Furnished Finder Fast

Scrapes rental listings and host profiles from Furnished Finder. Extracts property details, images, pricing, and optionally, host contact information like email, phone number, and hobbies.

Key Features

• Scrape Listings: Fetches detailed furnished rental data, including descriptions, images, and prices.
• Extract Host Profiles: Optional extraction of host contact details (name, email, phone, hobbies).
• Proxy Support: Works with Apify proxies or custom proxy configurations to avoid rate limits.
• Concurrency: Processes multiple listings simultaneously for speed.
• Retry Logic: Automatically handles network failures.

Pricing (Gold Discount)

• $0.003 per listing: For listings without host contact info.
• $0.005 per listing: For listings with full host contact information.

How to Use

Input Configuration

The actor accepts input via JSON. The only required parameter is urls.

{
  "urls": [
    "https://www.furnishedfinder.com/housing/us--ga--atlanta?max-price=3850&move-in-date=2025-08-06"
  ],
  "hostProfiles": false,
  "concurrency": 10,
  "proxy": {
    "useApifyProxy": true
  }
}

Input Parameters

• urls (array of strings, required): One or more Furnished Finder search URLs to scrape.
• hostProfiles (boolean, optional, default: false): Set to true to enable scraping of host contact information.
• concurrency (integer, optional, default: 10, min: 1, max: 100): The maximum number of listings to process concurrently.
• proxy (object, optional): Proxy configuration. Use {"useApifyProxy": true} for Apify's proxy service, or provide a custom proxy URL string.

Running the Actor

Via Apify Console: Paste your input JSON into the console's input form and run the actor.

Via API: Use the Apify API client for your language.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run_input = {
    "urls": ["https://www.furnishedfinder.com/housing/us--ny--newyork"]
}
run = client.actor("rigelbytes/furnished-finder-fast").call(run_input=run_input)

Output

The actor outputs a dataset of listings. Each item contains structured data for a property, and if enabled, a nested object with the host's profile details. The output format is consistent and ready for integration or analysis.