: 5px; }\n .analysis { background: #f8f9fa; padding: 20px; border-radius: 5px; }\n h2 { color: #2c3e50; }\n h3 { color: #34495e; }\n h4 { color: #7f8c8d; }\n .footer { margin-top: 30px; padding-top: 20px; border-top: 1px solid #ddd; color: #666; font-size: 0.9em; }\n </style>\n</head>\n<body>\n <div class=\"header\">\n <h2>YouTube Comments Analysis Report</h2>\n <h3>Video: ${$(\"Prepare Comments Data\").item.json.videoTitle}</h3>\n </div>\n\n <div class=\"section stats\">\n <h3> Quick Statistics</h3>\n <ul>\n <li><strong>Total Comments Analyzed:</strong> ${$('Prepare Comments Data').item.json.totalComments}</li>\n <li><strong>Average Likes per Comment:</strong> ${$('Prepare Comments Data').item.json.avgLikes}</li>\n <li><strong>Total Replies:</strong> ${$('Prepare Comments Data').item.json.totalReplies}</li>\n <li><strong>Sentiment Summary:</strong> \n Positive: ${output.overall_sentiment_breakdown.positive}, \n Negative: ${output.overall_sentiment_breakdown.negative}, \n Neutral: ${output.overall_sentiment_breakdown.neutral}\n </li>\n </ul>\n </div>\n\n <div class=\"section stats\">\n <h3>Common Questions</h3>\n <ul>\n ${common_question}\n </ul>\n </div>\n\n <div class=\"section stats\">\n <h3>Key feedback points and suggestions</h3>\n <ul>\n ${key_feedback_points_and_suggestions}\n </ul>\n </div>\n\n\n <div class=\"section stats\">\n <h3>Actionable insights for content improvement</h3>\n <ul>\n ${actionable_insights_for_content_improvement}\n </ul>\n </div>\n\n\n\n\n <div class=\"footer\">\n <p><em>Report generated on ${new Date().toLocaleString()}</em></p>\n \n </div>\n</body>\n</html>`;\n\n\n// Return the formatted data\nreturn {\n json: {\n emailHTML,\n subject: `YouTube Analysis: ${$('Prepare Comments Data').item.json.videoTitle} - ${$('Prepare Comments Data').item.json.totalComments} comments analyzed`,\n videoTitle: $('Prepare Comments Data').item.json.videoTitle\n }\n};"
},
"typeVersion": 2
},
{
"id": "f789c4e0-813b-4f6d-9584-86a274fba969",
"name": "Gmail アカウント設定",
"type": "n8n-nodes-base.gmail",
"notes": "Sends formatted analysis report via Gmail. Update SENDER_EMAIL_ADDRESS with actual recipient",
"position": [
1920,
700
],
"webhookId": "90b8f9ad-4226-42a0-971b-7fa9f5f190bd",
"parameters": {
"sendTo": "SENDER_EMAIL_ADDRESS",
"message": "={{ $json.emailHTML }}",
"options": {},
"subject": "={{ $json.subject }}"
},
"typeVersion": 2.1
},
{
"id": "309d2e7d-2da0-439b-b2ac-87196d9f5733",
"name": "Google シートでステータスを更新",
"type": "n8n-nodes-base.googleSheets",
"notes": "Updates video status to 'Mail Sent' to prevent duplicate processing",
"position": [
2140,
700
],
"parameters": {
"columns": {
"value": {
"Id": "={{ $('Pick Video Ids from Google sheet').item.json.Id }}",
"Status": "Mail Sent"
},
"schema": [
{
"id": "Id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube video id",
"type": "string",
"display": true,
"required": false,
"displayName": "Youtube video id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "string",
"display": true,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video "
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1qe6Ovp_pfmwZA2k5c7LmmZx-OKqv3hnu8Dg80Pw4KoY",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video"
}
},
"typeVersion": 4.5
},
{
"id": "b62a4e3a-c843-4ed2-9ee4-cbfb1a218259",
"name": "Google シートから動画IDを選択",
"type": "n8n-nodes-base.googleSheetsTrigger",
"notes": "Triggers on new YouTube videos added to spreadsheet. Polls every minute for changes",
"position": [
-220,
700
],
"parameters": {
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video "
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1qe6Ovp_pfmwZA2k5c7LmmZx-OKqv3hnu8Dg80Pw4KoY",
"cachedResultUrl": "GOOGLE_DRIVE_URL",
"cachedResultName": "Youtube_Video"
}
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"747fb13b-ee39-4dd7-8338-8db07e3b568e": {
"main": [
[
{
"node": "d7edbd68-9213-426b-ae6b-71a13bb23690",
"type": "main",
"index": 0
}
]
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},
"d7edbd68-9213-426b-ae6b-71a13bb23690": {
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{
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"type": "main",
"index": 0
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[
{
"node": "7eab55e1-e9e2-4750-a07d-f02941c7a8c6",
"type": "main",
"index": 0
}
]
]
},
"35abbd58-e69a-4d86-963e-0a758aaff7b2": {
"ai_languageModel": [
[
{
"node": "42f0f581-57a0-438d-b1a1-29a89e984554",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"6895d6b4-4ae4-4092-9302-33b1c69167d6": {
"main": [
[
{
"node": "df200d75-d932-4bb4-9e57-16a940963db3",
"type": "main",
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]
]
},
"ffee99ec-ad6d-4ac9-b0ad-e466a18ad7de": {
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[
{
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"type": "main",
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]
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{
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"type": "main",
"index": 0
}
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},
"5346229d-9386-497b-99c7-192e75896bf2": {
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"f789c4e0-813b-4f6d-9584-86a274fba969": {
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[
{
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"type": "main",
"index": 0
}
]
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},
"b62a4e3a-c843-4ed2-9ee4-cbfb1a218259": {
"main": [
[
{
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"type": "main",
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}
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}
}
}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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ワークフロー情報
難易度
上級
ノード数19
カテゴリー2
ノードタイプ12
作成者
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host
外部リンク
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