Imovirtual Property Scraper 🏠

Extract detailed property listings from Imovirtual.com, Portugal's leading real estate platform. Get comprehensive property data for market analysis, lead generation, or research purposes.

🎯 Features

• Complete Property Details: Capture titles, prices, locations, and sizes
• Professional Info: Get agency details and contact information
• Detailed Descriptions: Full property descriptions and features
• Price Analytics: Price per square meter calculations
• Flexible Filtering: Filter by location, property type, price range, and more
• Smart Collection: Automatically handles pagination and retry logic
• Comprehensive Data: Extract 20+ fields including photos, agency info, and property flags

💡 Use Cases

• Real Estate Market Analysis: Track property prices and trends across Portugal
• Lead Generation: Get contact details of property agencies
• Investment Research: Analyze property prices across different locations and property types
• Market Competition: Monitor competitor listings and pricing strategies
• Property Database: Build your own comprehensive property database
• Location Analysis: Compare property prices by city, province, and neighborhood

🚀 Input Parameters

Field	Type	Description	Default
search_location	String	Location to search (e.g., 'Lisboa', 'Porto', 'Braga')	"Lisboa"
property_type	String	Type of property (apartment, house, studio, etc.)	"apartment"
listing_type	String	Buy or rent listings	"buy"
min_price	Integer	Minimum price in EUR	50000
max_price	Integer	Maximum price in EUR	500000
min_sqft	Integer	Minimum area in m²	50
max_sqft	Integer	Maximum area in m²	100
number_of_bedrooms	Integer	Number of bedrooms (1-6+)	1

Property Types Available:

• apartment - Apartments
• house - Houses
• studio - Studios (T0)
• building - Buildings/Developments
• room - Rooms
• land - Land plots
• commercial - Commercial properties
• office/warehouse - Offices and warehouses
• garage - Garages

📊 Output Dataset

The actor stores results in a dataset with the following fields:

Field	Type	Description
id	Integer	Unique property listing ID
title	String	Property title/name
url	String	Direct URL to the property listing
description	String	Property description
full_address	String	Complete property address
province	String	Province name
first_photo	String	URL of the first property photo
number_of_photos	Integer	Total number of photos available
agency_id	Integer	Agency ID
agency_name	String	Name of the real estate agency
price	Integer	Total property price in EUR
price_per_square_meter	Integer	Price per square meter in EUR
terrain_area_square_meter	Integer	Terrain area in square meters
area_square_meter	Integer	Property area in square meters
rooms_number	String	Number of rooms (e.g., "ONE", "TWO")
floor_number	String	Floor number (e.g., "GROUND", "FIRST")
date_created	String	Date when listing was created
is_private_owner	Boolean	Whether it's a private owner listing
is_promoted	Boolean	Whether the listing is promoted
is_exclusive_offer	Boolean	Whether it's an exclusive offer

🔧 Technical Features

• Retry Logic: Automatically retries failed requests up to 10 times
• Response Validation: Ensures valid JSON responses before processing
• Error Handling: Graceful error handling with detailed logging
• Data Validation: Robust field extraction with fallback values
• Stealth Mode: Uses stealth techniques to avoid detection
• Flexible Output: Saves both processed data and raw responses

📈 Data Quality

The scraper ensures high-quality data extraction by:

• Validating all required fields before saving
• Using fallback values for missing data
• Providing detailed logging for debugging
• Handling various property types and formats
• Supporting both Portuguese and international property markets

📥 Example Input JSON

{
  "search_location": "Lisboa",
  "property_type": "apartment",
  "listing_type": "buy",
  "min_price": 50000,
  "max_price": 500000,
  "min_sqft": 50,
  "max_sqft": 100,
  "number_of_bedrooms": 1
}

📤 Example Output JSON (Single Listing)

{
  "id": 18668154,
  "title": "Apartamento T0 espaçoso com terraço, em São Bento, Lisboa",
  "url": "https://www.imovirtual.com/pt/anuncio/apartamento-t0-espacoso-com-terraco-em-sao-bento-lisboa-ID1gkrg",
  "description": "O projeto São Bento 21, como o nome indica, localiza-se na Rua de São Bento, num dos bairros mais bonitos e cosmopolitas de Lisboa. Trata-se de uma reabilitação com assintura do gabinete Saraiva +Ass...",
  "full_address": "Rua de São Bento 123, Misericórdia, Lisboa",
  "province": "Lisboa",
  "first_photo": "https://ireland.apollo.olxcdn.com/v1/files/eyJmbiI6InZuY2o4ZTJzY3Aycy1FQ09TWVNURU0iLCJ3IjpbeyJmbiI6IjY5bmxwYTdlY3FtNzEtQVBUIiwicyI6IjE0IiwicCI6IjEwLC0xMCIsImEiOiIwIn1dfQ.KPfw7Rp-ulwi7-mkqdoJQnMQ2DioSIEqdTYpSfuuxGE/image;s=1280x1024;q=80",
  "number_of_photos": 13,
  "agency_id": 3456674,
  "agency_name": "Infante & Riu - Portugal Real Estate",
  "price": 450000,
  "price_per_square_meter": 7759,
  "terrain_area_square_meter": null,
  "area_square_meter": 58,
  "rooms_number": "ONE",
  "floor_number": "GROUND",
  "date_created": "2025-08-04 21:00:37",
  "is_private_owner": false,
  "is_promoted": false,
  "is_exclusive_offer": false
}

🚀 Getting Started

1. Configure your input parameters (location, property type, price range)
2. Run the scraper
3. Access your results in the dataset
4. Export data in JSON format for further analysis

The property information is structured in a clean, consistent format, making it easy to access and process the data programmatically for your specific use case.