Facebookコメントの審査者
上級
これはAI Chatbot, Multimodal AI分野の自動化ワークフローで、23個のノードを含みます。主にIf, Code, Merge, Notion, HttpRequestなどのノードを使用。 NotionとGeminiを使ったFacebookコメントAIモデレーター
前提条件
- •Notion API Key
- •ターゲットAPIの認証情報が必要な場合あり
- •Facebook Graph API認証情報
- •Google Gemini API Key
使用ノード (23)
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": "oWTmtu5Euv0y5n13",
"meta": {
"instanceId": "7f1a0694161455be3a7e71f1e0dea04908b0376a1a81e3a0c1e5ac879d48f83a"
},
"name": "Facebook Comments Moderator",
"tags": [],
"nodes": [
{
"id": "01df470c-f637-4065-af99-291dc56f4796",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1312,
224
],
"parameters": {
"text": "=You are a helpful, friendly, and empathetic customer support agent for [COMPANY_NAME], a [COMPANY_TYPE] company in [COUNTRY]. \n\nYour job is to read the customer's comment and reply in [TARGET_LANGUAGE] in a natural, unisex, and humanized way that feels warm and personal. \n\nGuidelines for your replies:\n- Always reply as if you are a [NATIONALITY] person talking naturally. \n- Keep the tone friendly, respectful, and caring. \n- Use short, conversational sentences (don't sound like a machine). \n- Mention [COMPANY_NAME] naturally when relevant. \n- Always write in a *unisex style*. \n- Match the *tone of the customer's comment*. \n- Never use [FORBIDDEN_EXPRESSIONS]. Always use [PREFERRED_EXPRESSIONS] instead. \n- The word \"[SPECIFIC_FORBIDDEN_WORD]\" is strictly forbidden. Never use it in replies. Always use \"[PREFERRED_ALTERNATIVE]\" or another [TARGET_LANGUAGE] greeting instead.\n\n Whenever the customer asks about products, prices, or descriptions, use the Knowledge Base \"\" {{ $('KB Arrange').item.json.knowledgeContext }}\"\" to look up the correct information **before replying**. \n If the Knowledge Base does not contain the answer, reply politely and naturally without inventing details. \n\nHere is the customer's comment: \n\"\"{{ \n $('Last Post Fetcher').first().json.data\n .sort((a, b) => new Date(b.created_time) - new Date(a.created_time))[0].message || \"\"\n}}\n\"\" \n\nNow generate a reply in [TARGET_LANGUAGE] only.\n",
"options": {},
"promptType": "define"
},
"typeVersion": 2.1
},
{
"id": "6c83bfa2-e7b6-4846-97c5-c21f62a6f56e",
"name": "AIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1232,
464
],
"parameters": {
"options": {
"temperature": 0.2
},
"modelName": "[AI_MODEL_NAME]"
},
"typeVersion": 1
},
{
"id": "189eb862-ad36-4ea4-992e-e5111a0767f3",
"name": "スケジュールトリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-656,
224
],
"parameters": {
"rule": {
"interval": [
{
"field": "seconds",
"secondsInterval": 10
}
]
}
},
"typeVersion": 1.2
},
{
"id": "27f33e5c-06ac-44f0-a6e0-44c6f376ba82",
"name": "マージ",
"type": "n8n-nodes-base.merge",
"position": [
336,
224
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "7a18fcb5-df50-46f6-a8aa-de653b070786",
"name": "ナレッジベース",
"type": "n8n-nodes-base.notion",
"position": [
80,
368
],
"parameters": {
"options": {},
"resource": "databasePage",
"operation": "getAll",
"returnAll": true,
"databaseId": {
"__rl": true,
"mode": "list",
"value": "[KNOWLEDGE_BASE_DATABASE_ID]",
"cachedResultUrl": "[KNOWLEDGE_BASE_URL]",
"cachedResultName": "Knowledge Base"
}
},
"typeVersion": 2.2
},
{
"id": "829dd83a-58f8-44cd-a961-a1a0e2bd5c6e",
"name": "最終投稿フェッチャー",
"type": "n8n-nodes-base.httpRequest",
"position": [
-240,
224
],
"parameters": {
"url": "=https://graph.facebook.com/v21.0/{{$json[\"data\"][0].id}}/comments?access_token=[FACEBOOK_ACCESS_TOKEN]",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "facebookGraphApi"
},
"typeVersion": 4.2
},
{
"id": "eb84d700-a32e-43a3-b4a9-781274635bab",
"name": "CommentIDチェッカー",
"type": "n8n-nodes-base.notion",
"position": [
80,
96
],
"parameters": {
"filters": {
"conditions": [
{
"key": "Comment ID|rich_text",
"condition": "equals",
"richTextValue": "={{ $('Last Post Fetcher').first().json.data .sort((a, b) => new Date(b.created_time) - new Date(a.created_time))[0].id }}"
}
]
},
"options": {},
"resource": "databasePage",
"operation": "getAll",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "[PROCESSED_COMMENTS_DATABASE_ID]",
"cachedResultUrl": "[PROCESSED_COMMENTS_DATABASE_URL]",
"cachedResultName": "Processed Facebook Comments"
},
"filterType": "manual"
},
"typeVersion": 2.2,
"alwaysOutputData": true
},
{
"id": "b81bc886-a42c-4c7d-9e99-844340dc205d",
"name": "KBアレンジ",
"type": "n8n-nodes-base.code",
"position": [
544,
224
],
"parameters": {
"jsCode": "// Get the Knowledge Base data from the Notion node\nconst kbPages = $input.all().map(item => item.json);\n\n// Helper function to extract text from Notion properties\nfunction extractText(property) {\n if (!property) return '';\n \n // Handle rich_text properties\n if (property.rich_text && property.rich_text.length > 0) {\n return property.rich_text[0].plain_text || '';\n }\n \n // Handle title properties\n if (property.title && property.title.length > 0) {\n return property.title[0].plain_text || '';\n }\n \n // Handle select properties\n if (property.select) {\n return property.select.name || '';\n }\n \n // Handle number properties\n if (property.number) {\n return property.number.toString();\n }\n \n return '';\n}\n\n// Create a linear array of knowledge base entries\nconst knowledgeArray = kbPages.map(page => {\n const properties = page.properties || {};\n \n // Extract information based on your actual Notion properties\n const productName = page.property_products || '';\n const price = page.property_prices || '';\n const description = page.property_description || '';\n const name = page.name || '';\n \n // Create a formatted knowledge entry\n const knowledgeEntry = {\n name: name,\n product: productName,\n price: price,\n description: description,\n // Create a searchable text string\n searchableText: [name, productName, price, description]\n .filter(Boolean)\n .join(' | ')\n };\n \n return knowledgeEntry;\n}).filter(entry => entry.name || entry.product); // Only include entries with names or products\n\n// Create a simple string array for easy searching\nconst knowledgeStrings = knowledgeArray.map(entry => \n `NAME: ${entry.name || 'N/A'}` +\n (entry.product ? ` | PRODUCT: ${entry.product}` : '') +\n (entry.price ? ` | PRICE: ${entry.price}` : '') +\n (entry.description ? ` | DESCRIPTION: ${entry.description}` : '')\n);\n\n// Output the processed data\nreturn [{\n json: {\n // Original data passthrough\n ...($input.first()?.json || {}),\n \n // Structured knowledge base data\n knowledgeBase: {\n entries: knowledgeArray,\n searchableStrings: knowledgeStrings,\n totalProducts: knowledgeArray.length\n },\n \n // Simple concatenated string for memory context\n knowledgeContext: knowledgeStrings.join('\\n\\n'),\n \n // Alternative: Create a more concise version for memory\n compactKnowledge: knowledgeArray.map(entry => \n `${entry.name || entry.product}: ${entry.description || 'No description'} (${entry.price || 'Price not available'})`\n ).join('\\n')\n }\n}];"
},
"typeVersion": 2
},
{
"id": "91e25c71-a594-4bdc-a33c-c66857b62751",
"name": "新規コメントコンディショナー",
"type": "n8n-nodes-base.if",
"position": [
784,
224
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "e566ada9-1a12-41b8-aa9a-55bb7e14a10c",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.property_comment_id }}",
"rightValue": ""
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "83aa9b95-6671-4813-90e8-3820202324e6",
"name": "最新コメント",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
1024,
240
],
"parameters": {
"edge": "comments",
"node": "={{ \n $('Last Post Fetcher').first().json.data\n .sort((a, b) => new Date(b.created_time) - new Date(a.created_time))[0].id \n}}",
"options": {},
"graphApiVersion": "v23.0"
},
"typeVersion": 1
},
{
"id": "c0420da3-170b-4741-a71d-69998b34b13b",
"name": "返信ライター",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
1712,
224
],
"parameters": {
"edge": "comments",
"node": "={{ \n $('Last Post Fetcher').first().json.data\n .sort((a, b) => new Date(b.created_time) - new Date(a.created_time))[0].id \n}}",
"options": {
"queryParameters": {
"parameter": [
{
"name": "message",
"value": "={{ $('AI Agent').first().json.output }}"
}
]
}
},
"graphApiVersion": "v23.0",
"httpRequestMethod": "POST"
},
"typeVersion": 1
},
{
"id": "15eb2020-9963-4ae8-adf4-445d5506ae07",
"name": "CommentID to DB",
"type": "n8n-nodes-base.notion",
"position": [
1968,
224
],
"parameters": {
"options": {},
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "[PROCESSED_COMMENTS_DATABASE_ID]",
"cachedResultUrl": "[PROCESSED_COMMENTS_DATABASE_URL]",
"cachedResultName": "Processed Facebook Comments"
},
"propertiesUi": {
"propertyValues": [
{
"key": "Comment ID|rich_text",
"textContent": "={{ $('Last Post Fetcher').first().json.data .sort((a, b) => new Date(b.created_time) - new Date(a.created_time))[0].id }}"
},
{
"key": "Response Status|status",
"statusValue": "Done"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "1cbe6d39-f106-4320-b9a0-7520e7ea4a17",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-512,
128
],
"parameters": {
"color": 4,
"width": 214,
"content": "Initiates the workflow by retrieving all posts from the specified Facebook Page via the Graph API."
},
"typeVersion": 1
},
{
"id": "db015463-5489-4b59-aca8-8f648a6dc40e",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-272,
128
],
"parameters": {
"color": 5,
"width": 176,
"content": "Processes the list of posts to isolate the most recently published one."
},
"typeVersion": 1
},
{
"id": "a3a44851-6263-47b0-bd4e-e1e931cd9033",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 4,
"width": 256,
"content": "Queries a database to verify if the latest comment's unique ID has already been processed, preventing duplicate replies."
},
"typeVersion": 1
},
{
"id": "8d5f94d9-f8d1-44d5-baba-683c8d2d625e",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
288
],
"parameters": {
"color": 5,
"width": 230,
"height": 192,
"content": "Fetches the complete, up-to-date product information and knowledge base from the connected Notion database."
},
"typeVersion": 1
},
{
"id": "a7c140a5-42cb-4709-a761-077ea5aacf4c",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
448,
144
],
"parameters": {
"color": 5,
"content": "Transforms the raw knowledge base data into a structured and easily searchable format for the AI model."
},
"typeVersion": 1
},
{
"id": "2c1e6e91-6bf3-4b11-bc89-da414ee8709c",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
128
],
"parameters": {
"color": 4,
"width": 224,
"height": 192,
"content": " A conditional gate; it only allows the workflow to proceed if the comment is new"
},
"typeVersion": 1
},
{
"id": "2eee31fa-d437-4c18-9328-1f447b447d9a",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
976,
144
],
"parameters": {
"color": 5,
"width": 208,
"content": "Extracts the full content and metadata of the most recent comment from the latest post."
},
"typeVersion": 1
},
{
"id": "8ce9e8cb-b20f-4efa-97b2-eba6e3c47ede",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
112
],
"parameters": {
"color": 6,
"width": 288,
"height": 208,
"content": "The core processing unit. It analyzes the customer's comment, consults the knowledge base for factual responses, and generates a personalized, empathetic reply in the target language."
},
"typeVersion": 1
},
{
"id": "101a2030-dbd0-44af-8116-9bd1bf1a874d",
"name": "付箋8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1616,
144
],
"parameters": {
"color": 4,
"content": "Takes the AI-generated response and posts it as a reply to the customer's comment on Facebook."
},
"typeVersion": 1
},
{
"id": "5104091f-7597-4413-a5b6-28da90821b66",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1888,
128
],
"parameters": {
"color": 5,
"width": 272,
"height": 208,
"content": " Logs the ID of the newly processed comment into the database to mark it as complete and prevent reprocessing in the future."
},
"typeVersion": 1
},
{
"id": "c2a5a6cb-79a4-4c7b-9475-4681b45bd3d3",
"name": "投稿フェッチャー",
"type": "n8n-nodes-base.httpRequest",
"position": [
-432,
224
],
"parameters": {
"url": "=https://graph.facebook.com/v21.0/[FACEBOOK_PAGE_ID]/posts?access_token=[FACEBOOK_ACCESS_TOKEN]\n",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "facebookGraphApi"
},
"credentials": {
"facebookGraphApi": {
"id": "C41mPQIciSciFLKJ",
"name": "Facebook Graph account"
}
},
"typeVersion": 4.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "0e48350f-f5ab-4cdd-83e8-5b4b16974fdd",
"connections": {
"27f33e5c-06ac-44f0-a6e0-44c6f376ba82": {
"main": [
[
{
"node": "b81bc886-a42c-4c7d-9e99-844340dc205d",
"type": "main",
"index": 0
}
]
]
},
"01df470c-f637-4065-af99-291dc56f4796": {
"main": [
[
{
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"type": "main",
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}
]
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},
"b81bc886-a42c-4c7d-9e99-844340dc205d": {
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[
{
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"type": "main",
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},
"c0420da3-170b-4741-a71d-69998b34b13b": {
"main": [
[
{
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"type": "main",
"index": 0
}
]
]
},
"6c83bfa2-e7b6-4846-97c5-c21f62a6f56e": {
"ai_languageModel": [
[
{
"node": "01df470c-f637-4065-af99-291dc56f4796",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"c2a5a6cb-79a4-4c7b-9475-4681b45bd3d3": {
"main": [
[
{
"node": "829dd83a-58f8-44cd-a961-a1a0e2bd5c6e",
"type": "main",
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]
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},
"7a18fcb5-df50-46f6-a8aa-de653b070786": {
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[
{
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"type": "main",
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}
]
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},
"83aa9b95-6671-4813-90e8-3820202324e6": {
"main": [
[
{
"node": "01df470c-f637-4065-af99-291dc56f4796",
"type": "main",
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}
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},
"189eb862-ad36-4ea4-992e-e5111a0767f3": {
"main": [
[
{
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},
"eb84d700-a32e-43a3-b4a9-781274635bab": {
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"type": "main",
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},
"829dd83a-58f8-44cd-a961-a1a0e2bd5c6e": {
"main": [
[
{
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"type": "main",
"index": 0
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{
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"type": "main",
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},
"91e25c71-a594-4bdc-a33c-c66857b62751": {
"main": [
[],
[
{
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"type": "main",
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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 - AIチャットボット, マルチモーダルAI
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23
カテゴリー2
ノードタイプ10
作成者
Abdullah Alshiekh
@abdullah01🚀 Automation pro building AI-powered workflows with n8n. 💼 Special focus on real use cases 🔧 Love clean, flexible, and business-ready automations.
外部リンク
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