Nuroa Property Scraper

Introduction

The Nuroa Property Scraper is a powerful Apify Actor designed to extract property listings from Nuroa.com efficiently and reliably. It allows users to scrape detailed property data based on location queries, making it ideal for real estate professionals, researchers, and businesses needing up-to-date market information. With built-in proxy support and customizable limits, this scraper ensures high-quality data extraction while respecting website policies.

Features

• Comprehensive Data Extraction: Scrapes key property details including title, price, location, description, images, rooms, bathrooms, size, and agent information.
• Flexible Query Support: Accepts multiple location-based search queries to target specific areas or regions.
• Configurable Limits: Set maximum items to scrape per run to control data volume and processing time.
• Proxy Integration: Utilizes Apify's residential proxies to avoid IP blocks and ensure uninterrupted scraping.
• High Reliability: Built with robust error handling to manage dynamic web content and potential site changes.
• Fast Performance: Optimized for speed, processing listings quickly without compromising data accuracy.
• Export-Ready Output: Produces structured JSON data compatible with various formats like CSV and Excel for easy integration.

Input Parameters

Parameter	Type	Required	Description	Example
queries	array	Yes	A list of location search queries to scrape properties from. Each query targets a specific area on Nuroa.com.	["pasadena", "los angeles"]
item_limit	integer	No	The maximum number of property items to scrape across all queries. Helps manage run time and data size.	30
proxyConfiguration	object	No	Configures proxy servers to hide the scraper's origin and avoid rate limits. Uses Apify's residential proxies by default.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
  "queries": ["pasadena"],
  "item_limit": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output JSON

[
  {
    "query": "pasadena",
    "title": "4715 Pine Ave 3 Bedrooms, 1 Bathroom",
    "price": "",
    "location": "Pasadena",
    "description": "Stop searching and start living. For more information please contact us via phone or email",
    "url": "https://www.nuroa.com/conversion/featured/pasadena/1/1/RentCafe?siteId=410941&clickType=featured&redirectUrl=https%3A%2F%2Fwww.nuroa.com%2Fproperty%2F5080006767278385494%3Fclick_type%3D1%26pos%3D1%26listingId%3D5080006767278385494%26siteStrategyKey%3Dnuroa.com%26url%3Dhttps%25253A%25252F%25252Fwww.rentcafe.com%25252Fapartments%25252Ftx%25252Fpasadena%25252F4715-pine-ave%25252Fdefault.aspx%26searchType%3D2%26page%3D1%26section%3D26%26t_sec%3D26%26sectionType%3D2%26pageViewId%3D597653f7-d2bc-4b26-b65b-559e73929cd6%26t_pvid%3D597653f7-d2bc-4b26-b65b-559e73929cd6%26userAgent%3DMozilla%252F5.0%2B%2528X11%253B%2BUbuntu%253B%2BLinux%2Bx86_64%253B%2Brv%253A139.0%2529%2BGecko%252F20100101%2BFirefox%252F139.0%26browser%3D1%26isHuman%3Dtrue%26userIp%3D216.131.122.106%26what%3Dpasadena%26search_terms%3Dpasadena%26origin%3D1%26t_or%3D1%26splitTestId%3D0%26detailPageUrl%3Dhttps%25253A%25252F%25252Fwww.nuroa.com%25252Fadclickdetail%25252F5080006767278385494%25253Fclick_type%25253D1%252526pos%25253D1%252526listingId%25253D5080006767278385494%252526siteStrategyKey%25253Dhttps%2525253A%2525252F%2525252Fwww.nuroa.com%252526url%25253Dhttps%252525253A%252525252F%252525252Fwww.rentcafe.com%252525252Fapartments%252525252Ftx%252525252Fpasadena%252525252F4715-pine-ave%252525252Fdefault.aspx%252526searchType%25253D2%252526page%25253D1%252526section%25253D26%252526t_sec%25253D26%252526sectionType%25253D2%252526pageViewId%25253D597653f7-d2bc-4b26-b65b-559e73929cd6%252526t_pvid%25253D597653f7-d2bc-4b26-b65b-559e73929cd6%252526userAgent%25253DMozilla%2525252F5.0%25252B%25252528X11%2525253B%25252BUbuntu%2525253B%25252BLinux%25252Bx86_64%2525253B%25252Brv%2525253A139.0%25252529%25252BGecko%2525252F20100101%25252BFirefox%2525252F139.0%252526browser%25253D1%252526isHuman%25253Dtrue%252526userIp%3D216.131.122.106%252526what%3Dpasadena%252526search_terms%3Dpasadena%252526origin%3D1%252526t_or%3D1%252526splitTestId%3D0%252526clickin%25253Dfalse",
    "image": "https://pics.nuroa.com/web/4715_pine_ave_3_bedrooms_1_bathroom_5080006767278385494.jpg",
    "rooms": "3 rooms",
    "bathrooms": "1 bathroom",
    "size": "",
    "price_per_sqft": "1 bathroom",
    "agent": "RentCafe"
  }
]

Use Cases

• Market Research and Analysis: Gather data on property prices, availability, and trends in specific locations for informed decision-making.
• Competitive Intelligence: Monitor competitors' listings and pricing strategies to stay ahead in the real estate market.
• Price Monitoring: Track rental or sale prices over time to identify opportunities or shifts in the market.
• Content Aggregation: Collect property details for websites, blogs, or apps focused on real estate information.
• Academic Research: Support studies on housing markets, urban development, or socioeconomic factors by providing raw data.
• Business Automation: Integrate scraped data into CRM systems or automated workflows for lead generation and client outreach.

Installation and Usage

1. Search for "Nuroa Property Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add queries and set item limit).
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 an array of JSON objects, each representing a scraped property listing. Key fields include:

• query: The search query used.
• title: Property title or headline.
• price: Listed price (may be empty if not specified).
• location: Geographic location.
• description: Brief property description.
• url: Direct link to the listing.
• image: URL of the property image.
• rooms, bathrooms, size: Property specifications.
• price_per_sqft: Price per square foot (if available).
• agent: Listing agent or platform.

Data is structured for easy parsing and integration into databases or analysis tools.

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!

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