Dabang Property Scraper — Korea Real-Estate Data & Rent Listings 🇰🇷🏠

🎉 Turn Korea's busiest rental map into a clean, structured dataset — price, deposit, exact location, nearest subway and photos in one run

Built for property analysts, proptech teams, relocation services and investors who need Korean rental data at scale

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📋 Overview

Pull live Korean rental listings without lifting a finger — this actor reads the Dabang (다방) property map and returns clean, structured rows for studios, two-rooms, officetels and apartments across South Korea. No account, no API key, no manual copy-paste.

Why teams choose us:

• ✅ Complete records out of the box: price (월세 / 전세), deposit, room type, neighborhood, photos and 10+ status flags on every row
• ⚡ Fast & cheap by design: the Overview mode reads the listing feed directly — pay cents per listing, scale to thousands
• 🎯 Exact location enrichment: Detail mode adds precise GPS coordinates, full street address, nearest subway station + walking distance, and nearby points-of-interest
• 💱 Dual currency built in: every deposit and rent comes in KRW and USD, converted at the run's live exchange rate
• 💰 Pay only for results: transparent per-listing pricing, generous free tier, no subscription
• 💎 Filter like a local: search by district/station name, deal type (월세·전세·단기), price range, room type, elevator and parking

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✨ Features

• 🗺️ Search any Korean area — by neighborhood/station name (e.g. 강남구, 홍대입구역), a map center point, or a captured search URL
• 🏠 Three property surfaces — rooms (원룸·투룸), officetels (오피스텔) and apartments (아파트)
• 💳 Deal-type filters — monthly rent (월세), jeonse (전세) and short-term (단기)
• 💰 Price & spec filters — deposit range, monthly-rent range, room type, elevator, parking
• 📍 Exact location (Detail mode) — precise coordinates + full address, not just a block-level pin
• 🚇 Transit intelligence — nearest subway station and walking distance per listing
• 🖼️ Full photo galleries — every listing image, plus a ready-to-use thumbnail
• 💱 Live FX conversion — KRW + USD on every price
• 📊 Clean exports — JSON, CSV and Excel straight from the dataset

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🎬 Quick Start

Pick a mode and an area, hit Start, and collect a clean dataset. Overview returns rich listing cards fast and cheap; Detail adds exact location and subway data per listing.

curl -X POST https://api.apify.com/v2/acts/sian.agency~dabang-property-scraper/runs?token=YOUR_TOKEN \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "place": "강남구", "maxResults": 100}'

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🚀 Getting Started (3 Simple Steps)

Step 1: Choose your area

Enter a Korean place or station name (강남구), or leave it blank to use a default Seoul area.

Step 2: Pick a mode and filters

Overview for fast, cheap listing cards — or Detail for exact location + subway enrichment. Add price, deal-type and room-type filters as needed.

Step 3: Run and export

Click Start. Download your results as JSON, CSV or Excel.

That's it! In about a minute, you'll have:

• Structured rental listings with price, deposit and room type
• Photos, neighborhood and (in Detail mode) exact location + nearest subway
• KRW and USD pricing on every row

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📥 Input Configuration

Field	Type	Required	Description
scrapeMode	string	No	overview (fast, cheap) or detail (adds exact location + subway)
category	string	No	one-two (rooms), officetel, or apt
place	string	No	Korean neighborhood / district / station name to search
centerLat / centerLng	number	No	Map center point to search around
searchUrl	string	No	A captured Dabang search URL (preserves its exact area + filters)
sellingTypes	array	No	Deal types: MONTHLY_RENT (월세), LEASE (전세), SHORT_RENT (단기)
roomTypes	array	No	ONE_ROOM, TWO_ROOM, THREE_ROOM, OFFICETEL, APT
depositMin / depositMax	integer	No	Deposit range in 만원 (10,000 KRW)
rentMin / rentMax	integer	No	Monthly-rent range in 만원
hasElevator / canParking	boolean	No	Amenity filters
roomUrls	array	No	Specific room URLs/IDs to enrich (Detail mode)
maxResults	integer	No	Max listings (FREE: 25, PAID: unlimited)
maxPages	integer	No	Hard cap on search pages (0 = until Max results)

Example:

{
  "scrapeMode": "detail",
  "place": "역삼동",
  "sellingTypes": ["MONTHLY_RENT"],
  "rentMax": 100,
  "maxResults": 50
}

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📤 Output

Results are saved to the Apify dataset with 50+ fields including:

Field	Type	Description
propertyTitle	string	Listing headline
room_type	string	Room layout (원룸·투룸·오피스텔…)
price_type	string	월세 / 전세 / 매매
deposit / rent	number	Deposit & monthly rent in 만원
deposit_krw / rent_krw	number	Same, expanded to KRW
deposit_usd / rent_usd	number	Converted to USD at the run's live FX rate
dong_name	string	Neighborhood (동)
address	string	Full street address (Detail mode)
latitude / longitude	number	Coordinates (exact in Detail mode)
subway_nearest	string	Nearest subway station (Detail mode)
subway_distance_m	number	Walking distance to subway, meters
images	array	All listing photo URLs
url	string	Canonical listing URL

Example:

{
  "propertyTitle": "강남역 3분 베스트 오피스텔",
  "room_type": "오피스텔",
  "price_type": "월세",
  "price_label": "1000/80",
  "deposit_krw": 10000000,
  "rent_krw": 800000,
  "deposit_usd": 6534,
  "rent_usd": 523,
  "dong_name": "역삼동",
  "address": "서울특별시 강남구 역삼동",
  "latitude": 37.498652,
  "longitude": 127.033004,
  "subway_nearest": "역삼역",
  "subway_distance_m": 374,
  "image_count": 3,
  "url": "https://www.dabangapp.com/room/6a27c028d9a4ed3da31c2ce4"
}

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💼 Use Cases & Examples

1. Rental Market Research

Analysts tracking Seoul rent and deposit trends across districts. Input: A district name + deal type · Output: Priced, geocoded listings · Use: Build rent indices and supply maps.

2. Investment & Yield Comps

Investors comparing officetel and apartment yields by neighborhood. Input: officetel / apt category + price range · Output: Deposit/rent rows in KRW & USD · Use: Screen cash-flow opportunities.

3. Proptech & Data Products

Product teams powering search apps and dashboards with fresh Korean inventory. Input: A bounding area or search URL · Output: 50+ structured fields per listing · Use: Feed a database or API.

4. Relocation & Tenant Services

Relocation agents shortlisting homes near a client's office or campus. Input: A station name + Detail mode · Output: Listings with exact address + nearest subway · Use: Hand clients a commute-aware shortlist.

5. Lead Generation

Agencies sourcing fresh listings and agent activity in target neighborhoods. Input: A district + filters · Output: Daily listing rows · Use: Trigger outreach and CRM workflows.

6. Academic & Policy Research

Researchers studying affordability and transit access in Korean cities. Input: Multiple areas over time · Output: Geocoded, priced datasets · Use: Quantify rent-vs-transit relationships.

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🔗 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const run = await client.actor('sian.agency/dabang-property-scraper').call({
  scrapeMode: 'overview',
  place: '강남구',
  maxResults: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0]);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

run = client.actor('sian.agency/dabang-property-scraper').call(
    run_input={'scrapeMode': 'detail', 'place': '역삼동', 'maxResults': 50}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~dabang-property-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"scrapeMode": "overview", "place": "강남구"}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule or webhook
2. HTTP Request: Call the actor API
3. Process: Handle the JSON results
4. Action: Save to a database, notify, or transform

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📊 Performance & Pricing

FREE Tier (Try It Now)

• 25 listings per run — full feature access, same data quality
• No credit card required
• Perfect for testing and small projects

PAID Tier (Production Ready)

• Unlimited listings per run
• Both Overview and Detail modes
• Pay-per-result: you're only charged for listings you actually receive

💰 Transparent per-listing pricing — the cheap Overview event scales to thousands; Detail is a premium per-listing enrichment.

🔗 View current pricing

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❓ Frequently Asked Questions

Q: How many listings can I scrape? A: FREE tier: 25 per run. PAID tier: unlimited.

Q: What's the difference between Overview and Detail mode? A: Overview returns rich listing cards fast and cheap. Detail adds exact GPS coordinates, full street address, and the nearest subway station + walking distance per listing.

Q: Are prices in KRW or USD? A: Both. Deposit and rent come in 만원, KRW, and USD (converted at the run's live exchange rate).

Q: What output formats are available? A: JSON, CSV and Excel — export directly from the Apify dataset.

Q: Do I need an account or API key for the source site? A: No. The actor handles everything; you only need your Apify token.

Q: Is this legal? A: Yes — we only extract publicly available data. See the legal note below.

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🐛 Troubleshooting

No results returned

• Check the place name spelling, or try a broader district (e.g. 강남구 instead of a tiny street)
• Widen your price/room-type filters
• Try Overview mode first to confirm the area has listings

Detail mode is slower

• This is expected — Detail visits each listing to add exact location and subway data. Use Overview when you don't need that enrichment, or lower maxResults.

Hitting the free limit

• The FREE tier caps each run at 25 listings. Upgrade to PAID for unlimited results.

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⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Trademark notice: Dabang (다방) is a trademark of its respective owner. This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Dabang or its operator. All product names and trademarks belong to their respective owners and are used here for identification purposes only.

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🤝 Support

Join our active support community

• For issues or questions, open an issue in the actor's repository
• Check the SIÁN Agency Store for more automation tools
• ✉️ apify@sian-agency.online

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