# Furnishedfinder Property Details Scraper (`alexist/furnishedfinder-property-details-scraper`) Actor

Scrape comprehensive furnished property data from FurnishedFinder.com including amenities, availability, pricing, reviews, and landlord info. Perfect for real estate analysts, rental platforms, and property market researchers.

- **URL**: https://apify.com/alexist/furnishedfinder-property-details-scraper.md
- **Developed by:** [Alex](https://apify.com/alexist) (community)
- **Categories:** Automation, Developer tools, Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## FurnishedFinder Property Scraper: Extract Rental Details Instantly

***

### What Is FurnishedFinder.com?

FurnishedFinder.com is a marketplace dedicated to furnished rentals, offering short-term and long-term housing options for travelers, relocating professionals, and corporate housing needs. The platform hosts thousands of listings with detailed property information, reviews, and availability calendars. Extracting this data manually is tedious — the **FurnishedFinder Property Scraper** automates collection, delivering structured property records with comprehensive details across 14+ categories.

***

### Overview

The **FurnishedFinder Property Details Scraper** extracts rich data from individual property listing pages on FurnishedFinder.com, including amenities, availability, reviews, and landlord information. This scraper serves:

- **Real estate analysts** tracking furnished rental market trends and pricing
- **Corporate housing teams** benchmarking available properties and features
- **Travel platforms** aggregating furnished rental inventory
- **Market researchers** studying vacation rental and corporate housing patterns

Key advantages include flexible URL input with query parameters (move dates, budget filters), the ability to capture related listings and nearby points of interest, and reliable error handling through `ignore_url_failures`.

***

### Input Format

The scraper accepts URLs with optional query parameters and configuration settings:

```json
{
  "urls": [
    "https://www.furnishedfinder.com/property/220745_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true"
  ],
  "max_items_per_url": 200,
  "ignore_url_failures": true
}
```

| Field | Description |
|---|---|
| `urls` | FurnishedFinder property detail page URLs (one or multiple) |
| `moveDate` | Target move-in date in ISO format (URL-encoded) |
| `budget.max` | Maximum monthly budget filter (URL-encoded) |
| `filters` | Additional search filters like room type or amenities |
| `availabilityMatch` | Whether to include only availability-matching results |
| `max_items_per_url` | Maximum records per URL (e.g., `200`) |
| `ignore_url_failures` | If `true`, continues if a URL fails instead of stopping |

> **Tip:** Include move date and budget parameters in URLs to capture availability-specific property snapshots and match your target audience's criteria.

***

### Output Format

**Sample output snippet:**

```json
{
  "house_rules": [
    {
      "description": "Not Allowed",
      "name": "petsNotAllowed",
      "__typename": "HouseRule"
    },
    {
      "description": "Not Allowed",
      "name": "smokingNotAllowed",
      "__typename": "HouseRule"
    }
  ],
  "amenities": [
    {
      "name": "washeranddryer",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "diningTable",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "fullSizeFridge",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "dishwasher",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "kitchen",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "microwave",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "stoveTop",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "essentialsKitchenwareBathwareLinens",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "kitchenEssentials",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "dresser",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "storage",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "elevator",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "portableFans",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "wifi",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "carbonMonoxideDetector",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "gated",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "smokeDetector",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "fireExtinguisher",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "nonSmoking",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "dedicatedWorkspaceForLaptops",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "hairDryer",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "ironBoard",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "tv",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "smartTV",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "closeToPublicTransportation",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "exerciseEquipment",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "gym",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "freeParkingOnPremises",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "parking",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "disabledParkingAvailable",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "cleaningProductsForBathroom",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    },
    {
      "name": "cleaningProducts",
      "value": {
        "count": "3"
      },
      "__typename": "Amenity"
    }
  ],
  "bathrooms": {
    "amount": 2,
    "list": [
      {
        "title": "Bathroom 1",
        "type": "",
        "__typename": "Bathroom"
      },
      {
        "title": "Bathroom 2",
        "type": "",
        "__typename": "Bathroom"
      }
    ],
    "__typename": "BathroomsInfo"
  },
  "bedrooms": {
    "amount": 2,
    "list": [
      {
        "title": "Bedroom 1",
        "type": "Queen Bed",
        "__typename": "Bedroom"
      },
      {
        "title": "Bedroom 2",
        "type": "Queen Bed",
        "__typename": "Bedroom"
      }
    ],
    "__typename": "Bedrooms"
  },
  "coordinates": {
    "latitude": 33.771335,
    "longitude": -118.200807,
    "__typename": "Coordinates"
  },
  "details": {
    "avg_rating": 0,
    "pricing_frequency": "/month",
    "city": "Long Beach",
    "description": "*We do not have central A/C but have both ceiling and floor fans in each bedroom*\n\nQuiet, gated condo by Downtown Long Beach. 2 bedrooms both come with attached baths. Includes in-unit washer/dryer and two free parking spots in a secured underground garage. Building has elevator access. Conveniently located between Orange County and Los Angeles!\n\nYou'll love the hi-speed WiFi, safe neighborhood and close proximity to restaurants, shops and entertainment.\n\nOur single story home features brand new linens and towels, a smart TV w/free Amazon Prime Video, and a fully equipped kitchen. Accessible parking and visitor parking are also available in the secured, underground garage.\n\nWhat you'll love:\n- Super fast WiFi\n- Keyless entry & contactless check-in/out\n- Smart TV w/free Amazon Prime Video\n- Shampoo, conditioner, body wash and towels included\n- Workstations and a printer for remote work\n- In-unit washer/dryer\n- Two free parking spots included",
    "id": "1010092_1",
    "minimum_stay_days": 60,
    "monthly_price": "$$3,200",
    "property_type": "Apartment",
    "square_footage": 975,
    "state": "California",
    "title": "The Seaside Siesta - Free Parking, W/D, Gym",
    "total_review_count": 0,
    "utilities_included": true,
    "neighborhood_description": "",
    "space_description": "Our home is located on the third floor of a condo building and comfortably houses up to 4 adults. It is not suitable for young children under 12 as we have neighbors that are sensitive to noise. ",
    "__typename": "Details"
  },
  "fees": [
    {
      "amount": "$$200",
      "type": "Cleaning Fee",
      "__typename": "Fee"
    },
    {
      "amount": "$$1,000",
      "type": "Deposit (Refundable)",
      "__typename": "Fee"
    }
  ],
  "other_units": [],
  "similar_rentals": [
    {
      "availability_string": "availableNow",
      "bathrooms": {
        "amount": 2,
        "list": [
          {
            "title": "Bathroom 1",
            "type": "Private Bath",
            "__typename": "Bathroom"
          },
          {
            "title": "Bathroom 2",
            "type": "Private Bath",
            "__typename": "Bathroom"
          }
        ],
        "__typename": "BathroomsInfo"
      },
      "bedrooms": {
        "amount": 3,
        "list": [
          {
            "title": "Bedroom 1",
            "type": "Queen Bed",
            "__typename": "Bedroom"
          },
          {
            "title": "Bedroom 2",
            "type": "Queen Bed",
            "__typename": "Bedroom"
          },
          {
            "title": "Bedroom 3",
            "type": "Single (Twin) Bed",
            "__typename": "Bedroom"
          }
        ],
        "__typename": "Bedrooms"
      },
      "highlights": [
        {
          "value": {
            "count": "3"
          },
          "name": "utilitiesincluded",
          "__typename": "Amenity"
        },
        {
          "value": {
            "count": "3"
          },
          "name": "washeranddryer",
          "__typename": "Amenity"
        },
        {
          "value": {
            "count": "3"
          },
          "name": "wifi",
          "__typename": "Amenity"
        },
        {
          "value": {
            "count": "3"
          },
          "name": "parking",
          "__typename": "Amenity"
        }
      ],
      "id": "628206_1",
      "image_url": "https://staticproperties.furnishedfinder.com/628206/1/628206_1_59258080-full.jpg",
      "is_favorite": null,
      "monthly_price": "$$7,890/month",
      "title": "Luxury Oceanfront High-Rise w/ Wraparound Balcony walkable to  Cafes Ocean Convention Center and Everything",
      "property_type": "Condo",
      "encoded_location_name": "us--ca--long-beach",
      "photos": [
        {
          "id": "59258080",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258080-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258081",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258081-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55092945",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55092945-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55092949",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55092949-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307126",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307126-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258076",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258076-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55092947",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55092947-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258075",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258075-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307130",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307130-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258074",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258074-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258077",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258077-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307129",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307129-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129091",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129091-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129084",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129084-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258079",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258079-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129090",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129090-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307132",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307132-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307124",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307124-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258078",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258078-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129085",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129085-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258082",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258082-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129098",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129098-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450571",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450571-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307131",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307131-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "55129103",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_55129103-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59258083",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59258083-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307125",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307125-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450572",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450572-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450573",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450573-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450574",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450574-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450575",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450575-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "56450576",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_56450576-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307127",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307127-full.jpg",
          "__typename": "PropertyPhoto"
        },
        {
          "id": "59307128",
          "caption": null,
          "image_url": "https://www.furnishedfinder.com/_pdp_/628206/1/628206_1_59307128-full.jpg",
          "__typename": "PropertyPhoto"
        }
      ],
      "__typename": "LinkedProperty"
    }
  ],
  "landlord": {
    "accept_online_payments_label": null,
    "biography": "Hi there! My name is Meghan and I am an avid traveler and frequent user of home-stays. I love the outdoors and have done everything from trekking to Machu Picchu to camping on the Great Wall of China to road-tripping around New Zealand in a campervan. I'm also an adventure enthusiast and will travel to snowboard, rock climb, camp and explore.\n\nI love to share stories and tips, so feel free to chat!",
    "city": "Long Beach",
    "confirmed_info": [
      "Email verified",
      "ID verified"
    ],
    "unconfirmed_info": [
      "Phone number unverified"
    ],
    "license_number": "",
    "name": "Meghan L.",
    "offers_worry_free_waiver_protection_label": null,
    "profile_image": "https://staticusers.furnishedfinder.com/_pv_/4ad72f81-677b-43cb-a224-31c1e0c42d07.jpg",
    "state": "CA",
    "tenure": "2 years, 8 months",
    "username": "aurin.rahman",
    "user_uuid": "994af47-490a-a18-82c-58a907",
    "display_phone": false,
    "rental_license": "",
    "__typename": "Landlord"
  },
  "nearby_poi": null,
  "property_availability": {
    "available_from_date": "09/12/2026",
    "calendar": [
      {
        "end_date": "09/12/2026 00:00:00",
        "is_occupied": true,
        "start_date": "07/01/2026 00:00:00",
        "__typename": "PropertyAvailabilityCalendarEntry"
      }
    ],
    "last_updated": "07/08/2026",
    "availability_string": "09/12/2026",
    "__typename": "PropertyAvailability"
  },
  "property_reviews": {
    "items": [],
    "total_count": 0,
    "reviewed_by_user": null,
    "__typename": "ReviewsCollection"
  },
  "property_photos": [
    {
      "caption": null,
      "id": "64010019",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010019-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010011",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010011-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010016",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010016-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010012",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010012-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010015",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010015-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010013",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010013-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010010",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010010-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010017",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010017-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010018",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010018-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010014",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010014-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010021",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010021-full.jpg",
      "__typename": "PropertyPhoto"
    },
    {
      "caption": null,
      "id": "64010042",
      "image_url": "https://www.furnishedfinder.com/_pdp_/1010092/1/1010092_1_64010042-full.jpg",
      "__typename": "PropertyPhoto"
    }
  ]
}
```

Each scraped property returns a comprehensive record with 14+ data categories:

#### Property Identification

| Field | Meaning |
|---|---|
| `Property ID` | Unique FurnishedFinder identifier |
| `URL` | Direct link to the property listing |
| `Coordinates` | GPS latitude/longitude for map integration |

#### Physical Attributes

| Field | Meaning |
|---|---|
| `Bedrooms` | Number of bedrooms in the property |
| `Bathrooms` | Number and type of bathrooms |
| `Details` | Key property specifications (square footage, furnished level, etc.) |
| `Property Photos` | URLs to all listing images and photo gallery |

#### Amenities & Rules

| Field | Meaning |
|---|---|
| `Amenities` | Full list of features (WiFi, parking, laundry, kitchen appliances, etc.) |
| `House Rules` | Tenant restrictions and property policies (pets, smoking, noise, guests) |

#### Pricing & Availability

| Field | Meaning |
|---|---|
| `Fees` | Additional costs (cleaning, service fees, deposits, utilities) |
| `Property Availability` | Calendar data showing available/blocked dates |
| `Move Date` | Earliest/latest available move-in dates |
| `Budget Match` | Whether the property fits the specified budget range |

#### Supplementary Data

| Field | Meaning |
|---|---|
| `Landlord` | Host/owner profile info (name, response rate, reviews count) |
| `Property Reviews` | Renter ratings and comments from past guests |
| `Other Units` | Related properties from the same landlord |
| `Similar Rentals` | Comparable listings on the platform |
| `Nearby POI` | Points of interest near the property (transit, schools, shops) |

***

### How to Use

1. **Find property URLs** — Navigate FurnishedFinder.com, open individual property pages, and copy the full URL including query parameters (move date, budget).
2. **Prepare your input** — Paste one or multiple property URLs into the `urls` array. Adjust `max_items_per_url` as needed.
3. **Configure filters** — Optionally add move date and budget parameters to capture availability-specific data.
4. **Enable error handling** — Set `ignore_url_failures: true` for multi-URL runs to prevent interruptions.
5. **Execute the run** — Start the actor and monitor progress in the logs.
6. **Export data** — Download results as JSON, CSV, or Excel for analysis or platform integration.

**Troubleshooting:**

- Ensure URLs point to individual property detail pages, not search results.
- URL-encoded parameters (like `%7B` for `{`) are preserved automatically.
- Properties with limited availability may return fewer "Similar Rentals" or "Other Units."

***

### Use Cases & Business Value

- **Market intelligence:** Track furnished rental pricing and amenity trends by region
- **Competitive analysis:** Compare property features, reviews, and house rules across listings
- **Platform integration:** Feed property data into rental aggregators or corporate housing platforms
- **Investment research:** Analyze landlord performance ratings and occupancy patterns
- **Corporate relocation:** Build datasets of available furnished options matching employee budgets and move dates

The FurnishedFinder Property Scraper transforms individual listings into standardized, analyzable records that power dashboards, pricing models, and sourcing decisions — eliminating hours of manual research.

***

### Conclusion

The **FurnishedFinder Property Scraper** provides a complete solution for extracting detailed furnished rental data at scale. With 14+ data categories capturing everything from amenities to nearby POI, it serves real estate teams, travel platforms, and market researchers. Start scraping today and unlock competitive intelligence in the furnished rental market.

# Actor input Schema

## `urls` (type: `array`):

Add the URLs of the Specific property urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

## `ignore_url_failures` (type: `boolean`):

If true, the scraper will continue running even if some URLs fail to be scraped.

## Actor input object example

```json
{
  "urls": [
    "https://www.furnishedfinder.com/property/220745_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/1010092_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/711052_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/814186_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/784083_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true"
  ],
  "ignore_url_failures": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.furnishedfinder.com/property/220745_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/1010092_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/711052_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/814186_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/784083_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true"
    ],
    "ignore_url_failures": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("alexist/furnishedfinder-property-details-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [
        "https://www.furnishedfinder.com/property/220745_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/1010092_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/711052_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/814186_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
        "https://www.furnishedfinder.com/property/784083_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    ],
    "ignore_url_failures": True,
}

# Run the Actor and wait for it to finish
run = client.actor("alexist/furnishedfinder-property-details-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.furnishedfinder.com/property/220745_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/1010092_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/711052_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/814186_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true",
    "https://www.furnishedfinder.com/property/784083_1?moveDate=%7B%22in%22%3A%222024-12-24%22%7D&budget=%7B%22max%22%3A10000%7D&filters=%7B%7D&availabilityMatch=true"
  ],
  "ignore_url_failures": true
}' |
apify call alexist/furnishedfinder-property-details-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=alexist/furnishedfinder-property-details-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/DbX622EfIaEc45aOa/builds/aAzSViQl9u7GrGrRc/openapi.json