# Changelog of 4zida.rs Scraper - Serbia Property Listings & Prices (`sian.agency/4zida-property-scraper`) Actor

- **URL**: https://apify.com/sian.agency/4zida-property-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/sian.agency/4zida-property-scraper.md

## Changelog

All notable changes to 4zida.rs Scraper - Serbia Property Listings & Prices will be documented in this file.

### \[2026-09-08]

#### 🎉 4zida.rs Scraper - Launch!

- **Serbia-wide coverage** - the cities and towns of 4zida.rs's own place index, across all five property surfaces the portal publishes (apartments, houses, commercial premises, lots, garages/parking), for sale and for rent
- **The portal's own structured record** - price, area, rooms, floor and building height, heating, registration, condition, photo count, the agency and its portal page, plus publish, reactivation and portal-check dates on every row
- **Seller type on every row** - agency, owner, company or developer, so an export splits by who is selling; the seller filter keeps only one kind if that is all you want
- **Owner-listed stock one filter away** - `sellerType: "vlasnik"` keeps the listings with no agency behind them, phone number included where the portal shows one
- **Serbian text that stays readable** - the Actor reads the structured data the portal embeds in its own pages, so place names, layouts and agencies arrive with their diacritics intact in JSON, CSV and Excel
- **Full details on demand** - open each advert for the seller's own text, the complete photo set, coordinates, year built, deposit, price per square metre and the agency's phone
- **Filters that reach the portal** - price and area bounds ride 4zida's own filter parameters, and anything filtered out is never saved and never charged

#### 💎 User Benefits

- A 500-listing sweep of Novi Sad takes about 20 requests and finishes in under a minute
- A place the portal does not know is flagged before the run starts, so a typo can never bill a whole-country sweep under a city's name
- Prices arrive as numbers in euros and dates as dates, so the export joins against your own tables without cleaning
- $2.00 per 1,000 listings, level with the leading 4zida.rs Actor on the Store, with a row that carries what neither rival exposes

#### 🎯 Use Cases

- Property analysts building an asking-price index per neighbourhood in Beograd, Novi Sad, Niš or Kragujevac
- Investors screening rental yield by running the same place as a sale search and a rental search
- Estate agencies and proptech vendors mapping which agency holds the stock in a city
- Buyers sourcing owner-listed listings that never reach an agency feed
- Funds tracking what developers bring to market, with publish timestamps for the daily diff