# Changelog of Nehnutelnosti.sk Scraper - Slovakia Property Listings & Prices (`sian.agency/nehnutelnosti-property-scraper`) Actor

- **URL**: https://apify.com/sian.agency/nehnutelnosti-property-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/nehnutelnosti-property-scraper.md

## Changelog

All notable changes to Nehnutelnosti.sk Scraper - Slovakia Property Listings & Prices will be documented in this file.

### 1.0.0 (2026-09-27)

#### 🎉 Nehnutelnosti.sk Scraper - Launch!

- **Slovak property search** - Flats, houses, land, holiday homes and commercial space from nehnutelnosti.sk, for sale, rent, sublet, auction or wanted-to-buy
- **Price per m² wherever the listing gives a price and area** - Asking price and price per square metre in EUR, with "price on request" listings flagged instead of shown as zero
- **Every region and the big cities** - All 8 Slovak regions, 10 cities, the five Bratislava districts, and any other search you paste
- **Agency on every row** - The agency or private owner behind each advert, with the agency's website and office address
- **Full listing detail** - GPS, floor, construction, year built, energy class, the attribute list, every photo and the agency's IČO when you open listings in full
- **Price and area bands** - Filters the site applies itself, so narrow searches return only matching listings

#### 💎 User Benefits

- Property analysts get a Bratislava or regional asking-price table in minutes instead of paging through the site
- Agencies build lead lists by district without copying adverts by hand
- Each listing is returned once per run, even when two searches overlap, and inputs that fail cost nothing
- Export to CSV, Excel or JSON, or pull the data into your own tools through the API

#### 🎯 Use Cases

- A property analyst tracking price per m² in Bratislava districts every week
- A brokerage mapping which agencies hold stock in Košice and Žilina
- A buy-to-let investor comparing Slovak rents with sale prices for the same flat size
- An agency reading wanted-to-buy adverts to match buyers with new stock