# Furnished Finder Corporate Housing Scraper (`devilscrapes/furnished-finder-corporate-housing-scraper`) Actor

Scrape live furnished corporate-housing listings from FurnishedFinder.com by city or custom map viewport. Get price, bed/bath counts, and photos for travel-nurse, relocation, and PropTech teams tracking available units by metro. Midterm rental data.

- **URL**: https://apify.com/devilscrapes/furnished-finder-corporate-housing-scraper.md
- **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community)
- **Categories:** Real estate
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 result row emitteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

<div align="center">
  <img src=".actor/icon.svg" width="160" alt="Devil Scrapes mark" />

## Furnished Finder Corporate Housing Scraper

**💰 $4.20 / 1 000 listings**  ·  pay only for results  ·  no credit card to try

*We do the dirty work so your dataset stays clean.* 😈

Scrape live furnished corporate-housing listings from FurnishedFinder.com by city or custom map viewport. Get price, bed/bath counts, and photos for travel-nurse, relocation, and PropTech teams tracking available units by metro.

</div>

***

### 🎯 What this scrapes

FurnishedFinder.com lists 30+ day furnished corporate-housing rentals for traveling nurses, corporate relocations, and remote workers. This Actor calls the site's own public GraphQL search API directly — by city/state or a custom map bounding box — and works around its hard 50-result-per-viewport cap with recursive quadrant tiling, so a dense metro like Austin or Houston doesn't get silently truncated at page one.

### 🔥 What we handle for you

- 🗺️ **Recursive quadrant tiling** — automatically splits a dense metro's map viewport into quadrants to work around FurnishedFinder's hard 50-result-per-search cap, so you get the full listing set, not just page one.
- 🧹 **Cross-quadrant deduplication** — the same listing surfacing in overlapping quadrants is written once, keyed by listing ID.
- 🧯 **Per-quadrant fault isolation** — one bad or empty quadrant is logged and skipped; it never fails the whole run.
- 🏙️ **~100-metro city lookup** — pass a city + state and skip hand-drawing a bounding box; power users can still supply exact lat/lng viewports.
- 🧊 **Clean, typed dataset rows** — Pydantic-validated, ISO-8601 timestamps, stable listing IDs, JSON / CSV / Excel export straight from the Apify Console.
- 💰 **Pay-Per-Event pricing** — you only pay for results that hit your dataset. No data, no charge.

### 💡 Use cases

- Travel-nurse and corporate-relocation staffing agencies refreshing available-unit inventory by metro.
- Corporate-housing operators tracking competitor pricing and availability.
- PropTech researchers building a point-in-time dataset of furnished-rental supply.
- Lead generation — surface newly listed units in a target metro on a schedule.

### ⚙️ How to use it

1. Click **Try for free** at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click **Start**. Output streams into the run's dataset.
4. Export from **Storage → Dataset** as JSON, CSV, or Excel — or fetch via the API.

### 📥 Input

| Field | Type | Required | Default | Notes |
|---|---|:--:|---|---|
| `city` | `string` | no | 'Austin' | US city to search, e.g. "Austin". Must be paired with State. Matched case-insensitively against a built-in ~100-metro… |
| `state` | `string` | no | 'TX' | 2-letter USPS state code paired with City, e.g. "TX". |
| `minLatitude` | `number` | no | '—' | Direct viewport override — minimum latitude (-90..90). Required together with Max latitude, Min longitude, and Max… |
| `maxLatitude` | `number` | no | '—' | Direct viewport override — maximum latitude (-90..90). Required together with Min latitude, Min longitude, and Max… |
| `minLongitude` | `number` | no | '—' | Direct viewport override — minimum longitude (-180..180). Required together with Max longitude, Min latitude, and Max… |
| `maxLongitude` | `number` | no | '—' | Direct viewport override — maximum longitude (-180..180). Required together with Min longitude, Min latitude, and Max… |
| `maxResults` | `integer` | no | 500 | Row cap for this run; also bounds the recursive quadrant-tiling used to get past FurnishedFinder's… |
| `maxPhotosPerListing` | `integer` | no | 5 | Truncates the photo\_urls list per row, even when the source has more photos. |
| `proxyConfiguration` | `object` | no | {'useApifyProxy': True, 'apifyProxyGroups': \['BUYPROXIES94952'], 'apifyProxyCountry': 'US'} | Apify Proxy configuration. Defaults to the BUYPROXIES94952 datacenter group pinned to US — no anti-bot wall was found… |

#### Example input

```json
{
  "city": "Austin",
  "state": "TX",
  "maxResults": 5,
  "maxPhotosPerListing": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ],
    "apifyProxyCountry": "US"
  }
}
```

### 📤 Output

Every row is one dataset item.

| Field | Type | Notes |
|---|---|---|
| `listing_id` | `string` | FurnishedFinder's own listing identifier, e.g. "1041111\_1". |
| `title` | `string` | Listing name/headline. |
| `property_type` | `string` | Property type, e.g. "House", "Apartment", when the source provides it. |
| `bedroom_count` | `integer` | Number of bedrooms. |
| `bathroom_count` | `number` | Number of bathrooms (fractional, e.g. 2.5). |
| `monthly_rent_amount` | `string` | Monthly rent amount as a decimal string, e.g. "3700.00". |
| `currency` | `string` | Currency code for monthly\_rent\_amount, e.g. "USD". |
| `photo_urls` | `array` | Listing photo URLs, capped at maxPhotosPerListing. |
| `listing_url` | `string` | Best-effort derived link to the listing's detail page — unconfirmed against every listing's real URL shape. |
| `search_city` | `string` | Echo of the resolved search input — "City, ST" or "custom-bbox". |
| `scraped_at` | `string` | ISO-8601 UTC timestamp of when the row was scraped. |

#### Example output

```json
{
  "listing_id": "1041111_1",
  "title": "Spacious 3BR + Office + Bonus Family Room | Brushy Creek",
  "property_type": "House",
  "bedroom_count": 3,
  "bathroom_count": 2.5,
  "monthly_rent_amount": "3700.00",
  "currency": "USD",
  "photo_urls": [
    "https://staticproperties.furnishedfinder.com/1041111/1/1041111_1_69896931-full.jpg"
  ],
  "listing_url": "https://www.furnishedfinder.com/property/1041111",
  "search_city": "Austin, TX",
  "scraped_at": "2026-09-19T00:00:00Z"
}
```

### 💰 Pricing

Pay-Per-Event — you pay only when these events fire:

| Event | USD | What it is |
|---|---:|---|
| `actor-start` | $0.2 | One-off warm-up charge per run |
| `result-row` | $0.004 | Per unique dataset item |

Example: 1 000 listings at the rates above ≈ **$4.20**. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

### 🚧 Limitations

- US listings only — FurnishedFinder does not list outside the US.
- Search-time fields only: full description/amenities and detail-page fields (exact address, host contact, reviews) are out of scope for v1.
- listing\_url is a best-effort derived link from the listing ID; it has not been confirmed against every listing's real detail-page URL.
- A single run stops at 500 quadrant queries; an extremely dense bounding box may hit that cap before exhausting Max results.

### ❓ FAQ

**Do I need a FurnishedFinder account or API key?**

No. The Actor calls FurnishedFinder's own public search API directly — no login, cookies, or key required.

**What if my city isn't in the built-in list?**

Use the direct latitude/longitude bounding-box fields instead of City/State — any US map viewport works.

**Why did my run return fewer rows than Max results?**

FurnishedFinder caps a single search at 50 results; the Actor recursively splits the map into quadrants to go past that, up to a safety cap on total queries per run. A very dense metro may still under-count at the deepest tiling level — see Limitations.

### 💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an
issue on the Actor's **Issues** tab on Apify Console — we ship
fixes weekly and we read every report.

***

<div align="center">

Built by **[Devil Scrapes](https://apify.com/DevilScrapes)** 😈 — a small fleet of
opinionated public-data Actors. Honest pricing, real engineering, zero fine print.

</div>

# Changelog

This Actor's version history is a separate document: https://apify.com/devilscrapes/furnished-finder-corporate-housing-scraper/changelog.md

# Actor input Schema

## `city` (type: `string`):

US city to search, e.g. "Austin". Must be paired with State. Matched case-insensitively against a built-in ~100-metro table; use the direct latitude/longitude fields instead for anything outside it.

## `state` (type: `string`):

2-letter USPS state code paired with City, e.g. "TX".

## `minLatitude` (type: `number`):

Direct viewport override — minimum latitude (-90..90). Required together with Max latitude, Min longitude, and Max longitude if City/State are unset.

## `maxLatitude` (type: `number`):

Direct viewport override — maximum latitude (-90..90). Required together with Min latitude, Min longitude, and Max longitude if City/State are unset.

## `minLongitude` (type: `number`):

Direct viewport override — minimum longitude (-180..180). Required together with Max longitude, Min latitude, and Max latitude if City/State are unset.

## `maxLongitude` (type: `number`):

Direct viewport override — maximum longitude (-180..180). Required together with Min longitude, Min latitude, and Max latitude if City/State are unset.

## `maxResults` (type: `integer`):

Row cap for this run; also bounds the recursive quadrant-tiling used to get past FurnishedFinder's 50-result-per-viewport cap.

## `maxPhotosPerListing` (type: `integer`):

Truncates the photo\_urls list per row, even when the source has more photos.

## `proxyConfiguration` (type: `object`):

Apify Proxy configuration. Defaults to the BUYPROXIES94952 datacenter group pinned to US — no anti-bot wall was found on this target during recon.

## Actor input object example

```json
{
  "city": "Austin",
  "state": "TX",
  "maxResults": 50,
  "maxPhotosPerListing": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All dataset items as JSON.

## `datasetItemsCsv` (type: `string`):

Same data exported to CSV.

## `datasetView` (type: `string`):

Open the run dataset in the Console.

# 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 = {
    "city": "Austin",
    "state": "TX",
    "maxResults": 50,
    "maxPhotosPerListing": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "BUYPROXIES94952"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/furnished-finder-corporate-housing-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 = {
    "city": "Austin",
    "state": "TX",
    "maxResults": 50,
    "maxPhotosPerListing": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["BUYPROXIES94952"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/furnished-finder-corporate-housing-scraper").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "city": "Austin",
  "state": "TX",
  "maxResults": 50,
  "maxPhotosPerListing": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call devilscrapes/furnished-finder-corporate-housing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,devilscrapes/furnished-finder-corporate-housing-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GRBxmcQyNmEC52jqn/builds/G3xrQlxflqmZGy81F/openapi.json