Zigbang Scraper — South Korea Real Estate Listings, Prices & Agents

Extract South Korean property listings from Zigbang at scale: officetels, villas, and one-room studios for monthly rent (월세), jeonse (전세), and sale (매매). Search by Korean location name, filter by deposit and rent, and export clean, structured data — including price, deposit, size, floor, address, photos, options, nearby subway stations, and the listing agent's name and phone number.

No login. No browser hassle. Just give it a neighborhood, a district, or a list of URLs, and get back a ready-to-use dataset in JSON, CSV, Excel, or via API.

Built for proptech teams, relocation and expat-housing services, market analysts, and anyone who needs Korean rental and sale data in bulk.

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🧭 Table of contents

• What this scraper does
• Why use it
• Who it's for
• What data you get
• Input options
• Input examples
• Output example
• How to use (step by step)
• Tips for best results
• Use cases
• Integrations & export
• Pricing
• FAQ

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What this scraper does

Zigbang is one of South Korea's most popular mobile-first real-estate platforms, with a huge inventory of rooms, officetels, and villas. This actor turns that inventory into a structured dataset you can actually work with.

You can collect listings in three ways:

1. By location search — type a Korean district (구), neighborhood (동), subway station, or building name (e.g. 강남구, 역삼동, 홍대입구역). The actor geocodes it and scrapes the surrounding area.
2. By URL — paste specific Zigbang listing URLs and get their full detail records.
3. By item ID — feed numeric listing IDs directly.

For every listing it returns a complete record: pricing, size, floor, direction, options, maintenance cost, full address, GPS coordinates, photos, nearby subway lines, and the realtor's contact details.

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Why use it

• ⚡ Fast & lightweight — pulls structured data directly, with no slow browser rendering.
• 🇰🇷 Korea-native — understands 월세 / 전세 / 매매, room types, officetels, villas, and pyeong (평) vs. m².
• 🌐 English-friendly — optionally adds English translations for sales type, room type, and floor level, so non-Korean teams can read the data instantly.
• 🏢 Agent contacts included — every listing carries the listing office name, agent name, and phone number — invaluable for outreach and lead generation.
• 🧱 Flexible inputs — search terms, URLs, or IDs, with deposit/rent filters and adjustable area coverage.
• 📦 Export anywhere — JSON, CSV, Excel, HTML table, or RSS, plus a full REST API and integrations.

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Who it's for

• Proptech & real-estate startups building search, valuation, or analytics products for the Korean market.
• Relocation & expat-housing services that need to surface rooms and officetels for clients moving to Seoul, Busan, or beyond.
• Market researchers & analysts tracking rent levels, deposit trends, and supply across districts.
• Lead-generation teams that want agent and office contact details at scale.
• Investors & landlords monitoring competing listings and pricing in target neighborhoods.

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What data you get

Each listing in the dataset includes (when available):

Field	Description
itemId	Unique Zigbang listing ID
url	Direct link to the listing
salesType	월세 / 전세 / 매매 / 단기 (sale type)
salesTypeEn	English: Monthly rent / Jeonse / Sale / Short-term
serviceType	Property type (원룸 / 빌라 / 오피스텔 …)
serviceTypeEn	English property type
roomType	Room layout (원룸 / 투룸 / 쓰리룸 …)
roomTypeEn	English room layout
deposit	Deposit in 만원 (10,000 KRW units)
rent	Monthly rent in 만원
depositKRW / rentKRW	Same values converted to KRW
maintenanceCost	Monthly maintenance / management fee
areaM2	Exclusive area in square meters
contractAreaM2	Contract area in square meters
areaPyeong	Exclusive area in 평 (pyeong)
floor / totalFloors	Floor level and total floors of the building
roomDirection	Facing direction of the unit
bathroomCount	Number of bathrooms
elevator	Whether the building has an elevator
parkingAvailable / parkingCount	Parking availability and capacity
moveinDate	Move-in availability
approveDate	Building approval (construction) date
options	Built-in options (aircon, fridge, washer, induction…)
residenceType	Residence classification
title	Listing title
description	Full listing description
address	Full administrative address
sido / sigungu / dong	City / district / neighborhood
jibunAddress	Lot-number (지번) address
lat / lng	GPS coordinates
subways	Nearby subway stations and their lines
agentName	Listing agent name
agentOffice	Agency / office name
agentPhone	Agent phone number
agentType	Agent role (e.g. representative broker)
agentAddress	Agency address
viewCount	Listing view count
status	Listing status
thumbnail / images	Photo URLs
updatedAt	Last update timestamp
scrapedAt	When the record was scraped

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Input options

Option	Type	Description
searchQueries	array	Korean location names (district, neighborhood, subway, building).
salesTypes	array	Which listing types to include: 월세, 전세, 매매, 단기.
propertyUrls	array	Direct Zigbang listing URLs.
itemIds	array	Direct numeric listing IDs.
geohashes	array	Advanced: query map tiles by geohash directly.
depositMin / depositMax	integer	Deposit range in 만원.
rentMin / rentMax	integer	Monthly rent range in 만원.
geohashPrecision	integer	Tile size: 5 ≈ 4.9 km (default), 6 ≈ 1.2 km (finer).
gridRadius	integer	Coverage around each search center: 0 = single tile, 1 = 3×3 (default), 2 = 5×5.
includeEnglish	boolean	Add English translations for Korean fields (default: true).
maxItems	integer	Maximum listings to save (0 = no limit).
maxConcurrency	integer	Parallel detail requests (default: 10).
proxyConfiguration	object	Proxy settings — Korean (KR) residential recommended at scale.

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Input examples

1. Search a district for monthly rentals

{
  "searchQueries": ["강남구"],
  "salesTypes": ["월세"],
  "maxItems": 500,
  "proxyConfiguration": { "useApifyProxy": true }
}

2. Multiple neighborhoods, rent + jeonse, with a budget filter

{
  "searchQueries": ["역삼동", "마포구", "홍대입구역"],
  "salesTypes": ["월세", "전세"],
  "rentMax": 100,
  "depositMax": 5000,
  "maxItems": 1000,
  "proxyConfiguration": { "useApifyProxy": true }
}

3. Specific listings by URL

{
  "propertyUrls": [
    "https://www.zigbang.com/home/oneroom/items/48964085",
    "https://www.zigbang.com/home/oneroom/items/49165383"
  ]
}

4. Wide coverage of a district

{
  "searchQueries": ["송파구"],
  "salesTypes": ["월세", "전세"],
  "gridRadius": 2,
  "maxItems": 2000,
  "proxyConfiguration": { "useApifyProxy": true }
}

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Output example

{
  "itemId": 48964085,
  "url": "https://www.zigbang.com/home/oneroom/items/48964085",
  "salesType": "월세",
  "salesTypeEn": "Monthly rent",
  "serviceType": "오피스텔",
  "serviceTypeEn": "Officetel",
  "roomType": "쓰리룸",
  "roomTypeEn": "Three-room",
  "deposit": 500,
  "rent": 500,
  "depositKRW": 5000000,
  "rentKRW": 5000000,
  "maintenanceCost": 0,
  "areaM2": 64.3,
  "contractAreaM2": 170.86,
  "areaPyeong": 19.45,
  "floor": "중",
  "totalFloors": "20",
  "options": ["에어컨", "냉장고", "세탁기", "인덕션", "싱크대"],
  "address": "서울특별시 서초구 서초동",
  "sido": "서울특별시",
  "sigungu": "서초구",
  "dong": "서초동",
  "lat": 37.4853755,
  "lng": 127.0329492,
  "subways": [{ "name": "양재역", "lines": "3호선,신분당선" }],
  "agentName": "박영준",
  "agentOffice": "박영준공인중개사사무소",
  "agentPhone": "025555706",
  "agentType": "대표공인중개사",
  "images": ["https://.../1.jpg", "https://.../2.jpg"],
  "updatedAt": "2026-05-09 16:11:51",
  "scrapedAt": "2026-06-07T10:00:00.000Z"
}

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How to use (step by step)

1. Click Try for free / open the actor.
2. In Location searches, add one or more Korean place names (e.g. 강남구, 역삼동).
3. Pick your Listing / sales types — monthly rent, jeonse, sale, or short-term.
4. (Optional) Set deposit and rent ranges to match your budget.
5. (Optional) Adjust grid radius for wider or tighter geographic coverage.
6. Set Max items to control dataset size.
7. Click Save & Start.
8. When the run finishes, open the Storage / Dataset tab and export to JSON, CSV, Excel, or pull it via API.

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Tips for best results

• Use a proxy. A proxy is strongly recommended, and Korean (KR) residential proxies give the most reliable results when scraping large volumes.
• Start narrow, then widen. Begin with gridRadius: 0 or 1 and a modest maxItems to preview results, then scale up.
• Mind the units. Deposit and rent are in 만원 (1 = 10,000 KRW). A rent of 70 means 700,000 KRW/month. Use depositKRW / rentKRW for absolute values.
• Search precisely. A neighborhood (동) gives tighter, more relevant results than a whole city; a district (구) with gridRadius: 1 covers a broad area.
• Combine inputs. You can mix searchQueries, propertyUrls, and itemIds in a single run.

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Use cases

• 🏠 Rental market dashboards — track 월세 and 전세 levels by district over time.
• 📊 Pricing & valuation models — feed deposit, rent, size, and floor data into AVM/analytics pipelines.
• 🧲 Agent lead generation — build contact lists of active listing offices and brokers.
• 🌏 Relocation & expat platforms — surface available rooms and officetels for incoming residents.
• 🔍 Competitive monitoring — watch competing listings in your target neighborhoods.
• 🤖 AI & data products — supply fresh, structured Korean property data to apps and assistants.

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Integrations & export

Export your results as JSON, CSV, Excel, HTML table, or RSS, or fetch them through the API. Connect the actor to Make, Zapier, n8n, Google Sheets, Slack, GitHub, and more, or schedule runs to keep your dataset fresh automatically.

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Pricing

This actor runs on a simple, predictable pay-per-result model. You only pay for the listings you successfully collect — start small with the free tier and scale up as you need more data.

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FAQ

Which property types are covered? One-room studios, officetels, and villas across monthly rent, jeonse, sale, and short-term listings.

Can I get the agent's phone number? Yes — when the listing exposes it, the agent name, office, and phone number are included.

Do I need a Zigbang account or API key? No. No login or key is required.

In what units are deposit and rent? In 만원 (10,000 KRW). The dataset also includes depositKRW and rentKRW for absolute KRW values.

How do I cover an entire district? Use the district name (e.g. 송파구) as a search query and increase gridRadius to 2 for wider coverage.

How many listings can I scrape? As many as you need — set maxItems to 0 for no limit. For large runs, use a Korean residential proxy.

Can non-Korean speakers use the output? Yes. Keep includeEnglish enabled to get English translations of sales type, room type, and floor level alongside the original Korean.

What if a search returns no results? Check that the location name is spelled in Korean and that your salesTypes and price filters aren't too restrictive.

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Need another Korean data source or a custom field? Open an issue on the actor's Issues tab — feedback and feature requests are welcome.

📅 Changelog & Maintenance

Last updated: 2026-07-02 — Actor verified and maintained. Data pipeline tested for quality, structure and freshness; selectors/endpoints confirmed against the live site.