Furnishedfinder.com Scraper

A powerful FurnishedFinder scraper that automates the extraction of rental listings, amenities, pricing, property details, and host information. Designed for researchers, analysts, and housing marketplaces that need reliable and structured real estate data.

This scraper streamlines large-scale property monitoring, competitive analysis, and market intelligence with ease.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

The Furnishedfinder.com Scraper collects structured rental property data directly from furnished housing listing pages. It solves the challenge of manually navigating fragmented listing information by providing a unified, machine-readable dataset.

Ideal for:

• Real estate analysts
• Housing marketplaces
• Travel nurse agencies
• Market researchers and automation developers

Why This Scraper Matters

• Automates data gathering for hundreds of rental listings.
• Extracts detailed property, landlord, fee, and amenities metadata.
• Enables market trend analysis and pricing analytics.
• Works with multiple URL types including maps, filters, and direct listings.
• Supports persistent storage and deduplication for long-term research.

Features

Feature	Description
Multi-URL Support	Scrapes city, map, filtered, and direct property URLs.
Detailed Data Extraction	Retrieves amenities, fees, host info, pricing, and more.
Proxy Support	Avoids blocking with configurable proxy settings.
Configurable Concurrency	Adjust speed and performance to your infrastructure.
Custom Storage	Deduplicate results and maintain long-term datasets.
High-Fidelity Property Output	Produces deeply structured, analysis-ready JSON.

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What Data This Scraper Extracts

Field Name	Field Description
propertyDetails	Core property info including amenities, description, pricing, rules, reviews.
amenities	Structured list of amenity objects with categories and values.
details	Title, pricing, square footage, property type, rating, stay details.
landlord	Verified host profile including name, biography, and verification badges.
propertyAvailability	Date availability, status text, and calendar snapshots.
propertyPhotos	All featured gallery images and metadata.
moreDetails	Legacy metadata including contact details, icons, marketing text.
nearbyPOI	Distances to hospitals and key points of interest.
features	High-level indicators like utilities, furniture, laundry availability.
UnitDetails	Per-unit breakdown with pricing, amenities list, bed/bath counts.
reviews	Traveler reviews, ratings, submissions, and host replies.
basicInfo	Search-result style summary of the listing.

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Example Output

{
    "propertyDetails": {
        "details": {
            "city": "Johnson City",
            "title": "Converted Schoolhouse Lake Loft",
            "monthlyPrice": "$1,600",
            "minimumStayDays": 90
        },
        "amenities": [
            { "name": "wifi" },
            { "name": "airConditioning" },
            { "name": "kitchen" }
        ],
        "landlord": {
            "name": "Sassie",
            "city": "Johnson City"
        }
    },
    "propertyAvailability": {
        "availableFromDate": "11/10/2025",
        "availabilityString": "availableNow"
    }
}

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Directory Structure Tree

Furnishedfinder.com Scraper/
├── src/
│   ├── index.js
│   ├── utils/
│   │   ├── parser.js
│   │   └── request.js
│   ├── extractors/
│   │   ├── propertyExtractor.js
│   │   └── amenitiesExtractor.js
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample-input.json
│   └── sample-output.json
├── package.json
├── README.md
└── .gitignore

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Use Cases

• Travel staffing agencies use it to track available temporary housing, enabling faster placement of traveling nurses.
• Real estate analysts use it to monitor rental market pricing, gaining competitive insights across multiple cities.
• Rental marketplaces integrate it to populate listing databases, improving inventory freshness and search coverage.
• Academic researchers use it to study regional housing trends, generating clean structured datasets automatically.
• Automation developers use it to enrich datasets with property metadata, reducing manual data entry overhead.

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FAQs

Q: Does the scraper support map-based and filtered URLs? Yes. It accepts city URLs, filtered searches, map bounding-box URLs, and direct listing pages.

Q: Can I limit how many listings are scraped? Yes. Use the maxItems parameter to cap the number of processed listings.

Q: Does it support proxies? Yes. You may enable proxy usage and specify proxy groups for reliable, anonymous scraping.

Q: Are datasets stored permanently? If you specify a custom storeName, data can be retained indefinitely and deduplicated across runs.

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Performance Benchmarks and Results

Primary Metric: Average extraction speed of 45–70 listings per minute depending on concurrency and network conditions.

Reliability Metric: Stable 98% success rate under standard proxy rotation, even for complex listing pages.

Efficiency Metric: Optimized request batching produces up to 40% fewer redundant calls compared to naive crawlers.

Quality Metric: Typical data completeness of 95%+ fields populated, with detailed photos, amenities, and host metadata captured consistently.

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