使用Google Gemini和Bright Data网络爬虫汇总Glassdoor公司信息
中级
这是一个HR, AI领域的自动化工作流，包含 14 个节点。主要使用 If, Set, Wait, HttpRequest, ManualTrigger 等节点，结合人工智能技术实现智能自动化。 使用Google Gemini和Bright Data网络爬虫汇总Glassdoor公司信息
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 (14)
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": "DRjTkkZrfqMbhifO",
"meta": {
"instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
"templateCredsSetupCompleted": true
},
"name": "Summarize Glassdoor Company Info with Google Gemini and Bright Data Web Scraper",
"tags": [
{
"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": "b2f9fc15-9ccb-48be-ba3c-3a6033c39246",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
0,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "72ab6042-72f1-486e-9095-d17de2f441f4",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"notes": "Gemini Experimental Model",
"position": [
1320,
-180
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-thinking-exp-01-21"
},
"credentials": {
"googlePalmApi": {
"id": "YeO7dHZnuGBVQKVZ",
"name": "Google Gemini(PaLM) Api account"
}
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "58ac3287-2b92-4f09-85a3-9d5393dd9d2a",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1440,
-177.5
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "ad734713-959c-4e09-ac19-4df6b102678e",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1528,
20
],
"parameters": {
"options": {},
"chunkOverlap": 100
},
"typeVersion": 1
},
{
"id": "350d4391-4ac2-469e-87ce-e3b84926f350",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
880,
-350
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6a7e5360-4cb5-4806-892e-5c85037fa71c",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "ready"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "43449263-a73e-4d49-8c0f-3d36569e1d65",
"name": "Set Snapshot Id",
"type": "n8n-nodes-base.set",
"position": [
440,
-275
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2c3369c6-9206-45d7-9349-f577baeaf189",
"name": "snapshot_id",
"type": "string",
"value": "={{ $json.snapshot_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "040aae51-d79d-408c-9d03-b6b81ed9e752",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-580
],
"parameters": {
"width": 400,
"height": 200,
"content": "## Note\n\nDeals with the Glassdoor data extraction by using the Bright Data Web Scrapper API.\n\nThe summarization chain is being used to demonstrate the usage of the N8N AI capabilities."
},
"typeVersion": 1
},
{
"id": "885986ae-e9e6-48fe-816c-e8fd6f549158",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
-580
],
"parameters": {
"width": 420,
"height": 200,
"content": "## LLM Usages\n\nGoogle Gemini Flash Exp model is being used.\n\nSummarization Chain is being used for summarization of the content"
},
"typeVersion": 1
},
{
"id": "165e3335-cc5e-49d1-9eb5-7f196c5669aa",
"name": "Check Snapshot Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
660,
-280
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
"options": {},
"sendHeaders": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "b0125317-c557-4c38-b9b8-97528a75acb1",
"name": "Download the Snapshot Response",
"type": "n8n-nodes-base.httpRequest",
"position": [
1100,
-400
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $('HTTP Request to Glassdoor').item.json.snapshot_id }}",
"options": {
"timeout": 10000
},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "format",
"value": "json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "ec6a6d52-0e67-4100-9b7a-966029628d8e",
"name": "Wait for 30 seconds",
"type": "n8n-nodes-base.wait",
"position": [
1100,
-175
],
"webhookId": "8f2ad619-abe4-4e4e-8de7-9046d4cf3082",
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "0d77c2a9-b820-4943-a215-3f3663842b92",
"name": "Summarization of Glassdoor Response",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
1336,
-400
],
"parameters": {
"options": {},
"operationMode": "documentLoader"
},
"typeVersion": 2
},
{
"id": "f3753c8f-bd1d-454a-b77e-b2237030219d",
"name": "Configure Webhook Notification",
"type": "n8n-nodes-base.httpRequest",
"position": [
1720,
-400
],
"parameters": {
"url": "https://webhook.site/ce41e056-c097-48c8-a096-9b876d3abbf7",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "summary",
"value": "={{ $json.response.text }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "d5cfc596-c2b8-486f-b410-8d537fca1cf6",
"name": "HTTP Request to Glassdoor",
"type": "n8n-nodes-base.httpRequest",
"position": [
220,
0
],
"parameters": {
"url": "https://api.brightdata.com/datasets/v3/trigger",
"method": "POST",
"options": {},
"jsonBody": "[\n {\n \"url\": \"https://www.glassdoor.co.uk/Overview/Working-at-Apple-EI_IE1138.11,16.htm\"\n }\n]",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_l7j0bx501ockwldaqf"
},
{
"name": "include_errors",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "kdbqXuxIR8qIxF7y",
"name": "Header Auth account"
}
},
"typeVersion": 4.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "50a2d845-ec43-4b97-8425-36105a8a8178",
"connections": {
"If": {
"main": [
[
{
"node": "Download the Snapshot Response",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for 30 seconds",
"type": "main",
"index": 0
}
]
]
},
"Set Snapshot Id": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Summarization of Glassdoor Response",
"type": "ai_document",
"index": 0
}
]
]
},
"Wait for 30 seconds": {
"main": [
[
{
"node": "Check Snapshot Status",
"type": "main",
"index": 0
}
]
]
},
"Check Snapshot Status": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Summarization of Glassdoor Response",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"HTTP Request to Glassdoor": {
"main": [
[
{
"node": "Set Snapshot Id",
"type": "main",
"index": 0
}
]
]
},
"Download the Snapshot Response": {
"main": [
[
{
"node": "Summarization of Glassdoor Response",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "HTTP Request to Glassdoor",
"type": "main",
"index": 0
}
]
]
},
"Summarization of Glassdoor Response": {
"main": [
[
{
"node": "Configure Webhook Notification",
"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？
中级 - 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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