🌳 EU-Grüne-Vorschriften-Tracker (GPT-4o, Google Sheets und Aufgaben)
Dies ist ein Other, AI-Bereich Automatisierungsworkflow mit 17 Nodes. Hauptsächlich werden If, Set, Html, Merge, GoogleTasks und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. 🌳 EU-Grün-Dauernachverfolger mit GPT-4o, Google Tabellen und Aufgabenfunktionen
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Sheets API-Anmeldedaten
- •OpenAI API Key
Verwendete Nodes (17)
Kategorie
{
"meta": {
"instanceId": "="
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"nodes": [
{
"id": "4dfef9cb-d66a-4818-b5b2-6be81f0bd7c3",
"name": "Über Elemente iterieren",
"type": "n8n-nodes-base.splitInBatches",
"position": [
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500
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"parameters": {
"options": {}
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"typeVersion": 3
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{
"id": "3fd73086-62cc-49c4-9c56-b2467a27601c",
"name": "Zusammenführen",
"type": "n8n-nodes-base.merge",
"position": [
1980,
360
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"parameters": {
"mode": "combineBySql"
},
"notesInFlow": true,
"typeVersion": 3
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{
"id": "a894cc7b-7e2c-40af-bbdd-de03c9fdf71c",
"name": "Wenn",
"type": "n8n-nodes-base.if",
"position": [
2200,
440
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"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
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"combinator": "and",
"conditions": [
{
"id": "e3956615-6ad2-4df7-a15f-63f1f21d10fe",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.sustainability }}",
"rightValue": "yes"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "b1b1616c-68f7-4911-b58d-8792ac4e822c",
"name": "Datensätze von gestern extrahieren",
"type": "n8n-nodes-base.httpRequest",
"position": [
280,
500
],
"parameters": {
"url": "=https://oeil.secure.europarl.europa.eu/oeil/en/search?sessionDay.allDays=false&sessionDay.day={{$now.minus(18,'days').format('yyyyMMdd')}}&sessionDay.type=ALL",
"options": {}
},
"notesInFlow": true,
"typeVersion": 4.2
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{
"id": "707ae04c-51d3-4547-9868-1c603d359cc0",
"name": "Haftnotiz1",
"type": "n8n-nodes-base.stickyNote",
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"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": "HTML-Blöcke extrahieren",
"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": "Blöcke parsen",
"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": "Haftnotiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
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"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": "Haftnotiz2",
"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
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"id": "9d27672c-2434-46d3-ae52-e0ba07b3a181",
"name": "Haftnotiz3",
"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": "Bei Klick auf 'Workflow testen'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
60,
500
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ff6f948b-9db4-479d-afab-3db6176abad6",
"name": "Klassifizierungs-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": "Antwort sammeln",
"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": "Nachhaltigkeitsverfahren aufzeichnen",
"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": "Links bearbeiten",
"type": "n8n-nodes-base.set",
"position": [
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"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": "Haftnotiz4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2660,
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],
"parameters": {
"width": 460,
"height": 340,
"content": "\n[🎥 Check My Tutorial](https://www.youtube.com/watch?v=f_nyArpH6kk)"
},
"typeVersion": 1
}
],
"pinData": {},
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}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Sonstiges, Künstliche Intelligenz
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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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
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