️ Fotocasa.es Search Results Scraper

Overview

This Apify actor scrapes real estate listings from Fotocasa.es, Spain's largest property website. It extracts detailed ad information from search result URLs and exports data in formats like JSON, CSV, or HTML. Pricing is $6 per 1,000 listings scraped.

Key Features

• Search-based scraping: Provide a Fotocasa search URL to scrape all matching listings
• Comprehensive data extraction: Captures titles, descriptions, photos, prices, energy information, construction dates, publisher details (including email/phone), transportation info, and location data
• Delta mode: When enabled, only returns new listings and identifies delisted ads since the previous run
• Multiple export formats: JSON, CSV, HTML, and others
• Pay-per-result pricing: Clear cost of $6 per 1,000 listings

How to Use

1. Get a search URL: Navigate to Fotocasa.es, apply your filters (location, price, property type), and copy the resulting URL
2. Configure the actor: Set the startUrl parameter with your search URL
3. Run the actor: Execute and retrieve structured real estate data

Example valid URL:

https://www.fotocasa.es/en/buy/homes/madrid-capital/all-zones/l?maxPrice=50000

Free plan limitation: Free Apify users are limited to the first 30 listings per run. Paid plans remove this restriction.

Input

Output

Results are stored in a dataset with each item representing one property listing. The output includes structured data such as:

{
  "address": {
    "country": "España",
    "district": "Sant Martí",
    "neighborhood": "El Poblenou",
    "zipCode": "08005",
    "municipality": "Barcelona Capital",
    "province": "Barcelona"
  },
  "buildingType": "Flat",
  "clientType": "professional",
  "coordinates": {
    "latitude": 41.404611047192674,
    "longitude": 2.2062628054871825
  },
  "price": 425000,
  "description": "Encantador piso, con acabados de alta gama...",
  "energyInformation": "...",
  "photos": [...],
  "publisherContact": {
    "email": "...",
    "phone": "..."
  }
}

Common use cases:
- Real estate market analysis and research
- Building contact lists for agents
- Property price comparison and tracking
- Housing data collection for academic or personal projects
- Monitoring new listings in specific areas