Zigbang Scraper: Korean Rentals, Jeonse, Sales & Agents
Pricing
from $1.90 / 1,000 listings
Zigbang Scraper: Korean Rentals, Jeonse, Sales & Agents
Scrape Zigbang (직방), South Korea's rental app: one-room, villa and officetel listings for monthly rent, jeonse and sale in Seoul, Busan, Gyeonggi and all of Korea, with KRW prices, area, floor, GPS, address, photos, subway access and the licensed agent's contacts. No login.
Pricing
from $1.90 / 1,000 listings
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Oswaldo Carabano
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Zigbang Scraper: Korean rentals, jeonse, sales and agents
Export property listings from Zigbang (직방), South Korea's rental listings app, as clean JSON, CSV or Excel: one-room studios (원룸), villas (빌라) and officetels (오피스텔) for monthly rent (월세), jeonse (전세) and sale (매매), searched by place name or by coordinates anywhere in Korea: Seoul, Busan, Gyeonggi-do, Incheon, Daegu, Daejeon and every other city on Zigbang.
A Zigbang data API without an API key: every row comes with the price already converted to KRW (and in 만원, the way Koreans read it), area in m² and pyeong, floor, map coordinates, full address down to the lot number, registration date and the listing agent's id. Turn on detail pages and each listing also carries the full description, every photo, furnishing options, bathrooms, orientation, parking, elevator, building approval date, the parcel number (PNU), nearby subway stations, walking time to amenities, the apartment or officetel complex, and the licensed agent's office, phones, email and broker registration number.
- 120 fields per listing. A typical listing fills 36 data fields from the search results alone, and 87 with the detail page.
- A second row type: licensed agents (공인중개사). One row per real-estate agent publishing in your area, ranked by how many listings they have there, with contacts, registration numbers, listing counts by type and deal, response rates and languages.
- Search the way Koreans do:
마포구,역삼동,강남역, or English names such asSeoul,Busan,Gyeonggi,Gangnam-gu,Mapo-gu,Hongdae,Haeundae,Jamsil. Or give latitude, longitude and a radius. - Clean, typed data: Korean labels become stable English keys (
monthly_rent,open_studio,air_conditioner,near_subway) and the original Korean text is kept next to them in*_raw. - No login, no cookies, no browser. Public listing data only. The default run delivers 100 listings in about 10 seconds; 1,000 listings took 18 seconds in our tests.
Use cases
- Rent and jeonse price research: Seoul officetel rent, jeonse deposits by district, jeonse vs wolse comparisons, rent maps by subway station.
- Relocation and expat housing: short lists of studios near a campus or office, with photos, options and the agent to call.
- Real estate investment screening: villas and officetels for sale with price per m², building age and parcel number to join with land registry data.
- PropTech and market dashboards: a repeatable feed of Korean rental listings with stable ids for deduplication across runs.
- Agent lead lists: licensed brokers active in an area, with office, phones and listing counts.
What you get
| Group | Fields |
|---|---|
| Price | deal_type, deposit_krw, monthly_rent_krw, sale_price_krw (and the same in 만원: *_10k_krw), maintenance_fee_krw, currency, is_short_term |
| Property | property_type, room_layout, size_exclusive_m2, size_supply_m2, size_contract_m2 (and pyeong), floor, floor_label, building_floors, title |
| Location | latitude, longitude, province, province_en, district, neighborhood, lot_number, address, distance_km |
| Listing | listing_id, url, registered_at, is_new, move_in_date, tags, badges, is_verified, favorites_count, thumbnail_url, agent_user_no, building_id |
| Detail page | description, image_urls, options, bathroom_count, direction, residence_type, building_approval_date, has_parking, parking_spaces, has_elevator, household_count, maintenance fee breakdown, view_count, status_checked_at |
| Land registry keys | jibun_address, legal_dong_code (법정동코드), parcel_number (PNU, 19 digits) |
| Neighbourhood | nearby_subways (with lines), nearby_places (distance and walking time to subway, bus, convenience store, supermarket, cafe, pharmacy…), neighborhood_tags, delivery_services |
| Complex | complex_id, complex_name, complex_households, complex_completion, complex_category |
| Agent | agent_name, agent_office_name, agent_office_phone, agent_phone, agent_email, agent_office_registration_number, agent_business_registration_number, agent_office_address, office coordinates, agent_inquiry_answer_rate, agent_languages, agent_badges |
Measured fill rates
Measured on Apify on 1 Oct 2026 over 718 listings with their detail page from Seoul (Gangnam, Mapo, Hongdae, central Seoul), Busan (Haeundae), Gyeonggi-do (Suwon), Incheon, Daegu and Daejeon, plus 1,000 search-only listings around central Seoul. Percentages are the share of listings where the field has a value.
| Field | All | One-room | Villa | Officetel |
|---|---|---|---|---|
| Price for the deal type, area, building floors, coordinates, address, photo, registration date, agent id | 100% | 100% | 100% | 100% |
| Maintenance fee | 100% | 100% | 100% | 100% |
| Floor number (the rest publish only low / middle / high) | 72.8% | 89.4% | 91.4% | 44.1% |
| Contract area | 37.9% | 0% | 0% | 100% |
| Move-in date | 40.9% | 26.3% | 37.1% | 56.6% |
| Detail page: description, photos, room layout, bathrooms, orientation, building type, parking yes/no, elevator, PNU, legal-dong code | 100% | 100% | 100% | 100% |
| Furnishing options | 96.8% | 100% | 90.5% | 98.9% |
| Building approval date (normalised) | 93.7% | 90.7% | 95.2% | 95.2% |
| Nearby subway stations | 94.7% | 94.1% | 97.1% | 93.4% |
| Walking time to amenities | 99.9% | 99.6% | 100% | 100% |
| Parking spaces | 75.3% | 64.0% | 64.8% | 93.4% |
| Households in the building | 42.5% | 22.9% | 25.2% | 72.8% |
| Apartment / officetel complex | 37.9% | 0% | 0% | 100% |
| Agent office, mobile, office phone, email, broker registration number | 100% | 100% | 100% | 100% |
| Agent speaks a language other than Korean | 34.1% | 41.1% | 37.6% | 25.4% |
Agent rows (outputType = agents, 60 agents around Jamsil and Bundang): office, mobile, email, registration number and office address 100%, call response rate 96.7%.
Fields that do not apply to a listing are delivered as null, never left out. How many listings an area has depends on Zigbang's inventory: one-rooms and officetels dominate; villas for sale or jeonse are scarce in some cities (for example 1 villa on jeonse within 3 km of Busan city hall on 1 Oct 2026).
Pricing
Pay per result. You never pay for a failed request, an error row or a duplicate within a run.
| Event | Price |
|---|---|
| Listing | $0.0019 |
Listing detail page (only with includeDetails) | $0.00075, so a listing with its detail page costs $0.00265 |
Agent profile (only with outputType = agents) | $0.0019 |
| Actor start | $0.00001 |
1,000 listings cost $1.90; 1,000 listings with detail pages cost $2.65. If you set a maximum cost per run, the run stops cleanly when it is reached and tells you so: nothing is delivered without being charged, and nothing is charged without being delivered.
Input
| Field | Default | What it does |
|---|---|---|
outputType | listings | listings or agents (one row per licensed agent in the area). |
location | empty = Gangnam-gu | A Korean district, neighbourhood or subway station, or an English district name. |
radiusKm | 1.5 | Listings within this distance of the location's centre (0.2 to 20 km). |
latitude, longitude | — | Search around exact coordinates instead of a place name. |
propertyTypes | all three | oneroom, villa, officetel. |
dealTypes | all three | monthly_rent, jeonse, sale (sale exists for villas and officetels only). |
maxItems | 100 | Maximum rows. |
sortBy | newest | newest or nearest. |
includeDetails | false | Add the detail page to each listing (extra event). |
minDeposit … maxSalePrice | — | Price filters in 만원 (10,000 KRW): 1000 = 10,000,000 KRW. |
minSizeM2, maxSizeM2 | — | Exclusive area filter. |
maxConcurrency | 4 | Parallel requests (1 to 8). |
Example — officetels for monthly rent near Hongik University station, with detail pages:
{"location": "Hongdae","radiusKm": 1,"propertyTypes": ["officetel"],"dealTypes": ["monthly_rent"],"maxMonthlyRent": 80,"includeDetails": true,"maxItems": 200}
Example — the agents with the most listings around Jamsil:
{ "outputType": "agents", "location": "잠실역", "radiusKm": 2, "maxItems": 50 }
Output sample
A listing with its detail page (shortened; the phone and email here are placeholders):
{"record_type": "listing","listing_id": 50484295,"url": "https://www.zigbang.com/home/officetel/items/50484295","property_type": "officetel","deal_type": "monthly_rent","deposit_krw": 139000000,"monthly_rent_krw": 200000,"maintenance_fee_krw": 90000,"currency": "KRW","size_exclusive_m2": 19.17,"size_supply_m2": 37.92,"floor": null,"floor_label": "low","building_floors": 15,"room_layout": "open_studio","province_en": "Seoul","district": "마포구","neighborhood": "성산동","options": ["air_conditioner", "refrigerator", "washing_machine", "induction_cooktop"],"building_approval_date": "2017-11-03","parcel_number": "1144012500105930001","nearby_subways": [{ "id": 371, "name": "마포구청역", "lines": "6호선" }],"complex_name": "벽산상암스마트큐브","agent_office_name": "OO공인중개사사무소","agent_phone": "01000000000","agent_email": "agent@example.com","agent_office_registration_number": "11440-2020-00000","detail_scraped": true}
Good to know
- Jeonse (전세) is a Korean lease with a large lump-sum deposit and no monthly rent:
monthly_rent_krwisnullfor it, not 0. - Hidden floors: 27% of listings publish only
low,middleorhighinstead of a floor number (56% of officetels, measured on 718). You getfloor_labeland the original infloor_raw. - Two spellings of the same province (서울시 and 서울특별시) appear in the source. Group by
province_en. - Coordinates are the point Zigbang shows on its map, which may be offset from the exact building.
- Apartments (아파트) are not included in this version: Zigbang lists them through a different complex-based system.
- The run delivers rows page by page and always writes a run summary and an errors record, so you can see what was collected and why anything was skipped.
FAQ
Is there an official Zigbang API? Zigbang does not offer a public data API for listings. This actor reads the same public listing data the Zigbang website shows, without logging in, and returns it as a dataset you can download or call through the Apify API.
Can I search in English? Yes for the common names (Seoul, Busan, Gyeonggi, Incheon, Daegu, the 25 Seoul districts, Hongdae, Gangnam station, Jamsil, Haeundae…). Anything else works best in Korean, exactly as you would type it on Zigbang: a district (마포구), a neighbourhood (역삼동) or a subway station (강남역).
What is jeonse? A Korean lease where the tenant pays a large lump-sum deposit and no monthly rent; the deposit is returned at the end. Jeonse rows have deposit_krw and monthly_rent_krw: null.
Are apartments (아파트) included? No. Zigbang lists apartments through a separate complex-based system; this actor covers one-rooms, villas and officetels.
How fresh is the data? Every run reads Zigbang live; nothing is cached. registered_at is when the listing was posted and status_checked_at (detail page) when Zigbang last confirmed it.
How do I get only new listings every day? Schedule the actor with sortBy: newest and deduplicate on listing_id, which is stable across runs.
What if my place name is not found or nothing matches my filters? The run ends green with a clear message and an error row, and nothing is charged.
Do I need a proxy? No. Zigbang answers without one, and the actor switches connection by itself if requests are ever refused.
Privacy
Listings on Zigbang are published by licensed real-estate agents: 718 of 718 detail pages measured on 1 Oct 2026 (and 301 of 301 on 23 Sep) carried a brokerage office registration number. Their office phone, business mobile and email are published on Zigbang for customer calls and are delivered as business contact data. If an advertiser without a broker registration number ever appears, their phones and email are removed (and phone numbers written in their free text are masked) unless you enable includePrivateSellerContact, which you should only do if you have a lawful basis to process that data. Make sure your use of the data complies with the laws that apply to you, including Korea's Personal Information Protection Act.