🗞️ AIドライブの持続可能性マーケティングブリーフィング（Gmail、GPT-4o使用）
上級
これはAI, Marketing分野の自動化ワークフローで、21個のノードを含みます。主にIf, Set, Code, Html, Gmail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駆動型持続可能性マーケティングブリーフィング（Gmail、GPT-4oを使用）
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 (21)
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": "=",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "10d2d97d-428e-4224-beae-e4ce4e090e4f",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
3220,
2500
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7f8ac804-088d-4dfa-a661-8b6b09a6e340",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.date }}",
"rightValue": "={{ $now.minus(5,\"day\").day }} {{ $now.minus(5,\"day\").monthLong }} {{ $now.minus(5,\"day\").year }}"
},
{
"id": "094bd21e-1d23-4f06-a286-501045a53c9b",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.type }}",
"rightValue": "News article"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "968fac7c-48be-4fe1-a1d0-3c1fd828b0bc",
"name": "OpenAI チャットモデル3",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3640,
2480
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "fde7d8e1-4124-4506-abb7-8e400ad2729b",
"name": "Agent Classification",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3660,
2300
],
"parameters": {
"text": "=Title: {{$json.title}}\nDescription: {{$json.description}}\n\nIs this article about sustainability? Return only: true or false\n",
"options": {
"systemMessage": "=You are a classification assistant. \n\nYour role is to analyze the title and description of an article and determine if it is related to sustainability. \n\nYou must only return {\"answer\": true} if the article is clearly related to sustainability (e.g., environmental protection, renewable energy, sustainable development, climate action, green economy, etc.). \n\nIf it is not clearly related, return {\"answer\": false}.\n\nIf the description is empty or missing, rely only on the title. Your response must be only one of the two JSON options: {\"answer\": true} or {\"answer\": false}. Do not provide explanations.\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.8
},
{
"id": "670c0877-008f-4943-9a6b-c5e543ae6482",
"name": "Get Sustainability News",
"type": "n8n-nodes-base.googleSheets",
"position": [
2380,
2880
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "true",
"lookupColumn": "sustainability"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "=",
"cachedResultName": "="
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "=",
"cachedResultUrl": "=",
"cachedResultName": "="
}
},
"notesInFlow": true,
"typeVersion": 4.5
},
{
"id": "ba6605af-5b5f-44d1-b47d-4246c2b999f3",
"name": "Send to your mailing list",
"type": "n8n-nodes-base.gmail",
"position": [
2740,
2880
],
"webhookId": "=",
"parameters": {
"sendTo": "email@gmail.com",
"message": "={{ $json.email_body }}",
"options": {
"appendAttribution": false
},
"subject": "Your Sustainability News Digest from LogiGreen"
},
"notesInFlow": true,
"typeVersion": 2.1
},
{
"id": "5d662a41-969a-49d8-a594-f0f962d51350",
"name": "Generate Email HTML",
"type": "n8n-nodes-base.code",
"position": [
2560,
2880
],
"parameters": {
"jsCode": "const summary = `Welcome to the EU Sustainability News Digest provided by <a href=\"https://logi-green.com\" style=\"color: #0077cc; text-decoration: none;\">LogiGreen Consulting</a>.`;\n\nconst articles = items.map(item => item.json); // each item is an article\n\nlet html = `\n<div style=\"font-family: Arial, sans-serif; max-width: 700px; margin: auto;\">\n <h2 style=\"color: #2c3e50;\">🌍 EU News Digest – ${new Date().toLocaleDateString('en-GB', { day: 'numeric', month: 'long', year: 'numeric' })}</h2>\n <p style=\"font-size: 16px; color: #333;\">${summary}</p>\n <hr style=\"border: 1px solid #eee;\" />\n`;\n\nfor (const article of articles) {\n const link = article.link.startsWith(\"http\") ? article.link : `https://ec.europa.eu${article.link}`;\n html += `\n <div style=\"display: flex; margin: 20px 0; border-bottom: 1px solid #ddd; padding-bottom: 15px;\">\n ${article.image ? `<img src=\"${article.image}\" alt=\"\" width=\"150\" style=\"margin-right: 15px; border-radius: 6px; object-fit: cover;\" />` : ''}\n <div>\n <p style=\"margin: 0; font-size: 12px; color: #888;\">${article.type} | ${article.date}</p>\n <h3 style=\"margin: 5px 0;\">\n <a href=\"${link}\" style=\"text-decoration: none; color: #0077cc;\">${article.title}</a>\n </h3>\n <p style=\"margin: 5px 0; color: #333;\">${article.description || ''}</p>\n ${article.read_time ? `<p style=\"font-size: 12px; color: gray;\">${article.read_time}</p>` : ''}\n </div>\n </div>\n `;\n}\n\nhtml += `\n <div style=\"margin-top: 40px; padding-top: 20px; border-top: 1px solid #eee; text-align: center;\">\n <p style=\"font-size: 12px; color: #999;\">You received this email as part of the EU Sustainability News Digest project.</p>\n <a href=\"https://logi-green.com\" target=\"_blank\">\n <img src=\"https://www.logi-green.com/web/image/website/1/logo/LogiGreen%20Consulting?unique=e2af3c6\" alt=\"LogiGreen Consulting Logo\" style=\"height: 40px; margin-top: 10px;\" />\n </a>\n </div>\n</div>\n`;\n\n\nreturn [{ json: { email_body: html } }];\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "378789d8-7b01-40ca-8bd5-96e1d137445d",
"name": "Parse Article Blocks",
"type": "n8n-nodes-base.html",
"position": [
3000,
2500
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"dataPropertyName": "articles",
"extractionValues": {
"values": [
{
"key": "type",
"cssSelector": "ul.ecl-content-block__primary-meta-container li:nth-child(1)"
},
{
"key": "date",
"cssSelector": "ul.ecl-content-block__primary-meta-container li:nth-child(2) time\t"
},
{
"key": "title",
"cssSelector": "div.ecl-content-block__title a\t"
},
{
"key": "link",
"attribute": "href",
"cssSelector": "div.ecl-content-block__title a\t",
"returnValue": "attribute"
},
{
"key": "description",
"cssSelector": "div.ecl-content-block__description p\t"
},
{
"key": "image",
"attribute": "src",
"cssSelector": "picture img",
"returnValue": "attribute"
},
{
"key": "read_time",
"cssSelector": "ul.ecl-content-block__secondary-meta-container span.ecl-content-block__secondary-meta-label\t"
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "cf7017a4-b996-452b-8aca-6f37964bd288",
"name": "Extract Articles Blocks",
"type": "n8n-nodes-base.html",
"position": [
2560,
2500
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "articles",
"cssSelector": "div.ecl-content-item-block__item",
"returnArray": true,
"returnValue": "html"
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "d6f27e99-d866-4c27-9e99-5c579f505751",
"name": "Trigger at 08:30 am",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
2120,
2500
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 8,
"triggerAtMinute": 30
}
]
}
},
"typeVersion": 1.2
},
{
"id": "1cc2483b-72ca-415d-90fc-a9b3ed0f6de8",
"name": "Query EU News Website",
"type": "n8n-nodes-base.httpRequest",
"position": [
2340,
2500
],
"parameters": {
"url": "https://commission.europa.eu/news-and-media/news_en",
"options": {}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "93bb792d-7979-4b68-a026-df960ea3cd8d",
"name": "分割出力 by Article Block",
"type": "n8n-nodes-base.splitOut",
"position": [
2780,
2500
],
"parameters": {
"options": {},
"fieldToSplitOut": "articles"
},
"typeVersion": 1
},
{
"id": "127662c6-5561-4d35-9ca5-d23b26c223e9",
"name": "Loop Over Articles",
"type": "n8n-nodes-base.splitInBatches",
"position": [
3440,
2500
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "900bb98e-5b83-4e29-81f8-2f04478f9c2e",
"name": "Sustainability Flag",
"type": "n8n-nodes-base.set",
"position": [
4040,
2300
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "dcfc8260-1125-4883-8895-8a5f55d09341",
"name": "sustainability",
"type": "string",
"value": "={{ $json.output.answer }}"
}
]
}
},
"notesInFlow": true,
"retryOnFail": false,
"typeVersion": 3.4
},
{
"id": "a6114158-8842-4cb5-b43b-0c4cb3134e0e",
"name": "マージ Article + Flag",
"type": "n8n-nodes-base.merge",
"position": [
4260,
2360
],
"parameters": {
"mode": "combineBySql"
},
"notesInFlow": true,
"typeVersion": 3.1
},
{
"id": "585e6348-9af4-49e8-b30b-605d04921a88",
"name": "Record Results",
"type": "n8n-nodes-base.googleSheets",
"position": [
4480,
2440
],
"parameters": {
"columns": {
"value": {
"date": "={{ $json.date }}",
"link": "={{ $json.link }}",
"type": "={{ $json.type }}",
"image": "={{ $json.image }}",
"title": "={{ $json.title }}",
"read_time": "={{ $json.read_time }}",
"description": "={{ $json.description }}",
"sustainability": "={{ $json.sustainability }}"
},
"schema": [
{
"id": "sustainability",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "sustainability",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "type",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "date",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "link",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "description",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "read_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "read_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "=",
"cachedResultName": "="
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "=",
"cachedResultUrl": "=",
"cachedResultName": "="
}
},
"notesInFlow": true,
"typeVersion": 4.5
},
{
"id": "78743430-d367-45b9-8d79-72dfdd436e3b",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
3920,
2480
],
"parameters": {
"jsonSchemaExample": "{\n \"answer\": \"boolean | null\"\n}\n"
},
"typeVersion": 1.2
},
{
"id": "a5bc414c-3a8c-45f2-ae73-9dbe591a9bae",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2060,
1960
],
"parameters": {
"color": 7,
"width": 220,
"height": 680,
"content": "### 1. Workflow Trigger with Cron Job\nThe workflow is triggered every morning at 08:30 am (local time)\n\n#### How to setup?\n- Select the time you want to set it up\n"
},
"typeVersion": 1
},
{
"id": "a21f729a-2e9d-4c7d-a31c-e68c54ee613e",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
2300,
2680
],
"parameters": {
"color": 7,
"width": 620,
"height": 380,
"content": "### 4. Generate HTML page and send by email\nThis block collects all the articles of the day to create a prettified HTML page that is sent using the Gmail node.\n#### How to setup?\n- **Gmail Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node]\n"
},
"typeVersion": 1
},
{
"id": "5b79acce-0b33-493d-ba90-a93fa6f32fbb",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2300,
1960
],
"parameters": {
"color": 7,
"width": 840,
"height": 700,
"content": "### 2. Scrapping and Parsing of Articles blocks\nThis starts with the HTTP node collecting HTML code that is parsed to extract Article Titles, Link, Image Cover and Reading time.\n\n#### How to setup?\n*Nothing to do*"
},
"typeVersion": 1
},
{
"id": "5705f302-1c6e-4a99-a653-f093186787f5",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3220,
1960
],
"parameters": {
"color": 7,
"width": 1440,
"height": 700,
"content": "### 3. Classifiy all the articles (Sustainability: true or false)\nThis starts with the If node that filters based on the scope date fixed by you. Through the loop, the AI Agent classify the articles using the title and description.\nThe ones that are flagged as \"sustainability\" are recorded in a Google Sheet.\n\n#### How to setup?\n- **Record results in the Google Sheet Node**:\n 1. Add your Google Sheet API credentials to access the Google Sheet file\n 2. Select the file using the list, an URL or an ID\n 3. Select the sheet in which you want to record the articles\n 4. Map the fields: **sustainability, type, date, title, link, description, image, read time**\n [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\n- **AI Agent with the Chat Model**:\n 1. Add a chat model with the required credentials *(Example: Open AI 4o-mini)*"
},
"typeVersion": 1
},
{
"id": "f7a0f75d-c70e-46cb-a260-6c05d890e63c",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2960,
2680
],
"parameters": {
"width": 580,
"height": 380,
"content": "### [Check the Tutorial](https://www.youtube.com/watch?v=q8VCAUbuat8)\n"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"10d2d97d-428e-4224-beae-e4ce4e090e4f": {
"main": [
[
{
"node": "127662c6-5561-4d35-9ca5-d23b26c223e9",
"type": "main",
"index": 0
}
]
]
},
"585e6348-9af4-49e8-b30b-605d04921a88": {
"main": [
[
{
"node": "127662c6-5561-4d35-9ca5-d23b26c223e9",
"type": "main",
"index": 0
}
]
]
},
"127662c6-5561-4d35-9ca5-d23b26c223e9": {
"main": [
[],
[
{
"node": "fde7d8e1-4124-4506-abb7-8e400ad2729b",
"type": "main",
"index": 0
},
{
"node": "Merge Article + Flag",
"type": "main",
"index": 1
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "fde7d8e1-4124-4506-abb7-8e400ad2729b",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"5d662a41-969a-49d8-a594-f0f962d51350": {
"main": [
[
{
"node": "ba6605af-5b5f-44d1-b47d-4246c2b999f3",
"type": "main",
"index": 0
}
]
]
},
"900bb98e-5b83-4e29-81f8-2f04478f9c2e": {
"main": [
[
{
"node": "Merge Article + Flag",
"type": "main",
"index": 0
}
]
]
},
"d6f27e99-d866-4c27-9e99-5c579f505751": {
"main": [
[
{
"node": "1cc2483b-72ca-415d-90fc-a9b3ed0f6de8",
"type": "main",
"index": 0
},
{
"node": "670c0877-008f-4943-9a6b-c5e543ae6482",
"type": "main",
"index": 0
}
]
]
},
"fde7d8e1-4124-4506-abb7-8e400ad2729b": {
"main": [
[
{
"node": "900bb98e-5b83-4e29-81f8-2f04478f9c2e",
"type": "main",
"index": 0
}
]
]
},
"Merge Article + Flag": {
"main": [
[
{
"node": "585e6348-9af4-49e8-b30b-605d04921a88",
"type": "main",
"index": 0
}
]
]
},
"378789d8-7b01-40ca-8bd5-96e1d137445d": {
"main": [
[
{
"node": "10d2d97d-428e-4224-beae-e4ce4e090e4f",
"type": "main",
"index": 0
}
]
]
},
"1cc2483b-72ca-415d-90fc-a9b3ed0f6de8": {
"main": [
[
{
"node": "cf7017a4-b996-452b-8aca-6f37964bd288",
"type": "main",
"index": 0
}
]
]
},
"cf7017a4-b996-452b-8aca-6f37964bd288": {
"main": [
[
{
"node": "Split Out by Article Block",
"type": "main",
"index": 0
}
]
]
},
"670c0877-008f-4943-9a6b-c5e543ae6482": {
"main": [
[
{
"node": "5d662a41-969a-49d8-a594-f0f962d51350",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "fde7d8e1-4124-4506-abb7-8e400ad2729b",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Split Out by Article Block": {
"main": [
[
{
"node": "378789d8-7b01-40ca-8bd5-96e1d137445d",
"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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人工知能
n8nノードの探索（可視化リファレンスライブラリ内）
n8nノードを可視化リファレンスライブラリで探索
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113 ノードI versus AI
その他
AI、ElevenLabs、PIAPI Shotstack / Creatomate を使用して動画を作成し、YouTube に投稿
AI、ElevenLabs、PIAPI Shotstack/Creatomate を使用して動画を生成し、YouTube に投稿
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79 ノードImmanuel
人工知能
イベントスクレイピングと Google Sheets（EU）
Google Sheetsを使用してEUイベントをスクレイピング
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20 ノードSamir Saci
人工知能
ペットショップ 4
ペットショップ予約AIエージェント
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187 ノードBruno Dias
人工知能
ワークフロー情報
難易度
上級
ノード数21
カテゴリー2
ノードタイプ15
作成者
Samir Saci
@samirsaciAutomation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci
外部リンク
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