Nuroa Property Spider

The Nuroa Property Spider is a powerful Apify Actor designed to scrape rental property listings from Nuroa.com, extracting detailed information such as titles, prices, features, and images. It enables users to gather comprehensive data on available rentals across various locations, making it ideal for real estate professionals, researchers, and businesses. By automating the data collection process, this Actor saves time and ensures access to up-to-date, structured rental data.

Features

• Comprehensive Data Extraction: Scrapes key details including listing ID, title, address, price, currency, features, description, partner, update date, image URL, and detail URL.
• Flexible Query Support: Allows multiple location-based queries to target specific areas or cities for targeted scraping.
• Configurable Item Limits: Set maximum items to process, controlling the scope and runtime of the Actor.
• High Reliability: Built with robust error handling to manage website changes and ensure consistent data retrieval.
• Fast Performance: Optimized for speed, processing listings efficiently without unnecessary delays.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
• Apify Integration: Seamlessly runs on the Apify platform with easy monitoring and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Queries	array	Yes	An array of location-based queries to search for rental properties on Nuroa.com. Each query should be a string representing a city or region.	["chicago", "new york"]
itemLimit	integer	No	The maximum number of property listings to extract per query. If not specified, defaults to 10.	50

Example Usage

To run the Nuroa Property Spider, configure the input parameters as shown below:

{
  "Queries": ["chicago", "los angeles"],
  "itemLimit": 20
}

This will scrape up to 20 rental listings for each query ("chicago" and "los angeles").

Example output:

[
  {
    "query": "chicago",
    "listing_id": "1100126685797445155",
    "title": "Shoreham and Tides 2 BEDROOM 04 TIDES",
    "address": "Chicago",
    "price": "3,577",
    "currency": "USD",
    "features": [
      "2 rooms",
      "2 bathrooms",
      "1290 ft²",
      "2 USD/ft²",
      "pet friendly"
    ],
    "description": "...",
    "partner": "RentCafe",
    "updated": "",
    "image_url": "https://pics.nuroa.com/web/shoreham_and_tides_2_bedroom_04_tides_1100126685797445155.jpg",
    "detail_url": "https://www.nuroa.com/conversion/featured/chicago/1/1/RentCafe?siteId=410941&clickType=featured&redirectUrl=https%3A%2F%2Fwww.nuroa.com%2Fproperty%2F1100126685797445155%3Fclick_type%3D1%26pos%3D1%26listingId%3D1100126685797445155%26siteStrategyKey%3Dnuroa.com%26url%3Dhttps%25253A%25252F%25252Fwww.rentcafe.com%25252Fapartments%25252Fil%25252Fchicago%25252Fshoreham-and-tides%25252Fdefault.aspx%26searchType%3D2%26page%3D1%26section%3D26%26t_sec%3D26%26sectionType%3D2%26pageViewId%3Df87be1ed-6193-4ae0-8188-862ff069395f%26t_pvid%3Df87be1ed-6193-4ae0-8188-862ff069395f%26userAgent%3DMozilla%252F5.0%2B%2528X11%253B%2BUbuntu%253B%2BLinux%2Bx86_64%253B%2Brv%253A141.0%2529%2BGecko%2525252F20100101%2BFirefox%252F141.0%26browser%3D1%26isHuman%3Dtrue%26userIp%3D3.214.217.202%26what%3Dchicago%26search_terms%3Dchicago%26origin%3D1%26t_or%3D1%26splitTestId%3D0%26detailPageUrl%3Dhttps%25253A%25252F%25252Fwww.nuroa.com%25252Fadclickdetail%25252F1100126685797445155%25253Fclick_type%25253D1%252526pos%25253D1%252526listingId%25253D1100126685797445155%252526siteStrategyKey%25253Dhttps%2525253A%2525252F%2525252Fwww.nuroa.com%252526url%25253Dhttps%252525253A%252525252F%252525252Fwww.rentcafe.com%252525252Fapartments%252525252Fil%252525252Fchicago%252525252Fshoreham-and-tides%252525252Fdefault.aspx%252526searchType%25253D2%252526page%25253D1%252526section%25253D26%252526t_sec%25253D26%252526sectionType%25253D2%252526pageViewId%25253Df87be1ed-6193-4ae0-8188-862ff069395f%252526t_pvid%25253Df87be1ed-6193-4ae0-8188-862ff069395f%252526userAgent%25253DMozilla%2525252F5.0%25252B%25252528X11%2525253B%25252BUbuntu%2525253B%25252BLinux%25252Bx86_64%2525253B%25252Brv%2525253A141.0%25252529%25252BGecko%2525252F20100101%25252BFirefox%2525252F141.0%252526browser%25253D1%252526isHuman%25253Dtrue%252526userIp%3D3.214.217.202%26what%3Dchicago%26search_terms%3Dchicago%26origin%3D1%26t_or%3D1%26splitTestId%3D0%26clickin%3Dfalse"
  }
]

Use Cases

• Market Research and Analysis: Analyze rental trends, average prices, and availability in specific cities to inform investment decisions.
• Competitive Intelligence: Monitor competitors' listings and pricing strategies for real estate agencies.
• Price Monitoring: Track rental price fluctuations over time to identify optimal leasing periods.
• Content Aggregation: Collect property data for websites, blogs, or apps focused on housing information.
• Academic Research: Gather data for studies on urban housing markets, affordability, and demographic shifts.
• Business Automation: Automate data feeds for CRM systems or dashboards to streamline property management workflows.

Installation and Usage

1. Search for "Nuroa Property 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 Actor outputs an array of JSON objects, each representing a scraped property listing. Key fields include:

• query: The search query used.
• listing_id: Unique identifier for the listing.
• title: Property title.
• address: Location address.
• price: Rental price as a string.
• currency: Currency code (e.g., USD).
• features: Array of property features (e.g., rooms, bathrooms).
• description: Detailed property description.
• partner: Source partner (e.g., RentCafe).
• updated: Last update date (may be empty).
• image_url: URL to the property image.
• detail_url: Link to the full listing page.

Data is structured for easy parsing and integration.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!