How to Scrape Idealista: The Ultimate Technical Guide (2025)
Learn how to scrape Idealista.com for real estate listings, prices, and market trends. Our guide covers bypassing DataDome, using stealth browsers, and API...
Anti-Bot Protection Detected
- DataDome
- Real-time bot detection with ML models. Analyzes device fingerprint, network signals, and behavioral patterns. Common on e-commerce sites.
- Cloudflare
- Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
- Google reCAPTCHA
- Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
- Browser Fingerprinting
- Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.
About Idealista
Learn what Idealista offers and what valuable data can be extracted from it.
About Idealista
Idealista is the leading real estate platform in Southern Europe, serving as the dominant marketplace for property listings in Spain, Italy, and Portugal. Since its founding in 2000, it has become the equivalent of Zillow for the Mediterranean region, hosting millions of records for residential and commercial properties available for sale or rent.
Data Availability
The platform contains high-fidelity data including listing prices, price per square meter, property dimensions, energy efficiency ratings, and detailed geographical data down to the neighborhood level. It also serves as a critical repository for seller information, allowing users to distinguish between private individuals and professional real estate agencies.
Why Scrape This Data?
Scraping Idealista is essential for real estate investors, data analysts, and agencies who require real-time market insights. The data enables precise property valuation, competitive price monitoring, and the identification of high-yield investment opportunities before they reach the broader market. Accessing this information programmatically is the gold standard for high-frequency market research in Europe.
Why Scrape Idealista?
Discover the business value and use cases for extracting data from Idealista.
Conduct real-time market analysis to determine accurate property valuations.
Identify undervalued properties by tracking price per square meter deviations.
Generate high-quality leads by filtering for private sellers (Particular).
Monitor competitor agency inventory and pricing strategies automatically.
Build historical price databases to predict seasonal market trends.
Alert investors to significant price drops in specific high-demand districts.
Scraping Challenges
Technical challenges you may encounter when scraping Idealista.
Aggressive DataDome protection that detects and blocks standard headless browsers.
A strict 1,800 listing limit per search query which requires granular filtering.
Immediate blacklisting of datacenter IP addresses via Cloudflare WAF.
Dynamic JavaScript rendering required to access property details and images.
Anti-scraping traps like honeypot links and frequent CSS selector rotations.
Scrape Idealista with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
Describe What You Need
Tell the AI what data you want to extract from Idealista. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates Idealista, handles dynamic content, and extracts exactly what you asked for.
Get Your Data
Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why Use AI for Scraping
AI makes it easy to scrape Idealista without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.
How to scrape with AI:
- Describe What You Need: Tell the AI what data you want to extract from Idealista. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates Idealista, handles dynamic content, and extracts exactly what you asked for.
- Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
- Bypasses DataDome and Cloudflare protection automatically without manual configuration.
- Requires zero coding knowledge to build complex multi-page scraping workflows.
- Handles cloud-based execution with scheduled runs to track daily price changes.
- Directly exports structured real estate data to Google Sheets or Webhooks.
- Visual selector allows for easy adjustments when the website layout changes.
No-Code Web Scrapers for Idealista
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Idealista. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
Common Challenges
Learning curve
Understanding selectors and extraction logic takes time
Selectors break
Website changes can break your entire workflow
Dynamic content issues
JavaScript-heavy sites often require complex workarounds
CAPTCHA limitations
Most tools require manual intervention for CAPTCHAs
IP blocking
Aggressive scraping can get your IP banned
No-Code Web Scrapers for Idealista
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Idealista. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- Export data to CSV, JSON, or connect via API
Common Challenges
- Learning curve: Understanding selectors and extraction logic takes time
- Selectors break: Website changes can break your entire workflow
- Dynamic content issues: JavaScript-heavy sites often require complex workarounds
- CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
- IP blocking: Aggressive scraping can get your IP banned
Code Examples
import requests
from bs4 import BeautifulSoup
# Idealista uses DataDome; a proxy service with JS rendering is required
API_KEY = 'YOUR_API_KEY'
URL = 'https://www.idealista.com/en/venta-viviendas/madrid-madrid/'
params = {
'api_key': API_KEY,
'url': URL,
'render': 'true'
}
response = requests.get('https://api.scraping-api.com/get', params=params)
if response.status_code == 200:
soup = BeautifulSoup(response.content, 'html.parser')
listings = soup.select('.item-info-container')
for ad in listings:
title = ad.select_one('.item-link').text.strip()
price = ad.select_one('.item-price').text.strip()
print(f'Listing: {title} | Price: {price}')
else:
print(f'Blocked or error: {response.status_code}')When to Use
Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.
Advantages
- ●Fastest execution (no browser overhead)
- ●Lowest resource consumption
- ●Easy to parallelize with asyncio
- ●Great for APIs and static pages
Limitations
- ●Cannot execute JavaScript
- ●Fails on SPAs and dynamic content
- ●May struggle with complex anti-bot systems
How to Scrape Idealista with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# Idealista uses DataDome; a proxy service with JS rendering is required
API_KEY = 'YOUR_API_KEY'
URL = 'https://www.idealista.com/en/venta-viviendas/madrid-madrid/'
params = {
'api_key': API_KEY,
'url': URL,
'render': 'true'
}
response = requests.get('https://api.scraping-api.com/get', params=params)
if response.status_code == 200:
soup = BeautifulSoup(response.content, 'html.parser')
listings = soup.select('.item-info-container')
for ad in listings:
title = ad.select_one('.item-link').text.strip()
price = ad.select_one('.item-price').text.strip()
print(f'Listing: {title} | Price: {price}')
else:
print(f'Blocked or error: {response.status_code}')Python + Playwright
import asyncio
from playwright.async_api import async_playwright
from playwright_stealth import stealth
async def run():
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
context = await browser.new_context()
page = await context.new_page()
# Apply stealth to bypass basic fingerprinting
await stealth(page)
await page.goto('https://www.idealista.com/en/alquiler-viviendas/madrid-madrid/')
await page.wait_for_selector('.item-info-container')
items = await page.locator('.item-info-container').all()
for item in items:
title = await item.locator('.item-link').inner_text()
price = await item.locator('.item-price').inner_text()
print({'title': title.strip(), 'price': price.strip()})
await browser.close()
asyncio.run(run())Python + Scrapy
import scrapy
class IdealistaSpider(scrapy.Spider):
name = 'idealista'
start_urls = ['https://www.idealista.com/en/venta-viviendas/madrid-madrid/']
def parse(self, response):
for listing in response.css('.item-info-container'):
yield {
'title': listing.css('.item-link::text').get().strip(),
'price': listing.css('.item-price::text').get().strip(),
'link': response.urljoin(listing.css('.item-link::attr(href)').get())
}
next_page = response.css('.next a::attr(href)').get()
if next_page:
yield response.follow(next_page, self.parse)Node.js + Puppeteer
const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());
(async () => {
const browser = await puppeteer.launch({ headless: true });
const page = await browser.newPage();
await page.goto('https://www.idealista.com/en/venta-viviendas/madrid-madrid/');
await page.waitForSelector('.item-info-container');
const listings = await page.evaluate(() => {
return Array.from(document.querySelectorAll('.item-info-container')).map(el => ({
title: el.querySelector('.item-link')?.innerText.trim(),
price: el.querySelector('.item-price')?.innerText.trim()
}));
});
console.log(listings);
await browser.close();
})();What You Can Do With Idealista Data
Explore practical applications and insights from Idealista data.
Automated Property Valuations
Real estate investors use scraped data to build valuation models based on hyper-local neighborhood averages.
How to implement:
- 1Scrape all sold or active listings in a specific zip code.
- 2Calculate the median price per square meter for specific property types.
- 3Adjust for features like elevator, floor level, and terrace.
- 4Identify new listings that are priced 10% below the calculated market average.
Use Automatio to extract data from Idealista and build these applications without writing code.
What You Can Do With Idealista Data
- Automated Property Valuations
Real estate investors use scraped data to build valuation models based on hyper-local neighborhood averages.
- Scrape all sold or active listings in a specific zip code.
- Calculate the median price per square meter for specific property types.
- Adjust for features like elevator, floor level, and terrace.
- Identify new listings that are priced 10% below the calculated market average.
- Private Seller Lead Generation
Agencies can identify and contact homeowners listing their properties privately before they sign with other firms.
- Set up a scraper to filter for 'Particular' (private) listings.
- Extract the neighborhood, property details, and date of posting.
- Trigger an automated email or alert to the sales team when a new private listing appears.
- Outreach to the owner with a data-driven market report.
- Market Sentiment Analysis
Economists track the time-on-market for listings to gauge the liquidity and health of the local real estate market.
- Scrape the listing date or 'last updated' field for all properties in a city.
- Monitor how long listings remain active before being removed.
- Track price drops over time to identify cooling market trends.
- Visualize the data to show month-over-month inventory changes.
- Investment Yield Forecasting
Buy-to-let investors compare purchase prices with rental prices in the same buildings to find high-yield areas.
- Scrape sales listings for a specific district to find average purchase prices.
- Scrape rental listings for the same district to find average monthly income.
- Calculate the gross rental yield (Annual Rent / Purchase Price).
- Identify 'sweet spots' where property prices are low but rental demand is high.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping Idealista
Expert advice for successfully extracting data from Idealista.
Use high-quality residential proxies; datacenter IPs are almost always flagged by DataDome.
To bypass the 1,800 result limit, split your search into small price ranges (e.g., 200k-210k, 210k-220k) to get all listings.
Scrape during European off-peak hours (midnight to 6 AM CET) to minimize the risk of aggressive rate limiting.
Don't just scrape the HTML; look for JSON data inside script tags like 'var adMultimediasInfo' for high-res image URLs.
Always rotate your User-Agent to match the latest Chrome or Firefox versions to avoid fingerprinting detection.
Implement random sleep intervals between 5 to 15 seconds between page loads to mimic human behavior.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions About Idealista
Find answers to common questions about Idealista