🌳 欧盟绿色法规追踪器(GPT-4o、Google Sheets 和任务)
高级
这是一个Other, AI领域的自动化工作流,包含 17 个节点。主要使用 If, Set, Html, Merge, GoogleTasks 等节点,结合人工智能技术实现智能自动化。 🌳 使用 GPT-4o、Google Sheets 和任务功能的欧盟绿色法规追踪器
前置要求
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
- •OpenAI API Key
使用的节点 (17)
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
{
"meta": {
"instanceId": "="
},
"nodes": [
{
"id": "4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1160,
500
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "3fd73086-62cc-49c4-9c56-b2467a27601c",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1980,
360
],
"parameters": {
"mode": "combineBySql"
},
"notesInFlow": true,
"typeVersion": 3
},
{
"id": "a894cc7b-7e2c-40af-bbdd-de03c9fdf71c",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
2200,
440
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "e3956615-6ad2-4df7-a15f-63f1f21d10fe",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.sustainability }}",
"rightValue": "yes"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "b1b1616c-68f7-4911-b58d-8792ac4e822c",
"name": "Extract Yesterday Records",
"type": "n8n-nodes-base.httpRequest",
"position": [
280,
500
],
"parameters": {
"url": "=https://oeil.secure.europarl.europa.eu/oeil/en/search?sessionDay.allDays=false&sessionDay.day={{$now.minus(18,'days').format('yyyyMMdd')}}&sessionDay.type=ALL",
"options": {}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "707ae04c-51d3-4547-9868-1c603d359cc0",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 7,
"width": 1080,
"height": 660,
"content": "### 1. First Block: scrape the page to extract all the legislative procedures scheduled for debate yesterday\nThis workflow sends an HTTP request to collect the HTML of the page by block. For each block we extract the information of the procedures: **Reference Number**. **Committee**, **Rapporteur**, **Title/Description**, **PDF Link**.\n\n#### How to setup?\n*Nothing to do*\n"
},
"typeVersion": 1
},
{
"id": "721a14b6-c860-431e-8475-b877d5a83768",
"name": "Extract HTML Blocks",
"type": "n8n-nodes-base.html",
"position": [
500,
500
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "Blocks",
"cssSelector": ".erpl_document-wrapper",
"returnArray": true,
"returnValue": "html"
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "fe609066-0f08-40b7-b8a8-13acd8338468",
"name": "Parse Blocks",
"type": "n8n-nodes-base.html",
"position": [
720,
500
],
"parameters": {
"options": {},
"operation": "extractHtmlContent",
"dataPropertyName": "Blocks",
"extractionValues": {
"values": [
{
"key": "Reference Number",
"cssSelector": "h3 span.t-item"
},
{
"key": "Committee",
"cssSelector": "span.erpl_badge-committee"
},
{
"key": "Rapporteur",
"cssSelector": "span.erpl_document-subtitle-author"
},
{
"key": "Title/Description",
"cssSelector": "div.erpl_document-body p"
},
{
"key": "PDF Link\t",
"attribute": "href",
"cssSelector": "a.erpl_document-subtitle-pdf",
"returnValue": "attribute"
},
{
"key": "Date",
"cssSelector": "div.mt-1 p"
}
]
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "75770b01-0c98-4077-97d7-3bbc82166372",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
0
],
"parameters": {
"color": 7,
"width": 1020,
"height": 660,
"content": "### 2. Use a LLM to keep only the procedures related to sustainability\nWe loop though all items parsed and we provide the description and the committee to a LLM (Open AI). The LLM will use these information to assess if the procedure is related to **sustainability** or not.\n\n#### How to setup?\n\n- **Open AI Node**:\n 1. Add the required credentials Open AI credentials and select the model *(Example: Open AI 4o-mini)*\n 2. Adapt the system prompt with the topic you want to filter out or keep.\n [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n"
},
"typeVersion": 1
},
{
"id": "bfdc9844-7d9c-4582-83bb-9e945276864e",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
2140,
20
],
"parameters": {
"color": 7,
"width": 500,
"height": 660,
"content": "### 3. Topics related to sustainability are stored in a Google Sheet\nThe output of the LLM is combined with the other fields. A IF node filters out all the procedure not related to sustainability. The remaining items are loaded in a Google Sheet.\n\n#### How to setup?\n\n- **Record outputs in the Google Sheet Node**:\n 1. Add your Google Sheet API credentials to access the Google Sheet file\n 2. Select the file using the list, an URL or an ID\n 3. Select the sheet in which you want to record your working sessions\n 4. Map the fields: **Reference Number**. **Committee**, **Rapporteur**, **Title/Description**, **PDF Link**\n [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\n"
},
"typeVersion": 1
},
{
"id": "38a6d477-0a95-4177-a5d4-10f4c97bcf0c",
"name": "Google Tasks",
"type": "n8n-nodes-base.googleTasks",
"position": [
2400,
940
],
"parameters": {
"task": "MTIxODU0NDk4MzM3NzAxMTQ0NzY6MDow",
"title": "=Study {{ $json['Reference Number'] }} - EU Legislation",
"additionalFields": {
"notes": "=Title: {{ $json['Title/Description'] }}\nReference Number: {{ $json['Reference Number'] }}\nCommittee: {{ $json.Committee }}\nRapporteur: {{ $json.Rapporteur }}\nPDF Link: {{ $json['PDF Link\t'] }}\nDate: {{ $json.Date }}",
"status": "needsAction"
}
},
"typeVersion": 1
},
{
"id": "9d27672c-2434-46d3-ae52-e0ba07b3a181",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2140,
700
],
"parameters": {
"color": 7,
"width": 500,
"height": 440,
"content": "### 4. Create Sustainability Study Task\nCreate a Google Task for each EU legislative file related to sustainability, scheduled for tomorrow at 09:00 AM.\n#### How to setup?\n\n- **Add a task in Google Task**:\n 1. Add your Google Task API credentials to access your task list\n 2. Change the Task List name\n [Learn more about the Google Task Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googletasks)\n"
},
"typeVersion": 1
},
{
"id": "8196fd1c-3223-402b-935b-a6a135795999",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
60,
500
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ff6f948b-9db4-479d-afab-3db6176abad6",
"name": "Classification Agent",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1380,
280
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4-turbo",
"cachedResultName": "GPT-4-TURBO"
},
"options": {},
"messages": {
"values": [
{
"content": "=Is the following legislative document related to sustainability? Answer \"yes\" or \"no\".\n\nTitle: {{ $json['Title/Description'] }}\nCommittee: {{ $json[\"Committee\"] }}\n\nBe strict: Only answer \"yes\" if the topic directly impacts environmental or climate sustainability, circular economy, resource conservation, or pollution reduction.\n"
},
{
"role": "system",
"content": "Sample output:\n{\"answer\": \"yes\"}\n"
}
]
},
"jsonOutput": true
},
"typeVersion": 1.8
},
{
"id": "01379394-a5e9-4673-bc0e-225e2d3f5214",
"name": "Collect Answer",
"type": "n8n-nodes-base.set",
"position": [
1760,
280
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "19b1ea4c-3c78-4473-9f16-17d37b273735",
"name": "sustainability",
"type": "string",
"value": "={{ $json.message.content.answer }}"
}
]
}
},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "8f96dfd0-0a38-435c-83a0-7649b350f813",
"name": "Record Sustainability Procedures",
"type": "n8n-nodes-base.googleSheets",
"position": [
2420,
380
],
"parameters": {
"columns": {
"value": {
"Date": "={{ $json.Date }}",
"PDF Link": "={{ $json['PDF Link\t'] }}",
"Committee": "={{ $json.Committee }}",
"Rapporteur": "={{ $json.Rapporteur }}",
"Reference Number": "={{ $json['Reference Number'] }}",
"Title/Description": "={{ $json['Title/Description'] }}"
},
"schema": [
{
"id": "Reference Number",
"type": "string",
"display": true,
"required": false,
"displayName": "Reference Number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Committee",
"type": "string",
"display": true,
"required": false,
"displayName": "Committee",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Rapporteur",
"type": "string",
"display": true,
"required": false,
"displayName": "Rapporteur",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title/Description",
"type": "string",
"display": true,
"required": false,
"displayName": "Title/Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "PDF Link",
"type": "string",
"display": true,
"required": false,
"displayName": "PDF Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "=",
"cachedResultName": "EU Legislative Procedure"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "=",
"cachedResultUrl": "=",
"cachedResultName": "Sustainability Content"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "rnPYZIig8l6seOd5",
"name": "Google Sheets Temporary"
}
},
"notesInFlow": true,
"typeVersion": 4.5
},
{
"id": "c2cf974e-f182-48f8-9d26-8aea4dbdf486",
"name": "Edit Links",
"type": "n8n-nodes-base.set",
"position": [
940,
500
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7a802593-2b9b-42fe-bd0c-66e11510834a",
"name": "PDF Link\t",
"type": "string",
"value": "=https://oeil.secure.europarl.europa.eu{{ $json['PDF Link\t'] }}"
}
]
},
"includeOtherFields": true
},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "bdc398f0-a882-4fbe-ac37-7ca7e15a1081",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2660,
20
],
"parameters": {
"width": 460,
"height": 340,
"content": "\n[🎥 Check My Tutorial](https://www.youtube.com/watch?v=f_nyArpH6kk)"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"a894cc7b-7e2c-40af-bbdd-de03c9fdf71c": {
"main": [
[
{
"node": "8f96dfd0-0a38-435c-83a0-7649b350f813",
"type": "main",
"index": 0
},
{
"node": "38a6d477-0a95-4177-a5d4-10f4c97bcf0c",
"type": "main",
"index": 0
}
],
[
{
"node": "4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3",
"type": "main",
"index": 0
}
]
]
},
"3fd73086-62cc-49c4-9c56-b2467a27601c": {
"main": [
[
{
"node": "a894cc7b-7e2c-40af-bbdd-de03c9fdf71c",
"type": "main",
"index": 0
}
]
]
},
"c2cf974e-f182-48f8-9d26-8aea4dbdf486": {
"main": [
[
{
"node": "4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3",
"type": "main",
"index": 0
}
]
]
},
"38a6d477-0a95-4177-a5d4-10f4c97bcf0c": {
"main": [
[
{
"node": "4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3",
"type": "main",
"index": 0
}
]
]
},
"fe609066-0f08-40b7-b8a8-13acd8338468": {
"main": [
[
{
"node": "c2cf974e-f182-48f8-9d26-8aea4dbdf486",
"type": "main",
"index": 0
}
]
]
},
"01379394-a5e9-4673-bc0e-225e2d3f5214": {
"main": [
[
{
"node": "3fd73086-62cc-49c4-9c56-b2467a27601c",
"type": "main",
"index": 1
}
]
]
},
"4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3": {
"main": [
[],
[
{
"node": "ff6f948b-9db4-479d-afab-3db6176abad6",
"type": "main",
"index": 0
},
{
"node": "3fd73086-62cc-49c4-9c56-b2467a27601c",
"type": "main",
"index": 0
}
]
]
},
"721a14b6-c860-431e-8475-b877d5a83768": {
"main": [
[
{
"node": "fe609066-0f08-40b7-b8a8-13acd8338468",
"type": "main",
"index": 0
}
]
]
},
"ff6f948b-9db4-479d-afab-3db6176abad6": {
"main": [
[
{
"node": "01379394-a5e9-4673-bc0e-225e2d3f5214",
"type": "main",
"index": 0
}
]
]
},
"b1b1616c-68f7-4911-b58d-8792ac4e822c": {
"main": [
[
{
"node": "721a14b6-c860-431e-8475-b877d5a83768",
"type": "main",
"index": 0
}
]
]
},
"8196fd1c-3223-402b-935b-a6a135795999": {
"main": [
[
{
"node": "b1b1616c-68f7-4911-b58d-8792ac4e822c",
"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 - 其他, 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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工作流信息
难度等级
高级
节点数量17
分类2
节点类型11
作者
Samir Saci
@samirsaciAutomation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci
外部链接
在 n8n.io 查看 →
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