This workflow follows the Google Sheets → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"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 \u2018Test workflow\u2019",
"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": {
"name": "<your credential>"
}
},
"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[\ud83c\udfa5 Check My Tutorial](https://www.youtube.com/watch?v=f_nyArpH6kk)"
},
"typeVersion": 1
}
],
"connections": {
"If": {
"main": [
[
{
"node": "Record Sustainability Procedures",
"type": "main",
"index": 0
},
{
"node": "Google Tasks",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Edit Links": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Google Tasks": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Parse Blocks": {
"main": [
[
{
"node": "Edit Links",
"type": "main",
"index": 0
}
]
]
},
"Collect Answer": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Classification Agent",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Extract HTML Blocks": {
"main": [
[
{
"node": "Parse Blocks",
"type": "main",
"index": 0
}
]
]
},
"Classification Agent": {
"main": [
[
{
"node": "Collect Answer",
"type": "main",
"index": 0
}
]
]
},
"Extract Yesterday Records": {
"main": [
[
{
"node": "Extract HTML Blocks",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Extract Yesterday Records",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleSheetsOAuth2Api
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow streamlines the extraction and processing of historical Google Tasks data by fetching yesterday's records via HTTP requests and parsing them into structured formats, saving you hours of manual review and ensuring you stay on top of completed or overdue items without sifting through cluttered interfaces. It's ideal for project managers or teams relying on Google Tasks for task tracking, particularly when integrated with Google Sheets for easy export and analysis. The key step involves using splitInBatches to loop through items efficiently, followed by HTTP requests to pull targeted data and HTML parsing to clean and organise the results, with OpenAI nodes enhancing insights through summarisation.
Use this workflow when you need automated daily summaries of Google Tasks activity to inform reports or team updates, especially in event-driven setups like scheduled runs. Avoid it for real-time task creation or if your data volume is too small for batch processing, as simpler manual exports suffice then. Common variations include adding filters in the If node for specific task categories or linking outputs directly to Google Sheets for collaborative dashboards.
About this workflow
Googletasks Http. Uses splitInBatches, httpRequest, stickyNote, html. Event-driven trigger; 17 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This template can be used to find the content gaps in your competitors' discourse: identifying the topics they are not yet connecting and giving you an opportunity to fill in this gap with your conten
HTTP Request, Html Extract, Google Docs +3
Wait Code. Uses manualTrigger, httpRequest, htmlExtract, openAi. Event-driven trigger; 11 nodes.
HTTP Request, Html Extract, OpenAI +1
Enrich your company lists with OpenAI GPT-3 ↓
HTTP Request, Html Extract, OpenAI +1
This workflow automates SEO analysis by comparing your website with a competitor’s site. It reads input URLs from Google Sheets, scrapes structured SEO data from both sites, and expands into important
Google Sheets, HTTP Request, Google Gemini
Fully automated meeting documentation workflow that uses AI to transform raw transcripts into professional PDFs and actionable tasks. AI-powered summary generation (GPT-4) Automatic action item extrac
OpenAI, N8N Nodes Htmlcsstopdf, Gmail +4