Google趋势数据提取，使用Bright Data和Google Gemini进行摘要生成
高级
这是一个Engineering, AI, Marketing领域的自动化工作流，包含 16 个节点。主要使用 Set, Gmail, Function, HttpRequest, ManualTrigger 等节点，结合人工智能技术实现智能自动化。 使用Bright Data和Google Gemini的Google趋势数据提取与摘要生成
前置要求
- •Google 账号和 Gmail API 凭证
- •可能需要目标 API 的认证凭证
- •Google Gemini API Key
使用的节点 (16)
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": "9Or3kzIEI2tskRyR",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Google 趋势数据提取，使用 Bright Data 和 Google Gemini 进行摘要生成",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
}
],
"nodes": [
{
"id": "29e6ce01-c42f-4155-add1-8a5cfff56967",
"name": "当点击\"测试工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
200,
-420
],
"parameters": {},
"typeVersion": 1
},
{
"id": "6abf0439-8286-4198-9b5e-226a7bf805dc",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
-780
],
"parameters": {
"width": 400,
"height": 300,
"content": "## 注意"
},
"typeVersion": 1
},
{
"id": "6443bdea-4577-4983-adb7-0f52d6eb3825",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
620,
-780
],
"parameters": {
"width": 480,
"height": 300,
"content": "## LLM 使用情况"
},
"typeVersion": 1
},
{
"id": "31280203-1ab1-4fb5-862f-e9c4f2969436",
"name": "Markdown 到文本数据提取器",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
860,
-420
],
"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"
},
"typeVersion": 1.6
},
{
"id": "80e40926-aff3-4512-ad1e-61b3741b2387",
"name": "设置 URL 和 Bright Data 区域",
"type": "n8n-nodes-base.set",
"position": [
420,
-420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
"name": "url",
"type": "string",
"value": "https://trends.google.com/trends/explore?gprop=youtube&hl=en-US"
},
{
"id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a60b2ac6-42c9-42af-a7fe-9cf570fcd017",
"name": "为 Markdown 到文本数据提取启动 Webhook 通知",
"type": "n8n-nodes-base.httpRequest",
"position": [
1320,
-720
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c8f9b2ad-8e66-43d0-aeb5-3f5e202910d3",
"name": "用于数据提取的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
948,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "30d3b080-d35a-422d-990d-0df0d73b96a8",
"name": "执行 Bright Data 网络请求",
"type": "n8n-nodes-base.httpRequest",
"position": [
640,
-420
],
"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 }}?product=unlocker&method=api"
},
{
"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": "18acbc0a-f0e2-4f5b-b98c-dec69c656a7e",
"name": "创建二进制数据",
"type": "n8n-nodes-base.function",
"position": [
1980,
-640
],
"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": "1c386966-85ae-4b30-a485-259f1eb0727b",
"name": "结构化数据提取器",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1280,
-420
],
"parameters": {
"text": "=Extract the Google Trend Data in JSON.\n\nHere's the content:\n\n {{ $json.text }}",
"options": {},
"schemaType": "manual",
"inputSchema": "{\n\t\"type\": \"array\",\n\t\"properties\": {\n\t\t\"topics\": {\n\t\t\t\"type\": \"string\"\n\t\t},\"desc\": {\n\t\t\t\"type\": \"string\"\n\t\t}\n\t}\n}"
},
"typeVersion": 1
},
{
"id": "aa7b5dd7-53c7-4197-b2e8-886832cad82e",
"name": "汇总 Google 趋势",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
1760,
-420
],
"parameters": {
"options": {},
"chunkingMode": "advanced"
},
"typeVersion": 2
},
{
"id": "25f0a115-ba3a-4ec6-8fe6-8e33e6302a2b",
"name": "为摘要生成启动 Webhook 通知",
"type": "n8n-nodes-base.httpRequest",
"position": [
2200,
-420
],
"parameters": {
"url": "https://webhook.site/3c36d7d1-de1b-4171-9fd3-643ea2e4dd76",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "content",
"value": "={{ $json.response.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "50b55d73-5506-439c-8e82-e198f3b4f431",
"name": "将文件写入磁盘",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2200,
-640
],
"parameters": {
"options": {},
"fileName": "d:\\google-trends.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "a163f8d3-2b5c-48a5-8a1d-26c0caba6383",
"name": "用于摘要生成的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1860,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "9e3db8e9-ad4c-4247-841e-1f5f4937b93c",
"name": "用于结构化数据提取的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1380,
-200
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "122d3269-e932-48e0-af01-e2c421650e16",
"name": "发送摘要到 Gmail",
"type": "n8n-nodes-base.gmail",
"position": [
2200,
-160
],
"webhookId": "a57ca2f7-42dc-4ee9-808d-85455bb7c12f",
"parameters": {
"sendTo": "ranjancse@gmail.com",
"message": "={{ $json.response.text }}",
"options": {},
"subject": "Google Trends Summary"
},
"credentials": {
"gmailOAuth2": {
"id": "WiMjt9PIpypF2dJF",
"name": "Gmail account"
}
},
"typeVersion": 2.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "bc73fbca-1218-47bd-93cf-b308b424894d",
"connections": {
"Create a binary data": {
"main": [
[
{
"node": "Write the file to disk",
"type": "main",
"index": 0
}
]
]
},
"Write the file to disk": {
"main": [
[]
]
},
"Summarize Google Trends": {
"main": [
[
{
"node": "Initiate a Webhook Notification for Summarization",
"type": "main",
"index": 0
},
{
"node": "Send Summary to Gmail",
"type": "main",
"index": 0
}
]
]
},
"Structured Data Extractor": {
"main": [
[
{
"node": "Create a binary data",
"type": "main",
"index": 0
},
{
"node": "Summarize Google Trends",
"type": "main",
"index": 0
}
]
]
},
"Set URL and Bright Data Zone": {
"main": [
[
{
"node": "Perform Bright Data Web Request",
"type": "main",
"index": 0
}
]
]
},
"Perform Bright Data Web Request": {
"main": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Set URL and Bright Data Zone",
"type": "main",
"index": 0
}
]
]
},
"Markdown to Textual Data Extractor": {
"main": [
[
{
"node": "Initiate a Webhook Notification for Markdown to Textual Data Extraction",
"type": "main",
"index": 0
},
{
"node": "Structured Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Data Extract": {
"ai_languageModel": [
[
{
"node": "Markdown to Textual Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Summarization": {
"ai_languageModel": [
[
{
"node": "Summarize Google Trends",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Structured Data Extract": {
"ai_languageModel": [
[
{
"node": "Structured Data Extractor",
"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 - 工程, 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和Google Gemini进行结构化数据提取和数据挖掘
使用Bright Data和Google Gemini进行结构化数据提取和数据挖掘
Set
Function
Http Request
+6
18 节点Ranjan Dailata
工程
使用Bright Data进行品牌内容提取、摘要与情感分析
使用Bright Data和Google Gemini提取和分析品牌内容
Set
Function
Http Request
+7
23 节点Ranjan Dailata
人工智能
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
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
Brave搜索结构化数据提取（Bright Data MCP + Google Gemini）
使用Bright Data MCP和Google Gemini从Brave搜索中提取结构化数据
Set
Switch
Function
+9
24 节点Ranjan Dailata
人工智能
通过Bright Data提取、总结和分析亚马逊产品降价情况
使用Bright Data和Google Gemini提取、总结和分析亚马逊降价信息
Set
Wait
Merge
+14
26 节点Ranjan Dailata
人工智能
