使用深度提取的LinkedIn爬虫，通过Google Gemini总结并存储到Supabase
高级
这是一个AI Summarization, Multimodal AI领域的自动化工作流，包含 31 个节点。主要使用 If, Set, Merge, Webhook, Supabase 等节点。 使用Bright Data、Google Gemini和Supabase提取和总结LinkedIn个人资料
前置要求
- •HTTP Webhook 端点（n8n 会自动生成）
- •Supabase URL 和 API Key
- •Google Gemini API Key
使用的节点 (31)
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
{
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"templateCredsSetupCompleted": true
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"name": "使用深度提取的 LinkedIn 爬虫，通过 Google Gemini 总结并存储到 Supabase",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
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"name": "Building Blocks",
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"updatedAt": "2025-04-13T15:23:40.462Z"
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"nodes": [
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"id": "82c4f148-6d95-46b4-8418-39624840f431",
"name": "访问并提取特定 URL 的数据",
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{
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{
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{
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{
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"parameters": {},
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"retryOnFail": true,
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{
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"name": "用于新兴职位识别的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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{
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"parameters": {},
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{
"id": "ba23d43e-bbdd-4273-a3ab-56d096481ce5",
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"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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{
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{
"id": "5c7d6311-7ace-4785-9b84-94217c9295e6",
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"parameters": {},
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{
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{
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"webhookId": "b41a537d-e552-4422-90be-b8e04a77e730",
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{
"id": "c4b0e1b4-64f9-4d17-899d-0aebef085bc8",
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{
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{
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{
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{
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{
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{
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{
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"active": true,
"pinData": {},
"settings": {
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"versionId": "93e4376a-0410-422c-b767-b95b60f2dfb1",
"connections": {
"Merge": {
"main": [
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{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
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},
"Webhook": {
"main": [
[
{
"node": "Set the Input Fields",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "If force create?",
"type": "main",
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}
]
]
},
"Get a row": {
"main": [
[
{
"node": "If record exist",
"type": "main",
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}
]
]
},
"Summarizer": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 3
}
]
]
},
"Update Row": {
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{
"node": "Respond to Webhook Update",
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"Create a row": {
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{
"node": "Respond to Webhook Create",
"type": "main",
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}
]
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},
"Emerging Roles": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"If record exist": {
"main": [
[
{
"node": "Update Row",
"type": "main",
"index": 0
}
],
[
{
"node": "Respond to Webhook Not Found",
"type": "main",
"index": 0
}
]
]
},
"If force create?": {
"main": [
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{
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"type": "main",
"index": 0
}
],
[
{
"node": "Create a row",
"type": "main",
"index": 0
}
]
]
},
"Markdown Content": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 2
}
]
]
},
"Skills Extractor": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 4
}
]
]
},
"Basic Profile Info": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Respond to Webhook": {
"main": [
[
{
"node": "Stop and Error",
"type": "main",
"index": 0
}
]
]
},
"Set the Input Fields": {
"main": [
[
{
"node": "Access and extract data from a specific URL",
"type": "main",
"index": 0
}
]
]
},
"If status code <> 200": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
],
[
{
"node": "Basic Profile Info",
"type": "main",
"index": 0
},
{
"node": "Emerging Roles",
"type": "main",
"index": 0
},
{
"node": "Markdown Content",
"type": "main",
"index": 0
},
{
"node": "Summarizer",
"type": "main",
"index": 0
},
{
"node": "Skills Extractor",
"type": "main",
"index": 0
}
]
]
},
"Set the Scraped Response": {
"main": [
[
{
"node": "If status code <> 200",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Experiences": {
"ai_languageModel": [
[
{
"node": "Markdown Content",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Summarization": {
"ai_languageModel": [
[
{
"node": "Summarizer",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Access and extract data from a specific URL": {
"main": [
[
{
"node": "Set the Scraped Response",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Emerging Roles": {
"ai_languageModel": [
[
{
"node": "Emerging Roles",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Skill Extraction": {
"ai_languageModel": [
[
{
"node": "Skills Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Basic Profile Info": {
"ai_languageModel": [
[
{
"node": "Basic Profile Info",
"type": "ai_languageModel",
"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 - AI 摘要总结, 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31
分类2
节点类型12
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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