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전세 시세 데이터 (서초구 예시)
Created by
SIÁN OÜ
매매가 아닌 전세 기준 월간 시세를 단지별로: 평균·최저·최고 전세가, 월 거래 건수, 기준 월, 세대수와 준공연도까지. 지역 코드만 바꾸면 됩니다.
Hogangnono Scraper — Korea Apartment Price Data & APIsian.agency/hogangnono-apartment-analytics-scraper
🖼️ Thumbnail
🆔 Complex ID
🔗 Complex URL
📦 Source
+61 fieldsTextNumberBooleanListObject
Input
💰 Trade Type:jeonse
📍 Region Codes (시군구):11650
⚙️ Scrape Mode:detail
🔢 Max Complexes:25
Output fields
🖼️ Thumbnail
🆔 Complex ID
🔗 Complex URL
📦 Source
🏢 Complex Name
🏷️ Category
📊 Monthly Avg Price (KRW)
📉 Monthly Min Price (KRW)
📈 Monthly Max Price (KRW)
💵 Monthly Avg Price (USD)
💵 Monthly Min Price (USD)
💵 Monthly Max Price (USD)
📅 Report Date
🥇 Max Real Trade Price (KRW)
🥈 2nd Max Real Trade Price (KRW)
🏦 Loanable Price (KRW)
💵 Max Real Trade Price (USD)
💵 2nd Max Real Trade Price (USD)
💵 Loanable Price (USD)
🔢 Max Real Trade Price (만원)
🔢 Monthly Avg Price (만원)
📞 Asking Price (만원)
🔁 Lifetime Trade Count
🆕 Recent Trade Count
📊 Latest Monthly Volume
📊 Latest Rent Volume
👀 Interest Count
🧾 Recent Real Trades
🏘️ Total Households
🔝 Max Floor
🔽 Min Floor
🏬 Building Count
🅿️ Total Parking
🚗 Parking per Household
🔥 Heating Type
⛽ Heating Fuel
🏗️ Builder
📆 Build Year
🗓️ Build Date (text)
📐 Floor Area Ratio
📏 Building Coverage Ratio
📐 Supply Area (m²)
📐 Exclusive Area (m²)
🏘️ Households (this area)
📮 Address (지번)
🛣️ Road Address
🗺️ City/Province (시도)
🏙️ District (시군구)
📍 Neighborhood (동)
🌐 Latitude
🌐 Longitude
🔢 Legal Dong Code
🔢 Admin Dong Code
🆔 Portal ID
🏅 Neighborhood Rank
⭐ Average Rating
🚇 Nearby Subway Stations
💬 Review Count
📸 Photos
🔢 Photo Count
📊 Region Aggregate
💱 FX KRW/USD
🧾 Run Metadata
📅 Scraping Date
✅ Processing Status
Sign up on Apify01
Create your Apify account to access the Hogangnono Scraper — Korea Apartment Price Data & API.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
