# Changelog of serve Property Scraper — Korea Real Estate Data & API (`sian.agency/serve-property-scraper`) Actor

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

## Changelog

All notable changes to serve Property Scraper will be documented in this file.

### \[2026-06-20]

#### 🎉 serve Property Scraper - Launch!

- **One Row Per Listing** - Turns every serve.co.kr (부동산써브) result into one clean record — price, deal type, area, rooms, floor, geo and agency, ready for analysis
- **KRW-Normalised Pricing** - Converts man-won values to whole KRW automatically while keeping the raw integer, with price-per-m² computed for you
- **Four Ways In** - Scrape by legal-dong code, by pasted search URL, by automatic region crawl, or by specific article id
- **Overview & Detail Depths** - Fast near-complete listing rows for whole-market sweeps, or full enrichment (parking, heating, household count, building approval date, full street address)
- **Cross-Portal Join Keys** - Surfaces matching Naver, KB Land and Dabang article ids so you can join serve data to other Korean property portals
- **Agency Contact On Every Listing** - Agency name, representative, landline and mobile for real-estate lead generation

#### 💎 User Benefits

- Turn the serve.co.kr map into a clean JSON/CSV dataset in under a minute
- Pay only for the listings you actually receive — transparent pay-per-result
- Export to JSON, CSV, or Excel straight from the dataset
- No account, proxy or API key required

#### 🎯 Use Cases

- Real-estate analysts mapping rent and sale prices across Seoul and Gyeonggi neighbourhoods
- Property investors comparing gross yields across officetels, apartments and houses
- Relocation agents shortlisting rentals with deposit, area and station context
- Agencies building listing-agent outreach lists across Korean neighbourhoods
- Data teams joining serve listings to Naver, KB and Dabang feeds