Google Analytics、Firecrawl、InfraNodusを使用して最適化された優れたウェブサイトコンテンツ
上級
これはMarket Research, AI Summarization分野の自動化ワークフローで、17個のノードを含みます。主にCode, Form, FormTrigger, HttpRequest, SplitInBatchesなどのノードを使用。 Google Analytics、Firecrawl、InfraNodusを使用してトップウェブサイトのコンテンツを分析と最適化
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
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": "NVYTk6MsFOtt7oz1",
"meta": {
"instanceId": "2a26454b0172ffcb8d70ba77c235b1209f92cd71bf06c79ba609c7173b416d68",
"templateCredsSetupCompleted": true
},
"name": "Optimize Your Top Performing Website Content: Google Analytics, Firecrawl, and InfraNodus",
"tags": [
{
"id": "E52i6BJ7Ht6yF3OB",
"name": "Productivity",
"createdAt": "2025-06-04T10:29:27.533Z",
"updatedAt": "2025-06-04T10:29:27.533Z"
},
{
"id": "MyFEaUe9Eo4t7SvF",
"name": "SEO",
"createdAt": "2025-05-20T13:16:17.982Z",
"updatedAt": "2025-05-20T13:16:17.982Z"
},
{
"id": "kldZpTCan1suEN8v",
"name": "Marketing",
"createdAt": "2025-05-20T13:16:20.459Z",
"updatedAt": "2025-05-20T13:16:20.459Z"
}
],
"nodes": [
{
"id": "d891e465-f85d-4496-a17e-8def7784e7d0",
"name": "InfraNodus Save to Graph",
"type": "n8n-nodes-base.httpRequest",
"position": [
1260,
280
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndStatements?doNotSave=false&includeGraph=false&includeGraphSummary=true&includeGraph=false",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "top_support_pages"
},
{
"name": "text",
"value": "={{ $json.data.markdown }}"
},
{
"name": "=categories",
"value": "=[filename: {{ $('Loop Over Items').item.json.pagePath .slice(0,16)}}]"
},
{
"name": "contextSettings",
"value": "={{{ \"squareBracketsProcessing\":\"IGNORE_BRACKETS\"} }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6JhFyMydVKFetXnQ",
"name": "InfraNodus Demo API Key"
}
},
"typeVersion": 4.2
},
{
"id": "3b5a882d-eba5-4303-bd0f-b55bb9dc3c80",
"name": "Google アナリティクス",
"type": "n8n-nodes-base.googleAnalytics",
"position": [
260,
180
],
"parameters": {
"limit": 30,
"dateRange": "last30days",
"metricsGA4": {
"metricValues": [
{
"listName": "screenPageViews"
}
]
},
"propertyId": {
"__rl": true,
"mode": "list",
"value": "367609797",
"cachedResultUrl": "https://analytics.google.com/analytics/web/#/p367609797/",
"cachedResultName": "NodusLabs Support - GA4"
},
"dimensionsGA4": {
"dimensionValues": [
{
"name": "pagePath",
"listName": "other"
}
]
},
"additionalFields": {}
},
"credentials": {
"googleAnalyticsOAuth2": {
"id": "oyUs81DDRd1Y8Aw3",
"name": "Google Analytics account"
}
},
"typeVersion": 2
},
{
"id": "9b026c0e-b5e8-4269-875f-25020808cf2f",
"name": "コード",
"type": "n8n-nodes-base.code",
"position": [
460,
200
],
"parameters": {
"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.fullUrl = \"https://support.noduslabs.com\" + item.json.pagePath\n}\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "053de933-9cb0-454e-b504-7e51b9fce532",
"name": "ループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
700,
200
],
"parameters": {
"options": {
"reset": false
}
},
"typeVersion": 3
},
{
"id": "5b9a3e4d-ebeb-4ced-b4f3-f8d871d40351",
"name": "InfraNodus GraphRAG Summary",
"type": "n8n-nodes-base.httpRequest",
"position": [
980,
-240
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&includeGraph=false&includeGraphSummary=true",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "top_support_pages"
},
{
"name": "requestMode",
"value": "=summary"
},
{
"name": "aiTopics",
"value": "true"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6JhFyMydVKFetXnQ",
"name": "InfraNodus Demo API Key"
}
},
"typeVersion": 4.2
},
{
"id": "87d3b8f9-0b29-4f59-80d0-c24506c1672d",
"name": "Form",
"type": "n8n-nodes-base.form",
"position": [
1260,
-240
],
"webhookId": "87fe6592-cad6-44a2-bf6a-a7fed7e36b10",
"parameters": {
"operation": "completion",
"respondWith": "showText",
"responseText": "=<br>\n<h1>Top Content Summary</h1>\n<h3>{{ $json.aiAdvice[0].text }}</h3>\n<br>\n<h1>Main Topics</h1>\n<h3>{{ $json.graphSummary }}</h3>"
},
"typeVersion": 1
},
{
"id": "ab6c3d18-e864-4d7a-882d-640433d89692",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-1000
],
"parameters": {
"color": 4,
"width": 720,
"height": 820,
"content": "# Optimize Your Top Performing Website Content\n\n## What are the main topics your customers are interested in? \n## What new content could you create for them?\n\n### 1. Gets the top pages from your Google Analytics account\n### 2. Extracts text from them using Firecrawl API\n### 3. Generates a knowledge graph with [InfraNodus](https://infranodus.com) for all the pages\n### 4. Extracts the main topical clusters from the knowledge graph\n### 5. Finds the gaps between the clusters = opportunities for new content\n\n"
},
"typeVersion": 1
},
{
"id": "4b064223-fd1f-4908-9989-88460d674ffe",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-140
],
"parameters": {
"width": 200,
"height": 280,
"content": "## 1. Trigger the workflow"
},
"typeVersion": 1
},
{
"id": "b6947c22-985b-4930-8e2c-e8cacbf10999",
"name": "On form submission",
"type": "n8n-nodes-base.formTrigger",
"position": [
0,
-20
],
"webhookId": "b1dd1744-90bb-4bdd-bc1e-f9f78256435e",
"parameters": {
"options": {},
"formTitle": "Launch Analysis",
"formDescription": "This workflow will analyze top visited pages in a Google Analytics property you select and reveal the main topics inside."
},
"typeVersion": 2.2
},
{
"id": "e38ad0da-6f9c-4fc3-98b5-96f0d3306342",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-140
],
"parameters": {
"width": 200,
"height": 480,
"content": "## 2. Get top pages from your Google Analytics account\n\n🚨 Specify and connect your Google Analytics account here"
},
"typeVersion": 1
},
{
"id": "c25a4cff-fb5f-4c84-8600-13a3c98784e4",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
-140
],
"parameters": {
"width": 200,
"height": 480,
"content": "## 3. Fix analytics links\n\n🚨 Add the website name as a prefix to extracted links from Analytics"
},
"typeVersion": 1
},
{
"id": "149613e6-a11b-4749-85fd-f6c0322ee1bd",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
660,
-140
],
"parameters": {
"width": 200,
"height": 480,
"content": "## 4. Loop through each URL page"
},
"typeVersion": 1
},
{
"id": "fb3050ec-f4e6-424e-8f1e-7152791b8001",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
100
],
"parameters": {
"width": 200,
"height": 400,
"content": "## 5. Scrape and extract text from each URL\n\n🚨 Add your [Firecrawl API key](firecrawl.dev) here"
},
"typeVersion": 1
},
{
"id": "d517976a-f792-4d67-ac30-0b3e297a04c0",
"name": "URL to Markdown with Firecrawl",
"type": "n8n-nodes-base.httpRequest",
"position": [
960,
300
],
"parameters": {
"url": "https://api.firecrawl.dev/v1/scrape",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.fullUrl }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6A4tAAAhIAImDTiu",
"name": "Firecrawl"
}
},
"typeVersion": 4.2
},
{
"id": "e8a79940-f810-439d-b094-1a06c6550862",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
20
],
"parameters": {
"width": 200,
"height": 480,
"content": "## 6. Save Text to InfraNodus Knowledge Graph\n\n🚨 Add your [InfraNodus](https://infranodus.com) key and specify the graph to save to"
},
"typeVersion": 1
},
{
"id": "5ac8c100-f1f2-4b17-9187-1b32d06b0a4c",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
-540
],
"parameters": {
"width": 200,
"height": 540,
"content": "## 7. Get the main topics from the graph\n\n🚨 Add your [InfraNodus](https://infranodus.com) key and specify the same graph name as in Step 6"
},
"typeVersion": 1
},
{
"id": "4b51a22d-3c9f-4c3d-915e-197986ccd0f1",
"name": "付箋8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1200,
-540
],
"parameters": {
"width": 200,
"height": 520,
"content": "## 8. Display the final result\n\n### Optionally: you can send the result to your Slack channel or via email. Or link it to a content creation workflow."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "28265123-7003-43e7-81fe-db737067ca43",
"connections": {
"Code": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "5b9a3e4d-ebeb-4ced-b4f3-f8d871d40351",
"type": "main",
"index": 0
}
],
[
{
"node": "d517976a-f792-4d67-ac30-0b3e297a04c0",
"type": "main",
"index": 0
}
]
]
},
"Google Analytics": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"b6947c22-985b-4930-8e2c-e8cacbf10999": {
"main": [
[
{
"node": "Google Analytics",
"type": "main",
"index": 0
}
]
]
},
"d891e465-f85d-4496-a17e-8def7784e7d0": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"5b9a3e4d-ebeb-4ced-b4f3-f8d871d40351": {
"main": [
[
{
"node": "87d3b8f9-0b29-4f59-80d0-c24506c1672d",
"type": "main",
"index": 0
}
]
]
},
"d517976a-f792-4d67-ac30-0b3e297a04c0": {
"main": [
[
{
"node": "d891e465-f85d-4496-a17e-8def7784e7d0",
"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 - 市場調査, AI要約
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17
カテゴリー2
ノードタイプ7
作成者
InfraNodus
@infranodusI'm Dmitry, the founder of InfraNodus — an AI text network analysis tool. I'm passionate about networks and data visualization and its ability to reveal what everyone else is missing and to highlight different perspectives. I'm sharing the n8n templates that make use of this unique capability of InfraNodus for multiple scenarios.
外部リンク
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