Property analysts
Complex comparisons
Favorable to scraping
Compare apartments across Seoul or regional markets by price, floor, area, room count, parking, school information, and listing description without rebuilding the same sheet manually.
Real Estate$50Free
Naver Land Real Estate Scraper
This Naver Land real estate scraper turns selected Naver Land apartment and listing data into a structured CSV export. Import the workflow, add encoded Naver Land complex or article URLs, and collect prices, floor details, area, rooms, parking, realtor information, school data, and source article numbers in one repeatable local desktop app run.
Output
CSV
Columns
26
Input mode
URL list
Live wait
180s
Template
Free import
At a glance
Export Naver Land listings to CSV
Built for property listing fields
The export focuses on real estate details analysts usually need first: apartment name, listing price, area, floor, rooms and baths, direction, move-in status, parking, realtor details, and school proximity.
Handles URL batches
Add more encoded Naver Land targets to the Navigate block and the Loop Continue block advances through them. This keeps neighborhood, complex, or article batches separated by source_url.
Uses structured export rows
The collector builds hidden rows in the page, then Structured Export reads stable data attributes instead of asking you to copy Korean listing text by hand.
Keeps the workflow local
The stock template writes a CSV to your configured folder. It does not send exported rows to a hosted scraping queue unless you add your own upload or integration step.
Who this is for
Naver real estate data collection use cases
Market researchers
Neighborhood scans
Favorable to scraping
Use a Naver Land to CSV workflow to collect public listing snapshots for target complexes, then review outliers, pricing bands, and move-in availability in Excel or Sheets.
Real estate operators
Lead review
Nuanced outcome
Export article numbers and realtor information for internal review, then verify selected listings manually before outreach, publication, valuation work, or client-facing reports.
How to use
Run the Naver Land scraper in five steps
From Naver Land target URL to spreadsheet
- 1
Download and import
Download the hosted Naver Land scraper JSON, then import it into UScraper.
- 2
Add target URLs
The sample Navigate block contains a control URL with an encoded
new.land.naver.comcomplex and article URL. Add more encoded control URLs when you want to loop through additional complexes. - 3
Run the collection graph
UScraper sets a large browser window, navigates, waits for page load, pauses briefly, injects the collection script, and waits until export rows exist.
- 4
Let pagination and URL looping work
The injected script attempts Naver Land article pagination internally until pages are empty, while Loop Continue advances the outer URL list.
- 5
Open the CSV
Structured Export appends rows to
naver-land-real-estate-scraper.csvwith headers enabled, ready for Excel, Sheets, or a property data pipeline.
Output preview
What the Naver Land CSV export contains
naver-land-real-estate-scraper.csvColumn
source_url
Encoded Naver Land source used for the run.
Column
아파트이름
Apartment or complex name.
Column
세대수
Total household count when available.
Column
건축연도
Use approval or build date.
Column
매물이름
Article or listing display name.
Column
매매가
Sale, jeonse, deposit, or price text as shown.
Column
평당가격
Price per area when Naver exposes it.
Column
교통
Nearby transit or walking-time text.
Column
매물특징
Listing feature summary or tags.
Column
공급_전용면적
Supply and exclusive area.
Column
해당층_총층
Listing floor and total floors.
Column
방수_욕실수
Room and bathroom count.
Column
융자금
Finance or loan field.
Column
기보증금_월세
Existing deposit and monthly rent when shown.
Column
방향
Direction, usually based on living room orientation.
Column
현관구조
Entrance type.
Column
난방
Heating method and fuel.
Column
입주가능일
Move-in availability.
Column
총주차대수
Parking count or household parking ratio.
Column
해당면적_세대수
Households for the same area or address group.
Column
매물번호
Naver Land article number.
Column
매물설명
Listing description when available.
Column
중개사정보
Realtor office, registration, address, and contact text.
Column
학교
Nearby school name.
Column
통학거리
School walking time or distance.
Column
학교주소
School address.
Sample rows
1 of many
| source_url | 아파트이름 | 세대수 | 건축연도 | 매물이름 | 매매가 | 평당가격 | 교통 | 매물특징 | 공급_전용면적 | 해당층_총층 | 방수_욕실수 | 융자금 | 기보증금_월세 | 방향 | 현관구조 | 난방 | 입주가능일 | 총주차대수 | 해당면적_세대수 | 매물번호 | 매물설명 | 중개사정보 | 학교 | 통학거리 | 학교주소 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 한남더힐 | 600세대 | 2011.01.07 | 한남더힐 120동10층 | 전세 70억 | (8,142만원/3.3㎡) | 탑층으로 확트인뷰 매매도가능 | 284.21㎡/233.06㎡ | 10/10층 | 4/3개 | 남향 | 계단식 | 개별난방/도시가스 | 즉시입주 협의가능 | 1732대 | 204세대 | 2412729840 | 리가공인중개사사무소 | 서울한남초등학교 | 도보로 7분 | 서울특별시 용산구 한남동 |
Headers included - one row per listing/article row - Korean column names match the bundled Structured Export
For adjacent Korean research workflows, pair this template with the Naver Map Scraper by Keyword, Naver Search Scraper, Naver News Scraper, and Naver Shopping SmartStore Scraper. For broader property work, compare it with the Zillow Listing Scraper by Keyword or browse the full UScraper template library.
Frequently asked questions
Naver Land pages and underlying data can be governed by Naver terms, robots rules, copyright, database rights, privacy law, and Korean real estate advertising rules. Keep collection narrow, do not bypass access controls or CAPTCHA, and get legal review before resale, enrichment, or large-scale monitoring.
Before you run
Practical limitations and maintenance
Guardrails for reliable Naver Land exports
Access
Live extraction depends on Naver availability
During testing, direct navigation to new.land.naver.com and m.land.naver.com could reset. The template therefore uses a controlled URL and proxy-assisted API attempts, which may still fail when Naver blocks automated access.
Rate limits
Run small batches first
Naver may throttle, show verification, block proxy access, or return partial fields. Keep the waits, avoid parallel runs, and review empty rows before trusting a large export.
Layout
Field names and APIs can change
Naver can rename article fields, alter endpoint behavior, or remove values from public responses. If important columns go blank, inspect the latest page and refresh the workflow before production use.
Use the downloadable Naver Land scraper template as a starting point, install the local desktop app from UScraper download, and keep each exported CSV versioned with the assumptions, targets, and compliance notes for that research run.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
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