AI ベースのサプライヤー政策と RSS フィード分析とリスクスコアリング
上級
これはAI分野の自動化ワークフローで、29個のノードを含みます。主にIf, Code, Sort, Gmail, Merge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。 リスクスコアを統合したAIベンダー政策およびRSSフィード分析システム
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 Gemini API Key
使用ノード (29)
カテゴリー
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": "DHLbKyEoYyzkhEBA",
"meta": {
"instanceId": "818946a823ca34034ea73f38168c80e4b7ae5021e8280b7645e14b95574ba259"
},
"name": "AI-Powered Vendor Policy & Feed Analysis with Integrated Risk Scoring",
"tags": [],
"nodes": [
{
"id": "477ac26f-b2f9-48a9-ba04-8acff89225ff",
"name": "HTTP Request",
"type": "n8n-nodes-base.httpRequest",
"notes": "🌐 Requests vendor policy pages for content inspection.",
"position": [
-700,
260
],
"parameters": {
"url": "={{ $json.feedUrl }}",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
}
},
"notesInFlow": true,
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "209ac43c-361b-4cdf-b8f1-5cfadf3bace0",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "🤖 Analyzes grouped RSS feeds and categorizes risks using structured JSON.",
"position": [
200,
-420
],
"parameters": {
"text": "={{ $json.entries }}",
"options": {
"systemMessage": "=Vendor Risk & Compliance Digest Prompt\n\nAI Agent Role: You are a Senior Compliance & Risk Intelligence Analyst embedded in an automation workflow. Your job is to analyze compliance-related content from vendor feeds and produce structured, actionable summaries for use by compliance, security, and executive teams. Dont Halucinate, Dont add any new news, only act on the provided data\n\n🧾 Input Format\n\nYou will receive a single JSON object containing an array of items. Each item is structured as:\n\n{\n \"Title\": \"...\",\n \"Vendor Name\": \"...\",\n \"link\": \"https://…\",\n \"content\": \"Snippet or article content here\"\n}\n\n🧠 Instructions\n\nDeduplicate entries by the link field.\n\nFor each unique item:\n\nAssign a Risk Rating:\n\nHigh\n\nMedium\n\nLow\n\nInformational\n\nWrite a 2-sentence summary from a compliance, risk, or security standpoint.\n\nGroup the output by the risk level in a single JSON object.\n\nOmit any empty groups (i.e., risk levels with no entries).\n\nDo not include extra prose, HTML, Markdown, or escape characters.\n\n✅ Output Format\n\nRespond with only this structure:\n\n{\n \"High\": [\n { \"summary\": \"...\", \"link\": \"https://...\", \"Title\": \"...\",\"Vendor Name\": \"...\" }\n ],\n \"Medium\": [ ... ],\n \"Low\": [ ... ],\n \"Informational\": [ ... ]\n}\n\nThis output will be used by downstream code to generate an HTML email digest.",
"passthroughBinaryImages": false
},
"promptType": "define"
},
"notesInFlow": true,
"typeVersion": 2,
"alwaysOutputData": false
},
{
"id": "371b32e3-46de-41a7-9358-34761fb1a796",
"name": "RSSフィードリスト",
"type": "n8n-nodes-base.code",
"notes": "📰 Provide a list of RSS feeds (Security, Privacy, Compliance). Customize URLs as needed.",
"position": [
-1120,
-320
],
"parameters": {
"jsCode": "const feeds = [\n { name: 'TechCrunch', feedUrl: 'https://techcrunch.com/feed/' },\n { name: 'The Verge', feedUrl: 'https://www.theverge.com/rss/index.xml' },\n { name: 'SmashingMag', feedUrl: 'https://www.smashingmagazine.com/feed/' },\n];\n\n// 2) Transform into n8n-compatible output\nreturn feeds.map(feed => ({\n json: {\n name: feed.name,\n feedUrl: feed.feedUrl,\n }\n}));"
},
"executeOnce": true,
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "2f441c7f-6acf-49a8-bfdc-7daca7d444d1",
"name": "フィードの分割",
"type": "n8n-nodes-base.splitOut",
"notes": "🔀 Split RSS list so each feed can be fetched individually.",
"position": [
-900,
-320
],
"parameters": {
"options": {},
"fieldToSplitOut": "feedUrl"
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "745a6e0b-418a-4f1f-ace6-2b91ac5e0a8a",
"name": "ベンダーRSSフィード読み取り",
"type": "n8n-nodes-base.rssFeedRead",
"notes": "📥 Reads RSS feed content per URL.",
"position": [
-680,
-320
],
"parameters": {
"url": "={{ $json.feedUrl }}",
"options": {}
},
"notesInFlow": true,
"typeVersion": 1.1
},
{
"id": "ec6e38d4-dcc4-4b16-8894-d4161a244291",
"name": "ベンダーURL",
"type": "n8n-nodes-base.code",
"notes": "🌐 Provide a list of direct vendor policy webpage URLs to monitor updates.",
"position": [
-1140,
260
],
"parameters": {
"jsCode": "const feeds = [\n \n {\n name: 'test', feedUrl:'https://www.ted.com/about/our-organization/our-policies-terms/privacy-policy'},\n {name: 'test2', feedUrl: 'https://www.teamviewer.com/en-in/global/support/knowledge-base/teamviewer-remote/devices/policies/'},\n];\n\n// 2) Transform into n8n-compatible output\nreturn feeds.map(feed => ({\n json: {\n name: feed.name,\n feedUrl: feed.feedUrl,\n }\n}));"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "7c705e85-bff5-4d71-9a82-5985b1f230c1",
"name": "AIエージェント1",
"type": "@n8n/n8n-nodes-langchain.agent",
"notes": "🧠 Summarizes individual webpage content into short risk summaries.",
"position": [
560,
260
],
"parameters": {
"text": "={{ $json.content }} & {{ $json.url }}",
"options": {
"systemMessage": "You are a Senior Risk and Compliance Analyst.\n\nYour job is to:\n- Read the content and generate a short 2-line summary\n- Categorize the risk as one of: High, Medium, Low, Informational\n\nReturn a clean JSON like:\n{\n \"summary\": \"...\",\n \"risk\": \"Medium\",\n \"title\": \"...\",\n \"Vendor Name\": \"....\",\n \"url\": \"...\"\n}\n\nInput:\nTitle: {{$json[\"title\"]}}\nLink: {{$json[\"link\"]}}\nContent: {{$json[\"content\"]}}\n",
"passthroughBinaryImages": false
},
"promptType": "define"
},
"notesInFlow": true,
"typeVersion": 2,
"alwaysOutputData": false
},
{
"id": "225e4108-f4e1-428c-a62a-870fdf2e0eb4",
"name": "Google Gemini Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
580,
480
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-001"
},
"credentials": {
"googlePalmApi": {
"id": "3Ekb1D8LUyg2zvwJ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "92968717-e76c-4fd4-acad-7cae37e6ca07",
"name": "Gmail",
"type": "n8n-nodes-base.gmail",
"notes": "📨 Sends summary email for webpage policy updates.",
"position": [
1160,
260
],
"webhookId": "d33f7afd-47c3-4616-9a37-6319d93c0e92",
"parameters": {
"sendTo": "Email id here",
"message": "={{ $json.html }}",
"options": {},
"subject": "=Vendor Webpage Change {{$now}}"
},
"credentials": {
"gmailOAuth2": {
"id": "DCglvd9VagxSYbJx",
"name": "Gmail account"
}
},
"notesInFlow": true,
"typeVersion": 2.1
},
{
"id": "d7e6e8bd-6f10-4107-b31f-c65650b40ce4",
"name": "Gmail1",
"type": "n8n-nodes-base.gmail",
"notes": "📧 Sends HTML newsletter summary email for RSS feeds.",
"position": [
960,
-320
],
"webhookId": "66d44179-c4aa-4acd-b61e-d91a1f888d9d",
"parameters": {
"sendTo": "Email id here",
"message": "={{ $json.html }}",
"options": {},
"subject": "=Vendor RSS Feed Monitoring as on {{ $now }}"
},
"credentials": {
"gmailOAuth2": {
"id": "DCglvd9VagxSYbJx",
"name": "Gmail account"
}
},
"notesInFlow": true,
"typeVersion": 2.1
},
{
"id": "dbe4724d-1914-40f3-b79b-48927a7dd62b",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
200,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-001"
},
"credentials": {
"googlePalmApi": {
"id": "3Ekb1D8LUyg2zvwJ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "df8b19b8-a079-4776-9165-4272f65d1833",
"name": "24時間以内のフィードをフィルタリング",
"type": "n8n-nodes-base.filter",
"notes": "⏳ Filters RSS articles published in the last 24 hours.",
"position": [
-460,
-320
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "09fe1774-6a5a-4cf5-97c8-0afb7d44431e",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ new Date($json.isoDate).getTime() }}",
"rightValue": "={{Date.now() - 24 * 60 * 60 * 1000 }}"
},
{
"id": "93e97b32-40d7-4514-bc70-a7f51729b681",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ new Date($json.pubDate).getTime()}}",
"rightValue": "={{ Date.now() - 24 * 60 * 60 * 1000 }}"
}
]
}
},
"notesInFlow": true,
"typeVersion": 2.2
},
{
"id": "2a4925f3-69cd-4162-9e65-dfd69f47e8c8",
"name": "メール用コンテンツのフォーマット",
"type": "n8n-nodes-base.code",
"notes": "💌 Formats AI response as styled HTML grouped by risk category.",
"position": [
660,
-320
],
"parameters": {
"jsCode": "const allItems = $input.all();\nlet combined = [];\n\nfor (const item of allItems) {\n let rawOutput = item.json.output || '';\n\n let cleaned = rawOutput\n .replace(/^```json\\s*/, '')\n .replace(/```$/, '')\n .trim()\n .replace(/,\\s*(\\]|\\})/g, '$1');\n\n try {\n const parsed = JSON.parse(cleaned);\n for (const [riskLevel, entries] of Object.entries(parsed)) {\n if (Array.isArray(entries)) {\n entries.forEach(entry => {\n combined.push({\n risk: riskLevel,\n summary: entry.summary,\n link: entry.link,\n title: entry.title || '',\n vendor: entry['Vendor Name'] || ''\n });\n });\n }\n }\n } catch (err) {\n throw new Error(\"Invalid JSON in input item: \" + err.message);\n }\n}\n\nconst riskData = { High: [], Medium: [], Low: [], Informational: [] };\ncombined.forEach(entry => {\n const risk = entry.risk || 'Informational';\n riskData[risk]?.push(entry);\n});\n\nconst categoryStyles = {\n High: { color: '#f28b82', emoji: '🔴' },\n Medium: { color: '#fbbc04', emoji: '🟠' },\n Low: { color: '#81c995', emoji: '🟢' },\n Informational: { color: '#a7c7e7', emoji: '🔵' }\n};\n\nlet html = `\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap');\n body {\n font-family: 'Inter', sans-serif;\n background: #fff;\n padding: 32px;\n margin: 0;\n color: #333;\n }\n .risk-heading {\n font-size: 22px;\n font-weight: 700;\n margin: 30px 0 20px;\n padding: 16px 24px;\n border-radius: 16px;\n color: #fff;\n display: inline-block;\n box-shadow: 0 2px 8px rgba(0,0,0,0.08);\n }\n .card {\n background: #fff;\n border-left: 6px solid;\n border-radius: 12px;\n padding: 24px;\n margin: 20px 0;\n box-shadow: 0 1px 6px rgba(0,0,0,0.06);\n max-width: 800px;\n }\n .vendor {\n font-size: 18px;\n font-weight: 700;\n color: #111;\n margin-bottom: 6px;\n }\n .title {\n font-size: 15px;\n font-weight: 600;\n color: #444;\n margin-bottom: 14px;\n }\n .summary {\n font-size: 15px;\n line-height: 1.6;\n margin-bottom: 12px;\n }\n .read-more a {\n font-size: 14px;\n color: #1a73e8;\n text-decoration: none;\n font-weight: 500;\n }\n .read-more a:hover {\n text-decoration: underline;\n }\n </style>\n</head>\n<body>\n`;\n\nfor (const [category, entries] of Object.entries(riskData)) {\n if (entries.length === 0) continue;\n const { color, emoji } = categoryStyles[category];\n html += `<div class=\"risk-heading\" style=\"background-color: ${color};\">${emoji} ${category} Risk</div>`;\n entries.forEach(item => {\n html += `\n <div class=\"card\" style=\"border-left-color: ${color};\">\n <div class=\"vendor\">${item.vendor || '—'}</div>\n <div class=\"title\">${item.title || '—'}</div>\n <div class=\"summary\">${item.summary}</div>\n <div class=\"read-more\"><a href=\"${item.link}\" target=\"_blank\" rel=\"noopener noreferrer\">Read more</a></div>\n </div>\n `;\n });\n}\n\nhtml += `</body></html>`;\n\nreturn [{ json: { html } }];\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "1e2a44d6-bc8b-42e8-abe9-c08e9dfde4a5",
"name": "フィードのソート",
"type": "n8n-nodes-base.sort",
"notes": "🔃 Sort the RSS entries by pubDate for consistent order.",
"position": [
-240,
-320
],
"parameters": {
"options": {},
"sortFieldsUi": {
"sortField": [
{
"fieldName": "pubDate"
}
]
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "4a7bb247-bc86-4228-b4a4-9a94e5bfcfb4",
"name": "AI向けにコンテンツをマージ",
"type": "n8n-nodes-base.code",
"notes": "🧩 Merges cleaned RSS entries into one payload for the AI agent.",
"position": [
-20,
-320
],
"parameters": {
"jsCode": "// Build an array of { link, content } pairs\nconst entries = items.map(item => ({\n link: item.json.link,\n content: item.json.contentSnippet || item.json.content || \"\"\n}));\n\n// Return one item with a single field “entries”\nreturn [\n {\n json: {\n entries\n }\n }\n];\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "1a4ca2a0-1379-4140-b9a0-f0a7efd5e774",
"name": "マージ",
"type": "n8n-nodes-base.merge",
"notes": "🔀 Merge both page meta and body-based content analysis.",
"position": [
-40,
260
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 3.2
},
{
"id": "d8a76c14-7aad-47f8-9b62-8254bb1e2d01",
"name": "メール用に要約をフォーマット",
"type": "n8n-nodes-base.code",
"notes": "🧾 Formats webpage summary output into email-ready HTML.",
"position": [
940,
260
],
"parameters": {
"jsCode": "const allItems = $input.all();\nlet combined = [];\n\nfor (const item of allItems) {\n let rawOutput = item.json.output || '';\n\n let cleaned = rawOutput\n .replace(/^```json\\s*/, '')\n .replace(/```$/, '')\n .trim()\n .replace(/,\\s*(\\]|\\})/g, '$1');\n\n try {\n const parsed = JSON.parse(cleaned);\n if (Array.isArray(parsed)) {\n combined.push(...parsed);\n } else if (parsed && parsed.risk && parsed.summary) {\n combined.push(parsed);\n }\n } catch (err) {\n throw new Error(\"Invalid JSON in input item: \" + err.message);\n }\n}\n\n// Group by risk\nlet riskData = {\n High: [],\n Medium: [],\n Low: [],\n Informational: []\n};\n\ncombined.forEach(entry => {\n const risk = entry.risk || 'Informational';\n riskData[risk]?.push(entry);\n});\n\nconst categoryStyles = {\n High: { color: '#f28b82', emoji: '🔴' },\n Medium: { color: '#fbbc04', emoji: '🟠' },\n Low: { color: '#81c995', emoji: '🟢' },\n Informational: { color: '#a7c7e7', emoji: '🔵' },\n};\n\nlet html = `\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap');\n body {\n font-family: 'Inter', sans-serif;\n background: #fff;\n padding: 32px;\n margin: 0;\n color: #333;\n }\n .risk-heading {\n font-size: 22px;\n font-weight: 700;\n margin: 30px 0 20px;\n padding: 16px 24px;\n border-radius: 16px;\n color: #fff;\n display: inline-block;\n box-shadow: 0 2px 8px rgba(0,0,0,0.08);\n }\n .card {\n background: #fff;\n border-left: 6px solid;\n border-radius: 12px;\n padding: 24px;\n margin: 20px 0;\n box-shadow: 0 1px 6px rgba(0,0,0,0.06);\n max-width: 800px;\n }\n .vendor {\n font-size: 18px;\n font-weight: 700;\n color: #111;\n margin-bottom: 6px;\n }\n .title {\n font-size: 15px;\n font-weight: 600;\n color: #444;\n margin-bottom: 14px;\n }\n .summary {\n font-size: 15px;\n line-height: 1.6;\n margin-bottom: 12px;\n }\n .read-more a {\n font-size: 14px;\n color: #1a73e8;\n text-decoration: none;\n font-weight: 500;\n }\n .read-more a:hover {\n text-decoration: underline;\n }\n </style>\n</head>\n<body>\n`;\n\nfor (const [category, entries] of Object.entries(riskData)) {\n if (entries.length === 0) continue;\n const { color, emoji } = categoryStyles[category];\n html += `<div class=\"risk-heading\" style=\"background-color: ${color};\">${emoji} ${category} Risk</div>`;\n entries.forEach(item => {\n html += `\n <div class=\"card\" style=\"border-left-color: ${color};\">\n <div class=\"vendor\">${item['Vendor Name'] || 'Vendor Unknown'}</div>\n <div class=\"title\">${item.title || 'Untitled Update'}</div>\n <div class=\"summary\">${item.summary}</div>\n <div class=\"read-more\"><a href=\"${item.url || item.link}\" target=\"_blank\" rel=\"noopener noreferrer\">Read more</a></div>\n </div>\n `;\n });\n}\n\nhtml += `</body></html>`;\n\nreturn [{ json: { html } }];\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "eb66887a-7de8-4151-8368-9e394084bdce",
"name": "Webページ内のコンテンツをスクレイピング",
"type": "n8n-nodes-base.code",
"notes": "🔍 Inspects webpage HTML body to find 'update/modified' dates.",
"position": [
-240,
380
],
"parameters": {
"jsCode": "const now = new Date();\nconst results = [];\n\nconst datePatterns = [\n /\\b(\\d{4}-\\d{2}-\\d{2}(?:[ T]\\d{2}:\\d{2}:\\d{2}(?:Z|[+\\-]\\d{2}:\\d{2})?)?)\\b/g, // ISO + timezone\n /\\b(\\d{4}\\/\\d{2}\\/\\d{2}(?:[ T]\\d{2}:\\d{2}:\\d{2})?)\\b/g,\n /\\b(\\d{2}\\/\\d{2}\\/\\d{4}(?: \\d{2}:\\d{2}:\\d{2})?)\\b/g,\n /\\b(\\d{2}\\.\\d{2}\\.\\d{4})\\b/g,\n /\\b([A-Z][a-z]{2,8} \\d{1,2},? \\d{4})\\b/g,\n /\\b(\\d{1,2} [A-Z][a-z]{2,8} \\d{4})\\b/g,\n /\\b([A-Z][a-z]{2},? \\d{1,2} [A-Z][a-z]{2} \\d{4})\\b/g // e.g., Fri, 20 Jun 2025\n];\n\nconst keywordRegex = /(updated|modified|published)/i;\nconst relativeRegex = /(updated|modified|published)[^\\d]{0,30}(today|yesterday)/i;\nconst keywordDateRegex = new RegExp(\n `(updated|modified|published)[^\\\\dA-Z]{0,30}[:\\\\-\\\\s]*?(\\\\d{4}-\\\\d{2}-\\\\d{2}(?:[ T]\\\\d{2}:\\\\d{2}:\\\\d{2})?|\\\\d{2}\\\\/\\\\d{2}\\\\/\\\\d{4}|\\\\d{2}\\\\.\\\\d{2}\\\\.\\\\d{4}|[A-Z][a-z]{2,8} \\\\d{1,2},? \\\\d{4})`,\n 'i'\n);\n\nfor (const item of items) {\n const content = item.json.data || \"\";\n let found = false;\n let matchedDate = null;\n let matchedType = null;\n let matchedKeyword = null;\n let note = \"\";\n let published = null;\n\n // --- 1. Direct keyword-date detection (e.g. Updated: 2025-06-20)\n const directMatch = content.match(keywordDateRegex);\n if (directMatch) {\n matchedKeyword = directMatch[1];\n const dateStr = directMatch[2];\n const parsedDate = new Date(dateStr);\n\n if (!isNaN(parsedDate)) {\n const isRecent = (() => {\n const diffMs = now - parsedDate;\n if (/\\d{2}:\\d{2}:\\d{2}/.test(dateStr)) {\n return diffMs >= 0 && diffMs <= 24 * 60 * 60 * 1000;\n } else {\n const test = new Date(parsedDate); test.setHours(0,0,0,0);\n const nowTrimmed = new Date(now); nowTrimmed.setHours(0,0,0,0);\n const diffDays = (nowTrimmed - test) / (24 * 60 * 60 * 1000);\n return diffDays === 0 || diffDays === 1;\n }\n })();\n\n if (isRecent) {\n found = true;\n matchedDate = dateStr;\n matchedType = /\\d{2}:\\d{2}:\\d{2}/.test(dateStr) ? \"datetime\" : \"date-only\";\n note = `Found '${matchedKeyword}' with ${matchedType} \"${dateStr}\" (recent).`;\n }\n }\n }\n\n // --- 2. Relative phrases like \"Updated yesterday\"\n if (!found) {\n const relMatch = content.match(relativeRegex);\n if (relMatch) {\n matchedKeyword = relMatch[1];\n const rel = relMatch[2].toLowerCase();\n if (rel === \"today\" || rel === \"yesterday\") {\n const refDate = new Date(now);\n if (rel === \"yesterday\") refDate.setDate(refDate.getDate() - 1);\n const isoDate = refDate.toISOString().split(\"T\")[0];\n found = true;\n matchedDate = isoDate;\n matchedType = \"relative\";\n note = `Found '${matchedKeyword}' with relative date \"${rel}\".`;\n }\n }\n }\n\n // --- 3. Fallback: Any keyword in proximity of any valid date\n if (!found && keywordRegex.test(content)) {\n for (const pat of datePatterns) {\n pat.lastIndex = 0;\n let dateMatch;\n while ((dateMatch = pat.exec(content)) !== null) {\n const dateStr = dateMatch[1];\n const parsedDate = new Date(dateStr);\n if (!isNaN(parsedDate)) {\n const isTime = /\\d{2}:\\d{2}:\\d{2}/.test(dateStr);\n const diff = isTime ? now - parsedDate : (() => {\n const pd = new Date(parsedDate); pd.setHours(0,0,0,0);\n const nd = new Date(now); nd.setHours(0,0,0,0);\n return (nd - pd);\n })();\n const withinLimit = isTime ? diff >= 0 && diff <= 86400000 : (diff === 0 || diff === 86400000);\n if (withinLimit) {\n found = true;\n matchedKeyword = \"generic-fallback\";\n matchedDate = dateStr;\n matchedType = isTime ? \"datetime\" : \"date-only\";\n note = `Fallback: keyword present and found nearby date \"${dateStr}\" (recent).`;\n break;\n }\n }\n }\n if (found) break;\n }\n }\n\n // --- Extract published (non-filtering fallback)\n if (!published) {\n for (const pat of datePatterns) {\n const match = pat.exec(content);\n if (match && Date.parse(match[1])) {\n published = match[1];\n break;\n }\n }\n }\n\n // --- Return only matched results\n if (!found) continue;\n\n results.push({\n json: {\n keywordDetected: true,\n matchedKeyword,\n matchedDate,\n matchedType,\n published: published || \"Not available\",\n note,\n data: content\n }\n });\n}\n\nreturn results;\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "dd0073e0-dbe8-4a46-953f-cc3759160817",
"name": "コードのクリーンアップ",
"type": "n8n-nodes-base.code",
"notes": "🧹 Cleans and strips raw HTML into readable content for AI processing.",
"position": [
260,
260
],
"parameters": {
"jsCode": "const items = [];\n\nfor (const item of $input.all()) {\n const rawHtml = item.json.body || item.json.data || \"\";\n let urlFromRequest = item.json.url || item.json.requestUrl || item.json.headers?.['x-final-url'] || '';\n\n let html = rawHtml.toString();\n\n // Try to extract canonical URL or og:url from HTML head\n let extractedUrl = '';\n\n const canonicalMatch = html.match(/<link[^>]+rel=[\"']canonical[\"'][^>]*href=[\"']([^\"']+)[\"']/i);\n if (canonicalMatch) {\n extractedUrl = canonicalMatch[1];\n } else {\n const ogUrlMatch = html.match(/<meta[^>]+property=[\"']og:url[\"'][^>]*content=[\"']([^\"']+)[\"']/i);\n if (ogUrlMatch) {\n extractedUrl = ogUrlMatch[1];\n }\n }\n\n const finalUrl = extractedUrl || urlFromRequest;\n\n // Strip scripts/styles/noscript/iframe/svg/etc.\n html = html.replace(/<script[\\s\\S]*?>[\\s\\S]*?<\\/script>/gi, '');\n html = html.replace(/<style[\\s\\S]*?>[\\s\\S]*?<\\/style>/gi, '');\n html = html.replace(/<noscript[\\s\\S]*?>[\\s\\S]*?<\\/noscript>/gi, '');\n html = html.replace(/<iframe[\\s\\S]*?>[\\s\\S]*?<\\/iframe>/gi, '');\n html = html.replace(/<svg[\\s\\S]*?>[\\s\\S]*?<\\/svg>/gi, '');\n html = html.replace(/<!--[\\s\\S]*?-->/g, '');\n html = html.replace(/<\\/?[^>]+(>|$)/g, '');\n\n // Decode HTML entities\n html = html\n .replace(/ /g, ' ')\n .replace(/&/g, '&')\n .replace(/"/g, '\"')\n .replace(/</g, '<')\n .replace(/>/g, '>');\n\n // Clean whitespace\n let content = html.replace(/\\s{2,}/g, ' ').trim();\n\n // Limit size (safe for AI)\n const maxLength = 30000;\n if (content.length > maxLength) content = content.slice(0, maxLength) + '... [truncated]';\n\n items.push({\n json: {\n url: finalUrl,\n content\n }\n });\n}\n\nreturn items;\n"
},
"notesInFlow": true,
"typeVersion": 2
},
{
"id": "c37f2b54-bdd5-4177-b70d-b48226692b7b",
"name": "毎日トリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"notes": "⏰ Triggers the workflow every day at 3 AM to initiate all newsletter jobs.",
"position": [
-1740,
20
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 3
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "7062eea3-a57a-4eb3-89f1-60209f9ed518",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-460
],
"parameters": {
"color": 6,
"width": 2540,
"height": 460,
"content": "## ✳️ RSS Feed-Based Monitoring\n"
},
"typeVersion": 1
},
{
"id": "03543938-705f-4ac9-9324-3316e1fa75f1",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
160
],
"parameters": {
"color": 4,
"width": 2560,
"height": 460,
"content": "## 🔎 Direct Webpage Monitoring"
},
"typeVersion": 1
},
{
"id": "13f31425-21fd-4485-b40b-1bccbb18db6b",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
440
],
"parameters": {
"width": 170,
"height": 140,
"content": "## ⬆️ Provide your vendor URLs here"
},
"typeVersion": 1
},
{
"id": "1f0d93fa-8ba9-4389-abca-5ea4f75ecbec",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
-160
],
"parameters": {
"width": 170,
"height": 140,
"content": "## ⬆️ Provide your vendor URLs here"
},
"typeVersion": 1
},
{
"id": "e210deb2-b084-4bd9-8355-6c1b1bb85fd9",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
980,
-160
],
"parameters": {
"width": 150,
"height": 80,
"content": "## 📧 Add your email"
},
"typeVersion": 1
},
{
"id": "3ce9e429-f52e-49e1-aaa4-d9c4e59a4469",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1160,
440
],
"parameters": {
"width": 150,
"height": 80,
"content": "## 📧 Add your email"
},
"typeVersion": 1
},
{
"id": "e6c24c42-8c67-4d2d-93e2-e7f7a7bfce4f",
"name": "URLの分割",
"type": "n8n-nodes-base.splitOut",
"notes": "🔀 Split array of vendor URLs to process them individually.",
"position": [
-920,
260
],
"parameters": {
"options": {},
"fieldToSplitOut": "feedUrl"
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "0d873aa3-baa9-4632-b489-bf439ed7d897",
"name": "ヘッダーの確認",
"type": "n8n-nodes-base.if",
"notes": "🕵️♂️ Checks vendor page headers for signs of recent updates (last modified).",
"position": [
-480,
260
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3cc0b4e8-e015-44fc-8118-ec7ec79dc2de",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ Object.entries($json.headers).some(([key, val]) => /update|modified/i.test(key) && !isNaN(Date.parse(val)) && Date.parse(val) >= Date.now() - 24*60*60*1000 ) }}",
"rightValue": ""
}
]
}
},
"notesInFlow": true,
"typeVersion": 2.2
},
{
"id": "059afda6-dc5f-457f-bdec-f6acd7feb161",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2700,
-880
],
"parameters": {
"width": 800,
"height": 1840,
"content": "## 🛡️ AI-Powered Vendor Policy & RSS Feed Analysis with Integrated Risk Scoring\n\nThis workflow automates monitoring, analyzing, and scoring vendor-related updates using RSS feeds and direct web scraping. It leverages AI agents to produce actionable, risk-categorized summaries delivered via email in a clean, styled HTML format.\n\n### 🚀 Features\n- 📥 **Pulls updates** from RSS feeds and vendor policy pages \n- 🤖 **Uses AI agents** to analyze and assign risk ratings (High, Medium, Low, Informational) \n- 🧹 **Extracts and cleans** web content for LLM processing \n- 🕵️ **Filters changes** within last 24 hours using headers, body text, and AI-based date detection \n- 💌 **Sends separate HTML email digests** for RSS and webpage-based insights \n\n### 🧱 Workflow Modules\n\n#### 📡 RSS Feed Monitoring\n- 🔗 Reads vendor feed URLs \n- ⏳ Filters posts from the last 24 hours \n- 🧠 Sends entries to AI agent for risk assessment and summarization \n\n#### 🌐 Webpage Monitoring\n- 🔍 Scrapes vendor policy URLs \n- 📅 Extracts update dates using:\n - 🧾 *Last-Modified headers*\n - 🧠 *HTML body scan* for keywords like “updated” or “modified”\n- ✍️ Uses AI to extract, summarize, and categorize risk content \n\n#### 🧾 Output\n- 🗂️ Formats summaries by risk level \n- 📧 Sends HTML digest emails to designated recipients \n\n---\n\n### 🧪 Use Case Scenarios\n\n#### ✅ Use Case 1: RSS Feed-Based Risk Categorization\n\n**Scenario:** \nYour organization subscribes to cybersecurity and compliance blogs like TechCrunch or Smashing Magazine. You want to identify which new updates might indicate High or Medium vendor risk.\n\n**Workflow Behavior:**\n- 🗞️ Filters feed articles from the last 24 hours \n- 🧠 AI assigns risk level and summarizes content \n- 📬 Email shows grouped insights (🔴 High, 🟠 Medium, etc.)\n\n**Example Output:**\n\n🔴 **High Risk** \n**Vendor:** Vendor name \n**Title:** “Zero-Day Vulnerability in XYZ” \n**Summary:** A critical zero-day was reported affecting vendor systems. Immediate patching is required. \n👉 *Read more*\n\n---\n\n#### ✅ Use Case 2: Vendor Policy Page Monitoring\n\n**Scenario:** \nYou need to track privacy or terms-of-service pages for subtle but important changes.\n\n**Workflow Behavior:**\n- 🌐 Scrapes specified vendor URLs (e.g., Privacy Policy) \n- 📅 Extracts “Last Modified” date or infers updates via HTML content \n- 🤖 AI summarizes the change and assesses risk \n\n**Example Output:**\n\n🟠 **Medium Risk** \n**Vendor:** Vendor name \n**Title:** “Privacy Policy Updated” \n**Summary:** The vendor added new clauses around third-party data sharing. Legal review recommended. \n👉 *Read more*\n"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "d815af19-e2bb-4f3a-b954-c10b47d98347",
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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
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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