How to Scrape Idealista Property Listings & Rental Yields in Spain, Italy & Portugal

The European Real Estate Opportunity on Idealista

Idealista is the undisputed market leader for real estate listings in Southern Europe, serving over 38 million monthly visits across Spain, Italy, and Portugal. For international investors, digital nomad housing platforms, and proptech syndicates, Idealista is the primary source of truth for:

• Golden Visa & Non-Resident Investment: Tracking eligible property valuations in Lisbon, Porto, Madrid, and Valencia.
• Short-Term vs. Long-Term Rental Spreads: Benchmarking long-term lease rates against Airbnb projections.
• Micro-Market Price Per Square Meter (€/m²): Identifying undervalued districts before gentrification pricing sets in.
• Direct Landlord & Agency Discovery: Sourcing off-market acquisitions and broker partnerships.

Technical Hurdles: Beating Datadome Anti-Bot Defenses

Idealista employs Datadome, an enterprise behavioral security system designed to detect and block scraping bots:

1. Mouse Tracking & Sensor Data: Datadome analyzes micro-movements, touch events, and gyroscope signals. Headless Chrome without specialized stealth patches is banned on the first request.
2. IP Reputation Filtering: Cloud hosting IPs (AWS, DigitalOcean, Hetzner, GCP) receive immediate 403 blocks or persistent Captcha loops.
3. HTTP/2 Fingerprint Validation: Custom scrapers with default TLS handshakes or missing HTTP/2 headers are immediately dropped.

The Idealista Real Estate Scraper solves this by routing requests through real residential peer networks with calibrated device telemetry.

Structured Data Schema

The scraper converts unstructured Idealista listings into clean JSON datasets:

How to Run the Scraper

Step 1: Obtain Target Search URLs

Navigate to Idealista in your browser, apply your filters (e.g. 2+ bedrooms in Barcelona with an elevator under €1,800/month), and copy the URL:

{
  "startUrls": [
    "https://www.idealista.com/en/alquiler-viviendas/madrid-madrid/con-de-dos-dormitorios,ascensor/"
  ],
  "maxItems": 100
}

Step 2: Extract Programmatically with Python

from apify_client import ApifyClient
import pandas as pd

# Use your free monthly $5 credit allowance
client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "startUrls": [
        "https://www.idealista.com/en/alquiler-viviendas/valencia-valencia/"
    ],
    "maxItems": 250
}

# Run scraper in the cloud
run = client.actor("madeingermany/idealista-scraper-rental").call(run_input=run_input)

# Ingest results
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
df = pd.DataFrame(dataset_items)

print(f"Scraped {len(df)} listings from Valencia.")
# Calculate average rent per m2 by neighborhood
neighborhood_stats = df.groupby("neighborhood")["pricePerSqMeter"].mean().reset_index()
print(neighborhood_stats.head())

Step 3: Run with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
  token: 'YOUR_APIFY_TOKEN',
});

const input = {
  startUrls: ['https://www.idealista.pt/en/arrendar-casas/lisboa/'],
  maxItems: 100
};

const run = await client.actor('madeingermany/idealista-scraper-rental').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Extracted ${items.length} Lisbon rental listings.`);

High-Value Investment Applications

1. Expat Housing Deal Aggregators: Build a regional portal alerting digital nomads to furnished apartments entering the market below €1,500/month in Lisbon or Madrid.
2. B2B Property Management Outreach: Identify landlords listing directly as private individuals (“particular”) and pitch professional co-living or short-term rental management services.
3. Automated Yield Underwriting: Continuously calculate gross rental yield ((Monthly Rent * 12) / Purchase Price) by pairing Idealista rental listings with sales comps across identical postal codes.