Davide Boizza This workflow corresponds to n8n.io template #15510 — we link there as the canonical source.
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 →
{
"id": "TaomO9wuriacMSOO",
"name": "Idealista Real Estate Listing Scraper",
"tags": [],
"nodes": [
{
"id": "cf17e9ac-aa94-45e0-8ce0-44b13cc6931a",
"name": "When clicking \u2018Execute workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1104,
1344
],
"parameters": {},
"typeVersion": 1
},
{
"id": "baa3c744-cecd-439b-894b-f34539faaf75",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-64,
1344
],
"parameters": {
"options": {
"reset": false
}
},
"typeVersion": 3
},
{
"id": "74377b43-5de0-419e-a0de-4168e11078de",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
-432,
1344
],
"parameters": {
"options": {},
"fieldToSplitOut": "generated_urls"
},
"typeVersion": 1
},
{
"id": "447e8948-d0bc-4168-9d32-3c94c6f86a15",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
336,
1040
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "urls"
}
]
}
},
"typeVersion": 1
},
{
"id": "fe22e2e4-7148-4149-a30d-b8017d9b77ef",
"name": "Split Out1",
"type": "n8n-nodes-base.splitOut",
"position": [
1008,
1040
],
"parameters": {
"options": {},
"fieldToSplitOut": "unified_urls"
},
"typeVersion": 1
},
{
"id": "8f2e2f93-3fcc-467d-b267-67b10c8768ea",
"name": "Limit",
"type": "n8n-nodes-base.limit",
"disabled": true,
"position": [
1264,
1040
],
"parameters": {
"maxItems": 3
},
"typeVersion": 1
},
{
"id": "366ac608-9b4e-49fa-81d4-8914bba4cecf",
"name": "Loop Over Items1",
"type": "n8n-nodes-base.splitInBatches",
"position": [
1552,
1024
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "2686ab7c-2522-4d12-8fb1-9e7509042011",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
992,
928
],
"parameters": {
"color": 7,
"width": 1488,
"height": 384,
"content": "## STEP 4 - extracts detailed property\nClone [this Sheet](https://docs.google.com/spreadsheets/d/1jtMyMglBbekD9Z407q8-0vn-cDDXhM81Uj1oAZIJGX8/edit?usp=sharing). Then processes each listing URL through another **ScrapegraphAI** node, which extracts detailed property data (title, description, price, area, bedrooms, bathrooms, floor, rooms, balcony, terrace, cellar, heating, air conditioning, image URLs) based on a JSON schema. "
},
"typeVersion": 1
},
{
"id": "d1cefccf-8d85-40ca-a950-8fb5b80ce9e3",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-976,
1152
],
"parameters": {
"color": 7,
"width": 496,
"height": 464,
"content": "## STEP 1 - Config Params\nEnter the GET pagination parameter with theri filters. For example, for idealista_it, if the paginated URL is:\n\n`https://www.idealista.it/vendita-case/verona-verona/\n\n"
},
"typeVersion": 1
},
{
"id": "2dea7a8b-94fb-429d-b501-debd117bd43e",
"name": "Set params",
"type": "n8n-nodes-base.set",
"position": [
-880,
1344
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d8af8b6b-d121-4887-a739-f6dbcd871802",
"name": "url",
"type": "string",
"value": "https://www.idealista.it/vendita-case/verona-verona/con-prezzo_500000,prezzo-min_200000,dimensione_80,quadrilocali-4,5-locali-o-piu,giardino,nuova-costruzione,buono-stato/"
},
{
"id": "1890a580-64ce-4530-96a1-72c5a7142672",
"name": "max_pages",
"type": "string",
"value": "2"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "36c4ebf7-f86d-4ce1-b86a-eae8d326eb18",
"name": "Generate Urls",
"type": "n8n-nodes-base.code",
"position": [
-656,
1344
],
"parameters": {
"jsCode": "for (const item of $input.all()) {\n \n const baseUrl = item.json.url;\n const maxPages = parseInt(item.json.max_pages, 10);\n const pageFormatValue=item.json.page_format_value;\n \n const urls = [];\n\n for (let i = 1; i <= maxPages; i++) {\n urls.push(`${baseUrl}lista-${i}.htm`);\n }\n\n item.json.generated_urls = urls;\n}\n\nreturn $input.all();\n"
},
"typeVersion": 2
},
{
"id": "002bd0e0-842a-4c81-8955-c1de907cf48f",
"name": "Scrape listings",
"type": "n8n-nodes-scrapegraphai.scrapegraphAi",
"position": [
272,
1648
],
"parameters": {
"formats": {
"format": [
{}
]
},
"fetchConfig": {}
},
"credentials": {
"scrapegraphAIApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "025c0e03-68af-474a-8160-c5b4b3dc60b2",
"name": "Unified",
"type": "n8n-nodes-base.code",
"position": [
752,
1040
],
"parameters": {
"jsCode": "const items = $input.all();\n\nconst unified = items\n .flatMap(item => item.json.urls || [])\n .flat();\n\nreturn [\n {\n json: {\n unified_urls: unified\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "e6c41c49-8ed5-4100-891f-0017ddbcdcf2",
"name": "Extract data",
"type": "n8n-nodes-scrapegraphai.scrapegraphAi",
"position": [
1904,
1040
],
"parameters": {
"formats": {
"format": [
{}
]
},
"fetchConfig": {}
},
"credentials": {
"scrapegraphAIApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "ea0ad648-fc85-4e44-b61b-1f14bf2a1042",
"name": "Update real estate listings",
"type": "n8n-nodes-base.googleSheets",
"position": [
2256,
1104
],
"parameters": {
"columns": {
"value": {
"URL": "={{ $json.website_url }}",
"AREA": "={{ $json.result.items[0].area }}",
"FLOOR": "={{ $json.result.items[0].floor }}",
"PROCE": "={{ $json.result.items[0].price }}",
"ROOMS": "={{ $json.result.items[0].rooms }}",
"TITLE": "={{ $json.result.items[0].title }}",
"CELLAR": "={{ $json.result.items[0].cellar }}",
"BALCONY": "={{ $json.result.items[0].balcony }}",
"HEATING": "={{ $json.result.items[0].heating }}",
"BEDROOMS": "={{ $json.result.items[0].bedrooms }}",
"TERRANCE": "={{ $json.result.items[0].terrace }}",
"BATHROOMS": "={{ $json.result.items[0].bathrooms }}",
"REFERENCE": "={{ $json.result.items[0].reference }}",
"IMAGE URLS": "={{ JSON.stringify($json.result.items[0].image_urls) }}",
"DESCRIPTION": "={{ $json.result.items[0].description }}",
"AIR_CONDITIONING": "={{ $json.result.items[0].air_conditioning }}"
},
"schema": [
{
"id": "URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TITLE",
"type": "string",
"display": true,
"required": false,
"displayName": "TITLE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "DESCRIPTION",
"type": "string",
"display": true,
"required": false,
"displayName": "DESCRIPTION",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "REFERENCE",
"type": "string",
"display": true,
"required": false,
"displayName": "REFERENCE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "PROCE",
"type": "string",
"display": true,
"required": false,
"displayName": "PROCE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "AREA",
"type": "string",
"display": true,
"required": false,
"displayName": "AREA",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "BEDROOMS",
"type": "string",
"display": true,
"required": false,
"displayName": "BEDROOMS",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "BATHROOMS",
"type": "string",
"display": true,
"required": false,
"displayName": "BATHROOMS",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "FLOOR",
"type": "string",
"display": true,
"required": false,
"displayName": "FLOOR",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ROOMS",
"type": "string",
"display": true,
"required": false,
"displayName": "ROOMS",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "BALCONY",
"type": "string",
"display": true,
"required": false,
"displayName": "BALCONY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TERRANCE",
"type": "string",
"display": true,
"required": false,
"displayName": "TERRANCE",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "CELLAR",
"type": "string",
"display": true,
"required": false,
"displayName": "CELLAR",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "HEATING",
"type": "string",
"display": true,
"required": false,
"displayName": "HEATING",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "AIR_CONDITIONING",
"type": "string",
"display": true,
"required": false,
"displayName": "AIR_CONDITIONING",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "IMAGE URLS",
"type": "string",
"display": true,
"required": false,
"displayName": "IMAGE URLS",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"URL"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1jtMyMglBbekD9Z407q8-0vn-cDDXhM81Uj1oAZIJGX8/edit#gid=0",
"cachedResultName": "Foglio1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1jtMyMglBbekD9Z407q8-0vn-cDDXhM81Uj1oAZIJGX8",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1jtMyMglBbekD9Z407q8-0vn-cDDXhM81Uj1oAZIJGX8/edit?usp=drivesdk",
"cachedResultName": "Real Estate listing"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 4.7
},
{
"id": "a7a0cf53-eee4-43ec-ac95-7d311956af05",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
256
],
"parameters": {
"width": 944,
"height": 624,
"content": "# Automate Idealista Real Estate Listing Property Scraper with ScrapeGraph AI and Google Sheets\nThis workflow automates the process of **scraping real estate property listings** from websites using **ScrapeGraph AI**, extracting structured data, and saving it to a **Google Sheet**. It is designed to handle paginated listing pages and can be adapted to any real estate site that uses URL parameters for pagination.\n\nNOTE:\nThis workflow has been tested with Idealista real estate website in Italy. However, it is designed to be adaptable by modifying the pagination parameter and the listing URL pattern, you can use it with **any real estate website** that structures its listings with URL-based pagination.\n\n### **How it works:**\n\nThe workflow operates in two structured phases: **listing URL discovery** and **data extraction & storage**. First, a Code node generates paginated listing URLs using a base URL, maximum page count, and pagination parameter. Each page is processed by **ScrapeGraphAI** to extract individual property URLs, which are validated and structured using a Google Gemini-powered Information Extractor. A Wait node controls request pacing, and looping ensures all pages are processed safely.\n\nIn the second phase, collected listing URLs are aggregated and iterated individually. ScrapeGraphAI extracts structured property data (price, area, rooms, features, images, etc.) according to a defined JSON schema. The results are written to **Google Sheets**, where records are deduplicated based on listing URL. The modular design enables scalability, schema customization, and storage replacement.\n\n### **Setup steps:**\n\nStart by importing the workflow into n8n and configuring required credentials: **ScrapeGraphAI API**, **Google Gemini API**, and **Google Sheets OAuth2**. Prepare a Google Sheet (or clone the template), then note the **Document ID** and **Sheet Name** for configuration.\n\nIn the **Set params** node, define the base listing URL and number of pages to scrape. If needed, update the listing URL pattern in the **Extract individual URL** node and adjust the JSON schema in the **Extract data** node to match your target fields. Finally, configure the Google Sheets node with correct column mappings, activate the workflow, and execute it to begin automated scraping and structured data collection.\n"
},
"typeVersion": 1
},
{
"id": "731db16d-3d66-4da4-96d1-4a72fecb85dd",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
208,
1536
],
"parameters": {
"color": 7,
"width": 704,
"height": 384,
"content": "## STEP 2 - Extract Urls\n\nAll collected listing URLs are aggregated and split into individual items.\n"
},
"typeVersion": 1
},
{
"id": "fcfe4d66-b1f1-4f3f-8d03-e33d3f507a04",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
16,
928
],
"parameters": {
"color": 7,
"width": 944,
"height": 384,
"content": "## STEP 3 - Extract Urls\n\nAll collected listing URLs are aggregated and split into individual items\n"
},
"typeVersion": 1
},
{
"id": "27acd568-2fbe-4173-ab65-3fd1a31c3b9c",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
688,
1648
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6a231f21-9dfd-495b-8f35-72ec6ce63839",
"name": "urls",
"type": "array",
"value": "={{ $json.result.listing_urls }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "909a1fe3-63d1-44d6-9325-233e7290575b",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1008,
144
],
"parameters": {
"color": 7,
"width": 736,
"height": 736,
"content": "## MY NEW YOUTUBE CHANNEL\n\ud83d\udc49 [Subscribe to my new **YouTube channel**](https://youtube.com/@n3witalia). Here I\u2019ll share videos and Shorts with practical tutorials and **FREE templates for n8n**.\n\n[](https://youtube.com/@n3witalia)"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "b5aba440-74f3-4d04-9432-e79a1d8e81a3",
"connections": {
"Limit": {
"main": [
[
{
"node": "Loop Over Items1",
"type": "main",
"index": 0
}
]
]
},
"Unified": {
"main": [
[
{
"node": "Split Out1",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Unified",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Set params": {
"main": [
[
{
"node": "Generate Urls",
"type": "main",
"index": 0
}
]
]
},
"Split Out1": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Extract data": {
"main": [
[
{
"node": "Update real estate listings",
"type": "main",
"index": 0
}
]
]
},
"Generate Urls": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
],
[
{
"node": "Scrape listings",
"type": "main",
"index": 0
}
]
]
},
"Scrape listings": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items1": {
"main": [
[],
[
{
"node": "Extract data",
"type": "main",
"index": 0
}
]
]
},
"Update real estate listings": {
"main": [
[
{
"node": "Loop Over Items1",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Set params",
"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.
googleSheetsOAuth2ApiscrapegraphAIApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow automates the process of scraping real estate listings from *Idealista (or similar property portals), extracting structured property data using AI, and storing the results directly into Google Sheets.
Source: https://n8n.io/workflows/15510/ — original creator credit. Request a take-down →
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