LinkedInリードのパーソナライゼーション(Google Drive、ApifyとAI)
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、25個のノードを含みます。主にIf, Set, Code, DateTime, Telegramなどのノードを使用。 LinkedInリードパーソナライゼーション(Google Drive、ApifyとAI)
前提条件
- •Telegram Bot Token
- •Google Drive 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
- •Anthropic API Key
使用ノード (25)
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": "0862f70dc42e115052f6a2d4c2b6537665b4361a614cec7cd17d1c45c8868621",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "7452bd6f-2ff8-45bf-a617-6471f97b94ab",
"name": "Anthropic Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1360,
1008
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {
"temperature": 0.7
}
},
"credentials": {
"anthropicApi": {
"id": "LS0BBfEu5Na7rs9Z",
"name": "Anthropic_mariela"
}
},
"typeVersion": 1.3
},
{
"id": "827ba763-e599-4f7b-aed0-6e55961dd76f",
"name": "付箋10",
"type": "n8n-nodes-base.stickyNote",
"position": [
1328,
784
],
"parameters": {
"color": 3,
"width": 420,
"height": 340,
"content": "## Personalization based on LinkedIn Profile \n\n"
},
"typeVersion": 1
},
{
"id": "4688d3a9-8f3d-4433-9a81-6aa74ee4468f",
"name": "ループ終了",
"type": "n8n-nodes-base.code",
"position": [
48,
128
],
"parameters": {
"jsCode": "// Get items from previous nodes\nconst items = $input.all();\n\n// Create a message for Telegram\nlet message = \"📊 *Lead Enrichment Results:*\\n\\n\";\n\n// Add Google Sheet information using the provided syntax\nconst sheetName = $('Google Drive Trigger1').first().json.name;\nconst sheetUrl = $('Google Drive Trigger1').first().json.webViewLink;\n\n// Add sheet name and URL to message\nmessage += `*Sheet Name:* ${sheetName}\\n`;\nmessage += `*URL:* ${sheetUrl}\\n\\n`;\n\n// Process all items\nitems.forEach((item, index) => {\n \n // Check if item has json data\n if (item.json) {\n // Add score and status if available\n if (item.json.score) message += `*Score:* ${item.json.score}\\n`;\n if (item.json.status) message += `*Status:* ${item.json.status}\\n`;\n }\n \n message += \"\\n\";\n});\n\n// Log for debugging\nconsole.log(\"Message prepared:\", message);\n\n// Return the message to be sent to Telegram\nreturn [{ json: { message } }];"
},
"typeVersion": 2
},
{
"id": "cb164d0f-899c-4279-9ba8-d41af5fca8bb",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
1888,
368
],
"parameters": {
"color": 5,
"width": 420,
"height": 360,
"content": "## Update Google Sheet\n\n"
},
"typeVersion": 1
},
{
"id": "f1a71d1e-cccc-4420-8394-6f8799c463db",
"name": "リードエンリッチメント準備完了",
"type": "n8n-nodes-base.telegram",
"position": [
272,
128
],
"webhookId": "926455ab-cd7e-4cde-99f0-b1e160ac3be6",
"parameters": {
"text": "={{ $json.message }}",
"chatId": "[put your Telegram Bot Chat ID here]",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "xgqzwFjcXCMustjr",
"name": "Telegram_MarinextAI"
}
},
"typeVersion": 1.2
},
{
"id": "d5cc7599-1aa1-491e-ae20-086c15c752e2",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 7,
"width": 420,
"height": 360,
"content": "## Send Message to Telegram Bot\n\n"
},
"typeVersion": 1
},
{
"id": "926d15a6-d8e6-451b-a234-ac709b1e0423",
"name": "パーソナライゼーション",
"type": "n8n-nodes-base.set",
"position": [
1968,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a9fff8dc-60fe-4f51-84c1-9b942deeb3a7",
"name": "personalization",
"type": "string",
"value": "={{ $json.output }}"
},
{
"id": "bc443ef4-6be5-4f90-93bc-c4c8ee3502db",
"name": "sheetId",
"type": "string",
"value": "={{ $('Google Drive Trigger1').first().json.id }}"
},
{
"id": "557dc3cb-f021-4d93-94b4-bc3f47760ce8",
"name": "FileName",
"type": "string",
"value": "={{ $('Google Drive Trigger1').first().json.name }}"
},
{
"id": "ce35648a-c08b-4f22-b825-adb077faa8fe",
"name": "SheetName",
"type": "string",
"value": "="
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f605f00d-d973-4919-859d-7475fb81662f",
"name": "LinkedInデータ収集",
"type": "n8n-nodes-base.httpRequest",
"position": [
1104,
864
],
"parameters": {
"url": "https://api.apify.com/v2/acts/dev_fusion~linkedin-profile-scraper/run-sync-get-dataset-items?token=[put your token here]",
"method": "POST",
"options": {},
"jsonBody": "={\n \"profileUrls\": [\"{{ $('Loop Over Items1').item.json.linkedinUrl }}\"]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer [put your token here]"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1b80dfc6-a55c-4ca9-a19d-7c97ba84f051",
"name": "AI Agent1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1328,
368
],
"parameters": {
"text": "=I need to create a personalized outreach message for a prospect. Please use this recent LinkedIn post from their profile and generate a single personalized sentence I can use in my outreach email.\n\nLinkedIn Post:\n{{ $('Scrape LinkedIn Profile Post').item.json.text }}\n\nContext: I own an AI automation agency focused on building Lead Generation Outreach and Lead Enrichment Systems. I'm reaching out to this person because their work appears relevant to our services.\n\nGenerate a single personalized sentence that references their LinkedIn activity in a natural, non-intrusive way that I can include in my outreach email. ",
"options": {
"systemMessage": "You are a LinkedIn Post Analyzer specialized in creating personalized outreach sentences. Your purpose is to examine the most recent LinkedIn posts from a prospect's profile and generate a single, authentic engagement sentence that can be used in cold email outreach.\n\nTASK:\n1. Use the most recent LinkedIn post provided in the user prompt.\n2. From the selected post, craft ONE personalized sentence (25-30 words maximum) that:\n - References specific content from the post without appearing stalkerish\n - Creates a genuine connection based on the post's content\n - Uses conversational language that sounds natural in an email\n - Avoids generic compliments or obvious flattery\n - Maintains a professional tone while being personable\n\nIMPORTANT: Your output must ONLY contain the single personalized sentence with no labels or prefixes. Do not include \"Personalized Sentence:\" or any other text before your response. Do not include greetings, introductions, or closings. Focus solely on creating a natural reference to their LinkedIn post that demonstrates genuine interest in their professional perspective.\n\nThe output will be inserted directly into a CRM system with no human review, so it must be ready to use without any additional formatting or labels."
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "2b9bb8f4-0ec5-4712-a181-2eab3c3f50e0",
"name": "Anthropic Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1328,
528
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"id": "LS0BBfEu5Na7rs9Z",
"name": "Anthropic_mariela"
}
},
"typeVersion": 1.3
},
{
"id": "5a811cc3-b9f4-47a4-b2ad-a94aa0ffd50a",
"name": "LinkedInプロフィール投稿をスクレイピング",
"type": "n8n-nodes-base.httpRequest",
"position": [
128,
528
],
"parameters": {
"url": "https://api.apify.com/v2/acts/apimaestro~linkedin-profile-posts/run-sync-get-dataset-items?token=[put your token here]",
"method": "POST",
"options": {},
"jsonBody": "={\n \"limit\": 1,\n \"username\": \"{{ $json.linkedinUrl }}\"\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer [put your token here]"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ccaa40f8-f471-4f6b-9cae-3a6a4383282a",
"name": "アイテムをループ処理1",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-96,
512
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "db8d44e4-a0ce-4db2-b660-62043fc06101",
"name": "Google Drive Trigger1",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-1008,
512
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
"cachedResultUrl": "https://drive.google.com/drive/folders/1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
"cachedResultName": "Clean Leads_Enrichment"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "JMOSxEuHpRTROOex",
"name": "Google_marinextai"
}
},
"typeVersion": 1
},
{
"id": "0fe1577c-db15-4973-968c-e8c9a5cf244b",
"name": "Google Drive_DownLoad1",
"type": "n8n-nodes-base.googleDrive",
"position": [
-800,
512
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "JMOSxEuHpRTROOex",
"name": "Google_marinextai"
}
},
"typeVersion": 3
},
{
"id": "b20613a4-b475-4a1d-b146-723816431def",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
544,
528
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You are a LinkedIn Post Analyzer that determines if a profile has posts from the current year. Your sole purpose is to examine LinkedIn post data and determine if there are any posts from 2025.\nTASK:\nAnalyze the provided LinkedIn profile post data and determine:\n\nIf the profile has ANY posts\nIf any posts are from the current year (2025)\n\nOUTPUT FORMAT:\nYou must respond with EXACTLY ONE of these values:\n\n\"true\" - If there is at least one post from 2025\n\"false\" - If there are no posts from 2025\n\nDo not include any explanations, reasoning, or additional text - ONLY return \"true\" or \"false\" based on your analysis."
},
{
"content": "=Examine the following LinkedIn profile data and determine if there are any posts from the current year - 2025.\nLinkedIn Profile Data:\n\nPost: {{ $('Scrape LinkedIn Profile Post').item.json.text }}\nDate: {{ $('Scrape LinkedIn Profile Post').item.json.posted_at.date }}\nCurrent Date: {{ $json.currentDate }}\n\nIf the data contains at least one post with a timestamp or date indicating it was posted in 2025, respond with only the word \"true\".\nIf the profile has no posts OR all posts are from years prior to 2025, respond with only the word \"false\".\nYour entire response must be ONLY \"true\" or \"false\" with no additional text."
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "OwpPpcltPaXyVklS",
"name": "OpenAi_Mariela.b.d."
}
},
"typeVersion": 1.8
},
{
"id": "45996741-f4a9-4d08-b48b-eeecce5e9614",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
464,
432
],
"parameters": {
"width": 420,
"height": 340,
"content": "## Determines if the Linked Profile has a recent post \n"
},
"typeVersion": 1
},
{
"id": "7d1ce1ea-ef57-45a4-9593-96abc904ff05",
"name": "日付と時刻",
"type": "n8n-nodes-base.dateTime",
"position": [
320,
528
],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "39a45d84-4d23-46fc-9226-37fd236dc807",
"name": "付箋11",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
400
],
"parameters": {
"color": 4,
"width": 420,
"height": 360,
"content": "## Scrape LinkedIn Recent Post"
},
"typeVersion": 1
},
{
"id": "41c6ba1b-0147-4d9e-bb80-5e83ab30af4b",
"name": "LN投稿が過去30日以内の場合",
"type": "n8n-nodes-base.if",
"position": [
992,
528
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "345eb764-6267-4f0c-9147-07f827cf605b",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.message.content.result }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "28798f9a-bd93-49f9-b8f9-54757c807ec6",
"name": "AI Agent_パーソナライゼーション_LN投稿なし",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1408,
864
],
"parameters": {
"text": "=Create ONE personalized, emotional opening sentence for a cold email to {{ $json.firstName }} {{ $json.lastName }} that will compel them to read further. Focus on our Lead Generation Sales System that saves time.\nOutput only the sentence, nothing else. \n",
"options": {
"systemMessage": "=You are a sales development expert crafting personalized cold email opening lines without website data.\n\nYour task is to create ONE compelling opening sentence for a cold email that will grab attention immediately. focus on:\n\n1. Using the name of the lead: {{ $json.firstName }}\n2. Using their headline: {{ $json.headline }}\n3. Using their LInkedIN about section: {{ $json.about }}\n4. Current company: {{ $json.experiences[0].subtitle }}\n5. Addressing a universal pain point related to lead generation that resonates with their likely business challenges\n6. Creating curiosity about our Lead Generation Sales System\n7. Mentioning a specific benefit (saving time, reducing costs, increasing conversion rates)\n8. Making it conversational and emotionally engaging (15-25 words maximum)\n\nOUR PRODUCT: We offer a Lead Generation Sales System that automates prospect qualification, outreach sequences and lead enrichment after booking. Key benefits include:\n- 60% reduction in time spent on manual prospecting\n- 40% lower customer acquisition costs\n- 3x higher quality leads through AI-powered targeting\n- Elimination of repetitive sales tasks\n\nTONE GUIDELINES:\n- Confident but not aggressive\n- Curious rather than presumptive\n- Focused on their potential gains, not their current problems\n- Conversational, as if from one professional to another\n\nEXAMPLES OF EXCELLENT OPENERS:\n- \"What if your sales team at [Company] could focus exclusively on closing while an automated system handles all prospecting, [First Name]?\"\n- \"The companies outperforming their competitors this quarter have one thing in common, [First Name]: they've eliminated manual lead generation entirely.\"\n- \"Imagine cutting your customer acquisition costs by 40% while simultaneously improving lead quality, [First Name] - that's what our system recently did for a company similar to [Company].\"\n- \"While researching innovative companies in the [derived industry] space, [Company]'s approach stood out as perfectly positioned to benefit from automated lead generation.\"\n\nRemember: ONE sentence only. Make it compelling enough that they WANT to read the next line of the email. "
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "21ee9d5d-4cf7-4431-8beb-3958fbc8b039",
"name": "Google Sheet Parse",
"type": "n8n-nodes-base.spreadsheetFile",
"position": [
-608,
512
],
"parameters": {
"options": {
"headerRow": true
}
},
"typeVersion": 1
},
{
"id": "de275fe8-4798-4e48-9de0-f4d75576ea26",
"name": "付箋12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1232,
288
],
"parameters": {
"color": 4,
"width": 420,
"height": 340,
"content": "## Personalization based on recent LN post\n\n"
},
"typeVersion": 1
},
{
"id": "4710c92f-74d3-49e5-abc7-ab7e5acae2d8",
"name": "コード1",
"type": "n8n-nodes-base.code",
"position": [
-384,
512
],
"parameters": {
"jsCode": "// Process all items from Google Sheet Parse\nconst items = $input.all();\n\n// Map the items to a more usable format\nconst processedItems = items.map(item => {\n return {\n json: {\n firstName: item.json['First Name'],\n lastName: item.json['Last Name'],\n company: item.json['Company Name for Emails'],\n linkedinUrl: item.json['Person Linkedin Url'],\n email: item.json['Email'],\n website: item.json['Website'],\n // Add any other fields you need from the sheet\n }\n };\n});\n\nreturn limitedItems;"
},
"typeVersion": 2
},
{
"id": "333b7a08-15fa-406f-8474-b222bffcc165",
"name": "Google Sheets Update with Personalization",
"type": "n8n-nodes-base.googleSheets",
"position": [
2192,
480
],
"parameters": {
"columns": {
"value": {
"email": "={{ $('Code1').item.json.email }}",
"personalization": "={{ $json.personalization }}"
},
"schema": [
{
"id": "First Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "First Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Last Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Last Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Name for Emails",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Company Name for Emails",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Person Linkedin Url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Person Linkedin Url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "username",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "username",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "domain",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "personalization",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "personalization",
"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": [
"email"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "=Sheet1"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.sheetId }}"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "X2AWP2SzWWzqGSUt",
"name": "Google_marinextai"
}
},
"typeVersion": 4.5
},
{
"id": "77f46864-2f96-4d90-a315-e8b7c31bc249",
"name": "付箋13",
"type": "n8n-nodes-base.stickyNote",
"position": [
992,
784
],
"parameters": {
"color": 4,
"width": 300,
"height": 280,
"content": "## Scrape LinkedIn Profile\n"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"4710c92f-74d3-49e5-abc7-ab7e5acae2d8": {
"main": [
[
{
"node": "ccaa40f8-f471-4f6b-9cae-3a6a4383282a",
"type": "main",
"index": 0
}
]
]
},
"b20613a4-b475-4a1d-b146-723816431def": {
"main": [
[
{
"node": "41c6ba1b-0147-4d9e-bb80-5e83ab30af4b",
"type": "main",
"index": 0
}
]
]
},
"1b80dfc6-a55c-4ca9-a19d-7c97ba84f051": {
"main": [
[
{
"node": "926d15a6-d8e6-451b-a234-ac709b1e0423",
"type": "main",
"index": 0
}
]
]
},
"7d1ce1ea-ef57-45a4-9593-96abc904ff05": {
"main": [
[
{
"node": "b20613a4-b475-4a1d-b146-723816431def",
"type": "main",
"index": 0
}
]
]
},
"4688d3a9-8f3d-4433-9a81-6aa74ee4468f": {
"main": [
[
{
"node": "f1a71d1e-cccc-4420-8394-6f8799c463db",
"type": "main",
"index": 0
}
]
]
},
"926d15a6-d8e6-451b-a234-ac709b1e0423": {
"main": [
[
{
"node": "333b7a08-15fa-406f-8474-b222bffcc165",
"type": "main",
"index": 0
}
]
]
},
"ccaa40f8-f471-4f6b-9cae-3a6a4383282a": {
"main": [
[
{
"node": "4688d3a9-8f3d-4433-9a81-6aa74ee4468f",
"type": "main",
"index": 0
}
],
[
{
"node": "5a811cc3-b9f4-47a4-b2ad-a94aa0ffd50a",
"type": "main",
"index": 0
}
]
]
},
"21ee9d5d-4cf7-4431-8beb-3958fbc8b039": {
"main": [
[
{
"node": "4710c92f-74d3-49e5-abc7-ab7e5acae2d8",
"type": "main",
"index": 0
}
]
]
},
"f605f00d-d973-4919-859d-7475fb81662f": {
"main": [
[
{
"node": "28798f9a-bd93-49f9-b8f9-54757c807ec6",
"type": "main",
"index": 0
}
]
]
},
"7452bd6f-2ff8-45bf-a617-6471f97b94ab": {
"ai_languageModel": [
[
{
"node": "28798f9a-bd93-49f9-b8f9-54757c807ec6",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"2b9bb8f4-0ec5-4712-a181-2eab3c3f50e0": {
"ai_languageModel": [
[
{
"node": "1b80dfc6-a55c-4ca9-a19d-7c97ba84f051",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"db8d44e4-a0ce-4db2-b660-62043fc06101": {
"main": [
[
{
"node": "0fe1577c-db15-4973-968c-e8c9a5cf244b",
"type": "main",
"index": 0
}
]
]
},
"0fe1577c-db15-4973-968c-e8c9a5cf244b": {
"main": [
[
{
"node": "21ee9d5d-4cf7-4431-8beb-3958fbc8b039",
"type": "main",
"index": 0
}
]
]
},
"5a811cc3-b9f4-47a4-b2ad-a94aa0ffd50a": {
"main": [
[
{
"node": "7d1ce1ea-ef57-45a4-9593-96abc904ff05",
"type": "main",
"index": 0
}
]
]
},
"28798f9a-bd93-49f9-b8f9-54757c807ec6": {
"main": [
[
{
"node": "926d15a6-d8e6-451b-a234-ac709b1e0423",
"type": "main",
"index": 0
}
]
]
},
"41c6ba1b-0147-4d9e-bb80-5e83ab30af4b": {
"main": [
[
{
"node": "1b80dfc6-a55c-4ca9-a19d-7c97ba84f051",
"type": "main",
"index": 0
}
],
[
{
"node": "f605f00d-d973-4919-859d-7475fb81662f",
"type": "main",
"index": 0
}
]
]
},
"333b7a08-15fa-406f-8474-b222bffcc165": {
"main": [
[
{
"node": "ccaa40f8-f471-4f6b-9cae-3a6a4383282a",
"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 - 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。
関連ワークフロー
ClaudeとGPT-4を使ってウェブサイトからパーソナライズされた門出メールのあいさつを自動生成
ClaudeとGPT-4を使ってウェブスクレイピングからパーソナライズされたアイスのメールの是一行を生成する
If
Set
Code
+
If
Set
Code
27 ノードMariela Slavenova
コンテンツ作成
AI驱动のメール分诊与自動回复系统,統合OpenAIエージェントとGmail
AI驱动のメール分诊与自動回复系统,統合OpenAIエージェントとGmail
If
Set
Gmail
+
If
Set
Gmail
68 ノードAbdullahi Ahmed
コンテンツ作成
💥 NanoBanana、Seedream 4、ChatGPT Image、Veo 3 を使って動画広告を自動化 - VIDEO
AI(NanoBanana、Seedream、GPT-4o、Veo 3)を使って動画広告キャンペーンを自動化し公開
Set
Code
Wait
+
Set
Code
Wait
63 ノードDr. Firas
コンテンツ作成
バッチSEOコンテンツ生成とAI画像付きWebflowドラフト作成(テンプレート)
GPT、Gemini画像、Webflowデラフトで行う大量SEOコンテンツ生成
If
Set
Code
+
If
Set
Code
54 ノードDahiana
コンテンツ作成
再生リスト詳細設定ボットコピー
Suno、GPT-4、Runway、Creatomate を使って AI 生成の YouTube ミュージックプレイリストを作成
If
Set
Code
+
If
Set
Code
203 ノードJoseph
コンテンツ作成
マージ
Suno API、Claude、Telegramボットを使って完全な20曲YouTubeプレイリストを作成
If
Set
Code
+
If
Set
Code
150 ノードJoseph
コンテンツ作成
ワークフロー情報
難易度
上級
ノード数25
カテゴリー2
ノードタイプ15
作成者
Mariela Slavenova
@marielabg🚀 Fractional Head of AI Ops | COO | CTO | I diagnose, fix & ship automations that pay for themselves | The Harden Method™ - Discover→Design→Build→Break→Harden→Launch→Monitor | Founder @ MarinextAI
外部リンク
n8n.ioで表示 →
このワークフローを共有