Nuroa Revews Parser Spider

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The Nuroa Revews Parser Spider is a powerful Apify Actor designed to scrape and extract detailed property reviews and data from the Nuroa website. It enables users to gather structured information on properties for rent or sale, including descriptions, images, locations, and more, making it an essential tool for real estate professionals, researchers, and businesses. By automating data collection, this Actor saves time and ensures access to up-to-date, reliable property insights.

Features

• Comprehensive Data Extraction: Scrapes key property details such as type, bedrooms, bathrooms, addresses, coordinates, and descriptions from Nuroa listings.
• Customizable Filters: Allows configuration of purpose (e.g., rent or sale), property type (e.g., apartment), and location (e.g., city) to target specific searches.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, ideal for integration with other tools or databases.
• High Performance: Built for efficiency with fast scraping capabilities, minimizing runtime while handling large volumes of data.
• Reliability and Accuracy: Ensures data quality through robust parsing, reducing errors and providing consistent results.
• Scalable and Flexible: Supports various use cases from market analysis to automated reporting, with easy parameter adjustments.
• Apify Integration: Seamlessly runs on the Apify platform, offering monitoring, scheduling, and export options.

Input Parameters

Example Usage

Example Input

{
"Purpose":"rent",
"Type":"apartment",
"Location":"baltimore"
}

Example Output

[
{
"type":"House",
"image":"https://pics.nuroa.com/village_of_pine_run_apartments_townhomes_2_bedroom_1_bath_1070042698846094184.jpg",
"description":"Reside in comfort and sophistication at Village of Pine Run Apartments. Located in a vibrant neighborhood, our apartments in Milford Mill let you indulge in all the urban comforts you desire without giving up the peace and quiet you deserve. Explore all the high-end amenities and attractive services that youll enjoy here!We offer a selection of spacious one, two, and three-bedroom apartments for rent in Baltimore County that are as functional as they are pleasing to the eye. Large rooms soaked in natural light await, along with sunny, eat-in kitchens that feature all the essentials you need for easy cooking. Luxury plank floors in select homes add a dash of elegance to your new place, while the private patios or balconies connect you to scenic surroundings. You can also choose between traditional homes or one of our Baltimore County townhomes for rent that boast washer/dryer sets for your convenience",
"bedrooms":"2",
"bathrooms":"1",
"address_locality":"Baltimore",
"address_region":"Maryland",
"address_country":"US",
"latitude":"39.3518",
"longitude":"-76.7783",
"link":null
}
]

Use Cases

• Market Research and Analysis: Gather data on property trends, pricing, and availability in specific locations to inform real estate strategies.
• Competitive Intelligence: Monitor competitors' listings and features to benchmark offerings and identify market gaps.
• Price Monitoring: Track rental or sale prices for apartments, houses, or townhomes to detect fluctuations and opportunities.
• Content Aggregation: Collect property descriptions and images for websites, blogs, or marketing materials.
• Academic Research: Support studies on housing markets, urban development, or socioeconomic factors using structured data.
• Business Automation: Integrate scraped data into CRM systems or dashboards for automated reporting and decision-making.

Installation and Usage

1. Search for "Nuroa Revews Parser 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 data as a JSON array of objects, each representing a property listing. Key fields include:

• type: The property type (e.g., "House").
• image: URL to the property image.
• description: Detailed text description of the property.
• bedrooms and bathrooms: Number of bedrooms and bathrooms.
• address_locality, address_region, address_country: Location details.
• latitude and longitude: Geographic coordinates.
• link: URL to the full listing (may be null).

This structured format ensures 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/

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