SEO記事の模倣（公開版）
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、30個のノードを含みます。主にIf, Code, Wait, Slack, Webflowなどのノードを使用。 Claude AI、Webflow、画像生成を使ってSEO記事を生成して公開
前提条件
- •Slack Bot Token または Webhook URL
- •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
- •Anthropic API Key
使用ノード (30)
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": "eEVvcTInAYIB2SLi",
"meta": {
"instanceId": "c23cb86fa0050ec3afbd7900d224878abccb334ae42c0f7ffb061d805dfe19c7",
"templateCredsSetupCompleted": true
},
"name": "Copycat SEO article (public version)",
"tags": [
{
"id": "GehaaVxiDiW9wWox",
"name": "public",
"createdAt": "2025-06-26T11:26:44.002Z",
"updatedAt": "2025-06-26T11:26:44.002Z"
}
],
"nodes": [
{
"id": "6aa68770-e755-479a-ba8c-612149860e3c",
"name": "スケジュールトリガー",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-320,
20
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 2
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f1ff97aa-bcdc-4364-b4ae-ec11cc18003c",
"name": "Google スプレッドシート",
"type": "n8n-nodes-base.googleSheets",
"position": [
-140,
20
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "={{ false }}",
"lookupColumn": "Completed"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 268886635,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/16rMg45cnPeJMoaCQmmhF5dvsbpkwtINUTx57WEkcDDM/edit#gid=268886635",
"cachedResultName": "Blogs (ideas)"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "16rMg45cnPeJMoaCQmmhF5dvsbpkwtINUTx57WEkcDDM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/16rMg45cnPeJMoaCQmmhF5dvsbpkwtINUTx57WEkcDDM/edit?usp=drivesdk",
"cachedResultName": "Example SEO research"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "JCFL0g09CDcl86rj",
"name": "Google Sheets - Marko@shape"
}
},
"typeVersion": 4.5,
"alwaysOutputData": false
},
{
"id": "dd180a33-b9aa-4a14-a38d-a04536abbdb5",
"name": "Slack",
"type": "n8n-nodes-base.slack",
"disabled": true,
"position": [
1560,
260
],
"webhookId": "1aed847c-e1d6-42a6-8944-6cb36558911f",
"parameters": {
"select": "channel",
"message": "={\n \"blocks\": [\n {\n \"type\": \"section\",\n \"text\": {\n \"type\": \"mrkdwn\",\n \"text\": \"*New article waiting to be published on Webflow*:{{ $('Content writer').item.json.output.match(/^# (.*)/)?.[1] || 'Untitled' }}\"\n },\n \"accessory\": {\n \"type\": \"image\",\n \"image_url\": \"{{ $json.output }}\",\n \"alt_text\": \"Article thumbnail\"\n }\n }\n ]\n}",
"options": {},
"channelId": {
"__rl": true,
"mode": "list",
"value": "C090P7V3QUQ",
"cachedResultName": "n8n-trigger"
},
"operation": "sendAndWait",
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": {
"id": "vVfOkx4dLixvPnIU",
"name": "Slack account 2"
}
},
"typeVersion": 2.3
},
{
"id": "f8387b8d-e8d1-4da5-b815-6289e1dcd8a0",
"name": "Google スプレッドシート1",
"type": "n8n-nodes-base.googleSheets",
"position": [
1880,
320
],
"parameters": {
"columns": {
"value": {
"Completed": "=true",
"row_number": "={{ $('Google Sheets').item.json.row_number }}"
},
"schema": [
{
"id": "URL",
"type": "string",
"display": true,
"required": false,
"displayName": "URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Traffic",
"type": "string",
"display": true,
"required": false,
"displayName": "Traffic",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Traffic value",
"type": "string",
"display": true,
"required": false,
"displayName": "Traffic value",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Top keyword",
"type": "string",
"display": true,
"required": false,
"displayName": "Top keyword",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Position",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Position",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Completed",
"type": "string",
"display": true,
"required": false,
"displayName": "Completed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"row_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 268886635,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/130zi0ImQlwMxzYEFXE9yUOmjqZ5u-d2gyUUc5ncKP5c/edit#gid=268886635",
"cachedResultName": "Blogs (ideas)"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "16rMg45cnPeJMoaCQmmhF5dvsbpkwtINUTx57WEkcDDM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/16rMg45cnPeJMoaCQmmhF5dvsbpkwtINUTx57WEkcDDM/edit?usp=drivesdk",
"cachedResultName": "Example SEO research"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "JCFL0g09CDcl86rj",
"name": "Google Sheets - Marko@shape"
}
},
"typeVersion": 4.5
},
{
"id": "3a698234-d89e-4b65-b6d6-5a0f1a789362",
"name": "Webflow",
"type": "n8n-nodes-base.webflow",
"position": [
1880,
140
],
"parameters": {
"live": true,
"siteId": "648717e882e5860a12ab9d1c",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "cover-image",
"fieldValue": "={{ $('get_image_url').item.json.output }}"
},
{
"fieldId": "name",
"fieldValue": "={{ $('Content writer').item.json.output.article.match(/<h2>(.*?)<\\/h2>/)?.[1].trim() || '' }}"
},
{
"fieldId": "article-body-text",
"fieldValue": "={{ $('Content writer').item.json.output.article.replace(/<h1>|<\\/h1>/g, '') }}"
},
{
"fieldId": "read-time",
"fieldValue": "5 min"
},
{
"fieldId": "short-paragraph",
"fieldValue": "={{ $('Content writer').item.json.output.summary }}"
},
{
"fieldId": "first-post-image",
"fieldValue": "={{ $('get_image_url').item.json.output }}"
}
]
},
"operation": "create",
"collectionId": "64b1bae9c2d06f1241365376"
},
"credentials": {
"webflowOAuth2Api": {
"id": "DQGnu4GLGzsLS1wf",
"name": "Webflow account"
}
},
"typeVersion": 2
},
{
"id": "b3d6d99a-5789-47f8-993d-c15d64008e9c",
"name": "待機",
"type": "n8n-nodes-base.wait",
"position": [
1400,
20
],
"webhookId": "506e3c2e-e023-4473-99f7-6ff9649500b8",
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "6aa76909-9f71-4ef6-819f-b40b31afad91",
"name": "get_image_url",
"type": "n8n-nodes-base.httpRequest",
"position": [
1600,
20
],
"parameters": {
"url": "={{ $json.urls.get }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <token>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "617c762e-b3b1-4b5e-a578-cf10fc34fc2f",
"name": "HTTP リクエスト1",
"type": "n8n-nodes-base.httpRequest",
"position": [
1440,
-200
],
"parameters": {
"url": "https://api.replicate.com/v1/models/black-forest-labs/flux-1.1-pro/predictions",
"method": "POST",
"options": {},
"jsonBody": "={\n\"input\": {\n \"prompt\": \"{{$json.output.replace(/[\\\"“”’\\n]/g, '')}}\",\n \"go_fast\": false,\n \"lora_scale\": 1,\n \"megapixels\": \"1\",\n \"num_outputs\": 1,\n \"aspect_ratio\": \"16:9\",\n \"output_format\": \"png\",\n \"guidance_scale\": 3.5,\n \"output_quality\": 100,\n \"prompt_strength\": 0.8,\n \"extra_lora_scale\": 1,\n \"num_inference_steps\": 50\n}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer <token> //move this up"
},
{
"name": "Prefer",
"value": "wait"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1cb84f16-fb56-4424-87ca-ef7b417bc675",
"name": "Content writer",
"type": "@n8n/n8n-nodes-langchain.agent",
"onError": "continueErrorOutput",
"position": [
540,
100
],
"parameters": {
"text": "=You are an expert SEO writer working for www.productai.photo.\n\nRewrite the following article directly and return the full SEO-optimized version **in one complete response**, in **JSON** format with the following structure:\n\n{\n \"article\": \"HTML Markdown-formatted article goes here\",\n \"summary\": \"1–2 sentence summary of the article here\"\n}\n\nReturn only the requested output with no explanations, commentary, or additional text.\n\n## Guidelines:\n- Use the primary keyword:{{ $('Google Sheets').item.json['Top keyword'] }} throughout the article, naturally and repeatedly.\n- Follow this exact structure based on the original HTML:\n 1. Header Navigation (SEO context)\n 2. Hero Section (main headline + paragraph)\n 3. Main Content Sections (H2s, H3s, internal links <a> tags)\n 4. Use Case Explanations\n 5. Step-by-Step Tutorial (numbered list with headings)\n 6. Call-to-Action Section (use link: create.productai.photo)\n 8. Technical SEO elements (image alt text, responsive, semantic)\n\n## Markdown Formatting:\n- Don't use H1 for the article title, start with H2.\n- Use H2 html tag for main sections and H3 html tag for subsections.\n- Short paragraphs, clear headings, internal links where relevant.\n- All CTA buttons or links use <a> tag must point to: **create.productai.photo**\n- Add **bold**, *italic*, and lists <li> where helpful.\n- User rich text elements HTML:\n* Paragraphs\n* Heading tags (H1-H6)\n* Images\n* Image captions\n* Image alt attributes\n* Custom code\n* Block quotes\n* Unordered lists (bulleted)\n* Ordered lists (numbered)\n* Videos (Youtube, Vimeo)\n* Rich media (Google maps, SoundCloud, Imgur, Giphy, Codepen, and more)\n\n## Output Rules:\n- DO NOT say “I will now rewrite...” or \"I'll rewrite the article based on your requirements. \" explain anything, just return the article.\n- DO NOT include planning or step-by-step generation.\n- Just return the **fully rewritten markdown article** in the required JSON structure.\n- Include a brief SEO-friendly summary.\n- Instead of a competition company name like (PixelCut, pixelcut, CreatorKit, Soona, Pebblely), ALWAYS use \"ProductAI\"\n\n## Source Article:\nRewrite the following article: {{ $('Google Sheets').item.json.URL }} \n\n\n## Content Structure:\n{{ $json.output }} \n\n## Take internal links from webflow tool",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"executeOnce": false,
"typeVersion": 1.9,
"alwaysOutputData": false
},
{
"id": "5378c664-f3a0-4994-bc70-2537bbcf3ea0",
"name": "Prompt engineer",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1420,
-340
],
"parameters": {
"text": "=You are an expert at generating detailed prompts for AI image generators (like Midjourney or DALL-E) to create eye-catching, clickable thumbnail images.\n\nYour Task:\nGiven the full text of an article, analyze and identify its main topic and tone. Based on your analysis, create a clear, visually descriptive prompt suitable for generating a thumbnail image that will attract viewers and convey the essence of the article.\n\nGuidelines:\n\nHighlight the article’s key theme, main characters or elements, and any emotions you want the image to evoke.\nSuggest specific visuals, colors, moods, and, if suitable, stylish text overlays.\nKeep the prompt concise but rich in visual detail so the resulting image will be engaging and informative.\nAvoid vague terms—be as specific as possible.\nExample Input:\n(Article about the rise of electric vehicles and their impact on the auto industry.)\n\nExample Output:\n\"Create a bold, modern thumbnail depicting a sleek electric car zooming down a futuristic highway with city skyscrapers in the background. Use vibrant blues and greens to symbolize innovation and eco-friendliness. Add stylized lightning bolts and a glowing 'EV Revolution' text overlay. Convey excitement and progress.\"\n\nArticle:\n{{ $('Content writer').item.json.output.article }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.9
},
{
"id": "987a83b2-fd21-410b-883c-972bed450744",
"name": "自動修正出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
960,
180
],
"parameters": {
"options": {
"prompt": "Instructions:\n--------------\nOutput the format as:\n{\n\"article\": \"long article text\",\n\"summary\": \"summary of article\"\n}\n\n--------------\nCompletion:\n--------------\nAll attibutes are full field is {{completed}}\n\n--------------\n\nAbove, the Completion did not satisfy the constraints given in the Instructions.\nError:\n--------------\n{error}\n--------------\n\nPlease try again. Please only respond with an answer that satisfies the constraints laid out in the Instructions:\n\nWrite the article and give output"
}
},
"typeVersion": 1
},
{
"id": "5ff4a6dc-478b-434c-be19-4a7764fae258",
"name": "構造化出力パーサー1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1000,
360
],
"parameters": {
"jsonSchemaExample": "{\n\"article\": \"long article text\",\n\"summary\": \"summary of article\",\n\"author\": \"Marko Balažic\"\n}"
},
"typeVersion": 1.2
},
{
"id": "7cbe39af-934d-4e08-a6e8-7a0bc0792d18",
"name": "OpenAI Mini model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1160,
360
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "o4-mini",
"cachedResultName": "o4-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "gKM5mJZRrP7c1SlE",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "0a9c2f2a-74a0-4458-9772-1f179f72cc21",
"name": "HTTP リクエスト",
"type": "n8n-nodes-base.httpRequest",
"position": [
80,
20
],
"parameters": {
"url": "={{ $('Google Sheets').item.json.URL }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "d8dd7b38-8f47-4108-8eae-b9d8d244ee2b",
"name": "Send error",
"type": "n8n-nodes-base.slack",
"position": [
1560,
440
],
"webhookId": "b36fbb7c-6995-4a0d-8b23-c6d33b8d1bfb",
"parameters": {
"text": "Looks like Content writer produced nothing",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C090P7V3QUQ",
"cachedResultName": "n8n-trigger"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"credentials": {
"slackOAuth2Api": {
"id": "vVfOkx4dLixvPnIU",
"name": "Slack account 2"
}
},
"executeOnce": true,
"typeVersion": 2.3
},
{
"id": "f3bd1da9-f8d8-455f-8245-10214757a5c5",
"name": "Page structure analiser",
"type": "@n8n/n8n-nodes-langchain.agent",
"onError": "continueRegularOutput",
"position": [
100,
160
],
"parameters": {
"text": "=You are an expert SEO writer. You will get page data return me bulltpoints for what sections are being used in this webpage. for example:\n- content\n- faq\n- testimonials \n\n{{ $json.data }}\n\nFor each section also give me what is the key point for SEO",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"executeOnce": true,
"typeVersion": 1.9,
"alwaysOutputData": false
},
{
"id": "26e8c76a-2757-418b-ba84-2b25c3dedcf8",
"name": "Haiku",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
80,
320
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-3-5-haiku-20241022",
"cachedResultName": "Claude Haiku 3.5"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"id": "RxTN3cBdpA6bBotk",
"name": "Anthropic account"
}
},
"typeVersion": 1.3
},
{
"id": "377815f1-836f-4c60-9a37-11b95ce78dff",
"name": "Thinking Claude",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
520,
360
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {
"thinking": false,
"maxTokensToSample": 4096
}
},
"credentials": {
"anthropicApi": {
"id": "RxTN3cBdpA6bBotk",
"name": "Anthropic account"
}
},
"typeVersion": 1.3
},
{
"id": "a4d948a0-ef50-41aa-b8c1-7f8975892dd9",
"name": "コード",
"type": "n8n-nodes-base.code",
"position": [
220,
20
],
"parameters": {
"jsCode": "const items = $input.all();\nconst updatedItems = items.map((item) => {\n let html = item?.json?.data;\n\n // Trim to body\n let bodyStart = html.indexOf(\"<body>\");\n let bodyEnd = html.indexOf(\"</body>\") + 7;\n html = html.slice(bodyStart, bodyEnd);\n\n // Remove header\n html = html.replace(/<header>[\\s\\S]*?<\\/header>/g, \"\");\n\n // Remove scripts\n html = html.replace(/<script>[\\s\\S]*?<\\/script>/g, \"\");\n\n // Remove iframes\n html = html.replace(/<iframe[\\s\\S]*?<\\/iframe>/g, \"\");\n\n item.json.data = html;\n return item;\n});\n\nreturn updatedItems;\n"
},
"typeVersion": 2
},
{
"id": "10c9cb74-c278-45a6-8135-9634e8123a91",
"name": "Execute Workflow",
"type": "n8n-nodes-base.executeWorkflow",
"position": [
980,
-300
],
"parameters": {
"options": {},
"workflowId": {
"__rl": true,
"mode": "list",
"value": "7FHTcSuCIjHvvBfe",
"cachedResultName": "Shape workflows — SEO Content evaluator"
},
"workflowInputs": {
"value": {
"article": "={{ $json.output.article }}",
"summary": "={{ $json.output.summary }}"
},
"schema": [
{
"id": "article",
"type": "string",
"display": true,
"required": false,
"displayName": "article",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "summary",
"type": "string",
"display": true,
"required": false,
"displayName": "summary",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": true
}
},
"typeVersion": 1.2
},
{
"id": "2ccbbf0a-bfa8-443f-b591-00877a2926c2",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
1340,
-400
],
"parameters": {
"color": 7,
"width": 420,
"height": 560,
"content": "## Content production "
},
"typeVersion": 1
},
{
"id": "8e3e8d1d-df4c-476a-96ff-7dbf796d7f79",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1800,
40
],
"parameters": {
"color": 7,
"width": 500,
"height": 580,
"content": "## Content publishing"
},
"typeVersion": 1
},
{
"id": "9b3a8635-f22e-4fba-8cea-8860d729fcba",
"name": "操作なし, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
2080,
260
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d22a2c78-be4a-441d-b6d7-8512e859b058",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1460,
180
],
"parameters": {
"color": 7,
"width": 300,
"height": 440,
"content": "## Human check"
},
"typeVersion": 1
},
{
"id": "219e004a-4c3e-4429-8fba-8da5e7b0c24d",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
920,
-400
],
"parameters": {
"color": 7,
"width": 400,
"height": 280,
"content": "## SEO quality vatidation "
},
"typeVersion": 1
},
{
"id": "1bb10244-18f0-441c-8a66-e4b94cdf3993",
"name": "Is it good enough?",
"type": "n8n-nodes-base.if",
"position": [
1160,
-300
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
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"leftValue": "={{ $json.output[1].percent_ok }}",
"rightValue": 60
},
{
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"operator": {
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"rightValue": 60
},
{
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"operator": {
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}
},
"typeVersion": 2.2
},
{
"id": "6c95a0e3-4d54-4c5d-aa90-49725e764364",
"name": "Article written?",
"type": "n8n-nodes-base.if",
"position": [
980,
0
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"parameters": {
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"conditions": {
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},
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},
{
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"position": [
40,
-60
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},
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{
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"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
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"parameters": {
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"width": 860,
"height": 560,
"content": "## Content writer"
},
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},
{
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"name": "Get Articles",
"type": "n8n-nodes-base.webflowTool",
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680,
360
],
"parameters": {
"siteId": "648717e882e5860a12ab9d1c",
"operation": "getAll",
"collectionId": "64b1bae9c2d06f1241365376",
"descriptionType": "manual",
"toolDescription": "Get URLs of current related articles on productai.photo so they can be used ad internal links."
},
"credentials": {
"webflowOAuth2Api": {
"id": "DQGnu4GLGzsLS1wf",
"name": "Webflow account"
}
},
"typeVersion": 2
}
],
"active": false,
"pinData": {
"Schedule Trigger": [
{
"json": {
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"Year": "2025",
"Month": "June",
"Minute": "00",
"Second": "20",
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"timestamp": "2025-06-24T15:00:20.009+02:00",
"Day of week": "Tuesday",
"Day of month": "24",
"Readable date": "June 24th 2025, 3:00:20 pm",
"Readable time": "3:00:20 pm"
}
}
]
},
"settings": {
"timezone": "Europe/Ljubljana",
"callerPolicy": "workflowsFromSameOwner",
"executionOrder": "v1"
},
"versionId": "520d23e6-9230-4403-b8e9-980e457f7f9d",
"connections": {
"Code": {
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[
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},
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{
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},
"dd180a33-b9aa-4a14-a38d-a04536abbdb5": {
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"type": "main",
"index": 0
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},
"3a698234-d89e-4b65-b6d6-5a0f1a789362": {
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[
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"node": "No Operation, do nothing",
"type": "main",
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}
]
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},
"d8dd7b38-8f47-4108-8eae-b9d8d244ee2b": {
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},
"HTTP Request": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request1": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
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},
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"Schedule Trigger": {
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{
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"type": "ai_languageModel",
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},
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},
"f3bd1da9-f8d8-455f-8245-10214757a5c5": {
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[
{
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},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
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"type": "ai_outputParser",
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},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"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 - コンテンツ作成, 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30
カテゴリー2
ノードタイプ17
作成者
Marko
@perspectalogBackend engineer with 10+ years of experience designing and optimizing database-driven systems. I help teams build scalable, secure, and high-performance infrastructure using modern backend stacks. Book a call to discuss how I can support your API, data, or automation workflows.
外部リンク
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