Imovirtual Scraper avatar

Imovirtual Scraper

Under maintenance
Try for free

2 hours trial then $15.00/month - No credit card required now

Go to Store
This Actor is under maintenance.

This Actor may be unreliable while under maintenance. Would you like to try a similar Actor instead?

See alternative Actors
Imovirtual Scraper

Imovirtual Scraper

macrodrigues/imovirtual-scraper
Try for free

2 hours trial then $15.00/month - No credit card required now

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.

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • No reviews yet

  • 1 bookmark

  • >99% runs succeeded

  • Created in Jan 2025

  • Modified 12 days ago

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 agent types and details
  • Detailed Descriptions: Full property descriptions and features
  • Price Analytics: Price per square meter calculations
  • Flexible Scraping: Choose starting page and number of properties to scrape
  • Smart Collection: Automatically handles pagination to get your desired number of properties

💡 Use Cases

  • Real Estate Market Analysis: Track property prices and trends
  • Lead Generation: Get contact details of property agents
  • Investment Research: Analyze property prices across different locations
  • Market Competition: Monitor competitor listings and pricing
  • Property Database: Build your own property database

🚀 Input Parameters

FieldTypeDescription
page_numberIntegerThe page number to start scraping from (default: 1, min: 1, max: 40)
num_propertiesIntegerNumber of properties to scrape (default: 20, min: 5, max: 50)

📊 Output Dataset

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

  • Title
  • Price
  • Property Link
  • Location
  • Size
  • Size (m²)
  • Price per m²
  • Professional Type