Google SERP追踪器+趋势与推荐（使用Bright Data和Google Gemini）
高级
这是一个AI, Marketing领域的自动化工作流，包含 23 个节点。主要使用 Set, Code, HttpRequest, ConvertToFile, 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搜索结果页面追踪、趋势分析和推荐
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 (23)
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": "77EZJT0bcpkDEigw",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Google SERP 追踪器 + 趋势与推荐（使用 Bright Data 和 Google Gemini）",
"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": "89c87a2f-ee34-47e4-8efd-a4a95d02b052",
"name": "当点击“测试工作流”时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-380,
-160
],
"parameters": {},
"typeVersion": 1
},
{
"id": "44ede7e3-f552-4a70-a538-9d124a4df315",
"name": "设置输入字段",
"type": "n8n-nodes-base.set",
"position": [
-120,
-160
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0ac91db2-9848-40d4-b942-cd7288597ded",
"name": "url",
"type": "string",
"value": "https://www.google.com/search"
},
{
"id": "7142f0df-3c68-4ce0-8e9b-25101db31312",
"name": "webhook_notification_url",
"type": "string",
"value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
},
{
"id": "f5b7e10d-bcd8-439c-8e84-ba4af11f2cd2",
"name": "search",
"type": "string",
"value": "best crm for the year 2025"
},
{
"id": "3a0bcec2-ec6d-457f-87a5-b73f4d826b2a",
"name": "zone",
"type": "string",
"value": "web_unlocker1"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "adb4eb44-ae8b-4a5e-bab8-afbf5b91e2a2",
"name": "执行 Bright Data Web 请求",
"type": "n8n-nodes-base.httpRequest",
"position": [
120,
-160
],
"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": "={{ $json.url }}?q={{ encodeURI($json.search) }}"
},
{
"name": "format",
"value": "raw"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "97f0a53c-81cb-4593-afde-d770547b88d0",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
-440
],
"parameters": {
"color": 5,
"width": 440,
"height": 240,
"content": "## LLM 使用"
},
"typeVersion": 1
},
{
"id": "ca10a555-a4ef-4a2b-8ad1-9abf0e02e2d8",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
-800
],
"parameters": {
"color": 7,
"width": 400,
"height": 340,
"content": "## 徽标"
},
"typeVersion": 1
},
{
"id": "1ccd35b4-d56a-4c42-88a1-59453a344700",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
-440
],
"parameters": {
"width": 400,
"height": 240,
"content": "## 注意"
},
"typeVersion": 1
},
{
"id": "f9b7f382-4a5a-4ddf-a62c-ee83af913a21",
"name": "Google 搜索数据提取器",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
340,
-160
],
"parameters": {
"text": "=Extract the following:\n\nRank (position in list)\n\nTitle\n\nURL\n\nSnippet/description\n\nType (organic/ads/map)\n\n{{ $json.data }}\n\nMake sure to return the data in JSON",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.7
},
{
"id": "f10a9a84-3e4c-4ac0-957e-7fc7308c9fda",
"name": "代码",
"type": "n8n-nodes-base.code",
"position": [
700,
-160
],
"parameters": {
"jsCode": "return $input.first().json.output.results"
},
"typeVersion": 2
},
{
"id": "d3621752-4837-4e6f-82af-953e98901b24",
"name": "遍历项目",
"type": "n8n-nodes-base.splitInBatches",
"position": [
920,
-160
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2f607774-34cf-4b0e-9384-f7214e0896e5",
"name": "趋势数据提取器",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1180,
-140
],
"parameters": {
"text": "=Extract the trends based on the title and spippet:\n\nTitle : {{ $json.title }}\nSnippet : {{ $json.snippet }}\n\nMake sure to return the data in JSON",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.7
},
{
"id": "551b645b-99d7-4824-ad69-290ea8105689",
"name": "用于 Google 搜索的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
340,
20
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "9bd32bc8-9452-4e6a-ac54-e3a1317d196e",
"name": "用于 Google 搜索的结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
520,
20
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"http://json-schema.org/schema#\",\n \"title\": \"Search Results Schema\",\n \"type\": \"object\",\n \"properties\": {\n \"results\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"required\": [\"rank\", \"title\", \"type\"],\n \"properties\": {\n \"rank\": {\n \"type\": \"integer\",\n \"minimum\": 1\n },\n \"title\": {\n \"type\": \"string\"\n },\n \"url\": {\n \"type\": \"string\",\n \"format\": \"uri\"\n },\n \"snippet\": {\n \"type\": \"string\"\n },\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"organic\", \"paid\", \"featured\"]\n }\n },\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"results\"],\n \"additionalProperties\": false\n}\n"
},
"typeVersion": 1.2
},
{
"id": "06d01c21-4054-4879-a060-70c1a1bac559",
"name": "用于趋势数据的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1180,
40
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "7c89ac87-28b1-47f3-9f04-b2c05b1a483a",
"name": "推荐数据提取器",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
1180,
-560
],
"parameters": {
"text": "=Provide recommendations based on the title and spippet:\n\nTitle : {{ $json.title }}\nSnippet : {{ $json.snippet }}\n\nMake sure to return the data in JSON",
"batching": {},
"promptType": "define",
"hasOutputParser": true
},
"retryOnFail": true,
"typeVersion": 1.7
},
{
"id": "f1f9cfac-28d0-40a9-9287-b11689570b53",
"name": "用于推荐的 Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1180,
-380
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"typeVersion": 1
},
{
"id": "c008d472-0982-4970-a017-73784c6916e7",
"name": "用于推荐的结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1360,
-380
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n \"title\": \"CRM Recommendations Schema\",\n \"type\": \"object\",\n \"properties\": {\n \"recommendations\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"type\": {\n \"type\": \"string\",\n \"enum\": [\"Software\", \"Action\", \"Consideration\", \"Research\", \"Focus\"],\n \"description\": \"The category or nature of the recommendation\"\n },\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Explanation or reason behind the recommendation\"\n },\n \"reason\": {\n \"type\": \"string\",\n \"description\": \"A detailed reason for recommendation (mainly used for Software type)\"\n }\n }\n }\n }\n },\n \"required\": [\"recommendations\"]\n}\n"
},
"typeVersion": 1.2
},
{
"id": "113b9477-cb62-47b9-8f43-f49247c7053d",
"name": "用于趋势数据的结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1360,
40
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"https://json-schema.org/schema\",\n \"title\": \"Trends Schema\",\n \"type\": \"object\",\n \"properties\": {\n \"trends\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"trend\": {\n \"type\": \"string\",\n \"description\": \"The name or label of the CRM trend\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"A short explanation of the trend\"\n }\n },\n \"required\": [\"trend\", \"description\"],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\"trends\"],\n \"additionalProperties\": false\n}\n"
},
"typeVersion": 1.2
},
{
"id": "6b6bb9f4-2836-469d-b81b-90cddf5d0d6c",
"name": "推荐代码",
"type": "n8n-nodes-base.code",
"position": [
1580,
-560
],
"parameters": {
"jsCode": "return $input.first().json.output.recommendations"
},
"typeVersion": 2
},
{
"id": "cb71a4e9-55ff-4194-8e5c-be96f3971a4e",
"name": "趋势代码",
"type": "n8n-nodes-base.code",
"position": [
1600,
-140
],
"parameters": {
"jsCode": "return $input.first().json.output.trends"
},
"typeVersion": 2
},
{
"id": "bfdac6af-7fa9-42d9-8931-029291202a35",
"name": "转换为趋势文件",
"type": "n8n-nodes-base.convertToFile",
"position": [
1840,
-140
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "28d26067-622b-4115-ab25-79bf8802acdd",
"name": "转换为推荐文件",
"type": "n8n-nodes-base.convertToFile",
"position": [
1820,
-560
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "0fb2daca-d998-432e-901a-001f750822db",
"name": "将趋势 CSV 文件写入磁盘",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2080,
-140
],
"parameters": {
"options": {},
"fileName": "=d:\\Google_SERP_Trends_Response_{{ new Date().toISOString().replace(/[:.]/g, '-')}}.csv",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "b0164de9-50a4-4aba-a680-a392eaba5765",
"name": "将推荐 CSV 文件写入磁盘",
"type": "n8n-nodes-base.readWriteFile",
"position": [
2060,
-560
],
"parameters": {
"options": {},
"fileName": "=d:\\Google_SERP_Recommendations_Response_{{ new Date().toISOString().replace(/[:.]/g, '-')}}.csv",
"operation": "write"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "7842a7f6-ab16-42c6-a209-1f313ed15376",
"connections": {
"Code": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Code for Trends": {
"main": [
[
{
"node": "Convert to File for Trends",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Trends Data Extractor",
"type": "main",
"index": 0
},
{
"node": "Recommendation Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"Set input fields": {
"main": [
[
{
"node": "Perform Bright Data Web Request",
"type": "main",
"index": 0
}
]
]
},
"Trends Data Extractor": {
"main": [
[
{
"node": "Code for Trends",
"type": "main",
"index": 0
}
]
]
},
"Code for Recommendations": {
"main": [
[
{
"node": "Convert to File for Recommendations",
"type": "main",
"index": 0
}
]
]
},
"Convert to File for Trends": {
"main": [
[
{
"node": "Write the trends csv file to disk",
"type": "main",
"index": 0
}
]
]
},
"Google Search Data Extractor": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Recommendation Data Extractor": {
"main": [
[
{
"node": "Code for Recommendations",
"type": "main",
"index": 0
}
]
]
},
"Perform Bright Data Web Request": {
"main": [
[
{
"node": "Google Search Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Set input fields",
"type": "main",
"index": 0
}
]
]
},
"Write the trends csv file to disk": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Convert to File for Recommendations": {
"main": [
[
{
"node": "Write the recommendations csv file to disk",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Trend Data": {
"ai_languageModel": [
[
{
"node": "Trends Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser for Trend Data": {
"ai_outputParser": [
[
{
"node": "Trends Data Extractor",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Google Search": {
"ai_languageModel": [
[
{
"node": "Google Search Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser for Google Search": {
"ai_outputParser": [
[
{
"node": "Google Search Data Extractor",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Recommendation": {
"ai_languageModel": [
[
{
"node": "Recommendation Data Extractor",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser for Recommendation": {
"ai_outputParser": [
[
{
"node": "Recommendation Data Extractor",
"type": "ai_outputParser",
"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。
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产品
工作流信息
难度等级
高级
节点数量23
分类2
节点类型11
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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