GPT-4 Mini、Apify、LinkedInを使用した個別化な冷水Salesの伝言開き文生成
上級
これはLead Generation, Multimodal AI分野の自動化ワークフローで、16個のノードを含みます。主にSet, Filter, Aggregate, HttpRequest, GoogleSheetsなどのノードを使用。 GPT-4 Mini、Apify、LinkedIn を使用してパーソナライズされたコールド メール オープナーを生成する
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
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": "235448548816fb2146ac5c0df5e58a4e0be98ea5380c09b000703674b2c5f3c9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "49891093-0149-475d-ad6a-b80832087c47",
"name": "ワークフロー実行時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-48,
80
],
"parameters": {},
"typeVersion": 1
},
{
"id": "947b70ae-4cab-4c36-b4f4-27d36d78915e",
"name": "アイテムをループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
864,
80
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "5f132e78-5a48-45b2-a777-87983fb5a647",
"name": "Apify LinkedIn API を呼び出す",
"type": "n8n-nodes-base.httpRequest",
"position": [
1408,
96
],
"parameters": {
"url": "=https://api.apify.com/v2/acts/{{ $json.apifyActorID }}/run-sync-get-dataset-items",
"method": "POST",
"options": {
"redirect": {
"redirect": {}
}
},
"jsonBody": "={\n \"profileUrls\": [\n \"{{ $('Loop Over Items').item.json.linkedin_url }}\"\n ]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "=Bearer {{ $json.apifyAPIKey }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "b411411c-96b9-48b8-8d4d-b4884912336c",
"name": "集計",
"type": "n8n-nodes-base.aggregate",
"position": [
1632,
96
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "e8a9b61d-4cf8-4b0e-a10d-ba83d212ae07",
"name": "パーソナライズドアイスブレーカーを生成",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
2192,
96
],
"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 useful intelligent sales assistant.\n\nYou are given a set of information about a lead (LinkedIn profile data, headline, company SEO, etc). These are all people in the dental industry in the US. We are offering them custom AI voice receptionist that answers calls 24/7 and works into their CRM. \n\nYour task is to to take all these info and turn them into catchy, personalized openers/icebreakers for our cold email campaign. Keep the icebreakers short and 3-4 sentences max.\n\nYou'll return your icebreakers in the following JSON format:\n\n{\"icebreaker\":\"Hey {first_name},\\n\\nI spent some time studying {theirCompanyName} and was genuinely impressed by {thing}. I have a business proposal which might help you so thought I'd reach out.\"} \n\n\nRules:\n- Write in a spartan/laconic tone of voice.\n- Always mention their first Name and their shortened company name in the copy\n- Make sure to use the above format when constructing your icebreakers. We wrote it this way on purpose.\n- Shorten the company name wherever possible (say, \"XYZ\" instead of \"XYZ Dental\"). More examples: \"Love AMS\" instead of \"Love AMS Dental Group\", \"Love Tooth Tales\" instead of \"Love Tooth Tales Pediatric Dentistry & Orthodontics\", \"Love Dental Solutions\" instead of \"Love Dental Solutions, LLC\", \"Love Bernstein\" instead of \"Love Bernstein Orthodontics\", \"Love Pinnacle\" instead of \"Love Pinnacle Dental Group\", etc.\n- Do the same with locations. \"San Fran\" instead of \"San Fransisco\", \"LA\" instead of \"Los Angeles\", \"NJ\" instead of \"New Jersey\", etc.\n- For your variables, focus on small, non-obvious things to paraphrase. The idea is to make people think we *really* dove deep into their website/Linkedin profile, so don't use something obvious. Do not say cookie-cutter stuff like \"Love your website!\" or \"Love your years of experience!\".\n\n\n\n"
},
{
"content": "=firstName: {{ $json.firstName }}\n\nlastName: {{ $json.lastName }}\n\ncompanyName: {{ $json.companyName }}\n\nheadline: {{ $json.headline }}\n\ncurrentJobDurationInYrs: {{ $json.currentJobDurationInYrs }}\n\nemail: {{ $json.email }}\n\norganizationShortDescription: {{ $json.organizationShortDescription }}\n\norganizationCity: {{ $json.organizationCity }}\n\norganizationState: {{ $json.organizationState }}\n\nData found from their LinkedIn:\n{{ Object.entries($('Aggregate').item.json.data[0]).map(([key, value]) => {\n if (typeof value === 'object' && value !== null) {\n return `${key}:\\n${JSON.stringify(value, null, 2)}`;\n }\n return `${key}: ${value}`;\n}).join('\\n\\n') }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "21ws2m6bU7yrdhRD",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "50ae1e60-f2cb-491e-8d02-20d8c31e91e6",
"name": "拡張済みアイスブレーカーを追加",
"type": "n8n-nodes-base.googleSheets",
"position": [
1888,
656
],
"parameters": {
"columns": {
"value": {
"id": "={{ $('Loop Over Items').item.json.id }}",
"name": "={{ $('Loop Over Items').item.json.name }}",
"email": "={{ $('Loop Over Items').item.json.email }}",
"company": "={{ $('Loop Over Items').item.json.organization_name }}",
"headline": "={{ $('Simplify Fields for AI Agent').item.json.headline }}",
"linkedIn": "={{ $('Loop Over Items').item.json.linkedin_url }}",
"icebreaker": "={{ $json.message.content.icebreaker }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "name",
"type": "string",
"display": true,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "company",
"type": "string",
"display": true,
"required": false,
"displayName": "company",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email",
"type": "string",
"display": true,
"required": false,
"displayName": "email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "headline",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "headline",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "icebreaker",
"type": "string",
"display": true,
"required": false,
"displayName": "icebreaker",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "linkedIn",
"type": "string",
"display": true,
"required": false,
"displayName": "linkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1772101798,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit#gid=1772101798",
"cachedResultName": "Enriched"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit?usp=drivesdk",
"cachedResultName": "USA_Dental"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "ziNN7PjMJnH4Xalf",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "7263e986-8992-4f26-9df1-4c00a1a0d73a",
"name": "未拡張リストを更新",
"type": "n8n-nodes-base.googleSheets",
"position": [
2320,
656
],
"parameters": {
"columns": {
"value": {
"id": "={{ $('hasEmail?').item.json.id }}",
"status": "enriched"
},
"schema": [
{
"id": "first_name",
"type": "string",
"display": true,
"required": false,
"displayName": "first_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "last_name",
"type": "string",
"display": true,
"required": false,
"displayName": "last_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email",
"type": "string",
"display": true,
"required": false,
"displayName": "email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "personal_email",
"type": "string",
"display": true,
"required": false,
"displayName": "personal_email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_name",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_website_url",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_website_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "linkedin_url",
"type": "string",
"display": true,
"required": false,
"displayName": "linkedin_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "name",
"type": "string",
"display": true,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "industry",
"type": "string",
"display": true,
"required": false,
"displayName": "industry",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "headline",
"type": "string",
"display": true,
"required": false,
"displayName": "headline",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "seniority",
"type": "string",
"display": true,
"required": false,
"displayName": "seniority",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "estimated_num_employees",
"type": "string",
"display": true,
"required": false,
"displayName": "estimated_num_employees",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "city",
"type": "string",
"display": true,
"required": false,
"displayName": "city",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "state",
"type": "string",
"display": true,
"required": false,
"displayName": "state",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "country",
"type": "string",
"display": true,
"required": false,
"displayName": "country",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_annual_revenue_printed",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_annual_revenue_printed",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_seo_description",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_seo_description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_short_description",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_short_description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "keywords",
"type": "string",
"display": true,
"required": false,
"displayName": "keywords",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_technologies",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_technologies",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email_domain_catchall",
"type": "string",
"display": true,
"required": false,
"displayName": "email_domain_catchall",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "organization_id",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "twitter_url",
"type": "string",
"display": true,
"required": false,
"displayName": "twitter_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "facebook_url",
"type": "string",
"display": true,
"required": false,
"displayName": "facebook_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_linkedin_url",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_linkedin_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_linkedin_uid",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_linkedin_uid",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_twitter_url",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_twitter_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_facebook_url",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_facebook_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_founded_year",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_founded_year",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_primary_domain",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_primary_domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_phone",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_phone",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_street_address",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_street_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_raw_address",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_raw_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_state",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_state",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_city",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_city",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_country",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_country",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "organization_postal_code",
"type": "string",
"display": true,
"required": false,
"displayName": "organization_postal_code",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "status",
"type": "string",
"display": true,
"required": false,
"displayName": "status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 206882063,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit#gid=206882063",
"cachedResultName": "100 Leads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit?usp=drivesdk",
"cachedResultName": "USA_Dental"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "ziNN7PjMJnH4Xalf",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "1bc1dfa6-e4b3-45d4-b30c-9b953c21a0b5",
"name": "hasEmail?",
"type": "n8n-nodes-base.filter",
"position": [
480,
80
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c6b56607-6929-42cd-8c72-d7cff6c80066",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.email }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "1abc54ec-ae6b-460c-b560-d5e2bef27458",
"name": "AIエージェント用にフィールドを簡素化",
"type": "n8n-nodes-base.set",
"position": [
1952,
96
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c2c46a40-fb08-41f1-a692-422f525813e9",
"name": "firstName",
"type": "string",
"value": "={{ $json.data[0].firstName }}"
},
{
"id": "09bb5d67-8b12-47e5-b0e0-e4bd1bad4f9a",
"name": "lastName",
"type": "string",
"value": "={{ $json.data[0].lastName }}"
},
{
"id": "1055fac7-ec58-4b52-941d-1d15de09d419",
"name": "companyName",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.organization_name }}"
},
{
"id": "1714c8ee-f694-484b-b0d8-aade982c6a51",
"name": "headline",
"type": "string",
"value": "={{ $json.data[0].headline }}"
},
{
"id": "2e1b64a2-b7d3-4524-8b5b-38a8b728dca7",
"name": "currentJobDurationInYrs",
"type": "number",
"value": "={{ $json.data[0].currentJobDurationInYrs }}"
},
{
"id": "04409de1-1672-4b1f-a1db-7ac098789eba",
"name": "email",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.email }}"
},
{
"id": "4da75ea0-5f95-4083-9e20-ef9a0ec7898a",
"name": "organizationShortDescription",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.organization_short_description }}"
},
{
"id": "185993ef-25a8-483b-a748-4c6515a3f0f6",
"name": "organizationCity",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.organization_city }}"
},
{
"id": "f0d764c6-6eb0-4743-b476-49486e259945",
"name": "organizationState",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.organization_state }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "330e4c8f-376d-4738-87ee-50877f64f162",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
-864,
-304
],
"parameters": {
"width": 672,
"height": 720,
"content": "\n## Cold Email Icebreaker for Personalization\n\nThis workflow does the following tasks:\n\n1. Takes in your raw leads - You might get these leads from anywhere. For best case, get your leads from Apollo but scrape it using Apify Apollo scraper https://apify.com/microworlds/apollo-scraper\nDownload the CSV file from Apify Web UI, import it into a Google Sheet (connected to your n8n account). The \"Get Raw Un-enriched Leads\" node takes in these downloaded leads as input\n \n2. \"hasEmail?\" checks if the leads have emails and returns those leads — you will only send cold emails to leads with email account\n\n3. For each lead, runs a loop and Calls Apify LinkedIn scraper - This returns valuable information about the lead\n\n4. Feed all the info to the OpenAI Agent to \"Generate Personalized Icebreaker\" for each lead. You will need to change the System prompt in this AI agent for your use case (i.e. your niche, your offer, and your niche's pain points).\n\n5. All the icebreakers and the subsequent related data are stored into a Google Sheet - You will use this Google Sheet to send cold email campaigns either manually or through whatever automated software you want to use.\n\n6. Update the original list, so that each time the workflow runs, only those leads that have not yet been enriched will be used to generate icebreaker and enrich them - This ensures you don't enrich the same lead over and over again, and that the workflow only generates personalized icebreakers of leads which haven't been touched yet.\n\nN.B. - You can see a working demo of this workflow in [this YouTube Link ](https://www.youtube.com/watch?v=Ah4Ynj-56sM)"
},
"typeVersion": 1
},
{
"id": "3c4c4919-81c6-4ad5-a7dd-594271fd59c1",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
-96
],
"parameters": {
"color": 3,
"width": 560,
"height": 400,
"content": "## Pre-process raw leads\n- Connect your Google Sheet account with n8n.\n- Choose the file that contains your downloaded CSV raw lead.\n- Discard leads that do not have work email"
},
"typeVersion": 1
},
{
"id": "7b97c7f6-4d1e-4cd3-a73e-3f9894e340d7",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1120,
-96
],
"parameters": {
"color": 2,
"width": 672,
"height": 400,
"content": "## Get data from LinkedIn, and clean it.\nIn the \"Set Apify Tokens\" Node do the following: \n1. set the apifyAPIKey with your own Apify API key [(get it from here)](https://console.apify.com/settings/integrations),\n2. set the apifyActorID with the Apify Scraper ID of your choice. [This](https://console.apify.com/actors/2SyF0bVxmgGr8IVCZ) actor works best for scraping LinkedIn profile\n\n"
},
"typeVersion": 1
},
{
"id": "2651f7b6-fd1f-41cd-bb78-68046d3a8bab",
"name": "未拡張リードを取得",
"type": "n8n-nodes-base.googleSheets",
"position": [
256,
80
],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "un-enriched",
"lookupColumn": "status"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 206882063,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit#gid=206882063",
"cachedResultName": "100 Leads"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1kJq_R41U_PkQlIhi7D1LTAhWP-RO0hSRjUNf9C4AHUw/edit?usp=drivesdk",
"cachedResultName": "USA_Dental"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "ziNN7PjMJnH4Xalf",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "1754f0ae-6be9-4a8a-9087-fa41824fd999",
"name": "Apify トークンを設定",
"type": "n8n-nodes-base.set",
"position": [
1200,
96
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "69e8dbff-d9f3-446a-9dbd-2d4f2829cf1e",
"name": "apifyAPIKey",
"type": "string",
"value": ""
},
{
"id": "ab06d038-d0f2-43c0-b17e-c38c80817aae",
"name": "apifyActorID",
"type": "string",
"value": ""
}
]
}
},
"typeVersion": 3.4
},
{
"id": "93c3718a-df70-4dc2-ad86-5db621f0984c",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1840,
-96
],
"parameters": {
"color": 2,
"width": 672,
"height": 400,
"content": "## Generate personalized icebreaker\n- Cleans content to feed into AI agent\n- The AI agent goes through the scraped data and writes hyper-personalized icebreaker for cold email\n- Change the system prompt in the AI agent node to fit your use case.\n- OpenAI GPT 4.1 mini works best without breaking your bank.\n\n"
},
"typeVersion": 1
},
{
"id": "713a09f1-b3a2-42fa-9bfd-8dd11ca4a01b",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1840,
448
],
"parameters": {
"color": 2,
"width": 672,
"height": 400,
"content": "## Append & Update Google Sheet\n- The \"Append Enriched Icebreaker\" node appends the icebreaker along with the respective lead info into a new Google Sheet.\n- The \"Update Un-enriched List\" node updates the original Google Sheet to mark the processed lead as \"enriched\" from \"un-enriched\""
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"b411411c-96b9-48b8-8d4d-b4884912336c": {
"main": [
[
{
"node": "1abc54ec-ae6b-460c-b560-d5e2bef27458",
"type": "main",
"index": 0
}
]
]
},
"1bc1dfa6-e4b3-45d4-b30c-9b953c21a0b5": {
"main": [
[
{
"node": "947b70ae-4cab-4c36-b4f4-27d36d78915e",
"type": "main",
"index": 0
}
]
]
},
"947b70ae-4cab-4c36-b4f4-27d36d78915e": {
"main": [
[],
[
{
"node": "1754f0ae-6be9-4a8a-9087-fa41824fd999",
"type": "main",
"index": 0
}
]
]
},
"1754f0ae-6be9-4a8a-9087-fa41824fd999": {
"main": [
[
{
"node": "5f132e78-5a48-45b2-a777-87983fb5a647",
"type": "main",
"index": 0
}
]
]
},
"5f132e78-5a48-45b2-a777-87983fb5a647": {
"main": [
[
{
"node": "b411411c-96b9-48b8-8d4d-b4884912336c",
"type": "main",
"index": 0
}
]
]
},
"7263e986-8992-4f26-9df1-4c00a1a0d73a": {
"main": [
[
{
"node": "947b70ae-4cab-4c36-b4f4-27d36d78915e",
"type": "main",
"index": 0
}
]
]
},
"2651f7b6-fd1f-41cd-bb78-68046d3a8bab": {
"main": [
[
{
"node": "1bc1dfa6-e4b3-45d4-b30c-9b953c21a0b5",
"type": "main",
"index": 0
}
]
]
},
"50ae1e60-f2cb-491e-8d02-20d8c31e91e6": {
"main": [
[
{
"node": "7263e986-8992-4f26-9df1-4c00a1a0d73a",
"type": "main",
"index": 0
}
]
]
},
"1abc54ec-ae6b-460c-b560-d5e2bef27458": {
"main": [
[
{
"node": "e8a9b61d-4cf8-4b0e-a10d-ba83d212ae07",
"type": "main",
"index": 0
}
]
]
},
"e8a9b61d-4cf8-4b0e-a10d-ba83d212ae07": {
"main": [
[
{
"node": "50ae1e60-f2cb-491e-8d02-20d8c31e91e6",
"type": "main",
"index": 0
}
]
]
},
"49891093-0149-475d-ad6a-b80832087c47": {
"main": [
[
{
"node": "2651f7b6-fd1f-41cd-bb78-68046d3a8bab",
"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 - リード獲得, 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
AIを活用したリードジェネレーションシステム（メールパーソナライズとLinkedIn）
AIを活用したリードジェネレーションシステム：メールパーソナライズとLinkedIn機能を含む
If
Code
Limit
+
If
Code
Limit
51 ノードMatthieu
リード獲得
カスタムカールドメールアイスブレイカージェネレーター
ApolloリードスクレイピングとGPT-4.1を使ってパーソナライズされた冷メールを自動化
Set
Code
Slack
+
Set
Code
Slack
24 ノードRichard Besier
リード獲得
LinkedIn、OpenAI、Sales Navigatorを使用して有効なリードを作成し、コールドコールスクリプトを自動生成
LinkedIn、OpenAI、Sales Navigatorを使って、合格したリードとコールドケーススクリプトを作成
If
Code
Limit
+
If
Code
Limit
47 ノードMatthieu
リード獲得
AIを活用したリードジェネレーション（Apollo、LinkedInリサーチ、4段階のパーソナライズメール）
AIを活用したリードジェネレーション：Apollo、LinkedInリサーチ、4段階のパーソナライズメールを使用
If
Set
Code
+
If
Set
Code
30 ノードGain FLow AI
リード獲得
Google MapsリードスクレイピングとAI駆動型パーソナライズされたアプローチによるリッチ化
Google MapsリードスクレイピングとAI駆動型パーソナライズされたアプローチによるリッチ化
Set
Code
Filter
+
Set
Code
Filter
24 ノードA Z
リード獲得
OpenAI、ElevenLabs、Fal.ai を使用した動画・パ odcast・ASM R向けのウイルス性コンテンツ自動作成
OpenAI、ElevenLabs、そして Fal.ai を使って動画、ポッドキャスト、ASMR に向けたウイルスのコンテンツ作成を自動化
Set
Code
Wait
+
Set
Code
Wait
97 ノードAdam Crafts
コンテンツ作成
ワークフロー情報
難易度
上級
ノード数16
カテゴリー2
ノードタイプ9
作成者
Erfan Mostafiz
@erfanmostafizn8n AI automation builder focused on practical, high-impact workflows that save time and close deals. I specialize in workflows that include cold outreach, lead enrichment, and marketing ops using tools like n8n, OpenAI, Apify, and Google Sheets. Everything I publish is built for speed, clarity, and real-world use.
外部リンク
n8n.ioで表示 →
このワークフローを共有