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Capasapo Propertydetails Spider

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from $9.00 / 1,000 results

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Capasapo Propertydetails Spider

Capasapo Propertydetails Spider

Extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. Scrape pricing, location, agent contacts, and features from multiple URLs, delivering structured JSON with geolocation and energy metrics....

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Description

Extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. Scrape pricing, location, agent contacts, and features from multiple URLs, delivering structured JSON with geolocation and energy metrics....


Capasapo Propertydetails Spider

The Capasapo Propertydetails Spider is an Apify Actor designed to extract comprehensive property details from CasaSapo, Portugal's leading real estate platform. It scrapes key information such as pricing, location, agent contacts, and property features from individual property URLs, enabling users to gather structured data for analysis or integration. This tool is invaluable for real estate professionals, researchers, and businesses seeking reliable, up-to-date property insights.

Features

  • Comprehensive Data Extraction: Captures detailed property attributes including name, price, location, agent information, and descriptions.
  • High Accuracy and Reliability: Built with robust scraping techniques to ensure data integrity and minimize errors.
  • Flexible Input Handling: Accepts multiple property URLs for batch processing, supporting efficient large-scale data collection.
  • Structured JSON Output: Delivers clean, machine-readable data ideal for downstream processing or storage.
  • Performance Optimized: Handles requests efficiently with built-in delays to respect website policies and avoid blocks.
  • Geolocation Support: Includes latitude and longitude for mapping and geospatial analysis.
  • Energy and Usage Metrics: Extracts energy certifications, views, clicks, and publication dates for in-depth insights.

Input Parameters

ParameterTypeRequiredDescriptionExample
PropertyUrlsarrayYesA list of URLs pointing to individual CasaSapo property pages to scrape. Each URL must be a valid HTTP/HTTPS link.["https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"]

Example Usage

To run the Actor, provide the input parameters in JSON format:

{
"PropertyUrls": [
"https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501"
]
}

The Actor will output a JSON array of objects, each containing detailed property information. Example output:

[
{
"name": "Apartment 3 Bedrooms Quelfes, Olhão",
"category": "Apartments",
"price": "420.000 €",
"deal_type": "buy",
"image": "https://media.casasapo.pt/Z720x540/OAYES/S5/C2465/P29094637/Tphoto/IDedf2bb01-0000-0500-0000-000018230d74.jpg",
"country": "PT",
"city": "Olhão",
"region": "Quelfes",
"latitude": 37.0379826848,
"longitude": -7.8356925336,
"agent_name": "Algarmed - Mediação Imobiliária",
"agent_website": "http://algarmed.pt",
"agent_phone": "+351 289588825",
"agent_address": "Av. da Liberdade 138<br/>8200 002 Abufeira",
"property_type_full": "Apartment 3 Bedrooms for buy in Olhão, Quelfes",
"quick_features": "127m²",
"description": "Modern apartment located on the second floor of a quiet and well-maintained building with elevator in Olhão. It comprises 3 bright bedrooms, one en-suite, all equipped with individual air conditioning, 2 bathrooms, and a living room with an open-plan kitchen, providing an excellent family living environment. The spacious living room, also air-conditioned and equipped with a television, offers a pleasant and bright living space, with access to a terrace perfect for outdoor leisure. The kitchen is fully equipped with modern, high-quality appliances. Two modern bathrooms complete this property, providing functionality and comfort in everyday life. It also includes a private garage, adding security and convenience. The apartment is sold unfurnished and unequipped, however, there is the possibility of selling it as is, subject to negotiation.",
"condition": null,
"floor_area": "154m²",
"serial_number": "CasaSAPO_AGM-MCD008",
"energy_certification": "A +",
"views": "1,790",
"clicks": "67",
"published": "more than a month",
"source_url": "https://casa.sapo.pt/en-gb/buy-apartment-3-bedrooms-olhao-quelfes-61be6646-efa7-11f0-a463-060000000052.html?g3pid=1072501",
"actor_id": "uS04vHGTOJKk1iMyY",
"run_id": "wGdffc3oaR8QyL5OT"
}
]

Use Cases

  • Market Research and Analysis: Analyze property prices, trends, and availability across regions for investment decisions.
  • Competitive Intelligence: Monitor competitors' listings and agent performance in the real estate market.
  • Price Monitoring: Track price changes and market fluctuations for specific properties or areas.
  • Content Aggregation: Build databases of property details for websites, apps, or reports.
  • Academic Research: Study housing markets, demographics, and economic indicators using structured data.
  • Business Automation: Integrate scraped data into CRM systems or automated workflows for lead generation.

Installation and Usage

  1. Search for "Capasapo Propertydetails Spider" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The output is a JSON array of objects, each representing a scraped property. Key fields include basic details like name, price, and deal_type; location data such as country, city, region, latitude, and longitude; agent information including agent_name, agent_website, agent_phone, and agent_address; property specifics like property_type_full, quick_features, description, floor_area, and energy_certification; engagement metrics such as views and clicks; and metadata like published, source_url, actor_id, and run_id. This structure ensures easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

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