通过Bright Data和Gemini AI使用实时搜索数据增强聊天响应
高级
这是一个Product, AI, Marketing领域的自动化工作流，包含 18 个节点。主要使用 Set, McpClient, McpClientTool, ManualTrigger, Agent 等节点，结合人工智能技术实现智能自动化。 通过Bright Data和Gemini AI利用实时搜索数据增强聊天响应
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 (18)
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": "8jdT4wXjV5NljqKa",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "通过 Bright Data 和 Gemini AI 使用实时搜索数据增强聊天响应",
"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"
}
],
"nodes": [
{
"id": "7294b048-5804-4620-a53e-52df293c3df1",
"name": "当收到聊天消息时",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-460,
160
],
"webhookId": "3ad383ee-ded9-4a46-9165-9af0bad6c450",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "8ff09a26-ffa4-451d-9452-35b8f2936cab",
"name": "AI 代理",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-140,
60
],
"parameters": {
"options": {
"systemMessage": "You are a helpful assistant.\n\nUse MCP Search Engine assistant tools for Bright Data for Google, Bing or Yandex Search. \n\nImportant: Return the response to Chat and also perform the webhook notification of responses.\n\nUse the relevant tool in the order of execution. "
}
},
"typeVersion": 1.8
},
{
"id": "92352366-7fe5-407d-aa34-96ac19b13284",
"name": "Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-240,
280
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "b6d947d1-9752-4aff-834c-de99ff1ad903",
"name": "简单记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-60,
280
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "73273d82-2a2f-41a2-ad1c-369f7a05ebe1",
"name": "当点击\"测试工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-480,
-200
],
"parameters": {},
"typeVersion": 1
},
{
"id": "39464933-03e0-46a2-ba3b-ab96aa14461e",
"name": "MCP 客户端列出 Bright Data 的所有工具",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
-260,
-200
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "9d0d498f-10da-4a66-9e59-1773089d5d7c",
"name": "MCP 客户端 Bright Data 搜索工具",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
160,
-200
],
"parameters": {
"toolName": "={{ $('MCP Client list all tools for Bright Data').item.json.tools[0].name }}",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.search_query }}\",\n \"engine\": \"google\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "346fd1f7-be97-47b6-b767-74382dc90979",
"name": "设置搜索查询",
"type": "n8n-nodes-base.set",
"position": [
-60,
-200
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "214e61a0-3587-453f-baf5-eac013990857",
"name": "search_query",
"type": "string",
"value": "Bright Data"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1dc4dabe-d651-4b43-b561-4528be14e578",
"name": "Bright Data 的 Google 搜索引擎",
"type": "n8n-nodes-mcp.mcpClientTool",
"notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
"position": [
240,
540
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.chatInput }}\",\n \"engine\": \"google\"\n}"
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "029f5e0e-070f-47a7-8c77-2b59ca01ada4",
"name": "Bright Data 的 Bing 搜索引擎",
"type": "n8n-nodes-mcp.mcpClientTool",
"notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
"position": [
40,
540
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.chatInput }}\",\n \"engine\": \"bing\"\n} "
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "580d37de-deb9-49cf-b9b8-4d14edca28f2",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
460
],
"parameters": {
"color": 4,
"width": 640,
"height": 240,
"content": "## Bright Data 搜索引擎"
},
"typeVersion": 1
},
{
"id": "bb77ba7c-c70e-4912-96f6-4f63b966c7a9",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
-260
],
"parameters": {
"color": 3,
"width": 460,
"height": 260,
"content": "## Bright Data Google 搜索"
},
"typeVersion": 1
},
{
"id": "ecdd9f42-f56c-4bdb-b778-cd3b7545bb37",
"name": "MCP 客户端列出所有工具",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
260,
280
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "a1adfa84-6e1a-4b5c-9148-feddb1e6ab72",
"name": "用于 Webhook 通知的 HTTP 请求",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
500,
240
],
"parameters": {
"url": "https://webhook.site/daf9d591-a130-4010-b1d3-0c66f8fcf467",
"method": "POST",
"sendBody": true,
"parametersBody": {
"values": [
{
"name": "chat_response"
}
]
},
"toolDescription": "Webhook notification for search responses"
},
"typeVersion": 1.1
},
{
"id": "ae88bb19-170f-443f-b777-561cf2e3be25",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
-400
],
"parameters": {
"width": 440,
"height": 120,
"content": "## 免责声明"
},
"typeVersion": 1
},
{
"id": "80ac697d-2c4a-4f97-82aa-edcabbf7ef6f",
"name": "Bright Data 的 Yandex 搜索引擎",
"type": "n8n-nodes-mcp.mcpClientTool",
"notes": "Scrape search results from Google, Bing or Yandex. Returns SERP results in markdown (URL, title, description)",
"position": [
460,
540
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.chatInput }}\",\n \"engine\": \"yandex\"\n}"
},
"credentials": {
"mcpClientApi": {
"id": "JtatFSfA2kkwctYa",
"name": "MCP Client (STDIO) account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "dfb2117d-782f-44d9-baca-1ee4b0fef863",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-940,
-40
],
"parameters": {
"color": 5,
"width": 400,
"height": 220,
"content": "## 注意"
},
"typeVersion": 1
},
{
"id": "694b3381-8ebe-4afb-be93-019715c0c2cf",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-440,
460
],
"parameters": {
"width": 300,
"height": 180,
"content": "## LLM 使用"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2382b23d-fd06-4f10-bcbd-f09a944a1c8d",
"connections": {
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Set search query": {
"main": [
[
{
"node": "MCP Client Bright Data Search Tool",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"MCP Client List all tools": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "MCP Client list all tools for Bright Data",
"type": "main",
"index": 0
}
]
]
},
"Bing Search Engine for Bright Data": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Google Search Engine for Bright Data": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Yandex Search Engine for Bright Data": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"HTTP Request for Webhook Notification": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"MCP Client list all tools for Bright Data": {
"main": [
[
{
"node": "Set search query",
"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 - 产品, 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。
相关工作流推荐
使用Bright Data、Google Gemini和MCP自动化AI代理抓取网页数据
使用Bright Data、Google Gemini和MCP自动化AI代理抓取网页数据
Set
Function
Mcp Client
+8
19 节点Ranjan Dailata
人工智能
AI代理驱动的ProductHunt数据提取和搜索（使用Bright Data和Google Gemini）
使用Bright Data MCP和Google Gemini AI提取和搜索ProductHunt数据
Set
Function
Mcp Client
+10
21 节点Ranjan Dailata
人工智能
使用 Bright Data MCP Agent 和 Google Gemini 执行 Google、Bing、Yandex 搜索
使用 Bright Data MCP 和 Google Gemini 搜索 Google、Bing、Yandex 并提取结构化结果
Set
Function
Mcp Client
+8
17 节点Ranjan Dailata
人工智能
使用Bright Data和Google Gemini提取并汇总Indeed公司信息
使用Bright Data和Google Gemini提取和汇总Indeed公司信息
Set
Markdown
Http Request
+7
15 节点Ranjan Dailata
人力资源
Indeed公司数据抓取与Airtable、Bright Data和Google Gemini的汇总
使用Airtable、Bright Data和Google Gemini进行Indeed数据抓取与汇总
If
Set
Wait
+11
19 节点Ranjan Dailata
人力资源
使用 Bright Data 抓取和 Google Gemini 自动化 Etsy 数据挖掘
使用 Bright Data 抓取和 Google Gemini 实现 Etsy 数据挖掘自动化
Set
Function
Split Out
+8
19 节点Ranjan Dailata
产品
