Furnished Finder Scraper

What does Furnished Finder Scraper do?

Furnished Finder Scraper collects furnished monthly rental listings from public Furnished Finder housing pages. Add one or more city or area URLs, set the maximum number of listings, and receive a structured dataset with rental prices, property details, availability, coordinates, photos, and direct listing links.

The Actor is useful for furnished rental market research, housing supply monitoring, relocation research, investment analysis, and real estate data workflows. Listings are deduplicated by listing_id, and empty values are omitted from individual records so the dataset stays easier to analyze.

Why use Furnished Finder Scraper?

• Rental market research - Compare furnished monthly rent, bedroom counts, property types, and availability across cities or neighborhoods.
• Availability monitoring - Run the Actor on a schedule and compare datasets by listing_id to track new listings and changing availability.
• Relocation and housing analysis - Build a current inventory of furnished homes for traveling professionals, corporate housing teams, and relocation services.
• Automation-ready data - Export results as JSON, CSV, Excel, or XML, or connect the dataset to another application through the Apify API.
• Multi-location collection - Process several Furnished Finder housing URLs in one run while removing duplicate listings that appear in more than one source.

What data can you extract from Furnished Finder?

Field	Description
listing_id	Unique Furnished Finder listing identifier.
title	Listing title or headline.
url	Direct URL of the property listing.
source_url	Furnished Finder housing URL used for the collection.
place	Encoded Furnished Finder location, such as us--tx--austin.
city	City parsed from the listing location.
state	Uppercase state code parsed from the listing location.
property_type	Property category, such as house, apartment, condo, or townhome.
property_type_class	Furnished Finder property class grouping.
available_on	Availability text published for the listing.
is_available_now	Whether the listing is currently available when reported by Furnished Finder.
is_fully_available	Full-availability indicator when supplied by the source.
minimum_stay_days	Minimum stay duration in days.
rent_amount	Displayed monthly rent amount.
rent_currency	Currency code for the rent amount.
bedrooms	Number of bedrooms.
bathrooms	Number of bathrooms.
total_sleeps	Maximum sleeping capacity when provided.
laundry_type	Laundry setup reported for the property.
latitude	Approximate property latitude.
longitude	Approximate property longitude.
description	Listing description when available.
photos	Array of listing photo URLs.
featured_photo	Main or featured listing photo URL.
best_matched_availability_window	Object containing the best matched start_date and end_date when available.
future_availability_window	Object containing a future start_date and end_date when available.

How to use Furnished Finder Scraper

1. Open the Actor on Apify Store.
2. Add one or more public Furnished Finder housing URLs, such as a city or area page.
3. Set results_wanted to the maximum number of unique listings you need.
4. Run the Actor and review the dataset preview.
5. Download the dataset or connect it to a spreadsheet, webhook, automation, or application.

Use complete URLs from Furnished Finder housing pages. Query parameters already present in a housing URL can be used when the target page supports filters such as bedrooms, bathrooms, price, move-in date, property type, laundry, beds, or amenities.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	Austin housing URL prefilled	List of Furnished Finder housing URLs. Each item can contain a url property. City and area URLs are supported.
results_wanted	Integer	No	20	Maximum number of unique listings to save.
max_pages	Integer	No	1	Number of path variants to attempt. Keep this at 1 for standard city or area URL collections.
proxyConfiguration	Object	No	Proxy disabled	Optional Apify Proxy settings for runs that need a proxy.

The Actor also uses the Austin housing page as a fallback when no valid URL is supplied. Invalid URLs without a Furnished Finder housing location are skipped.

Output Data

Field	Type	Description
listing_id	String	Stable Furnished Finder identifier used for deduplication.
title	String	Property listing title.
url	String	Direct property detail URL.
source_url	String	Normalized housing URL associated with the record.
place	String	Encoded location slug.
city	String	City name when available.
state	String	State code when available.
property_type	String	Property type label.
property_type_class	String	Property class grouping.
available_on	String	Source availability text.
is_available_now	Boolean	Current availability flag.
is_fully_available	Boolean	Full-availability flag when supplied.
minimum_stay_days	Number	Minimum stay in days.
rent_amount	String	Formatted monthly rent.
rent_currency	String	Currency code.
bedrooms	Number	Bedroom count.
bathrooms	Number	Bathroom count.
total_sleeps	Number	Sleeping capacity.
laundry_type	String	Laundry arrangement.
latitude	Number	Approximate latitude.
longitude	Number	Approximate longitude.
description	String	Property description.
photos	Array	Photo URL list.
featured_photo	String	Featured photo URL.
best_matched_availability_window	Object	Matched availability dates with start_date and end_date.
future_availability_window	Object	Future availability dates with start_date and end_date.

Usage Examples

Basic City Collection

Collect up to 20 furnished rentals from Austin:

{
  "startUrls": [
    {
      "url": "https://www.furnishedfinder.com/housing/us--tx--austin"
    }
  ],
  "results_wanted": 20
}

Multiple Cities

Collect listings from Austin and Dallas in a single dataset:

{
  "startUrls": [
    {
      "url": "https://www.furnishedfinder.com/housing/us--tx--austin"
    },
    {
      "url": "https://www.furnishedfinder.com/housing/us--tx--dallas"
    }
  ],
  "results_wanted": 60,
  "max_pages": 1
}

Filtered Rental Research

Pass supported filters in the Furnished Finder housing URL and use a proxy configuration for a larger collection:

{
  "startUrls": [
    {
      "url": "https://www.furnishedfinder.com/housing/us--tx--austin?minBedrooms=2&maxPrice=3500"
    }
  ],
  "results_wanted": 100,
  "max_pages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

One dataset item can look like this:

{
  "listing_id": "1015869_1",
  "title": "3 Bedroom Townhome with 2 Car Garage and Utilities Included",
  "url": "https://www.furnishedfinder.com/property/1015869_1",
  "source_url": "https://www.furnishedfinder.com/housing/us--tx--austin",
  "place": "us--tx--austin",
  "city": "austin",
  "state": "TX",
  "property_type": "Condo",
  "property_type_class": "entire_unit",
  "available_on": "Available: Aug. 15, 2026",
  "is_available_now": false,
  "is_fully_available": true,
  "minimum_stay_days": 90,
  "rent_amount": "$2950.00/month",
  "rent_currency": "USD",
  "bedrooms": 3,
  "bathrooms": 2.5,
  "total_sleeps": 4,
  "laundry_type": "IN_UNIT",
  "latitude": 30.2231627,
  "longitude": -97.6986624,
  "description": "Furnished townhome with private parking and utilities included.",
  "photos": [
    "https://staticproperties.furnishedfinder.com/1015869/1/1015869_1_65768653-full.jpg",
    "https://staticproperties.furnishedfinder.com/1015869/1/1015869_1_65768657-full.jpg"
  ],
  "featured_photo": "https://staticproperties.furnishedfinder.com/1015869/1/1015869_1_65768682-full.jpg",
  "best_matched_availability_window": {
    "start_date": "2026-08-15",
    "end_date": "2026-11-13"
  },
  "future_availability_window": {
    "start_date": "2026-12-01",
    "end_date": "2027-02-28"
  }
}

Tips for Best Results

• Use housing URLs - Start with a complete Furnished Finder city or area URL rather than a general homepage URL.
• Test with a small limit - Begin with results_wanted: 20 and check the dataset before increasing the collection size.
• Use URL filters - Apply supported filters on Furnished Finder before copying the housing URL into startUrls.
• Separate locations when needed - Use one URL per city or area to make source coverage easier to compare.
• Schedule repeat runs - Daily or weekly schedules help track rental inventory and availability changes.
• Expect optional fields - A listing may omit rent, coordinates, descriptions, photos, or availability windows when Furnished Finder does not publish them.

Integrations

• Google Sheets - Review rental inventory and compare prices by city.
• Airtable - Build a searchable furnished-rental database.
• Make or Zapier - Trigger notifications, enrichment, or CRM workflows after a run.
• Webhooks - Send run events and dataset information to another service.
• Apify API - Read datasets programmatically from your applications or data pipelines.

Export Formats

Format	Best use
JSON	Applications, APIs, and data pipelines.
CSV	Spreadsheet analysis and bulk review.
Excel	Team reporting and sharing.
XML	Structured integrations and legacy systems.

Frequently Asked Questions

How many furnished rental listings can I collect?

You can request up to the results_wanted limit, subject to the number of unique listings available for the submitted locations and filters.

Can I collect multiple cities in one run?

Yes. Add multiple Furnished Finder housing URLs to startUrls; duplicate listings are saved only once by listing_id.

Can I filter listings by bedrooms or price?

Yes. Use the supported Furnished Finder filter parameters in each housing URL, such as minBedrooms, maxBedrooms, minPrice, and maxPrice.

Why are some output fields missing?

Some listings do not publish every property attribute. Empty values are removed from the record, so fields such as coordinates, descriptions, photos, or availability windows may not appear for every item.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at another interval that fits your monitoring workflow.

Can I export the dataset to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

Is it legal to collect Furnished Finder data?

Public-data collection can be legal, but you are responsible for following Furnished Finder's terms, applicable laws, privacy requirements, and any restrictions on how the data is used.

Related Actors

For other real estate data workflows from Shahid Irfan's Apify profile, see:

• Propertyfinder Scraper 🏠 - Collect UAE property listings, pricing, locations, agent details, and media links.
• DDProperty Scraper - Extract property listings for sale or rent from DDProperty.
• Zameen.com Scraper - Collect property listings and market data from Pakistan's Zameen.com.
• Private Property Scraper 🏡 - Gather South African property listings with pricing, descriptions, agent information, and images.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is intended for legitimate collection of publicly available Furnished Finder listing data. Users are responsible for complying with Furnished Finder's terms of service, applicable laws, privacy rules, and responsible data-use requirements.