超个性化外展
高级
这是一个Lead Nurturing, Multimodal AI领域的自动化工作流，包含 35 个节点。主要使用 If, Set, Code, Merge, SendGrid 等节点。 基于 Apollo、LinkedIn、GPT-4.1 和 SendGrid 的个性化 B2B 邮件外联
前置要求
- •Supabase URL 和 API Key
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (35)
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": "eZfFdSNlnzCVX3Vq",
"meta": {
"instanceId": "ab832d712c9f010aff4b26314bb2660d2d26d8ea27e8f92f30ee8c2dfe71672b"
},
"name": "超个性化外展",
"tags": [
{
"id": "tWKtoc0mr7oKZh9m",
"name": "INDIA",
"createdAt": "2025-07-09T07:09:33.889Z",
"updatedAt": "2025-07-09T07:09:33.889Z"
}
],
"nodes": [
{
"id": "63af4c83-7aae-485d-8f84-84d51148874d",
"name": "Apollo 爬虫",
"type": "n8n-nodes-base.httpRequest",
"position": [
2760,
-320
],
"parameters": {
"url": "https://api.apify.com/v2/acts/code_crafter~apollo-io-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_KEY",
"options": {},
"jsonBody": "={\n \"getPersonalEmails\": true,\n \"getWorkEmails\": true,\n \"totalRecords\": 500,\n \"url\": \"\"\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2,
"alwaysOutputData": false
},
{
"id": "4bce359d-0cea-4155-b596-f82cd0491d66",
"name": "必需数据",
"type": "n8n-nodes-base.set",
"position": [
2940,
-320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "12627ab3-3654-4f68-8a59-6a73e24bda05",
"name": "linkedin_url",
"type": "string",
"value": "={{ $json.linkedin_url }}"
},
{
"id": "159c2aae-13c6-4ea9-bdf9-9b35df005f41",
"name": "email",
"type": "string",
"value": "={{ $json.email }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "43b754c0-91e0-4559-b8f1-f05e6a6dc623",
"name": "当点击\"测试工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
2580,
-320
],
"parameters": {},
"typeVersion": 1
},
{
"id": "b742c3ec-1a3c-4274-9716-75638b545f4a",
"name": "Supabase",
"type": "n8n-nodes-base.supabase",
"position": [
3140,
-320
],
"parameters": {
"tableId": "Data",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "linkedin_url",
"fieldValue": "={{ $json.linkedin_url }}"
},
{
"fieldId": "email",
"fieldValue": "={{ $json.email }}"
}
]
}
},
"typeVersion": 1
},
{
"id": "e86c3301-442a-4a71-a772-29e4c0528cbf",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
2520,
-600
],
"parameters": {
"color": 6,
"width": 820,
"height": 460,
"content": "## 潜在客户收集器"
},
"typeVersion": 1
},
{
"id": "0324b737-19f1-47ad-adba-24f504bd846f",
"name": "结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
4820,
740
],
"parameters": {
"jsonSchemaExample": "{\n\t\"Subject\": \"\",\n\t\"Body\": \"\"\n}"
},
"typeVersion": 1.2
},
{
"id": "98d9aa9f-d7e9-4719-9f2a-c4b8131bab68",
"name": "故事",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
4600,
560
],
"parameters": {
"text": "=Pain Point + Solution:{{ $json['Pain Point + Solution'] }}\nPersonal History:{{ $json.Fullposition }}",
"options": {
"systemMessage": "="
},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.9
},
{
"id": "8eae5dd1-f6df-4a3a-a592-6e5e93525514",
"name": "合并",
"type": "n8n-nodes-base.merge",
"position": [
5020,
500
],
"parameters": {},
"typeVersion": 3.1
},
{
"id": "b7c0f891-ba44-499a-9200-54b150554f2f",
"name": "OpenAI 聊天模型1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
5400,
680
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "b40150f2-4fed-47a5-8139-475c232545d9",
"name": "聚合",
"type": "n8n-nodes-base.aggregate",
"position": [
5200,
500
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "7f8f830d-1db2-4b1e-8eb7-4f42191fef3d",
"name": "HTML 修改器",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
5420,
500
],
"parameters": {
"text": "=HTML File: {{ $json.data[1].output.Body }}\nFirst Name:{{ $json.data[0].data[0].firstName }}",
"options": {
"systemMessage": "="
},
"promptType": "define"
},
"retryOnFail": true,
"typeVersion": 1.9
},
{
"id": "7cce232a-dabc-4a1a-9b08-fb81d223be6c",
"name": "代码",
"type": "n8n-nodes-base.code",
"position": [
2480,
680
],
"parameters": {
"jsCode": "const url = $input.first().json.linkedin_url; \nconst p1 = \"http://www.linkedin.com/in/\";\nconst p2 = \"linkedin.com/in/\";\n\nlet handle = url;\nif (handle.startsWith(p1)) {\n handle = handle.slice(p1.length);\n} else if (handle.startsWith(p2)) {\n handle = handle.slice(p2.length);\n}\n\n// now `handle` is just the username\nreturn [{ json: { handle } }];"
},
"typeVersion": 2
},
{
"id": "3b7621a2-e10f-4cd2-9bef-3a35734cf256",
"name": "结构化输出解析器1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
4000,
320
],
"parameters": {
"jsonSchemaExample": "{\n\t\"Yes\": \"True\",\n\t\"No\": \"False\",\n \"Pain Point + Solution\": \"\"\n}"
},
"typeVersion": 1.2
},
{
"id": "bbaf969a-6287-42e1-aee2-694d69bbf2a3",
"name": "聚合1",
"type": "n8n-nodes-base.aggregate",
"position": [
3180,
600
],
"parameters": {
"options": {
"includeBinaries": true
},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "eb12db12-0a58-47e9-aed9-913c50fbebf7",
"name": "合并1",
"type": "n8n-nodes-base.merge",
"position": [
3020,
600
],
"parameters": {},
"typeVersion": 3.1
},
{
"id": "06b5cb2b-d08a-40f6-b6db-9ba841dd6e60",
"name": "LinkedIn 数据",
"type": "n8n-nodes-base.httpRequest",
"position": [
2480,
480
],
"parameters": {
"url": "=https://li-data-scraper.p.rapidapi.com/get-profile-data-by-url?url= {{ $json.linkedin_url }}",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{}
]
},
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "li-data-scraper.p.rapidapi.com"
},
{
"name": "x-rapidapi-key"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "a6b4b60f-9ea6-43fd-863d-9b434af3bd65",
"name": "LinkedIn 帖子",
"type": "n8n-nodes-base.httpRequest",
"position": [
2640,
680
],
"parameters": {
"url": "https://li-data-scraper.p.rapidapi.com/get-profile-posts",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "username",
"value": "={{ $json.handle }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "x-rapidapi-host",
"value": "li-data-scraper.p.rapidapi.com"
},
{
"name": "x-rapidapi-key"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "eba257da-fdde-458e-a00e-751642528380",
"name": "摘要+名字",
"type": "n8n-nodes-base.set",
"position": [
2640,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ab22b342-5eaf-4623-af3d-959cda750294",
"name": "firstName",
"type": "string",
"value": "={{ $json.firstName }}"
},
{
"id": "43306643-963b-414b-a882-9513006b9a7d",
"name": "summary",
"type": "string",
"value": "={{ $json.summary }}"
},
{
"id": "3c792265-2f1d-4195-9aa2-6e7e05275d6c",
"name": "position[0].companyName",
"type": "string",
"value": "={{ $json.position[0].companyName }}"
},
{
"id": "d7a3c26e-ed8f-4095-87c6-7fca37d1ef07",
"name": "position[0].title",
"type": "string",
"value": "={{ $json.position[0].title }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c86745b3-fdd1-42b0-b504-56f6985f00ed",
"name": "最近 5 个帖子",
"type": "n8n-nodes-base.set",
"position": [
2780,
680
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e3ed3613-293f-4c67-8e64-b0dacc739129",
"name": "data[0].text",
"type": "string",
"value": "={{ $json.data[0].text }}"
},
{
"id": "9e801380-0227-4b9c-9307-889b5e60ad25",
"name": "data[1].text",
"type": "string",
"value": "={{ $json.data[1].text }}"
},
{
"id": "a408d1b7-7861-4df0-9f28-75c0bc8baac1",
"name": "data[2].text",
"type": "string",
"value": "={{ $json.data[2].text }}"
},
{
"id": "51ea0115-3609-4ef2-88d2-ee759f59efda",
"name": "data[3].text",
"type": "string",
"value": "={{ $json.data[3].text }}"
},
{
"id": "6e56c7db-2267-4b08-aa2b-a1f44f312f07",
"name": "data[4].text",
"type": "string",
"value": "={{ $json.data[4].text }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "eb735ea3-8163-4690-9039-095cdc687c4c",
"name": "检查空值",
"type": "n8n-nodes-base.if",
"position": [
3400,
600
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "6f5351cc-3f1a-408f-900f-bcfcf70c92f3",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.data[0].firstName }}",
"rightValue": "[null]"
},
{
"id": "9771735c-9c4f-4395-aadd-918dd78760ba",
"operator": {
"type": "string",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.data[0].summary }}",
"rightValue": "[null]"
},
{
"id": "d4fb6404-2b5f-4c7e-b4ad-0c84287cebc8",
"operator": {
"type": "array",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.data[1].data }}",
"rightValue": "[null]"
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "0bc317fe-0a8f-436d-a556-ef6f506a204f",
"name": "相关性检查",
"type": "n8n-nodes-base.if",
"position": [
4200,
180
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "deb56fcf-527e-4de4-a01c-bc085c9974ae",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "=true",
"rightValue": "true"
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "bd03e4d8-4fa9-44bb-9e94-3412810ac54b",
"name": "不相关的潜在客户",
"type": "n8n-nodes-base.supabase",
"position": [
4240,
660
],
"parameters": {
"tableId": "C-Suite",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "status",
"fieldValue": "False"
}
]
},
"operation": "update"
},
"typeVersion": 1
},
{
"id": "33fc8056-3f9a-4329-9c5d-613f52a5e69f",
"name": "成功的外展",
"type": "n8n-nodes-base.supabase",
"position": [
5740,
700
],
"parameters": {
"filters": {
"conditions": [
{
"keyName": "email",
"keyValue": "=",
"condition": "eq"
}
]
},
"tableId": "C-Suite",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "status",
"fieldValue": "True"
}
]
},
"operation": "update"
},
"typeVersion": 1
},
{
"id": "475977b6-cc71-45f7-bc2b-cfd6141e8263",
"name": "OpenAI 聊天模型2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
4520,
740
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "57f33280-8434-4945-8e3b-24a27eb92c01",
"name": "姓名",
"type": "n8n-nodes-base.set",
"position": [
3800,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b48fcb7b-6e10-4b7b-83ba-0df4a2e0b734",
"name": "data[0].firstName",
"type": "string",
"value": "={{ $json.data[0].firstName }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "bc14615f-7af4-4958-8845-47d7a7be0de5",
"name": "历史",
"type": "n8n-nodes-base.set",
"position": [
3800,
660
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "db6d425d-687b-43b9-bc65-6aea510721a3",
"name": "Fullposition",
"type": "string",
"value": "={{ $('LinkedIn Data').item.json.position }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "b8d4ceb7-bdfd-4abc-a12d-15dee5eaf31c",
"name": "合并2",
"type": "n8n-nodes-base.merge",
"position": [
4480,
240
],
"parameters": {},
"typeVersion": 3.1
},
{
"id": "401c61cf-8d1e-48a8-9f6e-e83e49e45a8f",
"name": "聚合2",
"type": "n8n-nodes-base.aggregate",
"position": [
4660,
240
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "999f524d-22f7-447a-930b-6b95ad12a90c",
"name": "编辑字段1",
"type": "n8n-nodes-base.set",
"position": [
4840,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "4d6e58bc-05b6-4751-b450-ead72648e40f",
"name": "Pain Point + Solution",
"type": "string",
"value": "={{ $json.data[0].output['Pain Point + Solution'] }}"
},
{
"id": "05211aa5-b572-41fe-bb8e-09a1cb29cdb7",
"name": "Fullposition",
"type": "string",
"value": "={{ $json.data[1].Fullposition }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "6cb4c7db-1a41-4a0c-9ab8-6cdbd8a3c050",
"name": "全部完成",
"type": "n8n-nodes-base.noOp",
"position": [
2480,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5e5fba3e-a950-4425-993d-b82f0b32d8db",
"name": "SendGrid",
"type": "n8n-nodes-base.sendGrid",
"position": [
5760,
500
],
"parameters": {
"subject": "={{ $('Aggregate').item.json.data[1].output.Subject }}",
"toEmail": "=",
"resource": "mail",
"contentType": "text/html",
"contentValue": "={{ $json.output }}",
"additionalFields": {}
},
"typeVersion": 1
},
{
"id": "bc32ff25-c629-487f-89e2-6311afa4a6ed",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3740,
340
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "ffb55b9c-7480-4907-9bd0-5cc427b67b3d",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2040,
-120
],
"parameters": {
"color": 4,
"width": 3960,
"height": 1160,
"content": "## 超个性化邮件生成器"
},
"typeVersion": 1
},
{
"id": "db19ec1f-6a6b-4c17-b6ba-1f015d686084",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
2140,
600
],
"webhookId": "93714da3-7706-40ab-818f-fa7f941b4c5f",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "1c8cb7dd-627d-49f9-a92a-d1c6b24a9a0d",
"name": "根据产品进行用户画像分析",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3780,
160
],
"parameters": {
"text": "={{ $json.data }}",
"options": {
"systemMessage": "="
},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.9
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "37a86dac-74ed-41c2-99ab-615c0b5d9990",
"connections": {
"Code": {
"main": [
[
{
"node": "LinkedIn Posts",
"type": "main",
"index": 0
}
]
]
},
"Name": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Story": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Merge1": {
"main": [
[
{
"node": "Aggregate1",
"type": "main",
"index": 0
}
]
]
},
"Merge2": {
"main": [
[
{
"node": "Aggregate2",
"type": "main",
"index": 0
}
]
]
},
"History": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 1
}
]
]
},
"SendGrid": {
"main": [
[
{
"node": "Successful Outreach",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "HTML Modifier",
"type": "main",
"index": 0
}
]
]
},
"Aggregate1": {
"main": [
[
{
"node": "Check Null Values",
"type": "main",
"index": 0
}
]
]
},
"Aggregate2": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Story",
"type": "main",
"index": 0
}
]
]
},
"Last 5 Posts": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"HTML Modifier": {
"main": [
[
{
"node": "SendGrid",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn Data": {
"main": [
[
{
"node": "Summery+First Name",
"type": "main",
"index": 0
}
]
]
},
"Required Data": {
"main": [
[
{
"node": "Supabase",
"type": "main",
"index": 0
}
]
]
},
"Apollo Scraper": {
"main": [
[
{
"node": "Required Data",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn Posts": {
"main": [
[
{
"node": "Last 5 Posts",
"type": "main",
"index": 0
}
]
]
},
"Relevance Check": {
"main": [
[
{
"node": "Merge2",
"type": "main",
"index": 0
}
],
[
{
"node": "Irrelevant Leads",
"type": "main",
"index": 0
}
]
]
},
"Irrelevant Leads": {
"main": [
[
{
"node": "All Done",
"type": "main",
"index": 0
}
]
]
},
"Check Null Values": {
"main": [
[
{
"node": "User Profiling according to Product",
"type": "main",
"index": 0
},
{
"node": "Name",
"type": "main",
"index": 0
},
{
"node": "History",
"type": "main",
"index": 0
}
],
[
{
"node": "All Done",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "User Profiling according to Product",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "HTML Modifier",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Story",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Summery+First Name": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Successful Outreach": {
"main": [
[
{
"node": "All Done",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Story",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "User Profiling according to Product",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "LinkedIn Data",
"type": "main",
"index": 0
},
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Apollo Scraper",
"type": "main",
"index": 0
}
]
]
},
"User Profiling according to Product": {
"main": [
[
{
"node": "Relevance Check",
"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？
高级 - 客户培育, 多模态 AI
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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工作流信息
难度等级
高级
节点数量35
分类2
节点类型15
作者
Misek
@misek987Hi, just a new creator and want to do my part to learn and develop myself while also giving back to the community which helped me in my journey.
外部链接
在 n8n.io 查看 →
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