1. LinkedIn连接请求系统：触发PhantomBuster智能体
中级
这是一个AI, Marketing领域的自动化工作流，包含 12 个节点。主要使用 Limit, Aggregate, FormTrigger, HttpRequest, GoogleSheets 等节点，结合人工智能技术实现智能自动化。 使用 Apollo、GPT-4、Apify 和 PhantomBuster 的个性化 LinkedIn 连接请求
前置要求
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
- •OpenAI API Key
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "5RFmm8vrn1I8fFGE",
"meta": {
"instanceId": "d7661a849ead114a9aa6d9ceaf4160465aeb79532a35bde62160c840ffba9fc8"
},
"name": "1. LinkedIn连接请求系统：触发PhantomBuster智能体",
"tags": [
{
"id": "l8MPK4ZirgwFWMno",
"name": "N8N Course",
"createdAt": "2025-01-23T18:12:52.273Z",
"updatedAt": "2025-01-23T18:12:52.273Z"
}
],
"nodes": [
{
"id": "sticky-note-1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
-280
],
"parameters": {
"width": 350,
"height": 180,
"content": "## 🎯 第一步：自然语言潜在客户定位"
},
"typeVersion": 1
},
{
"id": "sticky-note-2",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-320
],
"parameters": {
"width": 380,
"height": 180,
"content": "## 🔍 第二步：Apollo潜在客户提取"
},
"typeVersion": 1
},
{
"id": "sticky-note-3",
"type": "n8n-nodes-base.stickyNote",
"position": [
900,
-320
],
"parameters": {
"width": 380,
"height": 180,
"content": "## 🧠 第三步：AI个性化引擎"
},
"typeVersion": 1
},
{
"id": "sticky-note-4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1400,
-320
],
"parameters": {
"width": 380,
"height": 180,
"content": "## 📋 第四步：外联执行"
},
"typeVersion": 1
},
{
"id": "2419d138-c9f7-494b-b84f-7bd8158aef28",
"name": "表单提交时",
"type": "n8n-nodes-base.formTrigger",
"position": [
0,
0
],
"webhookId": "ecb5116a-1434-45b5-8f38-31393735a1b8",
"parameters": {
"options": {},
"formTitle": "LinkedIn Lead Outreach Trigger",
"formFields": {
"values": [
{
"fieldType": "textarea",
"fieldLabel": "Describe your audience in plain English.",
"placeholder": "Company type, location, etc",
"requiredField": true
}
]
},
"authentication": "basicAuth",
"formDescription": "Insert an audience for your LinkedIn Outreach Campaign here."
},
"credentials": {
"httpBasicAuth": {
"id": "G9fv9EzHaTdmtYXb",
"name": "Unnamed credential"
}
},
"typeVersion": 2.2
},
{
"id": "893e5e59-ddac-480e-9666-cfc4eacf993e",
"name": "运行Apify执行器并获取结果",
"type": "n8n-nodes-base.httpRequest",
"position": [
580,
0
],
"parameters": {
"url": "https://api.apify.com/v2/acts/jljBwyyQakqrL1wae/run-sync-get-dataset-items",
"method": "POST",
"options": {},
"jsonBody": "={\n \"getPersonalEmails\": true,\n \"getWorkEmails\": true,\n \"totalRecords\": 500,\n \"url\": \"{{ $json.message.content.searchUrl }}\"\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer <your-apify-api-key-here>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "2050e13d-55be-4669-b805-d2210fb364ba",
"name": "生成搜索URL",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
220,
0
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.5-preview",
"cachedResultName": "GPT-4.5-PREVIEW"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You're a helpful, intelligent sales assistant."
},
{
"content": "Your task is to take as input a natural language description of a prospect audience, and turn that into an Apollo Search URL.\n\nHere's an example of an Apollo Search URL:\n\nhttps://app.apollo.io/#/people?personLocations[]=United%20States&sortAscending=false&sortByField=%5Bnone%5D&personTitles[]=owner&personTitles[]=ceo&personTitles[]=founder&personTitles[]=partner&page=1&qKeywords=creative%20agency&organizationNumEmployeesRanges[]=1%2C200\n\nThis URL describes a search for people that are\n- Located in the United States.\n- Hold the titles: Owner, CEO, Founder, or Partner.\n- Have a keyword association with “creative agency”.\n\nThese are the fields you can change:\n\norganizationLocations[], Keywords, personTitles[], and organizationNumEmployeesRanges[]\n\nDo not add or change any other fields. Use the above template\n\nReturn your response in JSON using this format:\n\n{\"searchUrl\":\"search url goes here\"}"
},
{
"content": "={{ $json['Describe your audience in plain English.'] }}"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "kRhXLl2JwVGc05AE",
"name": "YouTube_Feb 4"
}
},
"typeVersion": 1.6
},
{
"id": "97bf46ab-1900-4dc3-be9e-bf4c1a40190a",
"name": "限制",
"type": "n8n-nodes-base.limit",
"position": [
780,
0
],
"parameters": {
"maxItems": 3
},
"typeVersion": 1
},
{
"id": "1065dcfe-a305-43fe-97e5-7ad2c3bfb163",
"name": "触发PhantomBuster智能体",
"type": "n8n-nodes-base.httpRequest",
"position": [
1780,
0
],
"parameters": {
"url": "https://api.phantombuster.com/api/v2/agents/launch",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "id",
"value": "4108795702201397"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "X-Phantombuster-Key",
"value": "<your-phantombuster-api-key-here>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c407a69a-a9b9-49dd-a5c5-8ca9b530b358",
"name": "添加到Google表格",
"type": "n8n-nodes-base.googleSheets",
"position": [
1340,
0
],
"parameters": {
"columns": {
"value": {
"id": "={{ $('Limit').item.json.id }}",
"name": "={{ $('Limit').item.json.name }}",
"title": "={{ $('Limit').item.json.title }}",
"last_name": "={{ $('Limit').item.json.last_name }}",
"photo_url": "={{ $('Limit').item.json.photo_url }}",
"first_name": "={{ $('Limit').item.json.first_name }}",
"icebreaker": "={{ $json.message.content.icebreaker }}",
"email_status": "={{ $('Limit').item.json.email_status }}",
"linkedin_url": "={{ $('Limit').item.json.linkedin_url }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"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": "name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "linkedin_url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "linkedin_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email_status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "email_status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "photo_url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "photo_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "icebreaker",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "icebreaker",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
]
},
"options": {
"useAppend": true
},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/12VzSF9drN_kWYsGhNjir9hAGCE0k56N7HkfAV8EuI7Q/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "12VzSF9drN_kWYsGhNjir9hAGCE0k56N7HkfAV8EuI7Q",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/12VzSF9drN_kWYsGhNjir9hAGCE0k56N7HkfAV8EuI7Q/edit?usp=drivesdk",
"cachedResultName": "Leads"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "EOibXIc4U8wcXyRR",
"name": "YouTube"
}
},
"typeVersion": 4.5
},
{
"id": "04290792-010b-43da-b606-74e15185312d",
"name": "个性化外联",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
980,
0
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You are a helpful, intelligent writing assistant."
},
{
"content": "Your task is to take as input a bunch of LinkedIn profile information of a user, and then generate a very short, very punchy icebreaker that I can use as a variable in my connection request.\n\nReturn your results in this format:\n\n{\"icebreaker\":\"Icebreaker goes here\"}\n\nIn order to ensure icebreakers are punchy and high-quality, make them follow this template:\n\nHey {{name}}, loved seeing {{thingAboutThem}}. I'm also into {{plausibleTieIn}}, thought I'd connect.\n\nFor {{thingAboutThem}} and {{plausibleTieIn}}, never use the exact information provided in a LinkedIn field. Instead, always paraphrase. This makes it seem human written, instead of just an automated message. Also, make it super short. Don't say stuff like \"passionate about turning vision into reality\" or anything like that—be extremely laconic and spartan."
},
{
"content": "{\"linkedInFields\":\"Danielle Morgan, Fort Lauderdale, Founder & CEO at DM Creative Agency, previous experience: Regional Sales Director at Out East Eyewear, Account Director at Radancy\"}"
},
{
"role": "assistant",
"content": "{\n \"icebreaker\": \"Hey Danielle, loved seeing your creative agency journey. I'm also building brands, thought I'd connect.\"\n}"
},
{
"content": "={\"linkedInFields\":\"{{ $json.first_name }} {{ $json.last_name }}, {{ $json.city }}, {{ $json.title }} at {{ $json.employment_history[0].organization_name }}, previous experience: {{ $json.employment_history[1].title }} at {{ $json.employment_history[1].organization_name }}, {{ $json.employment_history[2].title }} at {{ $json.employment_history[2].organization_name }}\"} "
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "kRhXLl2JwVGc05AE",
"name": "YouTube_Feb 4"
}
},
"typeVersion": 1.6
},
{
"id": "3e677add-7bee-4fbf-bff1-b7ea9ae51be6",
"name": "聚合",
"type": "n8n-nodes-base.aggregate",
"position": [
1560,
0
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "801b4eef-45ec-4651-b4cd-b82178d93264",
"connections": {
"Limit": {
"main": [
[
{
"node": "Personalize Outreach",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Trigger PhantomBuster Agent",
"type": "main",
"index": 0
}
]
]
},
"On form submission": {
"main": [
[
{
"node": "Generate Search URL",
"type": "main",
"index": 0
}
]
]
},
"Add to Google Sheet": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Generate Search URL": {
"main": [
[
{
"node": "Run Apify Actor & Get Results",
"type": "main",
"index": 0
}
]
]
},
"Personalize Outreach": {
"main": [
[
{
"node": "Add to Google Sheet",
"type": "main",
"index": 0
}
]
]
},
"Run Apify Actor & Get Results": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
中级 - 人工智能, 营销
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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