Furnished Finder Scraper and Rental Price Monitor

Collect public furnished monthly rental listings from Furnished Finder, including advertised rent, bedrooms, bathrooms, availability, amenities and listing links. Use a city search for a current snapshot, or save a monitor to receive newly observed rentals and price changes. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

What does this Actor extract?

This Actor searches US cities on Furnished Finder. It suits rental market research, corporate housing comparisons and recurring searches for furnished accommodation. Choose an entire unit or a room, apply a monthly budget, and require amenities such as pets allowed or utilities included.

The output contains:

• Rental identity: source listing ID, title, canonical property URL and city slug.
• Advertised terms: monthly price and currency, bedrooms, bathrooms, bathroom type, sleeping capacity and minimum stay.
• Availability: the source's availability text, a calendar date when one is supplied, and its available-now flag.
• Amenities and images: the public amenity list, laundry type, pets and utilities flags, photo URLs and an image for the overview.
• Location and source badges: approximate coordinates, fast-responder and recently-added flags, plus the observation timestamp.
• Full listing record (on by default): description, square feet, city and state, rating and reviews, bed types, maximum occupancy, house rules, fees (deposit, cleaning), booked periods from the calendar, nearby hospitals and every photo.
• Host profile: display name, username, tenure on Furnished Finder, verifications (email, phone, ID), city, state, rental license where given, biography and photo, plus a lead_score from 0 to 100 (verified, established, reviewed, complete listings score higher).

Coordinates are approximate. A source badge is the source's classification, not an independent verification. This Actor does not provide landlord email addresses, private messages, booking confirmation or a history from before your first run.

Input

Field	Purpose	Default
locations	Cities as Austin, TX, slugs such as us--tx--austin, or housing URLs	Empty
listingUrls	/property/ links or ids such as 1010674_1, read with full details	Empty
location	A single city, used only when the two fields above are empty	Austin, Texas
maxResults	Listings saved per run across all locations, 1 to 100,000	10
includeDetails	Add the full listing record and host profile (one extra request per listing)	true
minPrice, maxPrice	Inclusive advertised monthly rent bounds in USD	Unrestricted
minBedrooms, minBathrooms	Minimum room counts	Unrestricted
propertyType	entire_unit or room	Both
petsAllowed	Require the pets-allowed amenity	false
utilitiesIncluded	Require the utilities-included amenity	false
moveInDate, moveOutDate	Optional availability window using YYYY-MM-DD	Unrestricted
onlyChanges	Enable a persistent monitor	false
monitorId	Your identifier for one saved search	Derived from search input
emitInitial	Export the first monitor baseline	true
resetMonitor	Replace this monitor's baseline after a successful run	false

Set filters in these fields rather than pasting a housing URL with query parameters. false for a required-amenity field leaves that amenity unrestricted; it does not mean pets or utilities must be absent. A move-out date requires a move-in date and must be later.

Example input

{
  "locations": ["Austin, TX", "Nashville, TN"],
  "maxResults": 10,
  "maxPrice": 2000,
  "minBedrooms": 2,
  "petsAllowed": true
}

This selects advertised pet-friendly rentals with at least two bedrooms and monthly rent up to $2,000. If your conditions match nothing, a successful empty dataset is possible. Invalid inputs and failed source responses fail the run rather than being presented as a successful empty search.

Output

A listing read on October 15, 2026 (long texts and lists shortened here; listings and prices change):

{
  "listing_id": "450417_1",
  "title": "1BR Fully-Furnished in Pro-Designed Luxury East Austin/Downtown Condo Available",
  "url": "https://www.furnishedfinder.com/property/450417_1",
  "location": "us--tx--austin",
  "search_location": "Austin, TX",
  "price": 1993.0,
  "currency": "USD",
  "price_period": "month",
  "property_type": "Room - Condo",
  "rental_type": "room",
  "bedrooms": 1,
  "bathrooms": 1,
  "bathroom_type": "Private Bath",
  "sleeps": 1,
  "available_date": "2026-10-31",
  "availability_text": "Available: Oct. 31, 2026",
  "available_now": false,
  "minimum_stay_days": 30,
  "pets_allowed": false,
  "utilities_included": false,
  "amenities": [
    "airConditioning",
    "cableTV",
    "dedicatedWorkspaceForLaptops",
    "dishwasher",
    "elevator"
  ],
  "laundry_type": "IN_UNIT",
  "fast_responder": false,
  "recently_added": false,
  "latitude": 30.267523652540387,
  "longitude": -97.73224613325195,
  "image": "https://www.furnishedfinder.com/_pserp_/450417/1/450417_1_61963253-full.png",
  "images": [
    "https://www.furnishedfinder.com/_pserp_/450417/1/450417_1_61963232-full.png",
    "https://www.furnishedfinder.com/_pserp_/450417/1/450417_1_61963229-full.jpg"
  ],
  "landlord_name": "Alex P.",
  "source": "furnishedfinder",
  "scraped_at": "2026-10-15T10:30:41.673295+00:00",
  "lead_score": 84,
  "description": "Ready to live somewhere you love?\t\nA place that *feels* like home?\t\nIve been lucky enough to experience this.\t\nNow, I wa...",
  "space_description": null,
  "neighborhood_description": null,
  "square_feet": 1000,
  "city": "Austin",
  "state": "Texas",
  "rating": 5,
  "review_count": 11,
  "reviews": [
    {
      "title": "Great place to stay!",
      "text": "I had a great experience staying here. The apartment was clean, comfortable, well furnished, and had everything I needed for an extended stay. The building is very well maintained, with great amenities and a friendly, helpful staff. The location is also excellent, with plenty of restaurants, coffee shops, and things to do within walking distance.",
      "reviewer": "Rikhil S",
      "stars": 5,
      "reply": ""
    }
  ],
  "beds": [
    "Queen Bed"
  ],
  "max_occupancy": 4,
  "house_rules": {
    "maxTotalOccupancy": "4",
    "maxVehicles": "1",
    "petsNotAllowed": "Not Allowed",
    "smokingNotAllowed": "Not Allowed"
  },
  "fees": [
    {
      "type": "Deposit (Refundable)",
      "amount": 1250.0
    },
    {
      "type": "Cleaning Fee",
      "amount": 199.0
    }
  ],
  "nearby": [
    {
      "name": "U T Medical Branch",
      "distance": "0.8 miles away",
      "type": "hospital"
    },
    {
      "name": "Dell Seton Medical Center at The University of Texas",
      "distance": "0.9 miles away",
      "type": "hospital"
    }
  ],
  "available_from": "2026-10-31",
  "booked_periods": [
    {
      "start": "2026-02-19",
      "end": "2026-10-31"
    }
  ],
  "availability_updated": "2026-09-25",
  "landlord_username": "Alexpyatetsky",
  "landlord_tenure": "4 years, 6 months",
  "landlord_city": "Austin",
  "landlord_state": "TX",
  "landlord_verified": [
    "Email verified",
    "Phone number verified",
    "ID verified"
  ],
  "landlord_license": null,
  "landlord_type": null,
  "landlord_bio": "Very respectful, clean and organized person looking for a roommate with similar values....",
  "landlord_photo": "https://staticusers.furnishedfinder.com/a7836ec0-1b7d-4dfc-9b0f-857fc0870570.jpg"
}

The default dataset contains the complete records. Open Output → Overview for the main comparison columns, or export all fields to retain images and amenities. price is an advertised monthly amount, not the complete cost of a stay. Deposits, cleaning fees and other terms may require reviewing the listing. A source price of zero is not evidence of free accommodation.

The run's key-value store also contains SUMMARY, with the number of collected and exported listings. Null dates mean the source did not supply a date in the supported format; consult availability_text instead of treating null as immediately available.

Run a saved monitor

Set onlyChanges to true, choose a monitorId, then save the input as an Apify Task. Schedule that Task at an interval suitable for your use case. Start with a daily schedule and prevent overlapping runs of the same monitor.

On the first run, emitInitial: true exports the baseline as new observations. Set it to false to seed the baseline without exporting those rows. Subsequent runs export new, price_changed or details_changed records. Changed records include previous_price, monitor_id and detected_at. The price comparison uses the last successful observation of that listing.

Each monitor keeps state in a named key-value store belonging to the account that runs it. It remembers up to 5,000 listings for 90 days. A listing seen again after its entry expires can be reported as new. Changing the search input creates a separate automatic monitor unless you provide an explicit ID. Use a new ID when comparing unrelated searches.

This is observation-based monitoring. A newly observed listing may have existed before your first scan. Search ranking, promotions and inventory changes can move records into or out of a limited result window. The Actor does not classify missing listings as rented, removed or unavailable, and it cannot detect a change to a listing that was outside the scanned window. Increase coverage deliberately when a broader comparison is required.

Pricing

The base result price is $0.005 per exported listing or change, equivalent to $5 per 1,000 results. The base start event is $0.00005 per run per allocated GB, with a minimum of one event. At 512 MB, a ten-row run therefore has a base event charge of $0.05005. Higher Apify Store tiers receive progressive discounts; the Pricing tab shows the currently applicable rates and platform usage terms.

Unchanged records and a seed-only baseline are not pushed to the dataset and do not incur result-event charges. Runs can still incur the start event and applicable platform costs. Set a maximum charge in Apify as an additional spending bound. When the result budget is exhausted, unexported changes are not remembered as delivered.

Use cases

• Compare furnished monthly rental prices across selected US cities.
• Maintain a housing shortlist for relocations or temporary assignments.
• Track asking-price changes within a repeatable rental search.
• Feed source-linked observations into a spreadsheet or your own dashboard.

FAQ

Does this book a property? No. Contact the listing through Furnished Finder and confirm the current terms separately.

Is a Furnished Finder login required? No. The Actor collects public search listings and does not use customer login sessions.

Can I search multiple cities? Yes, list them in locations. maxResults counts across all of them, in the order given. For monitors, one saved Task per city keeps baselines separate.

Can I obtain every listing? Yes. A run pages through a city's whole result list in one fixed order: all 2,155 Austin listings with full details took 102 seconds in a test on October 15, 2026, without a proxy. Raise maxResults above the city's count.

What does a run without details return? Set includeDetails: false for the search card only (no description, host profile or reviews); all 2,155 Austin listings took 13 seconds that way.

Does it give the host's phone or email? No. Furnished Finder shows neither to visitors; the Actor returns the host's public profile.

Why did a monitor return zero rows? It may have found no tracked changes, seeded its first baseline, or matched no rentals. Check SUMMARY and the run log.

Can two runs share a monitor ID? Sequential runs can. Concurrent runs can overwrite each other's baseline, so schedule one active run per monitor.

What happens after an output write fails? The run fails and does not advance its monitor baseline. Some earlier rows may already exist in the dataset; use listing_id when deduplicating retried deliveries.

What does resetting do? With onlyChanges: true, resetMonitor: true replaces only the selected monitor after a successful run. Turn it off after that run.

Is collecting public rental data legal? Your use remains subject to applicable law, source terms and data protection obligations. Do not use the output for unsolicited bulk outreach or infer permission to contact someone from a public listing. GDPR and CAN-SPAM obligations can apply to downstream processing and communications.

How do I get support? Open an issue with the run URL, input and expected result. If a successful run helped your work, an honest Store review is welcome; no incentive is offered.

Related Actors

For other rental sources, see Zumper Rental Scraper, Craigslist Real Estate Scraper and SpareRoom Scraper.

Keywords: Furnished Finder scraper, monthly rental data, furnished rental API, rental price monitor, midterm rentals, corporate housing data, travel nurse housing, furnished apartments, rental CSV export, rental availability, rental market research, Austin rentals, pet friendly rentals, rental change feed, scheduled rental scraper.