私のワークフロー5
上級
これはSales, 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, Set, Code, Filter, 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。 AIメールパーソナライゼーションを使用した自動LinkedInリード生成（未完了）
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": "GYu58JC0HXxXzg6c",
"meta": {
"instanceId": "95a1299fb2b16eb2219cb044f54e72c2d00dcd2c72efe717b3c308d200f29927"
},
"name": "My workflow 5",
"tags": [],
"nodes": [
{
"id": "2840fe16-c0dc-48d9-abb1-538ea1fa8a6a",
"name": "ループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-1640,
700
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "deaacb0e-a772-4f6c-861b-c7bae802ce5e",
"name": "Extract Domain",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-1400,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {
"temperature": 0.2
},
"messages": {
"values": [
{
"role": "system",
"content": "Your task is to extract only the main domain from a URL. Example: for 'http://www.example.com/home', return 'example.com'. For 'https://subdomain.site.co.uk/login', return 'site.co.uk'. Reply only with the domain, without any comment."
},
{
"content": "=Extract the main domain from the following URL: {{ $json.Website }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "86633b2a-2f58-480c-b850-31d1a367bffb",
"name": "Find Employees",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1060,
700
],
"parameters": {
"url": "https://api.ghostgenius.fr/v2/private/sales-navigator",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "current_company",
"value": "={{ $('Loop Over Items').item.json.ID }}"
},
{
"name": "account_id",
"value": "={{ $('Set Variables').item.json['account_id (Ghost Genius API)'] }}"
},
{
"name": "page",
"value": "1"
},
{
"name": "keywords",
"value": "={{ $('Set Variables').item.json['Target Employees'] }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "czut032YCs6adYBp",
"name": "Ghost Genius - Lead Machine LK"
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 2000
},
{
"id": "c781f307-9165-4869-b2ef-87347a5df87a",
"name": "Check profiles Found",
"type": "n8n-nodes-base.if",
"position": [
-880,
700
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "62313990-929a-4859-aab7-0efe2f434dc9",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.total }}",
"rightValue": 3
}
]
}
},
"typeVersion": 2.2
},
{
"id": "dbd1c384-5f47-47d3-a61d-ee2175ca089e",
"name": "Split Profiles",
"type": "n8n-nodes-base.splitOut",
"position": [
-680,
700
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1
},
{
"id": "aff3a2da-6288-446c-8f5d-ca6fb216d176",
"name": "Get Profile Details",
"type": "n8n-nodes-base.httpRequest",
"position": [
-480,
700
],
"parameters": {
"url": "https://api.ghostgenius.fr/v2/profile",
"options": {
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 2000
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.url }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "XdFg4wGkcxwRPUMo",
"name": "Header Auth account 4"
}
},
"typeVersion": 4.2
},
{
"id": "13a8de85-3069-4f64-9479-6b1aa0548af7",
"name": "Keep relevant information",
"type": "n8n-nodes-base.code",
"position": [
-280,
700
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "const simplifiedItem = {\n id: $json?.id || null,\n url: $json?.url || null,\n first_name: $json?.first_name || null,\n last_name: $json?.last_name || null,\n headline: $json?.headline || null,\n position: $json?.experiences?.[0]?.position || null,\n position_description: $json?.experiences?.[0]?.description || null,\n company_website: $('Extract Domain').item.json.message.content.domain || null,\n skills: $json?.skills || []\n};\nreturn simplifiedItem;"
},
"typeVersion": 2
},
{
"id": "f054f4dd-3493-473a-b35b-bbaf0e4795d9",
"name": "Combine Profiles",
"type": "n8n-nodes-base.aggregate",
"position": [
-80,
700
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "6aac2d3c-74ed-4555-bcb8-5b8eb016bac1",
"name": "Select Top 3",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
100,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-3.5-turbo-0125",
"cachedResultName": "GPT-3.5-TURBO-0125"
},
"options": {
"temperature": 0.1
},
"messages": {
"values": [
{
"role": "system",
"content": "=You are an expert in identifying decision-makers from LinkedIn profiles. Your task is to SELECT EXACTLY 3 PROFILES from the list provided below.\nThese profiles should be the most relevant people to contact about {{ $('Set Variables').item.json['Your product'] }}.\n\nIdeal candidates:\n- Have responsibility for decisions related to {{ $('Set Variables').item.json['Interest'] }}\n- Are in roles that would engage with solutions like ours\n- Have authority to make purchasing decisions\n\nThe BEST profiles match these criteria:\n- Directors or Managers in relevant departments\n- Business Development leaders\n- C-suite executives with decision-making power\n\nPrioritize profiles in this order:\n- Direct roles related to {{ $('Set Variables').item.json['Interest'] }}\n- Decision-makers with budget authority\n- Senior executives with relevant responsibilities\n\nCRITICAL INSTRUCTION: YOU MUST RETURN EXACTLY 3 PROFILES. This is the most important requirement.\nIf there aren't 3 perfect matches, still select 3 profiles that are closest to the criteria.\n\nFormat your response as follows:\n- Include ONLY the 3 selected profiles\n- Keep the original JSON format for each profile\n- Do not add any explanations, comments, or additional text\n- Maintain all properties and exact structure of the input JSON objects\n\nExpected output format:\nfirst_profile:\nsecond_profile:\nthird_profile:"
},
{
"content": "=Here are the profiles to analyze: {{ $json.data.toJsonString() }}\n\nReturn the 3 best profiles.\n\nExpected output format JSON:\nfirst_profile:\nsecond_profile:\nthird_profile"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "b54d1798-498b-4570-b0a2-b630aa9f758c",
"name": "分割出力",
"type": "n8n-nodes-base.splitOut",
"position": [
440,
700
],
"parameters": {
"options": {},
"fieldToSplitOut": "message.content"
},
"typeVersion": 1
},
{
"id": "d1f5debc-649e-48d4-a030-fcc7fac3d9cb",
"name": "Generate メールs",
"type": "n8n-nodes-base.code",
"position": [
720,
700
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "// Function to clean names by removing accents and special characters\nconst cleanName = (str) => {\n return str.toLowerCase()\n .normalize(\"NFD\").replace(/[\\u0300-\\u036f]/g, \"\") // Remove accents\n .replace(/[^a-z0-9]/g, ''); // Remove special characters\n};\n\n// Clean the first and last name from the input JSON\nconst firstName = cleanName($json.first_name);\nconst lastName = cleanName($json.last_name);\n\n// Method 1 - Get the domain from the OpenAI3 node\n// This accesses the domain property from the previous node's output\nconst domain = $('Extract Domain').item.json.message.content.domain;\n\n// Generate various potential email formats using the first name, last name and domain\nconst emailFormats = [\n `${firstName}.${lastName}@${domain}`, // format: firstname.lastname@domain\n `${firstName}${lastName}@${domain}`, // format: firstnamelastname@domain\n `${firstName}@${domain}`, // format: firstname@domain\n `${firstName[0]}.${lastName}@${domain}`, // format: f.lastname@domain\n `${firstName[0]}${lastName}@${domain}`, // format: flastname@domain\n];\n\n// Return a new object containing all original properties \n// plus the potential emails and extracted domain\nreturn {\n ...$json, // Keep all properties from the original item\n potential_emails: emailFormats, // Add the generated email formats\n extracted_domain: domain // Add the extracted domain for debugging purposes\n};"
},
"typeVersion": 2
},
{
"id": "1854e2b9-fd00-4f24-b8f4-81dadb6f66f6",
"name": "分割出力 Mails",
"type": "n8n-nodes-base.splitOut",
"position": [
900,
700
],
"parameters": {
"options": {},
"fieldToSplitOut": "potential_emails"
},
"typeVersion": 1
},
{
"id": "19224753-9ddd-4f40-b5ca-b84fa86d8dea",
"name": "Verify Emails",
"type": "n8n-nodes-base.httpRequest",
"position": [
1080,
700
],
"parameters": {
"url": "https://api.millionverifier.com/api/v3/",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "api",
"value": "={{ $('Set Variables').item.json['api_key MillionVerifier (millionverifier.com)'] }}"
},
{
"name": "email",
"value": "={{ $json.potential_emails }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "87e92aa9-a3cb-4624-aee6-5f1c01d3af33",
"name": "Combine Results",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
700
],
"parameters": {
"include": "specifiedFields",
"options": {},
"aggregate": "aggregateAllItemData",
"fieldsToInclude": "email, quality"
},
"typeVersion": 1
},
{
"id": "ea9af1be-ba6a-42dc-8724-2620448b5176",
"name": "フィルター Valid Emails",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1440,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "o3-mini",
"cachedResultName": "O3-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You receive a list of emails and you must return those with quality=good. Be careful not to return emails with quality 'risky'. \n\nIf multiple good emails belong to the same person, return one email per person. If no email is good, return 'No email found'.\n\nYou must return the emails with the corresponding LinkedIn profile for each email.\n\nHere is the expected JSON structure (if at least one email is 'good') for each email:\n\nemail:\nquality:\nurl:\nid:\nfirst_name:\nlast_name:\nheadline:\ncurrent_position:\nposition_description:"
},
{
"content": "=Here is the list of emails: {{ $json.data.toJsonString() }}\n\nHere is the list of LinkedIn profiles: {{ $('Select Top 3 ').item.json.message.content.toJsonString() }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "6178af94-1885-47c9-9c68-f1fab9c01568",
"name": "Check メール Valid",
"type": "n8n-nodes-base.if",
"position": [
1780,
700
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "8620855f-065c-42fb-b5f5-10d254afeede",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.message.content.result }}",
"rightValue": "No email found"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "b74b3fe6-adb7-40f4-8e18-6beda82c2223",
"name": "分割出力",
"type": "n8n-nodes-base.splitOut",
"position": [
1980,
700
],
"parameters": {
"options": {},
"fieldToSplitOut": "message.content.results"
},
"typeVersion": 1
},
{
"id": "2cd367fb-c781-4e5e-97d7-8af921a5addf",
"name": "Get Profile Post",
"type": "n8n-nodes-base.httpRequest",
"position": [
2260,
700
],
"parameters": {
"url": "https://api.ghostgenius.fr/v2/profile/posts",
"options": {
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 2000
}
}
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.url }}"
},
{
"name": "page",
"value": "1"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "XdFg4wGkcxwRPUMo",
"name": "Header Auth account 4"
}
},
"typeVersion": 4.2
},
{
"id": "4af2bef9-ce0e-4d7c-9199-7b6c3d302ca2",
"name": "Create Personalization",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2480,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.5
},
"messages": {
"values": [
{
"role": "system",
"content": "=You are a cold email customization specialist. Your role is to CREATE A SETUP for ANOTHER AI that will later write personalized cold emails to prospects.\n\nPRODUCT: {{ $('Set Variables').item.json['Your product'] }}\nTARGET AUDIENCE: {{ $('Set Variables').item.json['Target Audience'] }}\n\nYOUR TASK:\n1. Analyze the prospect information provided\n2. Identify ONE specific personalization angle that connects the prospect's needs/challenges to our {{ $('Set Variables').item.json['Your product'] }}\n3. Create a structured setup with personalization recommendations (NOT a complete email)\n\nPERSONALIZATION GUIDELINES:\n- Focus on how the {{ $('Set Variables').item.json['Your product'] }} could benefit their operations\n- Identify relevant pain points from their profile that our {{ $('Set Variables').item.json['Your product'] }} could solve\n- Note specific content from their recent activity (only use posts less than 3 months old)\n- Current date: {{ new Date() }}\n- DO NOT suggest using the {{ $('Set Variables').item.json['Your product'] }} for {{ $('Set Variables').item.json['Irrelevant Use Case '] }} (not relevant)\n\nOUTPUT FORMAT:\nReturn your analysis in this structured format:\n---SETUP FOR EMAIL AI---\nPROSPECT: [Name and position]\nCOMPANY: [Company name]\nKEY INSIGHT: [One specific insight about the prospect/company]\nPERSONALIZATION ANGLE: [The specific personalization angle to use]\nVALUE PROPOSITION: [How our product addresses their specific needs]\n\nRemember: You are NOT writing the email. You are creating a setup for ANOTHER AI that will craft the final email."
},
{
"content": "=Prospect information :\n\nFirst name: {{ $('Split Out').item.json.first_name }},\nHeadline: {{ $('Split Out').item.json.headline }},\nCurrent position: {{ $('Split Out').item.json.current_position }},\nPosition description: {{ $('Split Out').item.json.position_description }},\nPost 1 (posted to {{ $json.data[0].published_at }}, is reshare?{{ $json.data[0].is_reshare }} ): {{ $json.data[0].text.content }},\nPost 2 (posted to {{ $json.data[1].published_at }}, is reshare?{{ $json.data[1].is_reshare }}): \n{{ $json.data[1].text.content }},\nPost_3 (posted to {{ $json.data[2].published_at }}, is reshare?{{ $json.data[2].is_reshare }}): {{ $json.data[1].text.content }},\nCompany: {{ $('Loop Over Items').item.json.Name }},\nCompany description: {{ $('Loop Over Items').item.json.Summary }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "4fdd3ee3-8320-43f6-9723-47431ebd96b0",
"name": "Generate メールs Messages",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2860,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.5
},
"messages": {
"values": [
{
"role": "system",
"content": "=You are a specialist in writing cold emails with high response rates.\n\nIMPORTANT: You are creating email templates that will be used by someone else, not communicating directly with prospects.\n\nYour mission is to write 3 emails. \nIt's important that each email is not written to sell but only to attract attention and get a response.\n\nHere are the rules to follow for writing each email:\n- The email must be very short 100 words maximum)\n- It must be written in {{ $('Set Variables').item.json['Email Language'] }}\n- Use simple words\n- Don't speak with professional language, be direct and go straight to the point. The tone is informal and direct. Be upbeat.\n- Talk in the first person as if you were a simple {{ $('Set Variables').item.json['Sender Role (your role)'] }} who created a {{ $('Set Variables').item.json['Your product'] }}\n- Don't compliment the prospect\n\nHere is the structure of the email (in order):\n- You greet the prospect with their first name\n- A personalized sentence using the prospect's information that shows you've done research on them\n- A sentence explaining that you've created a {{ $('Set Variables').item.json['Your product'] }} ({{ $('Set Variables').item.json['Product Benefits'] }}) and briefly why it might be interesting for their company.\n- A CTA in the form of a question oriented positively that must be very easy for the prospect to answer. It should not appear salesy and must provoke their curiosity.\n- No greeting\n\nThe goal of this first email is not to sell the product but just to get their attention to obtain a response."
},
{
"content": "=Here is the information about the prospect and his company:\n\nContact's first name: {{ $('Split Out').item.json.first_name }}\n\nContact's company: {{ $('Loop Over Items').item.json.Name }}\n\nRelevant information for personalization:{{ $json.message.content.toJsonString() }}\n\nReturn only a JSON (no Markdown) with the three emails:\n1. initial_email\n2. first_follow_up (3 days after)\n3. second_follow_up (5 days after the first)\n\nFormat the emails with appropriate line breaks for readability. Do not include subject lines."
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "4dbbf284-d32f-404e-805a-7c4d0b69fd5a",
"name": "Not enough employees",
"type": "n8n-nodes-base.googleSheets",
"position": [
-680,
960
],
"parameters": {
"columns": {
"value": {
"ID": "={{ $('Loop Over Items').item.json.ID }}",
"State": "Not enough employees"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summary",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Score",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "State",
"type": "string",
"display": true,
"required": false,
"displayName": "State",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"ID"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "id",
"value": "=gid=0"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit?usp=drivesdk",
"cachedResultName": "CRM"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Y8D8KsfgZCZmP2Vh",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "c02c6ce7-73a0-4bff-8c13-8baa7f424a00",
"name": "No mail founded",
"type": "n8n-nodes-base.googleSheets",
"position": [
1980,
960
],
"parameters": {
"columns": {
"value": {
"ID": "={{ $('Loop Over Items').item.json.ID }}",
"State": "No mail founded"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summary",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Score",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "State",
"type": "string",
"display": true,
"required": false,
"displayName": "State",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"ID"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10lxvwdeCf7vrAuWsNRGIsSTICEI3z-SUCDVHr8XzAYQ/edit#gid=0",
"cachedResultName": "Companies"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit?usp=drivesdk",
"cachedResultName": "CRM"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Y8D8KsfgZCZmP2Vh",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "809d7e65-76dc-4aa6-bb4c-e0de2df59098",
"name": "Lead(s) found",
"type": "n8n-nodes-base.googleSheets",
"position": [
3800,
700
],
"parameters": {
"columns": {
"value": {
"ID": "={{ $('Loop Over Items').item.json.ID }}",
"State": "Lead(s) found"
},
"schema": [
{
"id": "Name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summary",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Score",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "State",
"type": "string",
"display": true,
"required": false,
"displayName": "State",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"ID"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10lxvwdeCf7vrAuWsNRGIsSTICEI3z-SUCDVHr8XzAYQ/edit#gid=0",
"cachedResultName": "Companies"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit?usp=drivesdk",
"cachedResultName": "CRM"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Y8D8KsfgZCZmP2Vh",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "3c418efe-9e43-4c7a-8997-f658959d2d02",
"name": "Add lead(s)",
"type": "n8n-nodes-base.googleSheets",
"position": [
3600,
700
],
"parameters": {
"columns": {
"value": {
"ID": "={{ $('Split Out').item.json.id }}",
"Email": "={{ $('Split Out').item.json.email }}",
"Mail 1": "={{ $('Generate Emails Messages').item.json.message.content.initial_email }}",
"Mail 2": "={{ $('Generate Emails Messages').item.json.message.content.first_follow_up }}",
"Mail 3": "={{ $('Generate Emails Messages').item.json.message.content.second_follow_up }}",
"Tagline": "={{ $('Split Out').item.json.headline }}",
"Lastname": "={{ $('Split Out').item.json.last_name }}",
"LinkedIn": "={{ $('Split Out').item.json.url }}",
"Firstname": "={{ $('Split Out').item.json.first_name }}",
"Subject 1": "={{ $json.message.content.subject_1 }}",
"Subject 2": "={{ $json.message.content.subject_2 }}",
"Subject 3": "={{ $json.message.content.subject_3 }}",
"Company name": "={{ $('Loop Over Items').item.json.Name }}",
"Current Position": "={{ $('Split Out').item.json.current_position }}"
},
"schema": [
{
"id": "Firstname",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Firstname",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Lastname",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Lastname",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tagline",
"type": "string",
"display": true,
"required": false,
"displayName": "Tagline",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Company name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Current Position",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Current Position",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Mail 1",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Mail 1",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Mail 2",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Mail 2",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Mail 3",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Mail 3",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Subject 1",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Subject 1",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Subject 2",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Subject 2",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Subject 3",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Subject 3",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1352562819,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/10lxvwdeCf7vrAuWsNRGIsSTICEI3z-SUCDVHr8XzAYQ/edit#gid=1352562819",
"cachedResultName": "Leads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit?usp=drivesdk",
"cachedResultName": "CRM"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Y8D8KsfgZCZmP2Vh",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "2fe1ed3a-3a5d-4d2b-9b1d-aa85eae0fdec",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2700,
420
],
"parameters": {
"color": 6,
"width": 920,
"height": 460,
"content": "## Data recovery\nThis section retrieves high-scoring, qualified companies from your Google Sheet CRM that were previously identified as potential prospects. The workflow starts by loading your custom variables which control target roles, email messaging, and personalization strategies throughout the entire automation.\n\nCompanies are filtered based on their score (minimum 7) and qualification status to ensure we only process the most promising prospects. This approach optimizes API usage and focuses your outreach on companies most likely to convert.\n\nThe workflow to enrich the basic CRM that serves as the starting point for this workflow is available [here]."
},
"typeVersion": 1
},
{
"id": "bfce76ea-8555-4ed5-bb94-626e6f795b0b",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1720,
420
],
"parameters": {
"color": 4,
"width": 2320,
"height": 460,
"content": "## Find and select the right employees\nThis section identifies and selects the most relevant decision-makers at each company. \nAfter extracting the company domain from the website URL, we search for employees matching your target roles using the GhostGenius API.\nThe process:\n\n1. Searches for employees at the target company\n2. Verifies there are enough relevant profiles (at least 3)\n3. Gets detailed profile information for each potential contact\n4. Uses AI to select the top 3 most relevant decision-makers based on your product/service criteria\n\nThis intelligent selection saves you time by focusing on individuals with the most authority to make purchasing decisions related to your offering."
},
"typeVersion": 1
},
{
"id": "968f2963-bf80-4c95-86ac-ea94466df840",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-840,
880
],
"parameters": {
"color": 3,
"width": 420,
"height": 260,
"content": "## Exit"
},
"typeVersion": 1
},
{
"id": "7b30a149-a8f9-4653-b744-3d9ed7e8361d",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1820,
880
],
"parameters": {
"color": 3,
"width": 420,
"height": 260,
"content": "## Exit"
},
"typeVersion": 1
},
{
"id": "cd8e73b5-680c-4c7f-a295-0b88f179a1e0",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
660,
420
],
"parameters": {
"color": 5,
"width": 1480,
"height": 460,
"content": "## Email enrichment and verification\nThis section generates and verifies business email addresses for your selected contacts. The workflow:\n\nCreates multiple potential email formats based on the contact's name and company domain\nVerifies each email using MillionVerifier API to check which ones are valid\nFilters to retain only valid emails for each contact\n\nEmail verification is a critical step that dramatically increases your deliverability rates and prevents your outreach from being flagged as spam. This approach ensures you're only contacting prospects through valid, professional channels."
},
"typeVersion": 1
},
{
"id": "1d0653ef-9233-44a8-9640-ec7da44a6f2b",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2200,
420
],
"parameters": {
"color": 2,
"width": 1800,
"height": 460,
"content": "## Email generation and storage\nThis section creates highly personalized cold emails based on prospects' LinkedIn activity and professional context. The sophisticated process:\n\n1. Retrieves recent LinkedIn posts to understand the prospect's current priorities\n2. Uses AI to identify personalization angles connecting your product to their specific needs\n3. Generates a sequence of three personalized emails (initial + two follow-ups)\n4. Creates attention-grabbing subject lines for each email\n5. Stores the complete contact and email information in your CRM\n\nThe personalization goes far beyond \"{FirstName}\" tokens, creating contextually relevant messages that demonstrate you've done your research, substantially increasing response rates."
},
"typeVersion": 1
},
{
"id": "1a21c073-6987-4b36-bddd-89a402f5862d",
"name": "Companies Recovery",
"type": "n8n-nodes-base.googleSheets",
"position": [
-2200,
700
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit#gid=0",
"cachedResultName": "Companies"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1LfhqpyjimLjyQcmWY8mUr6YtNBcifiOVLIhAJGV9jiM/edit?usp=drivesdk",
"cachedResultName": "CRM"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "Y8D8KsfgZCZmP2Vh",
"name": "Google Sheets account"
}
},
"typeVersion": 4.5
},
{
"id": "817efa14-91f4-4669-b1c0-4f3b5368c407",
"name": "フィルター Score and State",
"type": "n8n-nodes-base.filter",
"position": [
-1980,
700
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "146a686b-6a22-4a33-8e04-a4e7d0fc3eb9",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.Score }}",
"rightValue": 7
},
{
"id": "31a8bdd6-1f27-4dec-9fbf-f5895087d54b",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.State }}",
"rightValue": "Qualified"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "e5073f54-480a-42be-88a9-b434a2f3f57d",
"name": "設定 Variables",
"type": "n8n-nodes-base.set",
"position": [
-2420,
700
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "09d2e4ab-3555-4f6d-b176-fd61ac89c131",
"name": "account_id (Ghost Genius API)",
"type": "string",
"value": ""
},
{
"id": "993b61a7-7492-4b85-8bea-17ead8df6c93",
"name": "api_key MillionVerifier (millionverifier.com)",
"type": "string",
"value": ""
},
{
"id": "877ba906-c048-4120-8151-f5f30cad9221",
"name": "Your product",
"type": "string",
"value": "Sports & Entertainment partnership consulting services"
},
{
"id": "632373ca-6783-43cf-983c-50cc0b8690cf",
"name": "Interest",
"type": "string",
"value": "sports marketing partnerships, entertainment rights holders, brand visibility through sports"
},
{
"id": "e37f9bdc-cd30-49df-b161-3d9b3f30dd3a",
"name": "Target Audience",
"type": "string",
"value": "Brands seeking authentic sports partnerships to expand their marketing presence"
},
{
"id": "1d1fc889-339d-458c-b920-63d2910a7c74",
"name": "Target Employees",
"type": "string",
"value": "\"CTO\" OR \"CEO\" OR \"Marketing\""
},
{
"id": "7fbc3992-a0b9-4927-a247-aeebde32a930",
"name": "Irrelevant Use Case ",
"type": "string",
"value": "generic sponsorship packages without strategic alignment"
},
{
"id": "227467cb-0b68-4e0d-99bd-7433345b538d",
"name": "Email Language",
"type": "string",
"value": "English"
},
{
"id": "3076d3c6-1f9e-4595-8ad9-eb514511111e",
"name": "Sender Role (your role)",
"type": "string",
"value": "Manager of Global Partnerships"
},
{
"id": "43377c31-840e-4757-9e48-c16f15ceb9f8",
"name": "Product Benefits",
"type": "string",
"value": "data-driven partnership strategy, unparalleled access to sports rights holders, authentic brand-sport connections"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "956dc6ac-f441-46b5-bfcc-cc6098706d20",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"width": 480,
"height": 340,
"content": "### Costs for 100 companies\n- Find Employees = 100 requests = 1000 credits (private endpoint)\n- Get Profile Details = 1500 requests (high average) = 1500 credits (public endpoint)\n- Get Profile Post = 300 requests (max) = 300 credits (public endpoint)\n\n**Ghost Genius API costs = 2800 crédits for 100 companies**\n\n\n- Verify Emails = 1500 requests = 1500 credits\n\n**MillionVerifier API costs = 1500 crédits for 100 companies (2$)**"
},
"typeVersion": 1
},
{
"id": "6fdfa1c7-39ea-4a75-bfe6-84f474c43de6",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
580,
0
],
"parameters": {
"width": 480,
"height": 340,
"content": "### Good to know\n- Adding the costs of 2 workflows gives us a total cost of 2910 credits.\n- Note that 100 companies in the first workflow doesn't mean we'll need to process all 100 through this workflow.\n\n**Why?** Because we have a first filter that removes companies without a website, too few subscribers, or insufficient employees. We also have a second filter that selects only companies with a score above 75/100.\n\n**Example:** Out of 30 companies searched, 12 are removed by the first filter and 6 by the second. Scaling this up means that out of 100 companies, 40 companies will need to go through this workflow. (estimate)"
},
"typeVersion": 1
},
{
"id": "540fd9d0-db8f-4736-b6f3-babea4199710",
"name": "Generate メールs Subjects",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
3240,
700
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "GPT-4.1"
},
"options": {
"temperature": 0.2
},
"messages": {
"values": [
{
"role": "system",
"content": "=You are a specialist in cold email and particularly in writing email subject lines with high open rates.\n\nIMPORTANT: You are creating subject lines that will be used by someone else, not communicating directly with prospects.\n\nYou're known for your original and unconventional writing style. Your subject lines pique prospects' curiosity and don't appear commercial.\n\nHere is your mission:\nYou will receive an email sequence addressed to a prospect. The sequence consists of one opening email followed by two follow-ups in case of no response. Your mission is to write the subject line for each email.\n\nHere are the rules to follow:\n- The subject line must be very short and personalized to the prospect in relation to the email content.\n- The tone must be informal and absolutely catch the prospect's attention and pique their curiosity.\n- Never use smileys or emojis.\n- It should be clear that it's related to {{ $('Set Variables').item.json['Your product'] }}.\n- Use the prospect's first name.\n- You must write in {{ $('Set Variables').item.json['Email Language'] }}.\n\nYou must return a JSON with this structure:\nsubject_1:\nsubject_2:\nsubject_3:"
},
{
"content": "=Here is the email sequence:\n\nOpening email: {{ $json.message.content.initial_email }}\n\nFollow-up email 1: {{ $json.message.content.first_follow_up }}\n\nFollow-up email 2: {{ $json.message.content.second_follow_up }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "SSQ6BcbSKW6I0uSn",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "0deef7b4-3ea9-436d-b6d0-056ce1fb8294",
"name": "開始",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-2620,
700
],
"parameters": {},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "79699808-e344-4f60-a000-45e7a03ac2b4",
"connections": {
"Start": {
"main": [
[
{
"node": "Set Variables",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Generate Emails",
"type": "main",
"index": 0
}
]
]
},
"3c418efe-9e43-4c7a-8997-f658959d2d02": {
"main": [
[
{
"node": "809d7e65-76dc-4aa6-bb4c-e0de2df59098",
"type": "main",
"index": 0
}
]
]
},
"809d7e65-76dc-4aa6-bb4c-e0de2df59098": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"6aac2d3c-74ed-4555-bcb8-5b8eb016bac1": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Set Variables": {
"main": [
[
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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 - 営業, 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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