Furnished Finder Scraper - Monthly Rentals & Landlord Leads

🏠 Furnished Finder Scraper — Monthly Rentals & Landlord Leads

Extract monthly furnished rentals, travel-nurse housing, and verified landlord leads from FurnishedFinder.com across any US metro. Export monthly rents, bedroom/bathroom counts, guest capacities, amenities, move-in availability dates, high-resolution property galleries, GPS coordinates, and direct landlord contact details to JSON, CSV, Excel, or API.

---

⚡ At a glance

Capability	Detail
Target Platform	FurnishedFinder.com (US Monthly Furnished Rentals & Travel Nurse Housing)
Geographic Scope	All 50 US States — search by City, State, Neighborhood, ZIP Code, or Region ID
Data Extracted	Monthly rent, property type, beds, baths, guest sleeps, amenities, availability date, min stay, GPS coordinates, photos, landlord name, profile handle, verified badges, public phone
Max Depth	Up to thousands of listings per metropolitan area with automatic deep pagination
Authentication	100% public extraction — no user login, account credentials, or browser extensions needed
Execution Speed	Fast listing catalog sweeps: ~50 listings in ~45s, ~250 listings in under 90s
Export Formats	Clean datasets in JSON, CSV, Excel, XML, HTML, or programmatic Apify REST API
Integration Support	Python Pandas, Node.js, Webhooks, Google Sheets, Make, Zapier, Airtable, Snowflake

---

🔎 Why scrape Furnished Finder?

FurnishedFinder.com is the dominant North American marketplace for mid-term furnished rentals (stays lasting 30 days or longer). Unlike short-term vacation platforms (such as Airbnb or Vrbo) or long-term 12-month lease portals (like Zillow or Apartments.com), FurnishedFinder caters specifically to traveling healthcare professionals, corporate transferees, remote digital nomads, and insurance-displaced policyholders.

Because FurnishedFinder listings are curated for monthly stays without hotel occupancy taxes, its pricing dynamics and inventory turnover represent a unique real estate sector. However, the platform does not offer bulk data export tools or a developer REST API. Real estate investors, arbitrage operators, and relocation managers are left to manually browse map pins and copy listing details individually.

This Furnished Finder Scraper automates the entire process. Simply enter one or more US cities or ZIP codes, and the scraper navigates the entire metropolitan inventory, extracts normalized listing records, handles bot protection invisibly, and delivers analysis-ready datasets directly to your business pipeline.

Strategic Real Estate & Lead Generation Applications

• 🏥 Travel Nurse & Clinician Relocation: Aggregate every furnished 30-day rental in a hospital district into a single spreadsheet to compare monthly rents and move-in availability.
• 💼 Corporate Housing & Insurance Placement: Source furnished, move-in-ready housing options for insurance claims adjusters or corporate relocation departments on demand.
• 📊 Mid-Term Rental (MTR) Market Analysis: Calculate average monthly rents, bed/bath distributions, seasonal occupancy rates, and amenity penetration (washer/dryer, air conditioning, parking) across major US markets.
• 🤝 Landlord & Co-Hosting Lead Generation: Identify verified property owners, property managers, and active real estate hosts for property management outreach, furniture leasing, or master lease arbitrage proposals.
• 🗺️ GIS & Real Estate Mapping: Ingest exact latitude and longitude coordinates for spatial density mapping near medical centers and university campuses.

---

✨ Features & Capabilities

• Flexible Multi-Location Targeting: Search by city name (Austin, TX), neighborhood (Hollywood, Los Angeles, CA), ZIP code (78701), or direct region slug (us--tx--austin). Multi-location inputs are aggregated and de-duplicated automatically.
• Deep 1,000+ Listing Pagination: Seamlessly navigates 250-listing batch intervals to collect complete metro catalogs up to thousands of listings per run.
• Rich Card Catalog Extraction: Instantly captures listing title, monthly rent, property type, bed/bath count, total sleeps, min stay days, availability status, amenities array, and photo galleries.
• Optional Landlord Detail Enrichment: Toggle includeDetails: true to visit each individual property page and retrieve landlord display names, usernames, account tenure, response ratings, house rules, and public contact phone numbers.
• Automated Anti-Bot Protection: Built-in session management seamlessly handles challenge verification in the cloud without requiring manual intervention.
• Instant Cloud Export: Stream results directly to Google Sheets, push data via Webhooks, or download flat CSV/Excel files.

---

📥 Input Parameters

Configure extraction runs in the Apify Console or pass a JSON payload programmatically:

Parameter	Type	Default	Description
location	array	["Austin, TX"]	Array of US cities, neighborhoods, ZIP codes, or FurnishedFinder region IDs (e.g. ["Austin, TX", "Denver, CO"]).
maxItems	integer	50	Maximum listings to save across all locations. Set to 0 for unlimited (all available matching listings).
includeDetails	boolean	false	When true, opens each listing's detail page to extract landlord names, profiles, phone numbers, and full descriptions.
detailConcurrency	integer	5	Concurrent workers when includeDetails is enabled. Min: 1, Max: 10.
proxyConfiguration	object	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}	Managed proxy settings. Automatically manages a residential session for stable connectivity.

---

📊 Extracted Data Fields

Every scraped record includes clean, normalized fields structured for real estate analytics:

🏠 Property & Rental Details

Field	Type	Description	Coverage
listingId	string	Unique alphanumeric FurnishedFinder listing identifier	🟢 High (100%)
title	string	Marketing headline of the property listing	🟢 High (100%)
url	string	Direct public URL to the property listing	🟢 High (100%)
propertyType	string	Type classification (e.g. Entire Apartment, Private Room, House)	🟢 High (100%)
monthlyRent	number	Numeric monthly rental rate in USD	🟢 High (100%)
bedroomCount	number	Number of dedicated bedrooms	🟢 High (100%)
bathroomCount	number	Number of bathrooms	🟢 High (100%)
bathroomType	string	Bathroom privacy (Private or Shared)	🟢 High (95%+)
totalSleeps	number	Maximum accommodated guest capacity	🟢 High (100%)
laundryType	string	Laundry setup (In Unit, In Building, None)	🟢 High (95%+)
amenities	array	List of amenities (e.g. WiFi, AC, Parking, Pet Friendly)	🟢 High (98%+)
availableDate	string	Available move-in date string or Available	🟢 High (100%)
isAvailableNow	boolean	true if listing is immediately available for occupancy	🟢 High (100%)
minimumStayDays	number	Minimum booking stay required by host in days	🟢 High (95%+)
latitude	number	GPS latitude coordinate	🟢 High (98%+)
longitude	number	GPS longitude coordinate	🟢 High (98%+)

📸 Photos & Media

Field	Type	Description	Coverage
featuredPhoto	string	URL of the primary featured high-resolution photo	🟢 High (100%)
photos	array	Array of high-resolution property image URLs	🟢 High (95%+)

👤 Landlord Contact & Host Verification

Field	Type	Description	Coverage
landlordName	string	Host full display name (with includeDetails: true)	🟢 High (Detail Mode)
landlordUsername	string	Unique FurnishedFinder landlord profile handle	🟢 High (Detail Mode)
landlordPhone	string	Direct landlord phone number (when published publicly)	🟡 Conditional
landlordProfileUrl	string	Direct link to landlord profile storefront	🟢 High (Detail Mode)
isGoodResponder	boolean	Badge indicating high host responsiveness	🟢 High (100%)
isIdentityVerified	boolean	Host identity verification check status	🟢 High (Detail Mode)
isPropertyVerified	boolean	Host property ownership verification check status	🟢 High (Detail Mode)
accountTenure	string	Account longevity (e.g. Member since 2021)	🟢 High (Detail Mode)
scrapedAt	string	ISO timestamp of extraction	🟢 High (100%)

---

💻 Sample Output Record

{
  "listingId": "489123",
  "title": "Charming Modern 1BR Mid-Century Gem Near St. David's",
  "url": "https://www.furnishedfinder.com/property/489123",
  "propertyType": "Entire Apartment",
  "monthlyRent": 2150,
  "bedroomCount": 1,
  "bathroomCount": 1,
  "bathroomType": "Private",
  "totalSleeps": 2,
  "laundryType": "In Unit",
  "amenities": [
    "High-Speed WiFi",
    "Air Conditioning",
    "Dedicated Workstation",
    "Covered Parking",
    "Washer/Dryer",
    "Pet Friendly"
  ],
  "availableDate": "2026-12-01",
  "isAvailableNow": false,
  "minimumStayDays": 30,
  "latitude": 30.2849,
  "longitude": -97.7341,
  "city": "Austin",
  "state": "TX",
  "featuredPhoto": "https://img.furnishedfinder.com/properties/489123/main.jpg",
  "photos": [
    "https://img.furnishedfinder.com/properties/489123/main.jpg",
    "https://img.furnishedfinder.com/properties/489123/living.jpg"
  ],
  "landlordName": "Marcus Sterling",
  "landlordUsername": "msterling_rentals",
  "landlordPhone": "+15125550198",
  "isGoodResponder": true,
  "isIdentityVerified": true,
  "isPropertyVerified": true,
  "accountTenure": "5+ years",
  "searchLocation": "Austin, TX",
  "scrapedAt": "2026-11-10T13:30:00.000Z"
}

---

💡 Practical Input Configurations

1. Fast Metropolitan Catalog Sweep

Collect basic rental parameters (rent, beds, baths, location, availability) across Austin and Dallas without detail enrichment for high-speed analysis:

{
  "location": ["Austin, TX", "Dallas, TX"],
  "maxItems": 250,
  "includeDetails": false
}

2. Deep Landlord Lead Generation

Extract full landlord profiles, verification records, and public contact phone numbers across Southern California travel nurse hubs:

{
  "location": ["San Diego, CA"],
  "maxItems": 100,
  "includeDetails": true,
  "detailConcurrency": 6
}

3. ZIP Code Level Micro-Market Analysis

Target properties in the immediate vicinity of major healthcare campuses using specific postal codes:

{
  "location": ["77030"],
  "maxItems": 150,
  "includeDetails": false
}

4. Cross-Country Healthcare Travel Corridor

Monitor furnished housing inventory across multiple popular travel nurse assignment cities in a single batch extraction:

{
  "location": ["Phoenix, AZ", "Houston, TX", "Tampa, FL"],
  "maxItems": 300,
  "includeDetails": false
}

5. Verified Host Lead Outreach

Generate a targeted lead list of high-responsiveness property owners with verified identity badges:

{
  "location": ["Atlanta, GA"],
  "maxItems": 75,
  "includeDetails": true,
  "detailConcurrency": 5
}

---

🚀 Step-by-Step Usage Guide

Via Apify Console

1. Navigate to Furnished Finder Scraper on the Apify Store.
2. Click Try for free or Start.
3. Under Locations, specify one or more US cities (e.g. Denver, CO, Seattle, WA).
4. Set your target maxItems limit (e.g. 50 for quick validation, 500 for a comprehensive market pull).
5. (Optional) Enable Scrape landlord & full details if your project requires landlord profiles and contact numbers.
6. Click Save & Start.
7. Once finished, download the data in CSV, Excel, or JSON format.

Programmatic Python Integration

Integrate FurnishedFinder listings into your Python data pipeline using apify-client:

from apify_client import ApifyClient
import pandas as pd

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "location": ["Nashville, TN"],
    "maxItems": 150,
    "includeDetails": False,
}

run = client.actor("haketa/furnishedfinder-scraper").call(run_input=run_input)
items = client.dataset(run["defaultDatasetId"]).list_items().items

df = pd.DataFrame(items)
print(df[["title", "monthlyRent", "bedroomCount", "availableDate"]].head())

Programmatic Node.js Integration

Integrate mid-term housing search results into your Node.js backend:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const input = {
    location: ['Miami, FL'],
    maxItems: 100,
    includeDetails: false,
};

const run = await client.actor('haketa/furnishedfinder-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Successfully scraped ${items.length} furnished rentals in Miami.`);

---

🎯 High-Impact Business Applications

Mid-Term Rental Underwriting

Real estate investors analyzing prospective 30-day furnished properties can benchmark historical monthly rent figures against local Airbnb average daily rates (ADR) and traditional 12-month lease rates to calculate optimal cash-on-cash yield.

Corporate Relocation & Staffing Agencies

Healthcare staffing firms placing travel nurses on 13-week hospital contracts can maintain live housing availability feeds, allowing recruiters to match nurses with verified apartments before contract start dates.

Insurance Housing Displacement Solutions

Temporary relocation agencies can instantly query furnished homes matching exact bedroom counts and pet policies when emergency housing is required for displaced policyholders.

Co-Hosting & Property Management Pitching

Boutique hospitality operators can identify un-optimized mid-term listings and reach out directly to property owners with professional co-hosting or interior design services.

---

💡 Pro Tips for Best Performance

1. Start with Listings-Only First: Run wide scans with includeDetails: false to map an entire metro area in seconds. Once you have filtered your target properties by rent or minimum stay, run a targeted run with includeDetails: true on your shortlist.
2. Direct Region Slugs: If you know the standardized FurnishedFinder region slug (e.g. us--tx--houston), enter it directly into location to bypass the autocomplete resolution step.
3. Map Coordinates in BI Tools: Ingest latitude and longitude fields into Tableau, PowerBI, or Google My Maps to visualize distance radii from major hospitals and corporate business districts.

---

❓ Frequently Asked Questions

Do I need a FurnishedFinder account or login credentials?
No. The scraper runs entirely over public catalog endpoints without requiring user login, account credentials, or browser extensions.

How does pagination work when requesting 1,000+ listings?
FurnishedFinder serves listing cards in 250-record batches. The scraper iterates through consecutive pagination requests automatically, collecting hundreds to thousands of records until your requested limit is reached or the city catalog is exhausted.

Why are landlord phone numbers not present on every listing?
FurnishedFinder permits landlords to choose whether their phone number is visible publicly or whether contact must occur via platform messaging. When a landlord makes their phone number public, it is captured in landlordPhone.

What is considered a mid-term rental on FurnishedFinder?
FurnishedFinder specializes in furnished rentals with a minimum stay requirement of 30 days, avoiding municipal short-term vacation rental hotel taxes.

Can I run the scraper across multiple cities simultaneously?
Yes. Provide an array of locations (e.g. ["Atlanta, GA", "Charlotte, NC", "Raleigh, NC"]). The scraper processes each city sequentially, deduplicating records across the combined run.

How often does FurnishedFinder inventory update?
FurnishedFinder listings update in real time as landlords add properties, adjust monthly rates, or update availability calendars. Scheduling a weekly run gives you an accurate pulse on newly available units.

What formats can I export the data to?
You can export results directly from the Apify Console into CSV, JSON, Excel (XLSX), XML, or HTML. You can also fetch the dataset programmatically using the Apify REST API or sync with Google Sheets via the Apify Google Sheets integration.

Does detail mode increase run duration?
Yes. Enabling includeDetails: true fetches each property's dedicated detail page to extract landlord names, full descriptions, and public phone numbers. We recommend setting detailConcurrency: 5 to balance throughput and reliability.

---

🔗 Related Real Estate Scrapers

Expand your property intelligence with these complementary tools:

• Zillow Scraper — Extract real estate sales, rental comps, and home valuation metrics.
• Redfin Scraper — Scrape active MLS property listings, tax history, and agent contacts.
• Airbnb Scraper — Collect short-term vacation rental pricing, occupancy, and superhost leads.
• LoopNet Scraper — Extract commercial real estate listings, cap rates, and broker details.

---

📋 Changelog

Version 1.2 — 2026-11

• Deep Pagination Unlocked: Fully removed rigid page limits; multi-page queries now paginate continuously up to 1,000+ listings or complete city inventory exhaustion.
• Fast Prefill Optimization: Set default prefill volume to 50 listings for swift, cost-effective verification runs under 90 seconds.
• Schema Hardening: Set minimum: 0 and default: 0 across integer limits with clean empty-run fallbacks.
• Enhanced Data Sanitization: Standardized numerical rent parsing, fee normalization, and photo URL structures.
• Documentation Upgrade: Comprehensive overhaul with field coverage indicators, SEO taxonomy, and architecture specifications.

Version 1.1 — 2026-10

• Added automated Cloudflare session recovery engine.
• Integrated detail page enrichment for landlord profiles and public phone numbers.
• Added support for direct region slug queries.

Version 1.0 — 2026-10

• Initial public release of Furnished Finder Scraper.