Imovirtual Scraper
Pricing
$15.00/month + usage
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Imovirtual 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.
0.0 (0)
Pricing
$15.00/month + usage
1
Total users
6
Monthly users
3
Runs succeeded
>99%
Last modified
4 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
| Field | Type | Description |
|---|---|---|
page_number | Integer | The page number to start scraping from (default: 1, min: 1, max: 40) |
num_properties | Integer | Number of properties to scrape (default: 50, min: 10, max: 150) |
📊 Output Dataset
The actor stores results in a dataset with the following fields:
| Field | Description |
|---|---|
title | Property title/name |
link | Direct URL to the property listing |
location | Property location/address |
size | Property type (e.g., T5) |
size_square | Property size in square meters |
price_square | Price per square meter |
floor | Floor number |
price | Total property price |
professional_name | Name of the real estate agent/company |
professional_type | Type of professional (e.g., Agency, Private) |
The property information is structured in a dictionary format, making it easy to access and process the data programmatically.
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