Guide
Learn how to scrape Idealista property listings, what data you can extract, why Idealista scraping is difficult, and how to use an Apify Actor instead of maintaining your own scraper.
Idealista is one of the most important real estate marketplaces in Southern Europe. If you work with property data in Spain, Italy, Portugal, or France, Idealista listings can help you monitor prices, compare neighborhoods, track inventory, and build real estate datasets for analysis.
But scraping Idealista manually is not simple. Search pages are paginated, listing details vary from property to property, and anti-bot systems can block basic scripts quickly.
This guide explains what an Idealista scraper does, what data you can extract, common use cases, and how to collect structured Idealista data without building and maintaining scraping infrastructure yourself.
An Idealista scraper is a tool that extracts property listing data from Idealista pages and converts it into structured records such as JSON, CSV, Excel, or API output.
Instead of opening every listing manually, copying prices into spreadsheets, and revisiting the same searches every day, a scraper can collect listings automatically from:
A production-ready Idealista scraper can turn a page of property listings into data you can analyze, export, schedule, or send to another system.
Idealista data is useful because it reflects active real estate supply across major European property markets.
Common use cases include:
For real estate teams, investors, analysts, relocation companies, and data teams, structured Idealista data can save hours of manual research.
Many tutorials show how to scrape Idealista with Python, BeautifulSoup, CSS selectors, or browser automation. Those examples can be useful for learning, but they often break when used at scale.
The main challenges are:
Idealista may block simple HTTP requests, suspicious browser sessions, or traffic patterns that look automated. A basic script can run into verification pages, failed requests, redirects, or incomplete HTML.
Real estate marketplaces often behave differently depending on country, language, and IP location. If your target is Spain, Italy, Portugal, or France, your scraper needs to handle localized pages reliably.
Search pages are spread across multiple pages. A good scraper needs to paginate through results, stop correctly, avoid duplicates, and respect a maximum result limit.
Not every listing has the same fields. Some properties include coordinates, detailed descriptions, extra images, floor plans, agency metadata, or feature flags. Others may be missing bathrooms, media, exact address, or contact-related fields.
HTML structures change. Selectors break. Anti-bot systems evolve. If you build your own scraper, maintenance becomes part of the job.
That is why many teams prefer a ready-made Apify Actor for Idealista scraping instead of maintaining custom code.
A good Idealista scraper should return clean, structured property records. Depending on the listing and selected settings, you can extract fields such as:
Here is an example of the kind of structured output you can use in your own workflows:
{
"id": "35585970",
"propertyCode": "35585970",
"url": "https://www.idealista.it/immobile/35585970/",
"country": "it",
"operation": "sale",
"propertyType": "chalet",
"price": 37000,
"currency": "EUR",
"size": 172,
"rooms": 6,
"bathrooms": 2,
"address": "Detached house in Località Scabbiabella, 24, Torriglia",
"municipality": "Torriglia",
"province": "Genova",
"latitude": 44.5184183,
"longitude": 9.1172171,
"description": "Scabbiabella – Semi-detached two-level house...",
"sourceUrl": "https://www.idealista.it/en/vendita-case/genova-provincia/",
"scrapedAt": "2026-07-11T14:14:42.211Z",
"status": "success"
}If you want structured Idealista data without building a scraper from scratch, use the Idealista Scraper by Epic Scrapers.
This Apify Actor lets you scrape Idealista property listings from Spain, Italy, Portugal, and France. You can start from an Idealista search URL, scrape an individual listing URL, or search by location and filters.
Use this method when you already have the exact Idealista page you want to monitor.
Example input:
{
"startUrls": [
{
"url": "https://www.idealista.it/vendita-case/genova-provincia/"
}
],
"maxResults": 100,
"includeDetails": true,
"includeMultimedia": true
}Use this method when you want to configure the search directly in the Actor.
Example input:
{
"country": "it",
"operation": "sale",
"propertyType": "homes",
"locationQuery": "Genova",
"maxResults": 100,
"minPrice": 100000,
"maxPrice": 400000,
"minRooms": 2,
"includeDetails": true
}This is useful for repeatable workflows where you want to run the same search daily, weekly, or hourly.
The Actor supports Idealista pages for:
es)it)pt)fr)Supported property types include:
You can use it for both sale and rent searches.
Building your own scraper can make sense if you are learning web scraping or need a very small one-off script. However, for recurring data collection, a ready-made Actor is usually faster and more reliable.
| Approach | Best for | Tradeoff |
|---|---|---|
| Custom Python script | Learning, experiments, very small jobs | You maintain selectors, retries, proxies, anti-bot handling, exports, and scheduling |
| Generic scraping API | Teams with existing scraper infrastructure | You still need to build parsers, pagination, storage, and monitoring |
| Apify Idealista Scraper | Fast structured data extraction | Use a ready-made Actor and focus on using the data |
If your goal is to get Idealista data into a spreadsheet, database, dashboard, or API workflow, the Apify Actor is the practical shortcut.
One of the most valuable use cases is scheduled monitoring.
Instead of scraping once, you can run the same search repeatedly and build a time-series dataset of listings.
Examples:
With Apify, you can save an Actor task, schedule it, and connect the dataset output to your preferred destination.
After a run finishes, Apify stores the results in a dataset. You can export the data as:
You can also access results programmatically through the Apify API, which makes it easy to integrate Idealista data with Python scripts, backend services, BI tools, or automation platforms.
Idealista does not provide a simple public property listings API for most data extraction workflows. If you need structured property data, scraping or a ready-made data extraction tool is typically used.
Scraping public web data can be legal, but you should use the data responsibly, avoid excessive requests, and comply with applicable laws such as GDPR. Be especially careful with personal data or contact information.
Yes. With the Epic Scrapers Actor, you can paste an individual Idealista listing URL and extract structured property details.
Yes. The easiest method is to apply filters on Idealista, copy the resulting search URL, and paste it into the Actor.
Yes. Apify supports scheduled runs, so you can monitor the same search over time and collect fresh listings automatically.
Yes. Apify datasets can be exported to CSV, Excel, JSON, and other formats.
If you need property data from Spain, Italy, Portugal, or France, you do not have to build and maintain your own scraper.
Use the Idealista Scraper by Epic Scrapers to extract structured listings, export clean datasets, and automate recurring real estate monitoring with Apify.