Furnished Finder Scraper

What Furnished Finder Scraper can do

• Two input modes. Two input modes: search by free-text city ("Houston, TX") or paste Furnished Finder search and property URLs.
• Auto-pagination. Forward auto-pagination with no page limit by default; Max listings still caps the total returned at 20 unless you raise or remove it. Max pages and Max listings are two separate, optional caps, so you control exactly how far a run goes.
• Verified filters. Verified filters that narrow results server-side: price range, property type, minimum bedrooms, minimum bathrooms.
• Optional detail enrichment. Optional detail enrichment: turn it on for description, square footage, rating, review count, individual guest reviews, utilities, house rules, fees and a full amenity list, or leave it off for listing-card fields only.
• Per-record output. Concurrent per-listing enrichment with per-record output, so a stopped run keeps every listing finished so far.
• Resume and monitor. Resume a large catalogue walk across separate runs without re-scraping what a prior run already saved, or monitor a search on a schedule and get back only new and changed listings.

Choose what to collect

These inputs let you configure Furnished Finder Scraper - Rentals, Prices & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "00000001_1",
  "propertyId": "00000001",
  "unitId": "1",
  "url": "https://www.furnishedfinder.com/property/00000001_1",
  "name": "Sample Furnished Rental Near Downtown",
  "propertyType": "House",
  "propertyTypeClass": "entire_unit",
  "bedroomCount": 2,
  "bathroomCount": 1,
  "bathroomType": "Private Bath",
  "totalSleeps": 4,
  "laundryType": "In-Unit W/D",
  "priceFormatted": "$2,000/month",
  "priceValue": 2000,
  "priceCurrency": "USD",
  "latitude": 29,
  "longitude": -95,
  "city": "Houston",
  "state": "TX",
  "encodedLocationName": "us--tx--houston",
  "isAvailableNow": true,
  "availableOnDate": "Available",
  "minimumStayInDays": 30,
  "amenities": [
    "airConditioning",
    "wifi",
    "dishwasher"
  ],
  "photos": [
    "https://staticproperties.furnishedfinder.com/00000001/1/00000001_1_00000000-full.jpg"
  ],
  "photoCount": 1,
  "description": "Full property description appears here when Fetch full property details is on.",
  "neighborhoodDescription": "Neighborhood summary text.",
  "spaceDescription": "Space summary text.",
  "squareFootage": 1200,
  "avgRating": 4.5,
  "totalReviewCount": 1,
  "reviews": [
    {
      "reviewId": "00000001",
      "reviewerName": "Jane Example",
      "reviewerImage": null,
      "starRating": 5,
      "title": "Great stay",
      "text": "Clean and comfortable, great communication.",
      "submissionDate": "2026-01-01",
      "reply": null
    }
  ],
  "utilitiesIncluded": true,
  "minimumStayDays": 30,
  "houseRules": [
    {
      "name": "No smoking",
      "description": "Smoking is not allowed."
    }
  ],
  "fees": [
    {
      "type": "Cleaning",
      "amount": "$100"
    }
  ],
  "detailAmenities": [
    {
      "name": "Air Conditioning",
      "value": "airConditioning"
    }
  ],
  "bedroomsDetail": [
    {
      "title": "Bedroom 1",
      "type": "Queen Bed"
    }
  ],
  "bathroomsDetail": [
    {
      "title": "Bathroom 1",
      "type": "Full Bath"
    }
  ],
  "searchLocation": "Houston, TX",
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Ways to use this data

• Furnished-rental and corporate housing platforms: build a comparison database of monthly rentals across cities to spot underpriced or overpriced listings.
• Real estate investors and property managers: track competitor pricing, amenities and availability signals in a target market.
• Relocation and travel-nurse agencies: match clients to available furnished rentals by city, bedroom count and budget.
• Market researchers and data teams: build historical pricing and amenity datasets for the monthly-rental market.
• Landlords and hosts: monitor how a market's listings, house rules and fees change over time on a recurring schedule.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor