競合企業のコンテンツ分析を通じて市場調査と SEO のコンテンツカンパスを発見
上級
これはAI, Marketing分野の自動化ワークフローで、37個のノードを含みます。主にIf, Code, Wait, Merge, SplitOut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。 競合サイトのコンテンツ空白をInfraNodusのGraphRAGで分析し、SEOを支援
前提条件
- •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 (37)
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": "bkRodBs0nMPT5cDv",
"meta": {
"instanceId": "2a26454b0172ffcb8d70ba77c235b1209f92cd71bf06c79ba609c7173b416d68",
"templateCredsSetupCompleted": true
},
"name": "Find the Content Gaps in Your Competitors' Discourse for Market Research and SEO",
"tags": [
{
"id": "MyFEaUe9Eo4t7SvF",
"name": "SEO",
"createdAt": "2025-05-20T13:16:17.982Z",
"updatedAt": "2025-05-20T13:16:17.982Z"
},
{
"id": "kRM0hQV2zw7VxrON",
"name": "Research",
"createdAt": "2025-05-21T19:44:19.136Z",
"updatedAt": "2025-05-21T19:44:19.136Z"
},
{
"id": "sJk9cUvmMU8FkJXv",
"name": "AI",
"createdAt": "2025-05-20T13:16:15.636Z",
"updatedAt": "2025-05-20T13:16:15.636Z"
},
{
"id": "kldZpTCan1suEN8v",
"name": "Marketing",
"createdAt": "2025-05-20T13:16:20.459Z",
"updatedAt": "2025-05-20T13:16:20.459Z"
},
{
"id": "9QurS5Kb1CkCYrnG",
"name": "Product",
"createdAt": "2025-05-21T17:06:29.704Z",
"updatedAt": "2025-05-21T17:06:29.704Z"
}
],
"nodes": [
{
"id": "17af96f8-2f12-48b3-864f-bd28aa765ba6",
"name": "「ワークフロー実行」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-200,
520
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9f270d49-c494-4c67-8749-e9ae3dfd0cef",
"name": "HTTP リクエスト",
"type": "n8n-nodes-base.httpRequest",
"position": [
380,
300
],
"parameters": {
"url": "={{ $json.URL }}",
"options": {
"redirect": {
"redirect": {
"followRedirects": true
}
}
}
},
"typeVersion": 3,
"continueOnFail": true
},
{
"id": "3290629e-655a-4091-aee4-41482f441a52",
"name": "HTML抽出",
"type": "n8n-nodes-base.htmlExtract",
"position": [
560,
300
],
"parameters": {
"options": {
"trimValues": false
},
"extractionValues": {
"values": [
{
"key": "body",
"cssSelector": "html"
}
]
}
},
"typeVersion": 1,
"continueOnFail": true
},
{
"id": "94146021-3b01-43d0-b6d7-9fcfca0d065a",
"name": "マージ",
"type": "n8n-nodes-base.merge",
"position": [
1580,
140
],
"parameters": {
"mode": "combine",
"options": {},
"combinationMode": "mergeByPosition"
},
"typeVersion": 2
},
{
"id": "08e5118b-37df-47a7-a50d-dbd2854d3dee",
"name": "コンテンツクリーニング",
"type": "n8n-nodes-base.code",
"position": [
720,
300
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "if ($input.item.json.body){\n\n\n\n$input.item.json.content = $input.item.json.body.replaceAll('/^\\s+|\\s+$/g', '').replace('/(\\r\\n|\\n|\\r)/gm', \"\").replace(/\\s+/g, ' ')\n\n\n $input.item.json.contentShort = $input.item.json.content.slice(0, 10000)\n}\n\n\n\n\nreturn $input.item"
},
"executeOnce": false,
"typeVersion": 1,
"continueOnFail": true,
"alwaysOutputData": true
},
{
"id": "6eed41aa-176b-4a7c-8288-8c6dd47361df",
"name": "バッチ分割",
"type": "n8n-nodes-base.splitInBatches",
"position": [
120,
220
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "1ca73312-3b32-4fd7-85e9-05850383d0b4",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-200
],
"parameters": {
"width": 300,
"height": 640,
"content": "## 1. Specify the Google Sheet file\n\n#### It should contain the company names and their URLs (in the URL column). Also the Topical Summary and the Graph Summary columns that we will copy the data to.\n\n🤌 [SEE GOOGLE SHEETS TEMPLATE HERE](https://docs.google.com/spreadsheets/d/14qR7Gi8SRCd3eM6_V3ftRcDODkEFAILEqogjUvk7hKs/edit?usp=sharing) - use the same column names and replace with your data. Can be a list of companies generated with the workflow below, or Manus AI or any other Deep Research mode or a list of URLs you'd like to analyze for SEO.\n\n\n🚨 Make sure you specify the file here"
},
"typeVersion": 1
},
{
"id": "8c657ce2-a363-4a77-9417-a758a8f3d3a0",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
-160
],
"parameters": {
"width": 220,
"height": 600,
"content": "## 2. Avoid rate limit error\n\n#### Split requests into batches of 10 \n\nso you don't make too many requests at once. \n\n\n"
},
"typeVersion": 1
},
{
"id": "ebd2ae92-1757-4dc4-b21b-09ad906398ca",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-80
],
"parameters": {
"width": 520,
"height": 520,
"content": "## 3. Make an HTTP request and extract text content from the links provided\n\n#### Clean up the content to extract only text, not HTML\n\nwe will then use this content to analyze data"
},
"typeVersion": 1
},
{
"id": "6ef3a264-586f-406a-ad44-cdbe2aa28654",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
-240
],
"parameters": {
"width": 440,
"height": 680,
"content": "## 4. Use InfraNodus GraphRAG Content Enhancer Tool \n\n#### It will use its AI to generate topical summaries and structural insights from every company's website. \n\nIt will generate a \n\n1) Topical Summary — AI generated summaries of the main topical clusters found in the document (if `graph summary` requestMode is used or a single summary if `summary` requestMode is used.\n\n2) Graph Summary — the information about the content gaps, the main topical clusters, keywords, and keyword combinations for the websites you provided.\n\n"
},
"typeVersion": 1
},
{
"id": "727b3598-b759-4c4c-bbaa-50704d159b96",
"name": "InfraNodus GraphRAG コンテンツエンハンサー",
"type": "n8n-nodes-base.httpRequest",
"position": [
1080,
260
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&optimize=develop&includeGraph=false&includeGraphSummary=true",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "name",
"value": "n8n_dummy_graph"
},
{
"name": "aiTopics",
"value": "true"
},
{
"name": "text",
"value": "={{ $json.contentShort }}"
},
{
"name": "requestMode",
"value": "summary"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6lSuuSDajZrvI2GM",
"name": "InfraNodus API Key"
}
},
"typeVersion": 4.2
},
{
"id": "77584973-d4fd-4a5b-9344-baebdfb4e584",
"name": "Google ドキュメント",
"type": "n8n-nodes-base.googleDocs",
"position": [
3780,
600
],
"parameters": {
"actionsUi": {
"actionFields": [
{
"text": "={{ $('InfraNodus AI Advice').item.json.aiAdvice[0].text }}\n\n{{ $('InfraNodus Question Generator').item.json.aiAdvice.slice(0, 3).map(advice => advice.text).join('\\n\\n') }}",
"action": "insert"
}
]
},
"operation": "update",
"documentURL": "https://docs.google.com/document/d/1q_pjPlg7flnP5TooBEC_4r-SkyY6F5tgrC-kE7lbFls/edit?tab=t.0"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "EHbGAxRKLI2ejgPv",
"name": "Google Docs account 2"
}
},
"typeVersion": 2
},
{
"id": "fd082093-c2b1-483e-b418-31bebd15d2c6",
"name": "集約",
"type": "n8n-nodes-base.aggregate",
"position": [
3100,
600
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "Topical Summary"
},
{
"fieldToAggregate": "Graph Summary"
}
]
}
},
"typeVersion": 1
},
{
"id": "4c82a7bf-aa76-4d43-83dc-de54679b5f10",
"name": "Google スプレッドシート読み込み",
"type": "n8n-nodes-base.googleSheets",
"position": [
-200,
240
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1122486654,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit#gid=1122486654",
"cachedResultName": "Empty"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit?usp=drivesdk",
"cachedResultName": "Visual Text Analysis Tools"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "DHJcCtarL7rWLBsF",
"name": "Google Sheets account 2"
}
},
"typeVersion": 3
},
{
"id": "5c8a772c-573d-4115-ab61-54a492f69907",
"name": "Google スプレッドシート更新（コンテンツ分析結果）",
"type": "n8n-nodes-base.googleSheets",
"position": [
2000,
240
],
"parameters": {
"options": {},
"fieldsUi": {
"values": [
{
"column": "Graph Summary",
"fieldValue": "={{ $json.graphSummary }}"
},
{
"column": "Topical Summary",
"fieldValue": "={{ $json.aiAdvice[0].text }}"
}
]
},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1122486654,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit#gid=1122486654",
"cachedResultName": "Empty"
},
"documentId": {
"__rl": true,
"mode": "url",
"value": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit?gid=1287901638#gid=1287901638"
},
"valueToMatchOn": "={{ $json.URL }}",
"columnToMatchOn": "URL"
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "DHJcCtarL7rWLBsF",
"name": "Google Sheets account 2"
}
},
"typeVersion": 3
},
{
"id": "47de0abb-b1ff-4620-a80f-ac3c3a2369a6",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1500,
-140
],
"parameters": {
"width": 260,
"height": 460,
"content": "## 5. Add the enhanced content to original row\n\n#### We use this node to match the result to the table row (company and URL) we used to generate this result.\n"
},
"typeVersion": 1
},
{
"id": "0a665031-77de-4649-a274-b19092d5f0cf",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1920,
-100
],
"parameters": {
"width": 260,
"height": 520,
"content": "## 6. Enrich the original Google sheets with the content\n\n#### We save the keywords, topical clusters, topical summaries, and content gaps to the Google sheets, so you can reuse it later in other workflows. \n\n🚨 Make sure to specify the Google sheets file here"
},
"typeVersion": 1
},
{
"id": "6955a297-326e-4c30-bfd7-a3abdb2eb712",
"name": "API 過負荷防止待機",
"type": "n8n-nodes-base.wait",
"position": [
2280,
500
],
"webhookId": "e48bd7c5-7bc3-4f1d-8134-e25c7619ba83",
"parameters": {
"unit": "seconds"
},
"typeVersion": 1
},
{
"id": "f1a16bb2-231f-46ae-87d8-91852223092a",
"name": "条件分岐: 全データ処理完了確認",
"type": "n8n-nodes-base.if",
"position": [
2500,
500
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6b987d9e-7977-4c1e-a22c-42f1bd47e780",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
},
"leftValue": "={{ $node[\"Split In Batches\"].context[\"noItemsLeft\"] }}",
"rightValue": "value2"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d6aa6d5d-0cb8-4149-ad78-44b51312ad1a",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2240,
300
],
"parameters": {
"width": 420,
"height": 400,
"content": "## 7. Batch complete? Go to the next one.\n\n#### We process content in batches of 10 to avoid API overload and rate limit errors."
},
"typeVersion": 1
},
{
"id": "e1814824-cb3d-46d3-8747-57bce510493f",
"name": "Google スプレッドシートからコンテンツ取得",
"type": "n8n-nodes-base.googleSheets",
"position": [
2800,
600
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1122486654,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit#gid=1122486654",
"cachedResultName": "Empty"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit?usp=drivesdk",
"cachedResultName": "Visual Text Analysis Tools"
},
"combineFilters": "OR"
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "DHJcCtarL7rWLBsF",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "15dbb650-6c59-49fa-a2fd-8cf4a691b667",
"name": "InfraNodus AIアドバイス",
"type": "n8n-nodes-base.httpRequest",
"position": [
3320,
480
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&optimize=develop&includeGraph=false&includeGraphSummary=true",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "aiTopics",
"value": "true"
},
{
"name": "prompt",
"value": "=Tell me what are the main topics and gaps in the discourse provided"
},
{
"name": "requestMode",
"value": "response"
},
{
"name": "text",
"value": "={{ $json['Topical Summary'].join(' ') }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6lSuuSDajZrvI2GM",
"name": "InfraNodus API Key"
}
},
"typeVersion": 4.2
},
{
"id": "c7512eb4-d37f-4613-9b35-94739190515f",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
2740,
240
],
"parameters": {
"height": 580,
"content": "## 8. Enrich the original Google sheets with your insights\n\n#### We can then use this data for further research and SEO\n\n🚨 Make sure to specify the Google sheets file here"
},
"typeVersion": 1
},
{
"id": "987fd873-00ed-48c8-bbb5-ef309fbd2f21",
"name": "付箋8",
"type": "n8n-nodes-base.stickyNote",
"position": [
3040,
240
],
"parameters": {
"width": 500,
"height": 580,
"content": "## 9. Get all the insights obtained from all the documents and create the final report.\n\n#### Synthesize the final report based on the main topics, summaries, and content gaps discovered in the previous steps\n\nOptional: You can also feed this output to another workflow to create a full report or SEO-friendly article. "
},
"typeVersion": 1
},
{
"id": "7c83852a-8a77-471e-b105-6ef31e1e210e",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
760
],
"parameters": {
"width": 300,
"height": 300,
"content": "## 0. Specify the starting point\n\n#### You may choose to connect this node directly to the Step 8 if you already enriched the data in the Excel sheet.\n\nIn that case, the workflow will take data from the Topical Summary column and generate the results for you\n\n"
},
"typeVersion": 1
},
{
"id": "f0b063d7-65e3-4bea-8065-af0b6fdb7e8f",
"name": "付箋10",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-400
],
"parameters": {
"color": 7,
"width": 2940,
"height": 100,
"content": "# Stage 1: Data Enrichment"
},
"typeVersion": 1
},
{
"id": "5e697fdf-85b2-4761-a4e1-d555179afed8",
"name": "付箋11",
"type": "n8n-nodes-base.stickyNote",
"position": [
2720,
-400
],
"parameters": {
"color": 7,
"width": 1220,
"height": 100,
"content": "# Stage 2: Insight Generation"
},
"typeVersion": 1
},
{
"id": "75beedd8-bbb4-465e-98be-932af51e5199",
"name": "付箋12",
"type": "n8n-nodes-base.stickyNote",
"position": [
3720,
240
],
"parameters": {
"height": 580,
"content": "## 10. Save the insights into a Google Doc\n\n#### We can then use this data for further research and SEO\n\n🚨 Make sure to specify the Google docs file here"
},
"typeVersion": 1
},
{
"id": "3fdfae7a-456e-45fb-b1ed-c263838a5e20",
"name": "マージ1",
"type": "n8n-nodes-base.merge",
"position": [
3580,
600
],
"parameters": {
"mode": "combine",
"options": {},
"joinMode": "keepEverything",
"fieldsToMatchString": "aiAdvice"
},
"typeVersion": 3.1
},
{
"id": "f1ef6074-08e1-4afe-8175-9f6d9d0317a7",
"name": "InfraNodus 質問生成",
"type": "n8n-nodes-base.httpRequest",
"position": [
3320,
700
],
"parameters": {
"url": "https://infranodus.com/api/v1/graphAndAdvice?doNotSave=true&optimize=gap&includeGraph=false&includeGraphSummary=true",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "aiTopics",
"value": "true"
},
{
"name": "prompt",
"value": "=Tell me what are the main topics and gaps in the discourse provided"
},
{
"name": "requestMode",
"value": "question"
},
{
"name": "text",
"value": "={{ $json['Topical Summary'].join(' ') }}"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "6lSuuSDajZrvI2GM",
"name": "InfraNodus API Key"
}
},
"typeVersion": 4.2
},
{
"id": "0b415fbb-5a2b-4b9a-a4ff-53d2cd3a9a33",
"name": "Perplexity リサーチ",
"type": "n8n-nodes-base.httpRequest",
"position": [
620,
1060
],
"parameters": {
"url": "https://api.perplexity.ai/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"sonar-pro\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Act as a professional researcher whose task is to create the most comprehensive list of links that relate to the niche provided.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Find all the link that relate to the following field: '{{ $json['Niche'] }}'\\n\\nAdditional instructions: '{{ $json['Model Instructions'] }}'\\n IMPORTANT: \\nMake a json list of at least 20 of them. One column is the name, the other is the URL, the third one is the category they operate in. Be as comprehensive in your search as you can. IMPORTANT: answer exclusively in JSON, do NOT add any additional comments.EXAMPLE OF YOUR RESPONSE\\n\\n[{\\\"Name\\\":\\\"A\\\",\\\"URL\\\":\\\"https://website.com\\\"}]\"\n }\n ]\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "9fXf9Np7XsCWgxhg",
"name": "Perplexity"
}
},
"typeVersion": 4.2
},
{
"id": "a73d5f72-c5f1-46c8-ae7a-08c9ec7f0755",
"name": "フォーム送信時",
"type": "n8n-nodes-base.formTrigger",
"disabled": true,
"position": [
280,
1060
],
"webhookId": "fcf3ba43-d94f-4aad-a8a0-62492274b372",
"parameters": {
"options": {},
"formTitle": "Generate a List of Companies for a Market Niche",
"formFields": {
"values": [
{
"fieldLabel": "Niche",
"placeholder": "e.g. customer feedback analysis tools",
"requiredField": true
},
{
"fieldLabel": "Additional Search Instructions",
"placeholder": "e.g. make sure to include only big companies"
}
]
},
"formDescription": "Describe the market for which you want to get a list of companies"
},
"typeVersion": 2.2
},
{
"id": "19becdd1-a2f6-4be7-89c7-780a8e80a11b",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
920,
1060
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"content": "=Take this content and generate a JSON from it: {{ $json.choices[0].message.content }}. Make sure your JSON is just a list of companies like an array. Don't give it an additional name. Your response should be in the `response` object."
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "07wFa8Wa4mMRCHAj",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.8
},
{
"id": "5a14b12b-9645-4a16-a377-e707562af837",
"name": "Google スプレッドシート",
"type": "n8n-nodes-base.googleSheets",
"position": [
1760,
1060
],
"parameters": {
"columns": {
"value": {},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "URL",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Category",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Category",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "autoMapInputData",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1122486654,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit#gid=1122486654",
"cachedResultName": "Empty"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1l4RBfavkqZLz8JdwrgNsSwD8xERlDm6BrA2gXFPm0Dg/edit?usp=drivesdk",
"cachedResultName": "Visual Text Analysis Tools"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "DHJcCtarL7rWLBsF",
"name": "Google Sheets account 2"
}
},
"typeVersion": 4.6
},
{
"id": "068b21f2-b4e8-4ccb-9756-b0e5ee3a6833",
"name": "分割出力",
"type": "n8n-nodes-base.splitOut",
"position": [
1260,
1060
],
"parameters": {
"options": {},
"fieldToSplitOut": "message.content.response"
},
"typeVersion": 1
},
{
"id": "02e38788-8624-4e8f-bb9a-3e0cbed63b49",
"name": "アイテムループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1460,
1060
],
"parameters": {
"options": {
"reset": false
}
},
"typeVersion": 3
},
{
"id": "c2a4b61b-74c4-443c-a15e-252f896c372e",
"name": "付箋13",
"type": "n8n-nodes-base.stickyNote",
"position": [
220,
840
],
"parameters": {
"color": 6,
"width": 1740,
"height": 480,
"content": "## Generate a List of URLs to Analyze \n\n#### Use this workflow to seed the Excel file with the list of URLs you'd like to analyze using the workflow above \n\nTrigger execution by clicking \"Test Workflow\" next to the form"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2e3a437d-bf75-4612-9ca4-b53e6c2efd31",
"connections": {
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"main": [
[
{
"node": "5c8a772c-573d-4115-ab61-54a492f69907",
"type": "main",
"index": 0
}
]
]
},
"3fdfae7a-456e-45fb-b1ed-c263838a5e20": {
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[
{
"node": "77584973-d4fd-4a5b-9344-baebdfb4e584",
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"index": 0
}
]
]
},
"19becdd1-a2f6-4be7-89c7-780a8e80a11b": {
"main": [
[
{
"node": "068b21f2-b4e8-4ccb-9756-b0e5ee3a6833",
"type": "main",
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}
]
]
},
"fd082093-c2b1-483e-b418-31bebd15d2c6": {
"main": [
[
{
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},
{
"node": "f1ef6074-08e1-4afe-8175-9f6d9d0317a7",
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}
]
]
},
"068b21f2-b4e8-4ccb-9756-b0e5ee3a6833": {
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"type": "main",
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]
},
"3290629e-655a-4091-aee4-41482f441a52": {
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}
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]
},
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[
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},
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},
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[
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[],
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{
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}
]
]
},
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[
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},
{
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"type": "main",
"index": 0
}
]
]
},
"a73d5f72-c5f1-46c8-ae7a-08c9ec7f0755": {
"main": [
[
{
"node": "0b415fbb-5a2b-4b9a-a4ff-53d2cd3a9a33",
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"index": 0
}
]
]
},
"0b415fbb-5a2b-4b9a-a4ff-53d2cd3a9a33": {
"main": [
[
{
"node": "19becdd1-a2f6-4be7-89c7-780a8e80a11b",
"type": "main",
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}
]
]
},
"15dbb650-6c59-49fa-a2fd-8cf4a691b667": {
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[
{
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"type": "main",
"index": 0
}
]
]
},
"4c82a7bf-aa76-4d43-83dc-de54679b5f10": {
"main": [
[
{
"node": "6eed41aa-176b-4a7c-8288-8c6dd47361df",
"type": "main",
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}
]
]
},
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"main": [
[
{
"node": "f1a16bb2-231f-46ae-87d8-91852223092a",
"type": "main",
"index": 0
}
]
]
},
"f1ef6074-08e1-4afe-8175-9f6d9d0317a7": {
"main": [
[
{
"node": "3fdfae7a-456e-45fb-b1ed-c263838a5e20",
"type": "main",
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}
]
]
},
"17af96f8-2f12-48b3-864f-bd28aa765ba6": {
"main": [
[
{
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"type": "main",
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}
]
]
},
"e1814824-cb3d-46d3-8747-57bce510493f": {
"main": [
[
{
"node": "fd082093-c2b1-483e-b418-31bebd15d2c6",
"type": "main",
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}
]
]
},
"727b3598-b759-4c4c-bbaa-50704d159b96": {
"main": [
[
{
"node": "94146021-3b01-43d0-b6d7-9fcfca0d065a",
"type": "main",
"index": 1
}
]
]
},
"f1a16bb2-231f-46ae-87d8-91852223092a": {
"main": [
[
{
"node": "6eed41aa-176b-4a7c-8288-8c6dd47361df",
"type": "main",
"index": 0
}
],
[
{
"node": "e1814824-cb3d-46d3-8747-57bce510493f",
"type": "main",
"index": 0
}
]
]
},
"5c8a772c-573d-4115-ab61-54a492f69907": {
"main": [
[
{
"node": "6955a297-326e-4c30-bfd7-a3abdb2eb712",
"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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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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