Bezrealitky Real Estate Scraper

Scrapes property listings from Bezrealitky.cz, a major Czech real estate platform. Use it to extract structured data for market analysis, research, or price monitoring.

Key Features

• Comprehensive Data Extraction: Pulls detailed listings from Bezrealitky.cz.
• Filtering: Supports filtering by location, offer type (rent/sale), property type, and price range.
• Structured Output: Returns data in a clean JSON format.
• Detailed Fields: Captures:
  • Basic info (price, address, type, layout)
  • Location with GPS coordinates
  • Dimensions (surface area, land area)
  • Financials (charges, mortgage estimates, discounts)
  • Media (images, videos, links)
  • Features and amenities
• Organized Views: Provides 8 pre-organized dataset views (Overview, Pricing, Location, Media, etc.) for easier analysis.
• Pay-Per-Event Pricing: You only pay for the data you collect.

How to Use

Configure the Actor with input parameters to define your search. The main required parameter is location. You can also filter by:
* offerType (e.g., PRODEJ for sale, PRONAJEM for rent)
* estateType (e.g., BYT for flat, DUM for house)
* priceMin / priceMax
* surfaceMin / surfaceMax

Run the Actor. It will automatically find and scrape all listings matching your criteria.

Input & Output

Input: Configuration parameters set in the Actor's input schema (like location, offerType).

Output: A dataset where each item is a structured JSON object representing a property. Example output:

{
  "id": "951482",
  "url": "https://www.bezrealitky.cz/nemovitosti-byty-domy/951482-nabidka-prodej-bytu-novodvorska-praha",
  "estateType": "BYT",
  "offerType": "PRODEJ",
  "disposition": "DISP_1_KK",
  "address": "Novodvorská, Prague - Kamýk",
  "surface": 36,
  "price": 5990000,
  "currency": "CZK",
  "coordinates": { "lat": 50.0225825, "lng": 14.440491 },
  "tags": ["Equipped", "Lift", "Balcony 6 m²"],
  "mainImage": { "id": "26172706", "url": "..." },
  "scrapedAt": "2025-10-02T18:03:59.233Z"
}

The full output includes all fields shown in the original README example. Results are available in the dataset's default view and the 8 specialized views.