LinkedIn个人资料提取与JSON简历构建（Bright Data与Google
高级
这是一个HR, AI领域的自动化工作流，包含 19 个节点。主要使用 Set, Code, Function, HttpRequest, ManualTrigger 等节点，结合人工智能技术实现智能自动化。 LinkedIn个人资料提取与JSON简历构建（Bright Data与Google Gemini）
前置要求
- •可能需要目标 API 的认证凭证
- •Google Gemini API Key
使用的节点 (19)
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": "V9lUeUsju5cwwmNc",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "LinkedIn 个人资料提取并使用 Bright Data 和 Google Gemini 构建 JSON 简历",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ZOwtAMLepQaGW76t",
"name": "Building Blocks",
"createdAt": "2025-04-13T15:23:40.462Z",
"updatedAt": "2025-04-13T15:23:40.462Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
},
{
"id": "rKOa98eAi3IETrLu",
"name": "HR",
"createdAt": "2025-04-13T04:59:30.580Z",
"updatedAt": "2025-04-13T04:59:30.580Z"
}
],
"nodes": [
{
"id": "0bac88f2-4912-4b1e-b511-aab2c3b34db9",
"name": "当点击“测试工作流”时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-580,
-140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "df338f53-cb90-4529-befb-382735043ec2",
"name": "设置 URL 和 Bright Data 区域",
"type": "n8n-nodes-base.set",
"position": [
-360,
-140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://www.linkedin.com/in/ranjan-dailata"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
},
{
"id": "20518160-df56-49fe-9a42-05e9f9d743a5",
"name": "webhook_notification_url",
"type": "string",
"value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e3a859aa-b330-4ae5-b0fb-7cd621be6fb3",
"name": "执行 Bright Data Web 请求",
"type": "n8n-nodes-base.httpRequest",
"position": [
-140,
-140
],
"parameters": {
"url": "https://api.brightdata.com/request",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "zone",
"value": "={{ $json.zone }}"
},
{
"name": "url",
"value": "={{ $json.url }}"
},
{
"name": "format",
"value": "raw"
},
{
"name": "data_format",
"value": "markdown"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "078d4a98-9c45-4370-a579-06450798f1a1",
"name": "Markdown 到文本数据提取器",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
80,
-140
],
"parameters": {
"text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
"messages": {
"messageValues": [
{
"message": "You are a markdown expert"
}
]
},
"promptType": "define"
},
"retryOnFail": true,
"typeVersion": 1.6
},
{
"id": "2ba19dce-4f9a-439d-b7ae-d701ddb03616",
"name": "用于 Markdown 到文本的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
100,
80
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "a45dbef9-58f3-4730-8e1b-83419e1efc85",
"name": "技能提取器",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
456,
-440
],
"parameters": {
"text": "=Perform Data Mining and extract the skills from the provided resume\n\n {{ $json.text }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"skill\": {\n\t\t\t\"type\": \"string\"\n\t\t},\n \"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"retryOnFail": true,
"typeVersion": 1
},
{
"id": "955af989-3590-49ae-90be-df6424200e42",
"name": "用于技能提取器的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
544,
-220
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "5c32bdeb-666b-4a0f-9722-0c62ec95ac9e",
"name": "为结构化数据提取创建二进制数据",
"type": "n8n-nodes-base.function",
"position": [
1052,
-40
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "b9e899f3-a1a4-4dce-af96-1814fb3c03b7",
"name": "将结构化内容写入磁盘",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1280,
-40
],
"parameters": {
"options": {},
"fileName": "=d:\\Json_Resume.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "db74b347-713e-4ff6-9783-1d3f6b1895a6",
"name": "为结构化数据启动 Webhook 通知",
"type": "n8n-nodes-base.httpRequest",
"position": [
1060,
160
],
"parameters": {
"url": "={{ $('Set URL and Bright Data Zone').item.json.webhook_notification_url }}",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "json_resume",
"value": "={{ $('JSON Resume Extractor').item.json.output.toJsonString() }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "29d27cef-c868-4552-ab41-08276f56e6f9",
"name": "将结构化技能内容写入磁盘",
"type": "n8n-nodes-base.readWriteFile",
"position": [
1060,
-340
],
"parameters": {
"options": {},
"fileName": "=d:\\Resume_Skills.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "c7a77bd9-955c-45ec-b6d7-e10717eda093",
"name": "为结构化技能提取创建二进制数据",
"type": "n8n-nodes-base.function",
"position": [
832,
-340
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "46dc726e-c939-466b-b834-83f0aed2c95c",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-140,
-420
],
"parameters": {
"color": 5,
"width": 440,
"height": 240,
"content": "## LLM 使用"
},
"typeVersion": 1
},
{
"id": "a100ebc9-9253-4e80-93d9-60174a08e7d9",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-780
],
"parameters": {
"color": 7,
"width": 400,
"height": 340,
"content": "## 徽标"
},
"typeVersion": 1
},
{
"id": "097e223c-61e2-4c01-ab8c-3eb2cc48b165",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-580,
-420
],
"parameters": {
"width": 400,
"height": 240,
"content": "## 注意"
},
"typeVersion": 1
},
{
"id": "8260cf1a-bd5e-4c05-a898-e7f74ff1d268",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-520
],
"parameters": {
"color": 7,
"width": 1100,
"height": 960,
"content": "## 使用 LLM 进行结构化数据提取"
},
"typeVersion": 1
},
{
"id": "e06fcc12-c264-439f-84f2-1988587e21c6",
"name": "JSON 简历提取器",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
460,
80
],
"parameters": {
"text": "=Extract the resume in JSON format.\n {{ $json.text }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"title\": \"JSON Resume\",\n \"type\": \"object\",\n \"properties\": {\n \"basics\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"label\": { \"type\": \"string\" },\n \"image\": { \"type\": \"string\", \"format\": \"uri\" },\n \"email\": { \"type\": \"string\", \"format\": \"email\" },\n \"phone\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n \"summary\": { \"type\": \"string\" },\n \"location\": {\n \"type\": \"object\",\n \"properties\": {\n \"address\": { \"type\": \"string\" },\n \"postalCode\": { \"type\": \"string\" },\n \"city\": { \"type\": \"string\" },\n \"countryCode\": { \"type\": \"string\" },\n \"region\": { \"type\": \"string\" }\n }\n },\n \"profiles\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"network\": { \"type\": \"string\" },\n \"username\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" }\n }\n }\n }\n }\n },\n \"work\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"position\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"summary\": { \"type\": \"string\" },\n \"highlights\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"volunteer\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"organization\": { \"type\": \"string\" },\n \"position\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"summary\": { \"type\": \"string\" },\n \"highlights\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"education\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"institution\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n \"area\": { \"type\": \"string\" },\n \"studyType\": { \"type\": \"string\" },\n \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"score\": { \"type\": \"string\" },\n \"courses\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"awards\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"title\": { \"type\": \"string\" },\n \"date\": { \"type\": \"string\", \"format\": \"date\" },\n \"awarder\": { \"type\": \"string\" },\n \"summary\": { \"type\": \"string\" }\n }\n }\n },\n \"certificates\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"date\": { \"type\": \"string\", \"format\": \"date\" },\n \"issuer\": { \"type\": \"string\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" }\n }\n }\n },\n \"publications\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"publisher\": { \"type\": \"string\" },\n \"releaseDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" },\n \"summary\": { \"type\": \"string\" }\n }\n }\n },\n \"skills\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"level\": { \"type\": \"string\" },\n \"keywords\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"languages\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"language\": { \"type\": \"string\" },\n \"fluency\": { \"type\": \"string\" }\n }\n }\n },\n \"interests\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"keywords\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n }\n }\n }\n },\n \"references\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"reference\": { \"type\": \"string\" }\n }\n }\n },\n \"projects\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": { \"type\": \"string\" },\n \"startDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"endDate\": { \"type\": \"string\", \"format\": \"date\" },\n \"description\": { \"type\": \"string\" },\n \"highlights\": {\n \"type\": \"array\",\n \"items\": { \"type\": \"string\" }\n },\n \"url\": { \"type\": \"string\", \"format\": \"uri\" }\n }\n }\n }\n },\n \"required\": [\"basics\"]\n}\n"
},
"retryOnFail": true,
"typeVersion": 1
},
{
"id": "14c17907-10bb-45a8-b835-39251b742cbe",
"name": "Google Gemini聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
580,
260
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "9ec7af7d-72e6-410d-b52e-9eda3e193e30",
"name": "代码",
"type": "n8n-nodes-base.code",
"position": [
800,
80
],
"parameters": {
"jsCode": "return $input.first().json.output"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "bcad3928-6913-44b0-b9e5-efc6e738769c",
"connections": {
"9ec7af7d-72e6-410d-b52e-9eda3e193e30": {
"main": [
[
{
"node": "db74b347-713e-4ff6-9783-1d3f6b1895a6",
"type": "main",
"index": 0
},
{
"node": "5c32bdeb-666b-4a0f-9722-0c62ec95ac9e",
"type": "main",
"index": 0
}
]
]
},
"a45dbef9-58f3-4730-8e1b-83419e1efc85": {
"main": [
[
{
"node": "c7a77bd9-955c-45ec-b6d7-e10717eda093",
"type": "main",
"index": 0
}
]
]
},
"e06fcc12-c264-439f-84f2-1988587e21c6": {
"main": [
[
{
"node": "9ec7af7d-72e6-410d-b52e-9eda3e193e30",
"type": "main",
"index": 0
}
]
]
},
"14c17907-10bb-45a8-b835-39251b742cbe": {
"ai_languageModel": [
[
{
"node": "e06fcc12-c264-439f-84f2-1988587e21c6",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"df338f53-cb90-4529-befb-382735043ec2": {
"main": [
[
{
"node": "e3a859aa-b330-4ae5-b0fb-7cd621be6fb3",
"type": "main",
"index": 0
}
]
]
},
"e3a859aa-b330-4ae5-b0fb-7cd621be6fb3": {
"main": [
[
{
"node": "078d4a98-9c45-4370-a579-06450798f1a1",
"type": "main",
"index": 0
}
]
]
},
"0bac88f2-4912-4b1e-b511-aab2c3b34db9": {
"main": [
[
{
"node": "df338f53-cb90-4529-befb-382735043ec2",
"type": "main",
"index": 0
}
]
]
},
"078d4a98-9c45-4370-a579-06450798f1a1": {
"main": [
[
{
"node": "a45dbef9-58f3-4730-8e1b-83419e1efc85",
"type": "main",
"index": 0
},
{
"node": "e06fcc12-c264-439f-84f2-1988587e21c6",
"type": "main",
"index": 0
}
]
]
},
"955af989-3590-49ae-90be-df6424200e42": {
"ai_languageModel": [
[
{
"node": "a45dbef9-58f3-4730-8e1b-83419e1efc85",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"5c32bdeb-666b-4a0f-9722-0c62ec95ac9e": {
"main": [
[
{
"node": "b9e899f3-a1a4-4dce-af96-1814fb3c03b7",
"type": "main",
"index": 0
}
]
]
},
"2ba19dce-4f9a-439d-b7ae-d701ddb03616": {
"ai_languageModel": [
[
{
"node": "078d4a98-9c45-4370-a579-06450798f1a1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"c7a77bd9-955c-45ec-b6d7-e10717eda093": {
"main": [
[
{
"node": "29d27cef-c868-4552-ab41-08276f56e6f9",
"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 - 人力资源, 人工智能
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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产品
工作流信息
难度等级
高级
节点数量19
分类2
节点类型10
作者
Ranjan Dailata
@ranjancseA Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com
外部链接
在 n8n.io 查看 →
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