Naver Real Estate Listings Scraper
Pricing
from $2.00 / 1,000 results
Naver Real Estate Listings Scraper
Extract active apartment listings from Naver Land Real Estate, South Korea's premium reasl estate platform, by complex URL or ID, including prices, floor, area, broker, photos, and location data.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer
Harish Garg
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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What does Naver Real Estate Listings Scraper do?
Naver Real Estate Listings Scraper collects active property listings from Naver Real Estate for apartment complexes you choose. Enter a complex ID or Naver complex link and receive structured listing data such as prices, area, floor, direction, broker, verification details, photos, and coordinates.
Use it to turn Naver listing pages into data you can analyze, share, or connect to your existing workflow. Apify gives you API access, scheduled runs, monitoring, integrations, and flexible dataset exports, so you can keep your property research current without copying listings manually.
Why use Naver Real Estate Listings Scraper?
Real-estate professionals, investors, researchers, and market analysts can use this Actor to monitor inventory at a particular apartment complex. Compare asking prices by transaction type, see which unit sizes are active, identify changes in available supply, and retain a historical snapshot of listings over time.
It is especially useful for building dashboards, supporting local market reports, tracking competitor inventory, or feeding a spreadsheet or database. Each active listing is saved as its own row, making the results easy to filter and combine with other data.
How to scrape Naver Real Estate listings
- Open the Actor in Apify and go to the Input tab.
- Add one or more apartment complex targets.
- Start the Actor and wait for it to collect the active listings.
- Open the Dataset tab to review, filter, or export the results.
- Schedule the Actor if you want refreshed listing data automatically.
Input
Use Complexes (URL or ID) to provide a list of targets. Each entry can be any of the following:
- A bare Naver complex ID, for example
174439. - A complex page URL, for example
https://fin.land.naver.com/complexes/8928. - A Naver map URL after selecting a specific apartment complex.
The optional Proxy setting supports Apify Proxy. A Korean residential proxy is recommended for dependable larger runs.
Output
The Actor produces one dataset item for every active listing found for each complex.
{"complexId": "8928","complexName": "개포자이","articleNumber": "2639084265","listingUrl": "https://fin.land.naver.com/articles/2639084265","tradeTypeName": "매매","dealPrice": "250000","floor": "13","totalFloor": "22","exclusiveArea": 134.56,"brokerageName": "Example Real Estate","scrapedAt": "2026-07-27T10:00:00.000Z"}
You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.
Data table
| Field | Description |
|---|---|
complexId, complexName | Naver complex identifier and name |
articleNumber, listingUrl | Listing identifier and direct Naver URL |
tradeTypeName, realEstateTypeName | Transaction and property type |
dealPrice, warrantyPrice, rentPrice | Sale, deposit, and monthly-rent prices |
dongName, floor, totalFloor | Building and floor information |
exclusiveArea, supplyArea, contractArea | Property area measurements |
brokerageName, brokerName | Listing broker details |
photos, imageCount | Available listing media |
latitude, longitude | Listing location coordinates |
How much does it cost to scrape Naver Real Estate?
This Actor is designed for pay-per-result usage: the practical cost depends on the number of active listings collected. A small complex with a few listings normally uses very little platform capacity, while larger complexes produce more dataset items. Your Apify plan and free-tier availability determine the final charge. Start with one complex to estimate the cost for your typical workload.
Tips and advanced options
For faster, clearer runs, submit only the complexes relevant to your analysis. Run the Actor on a schedule to build a time series, then compare exports to spot newly active or removed listings. If your workload covers many complexes, use the recommended proxy configuration and split very large target lists into manageable scheduled runs.
FAQ, disclaimers, and support
This Actor collects publicly available listing information. You are responsible for ensuring that your use complies with Naver’s terms, applicable laws, and your organization’s data policies. Availability and field values can change when Naver updates its website.
For questions, feature requests, or feedback, use the Actor’s Issues tab. Custom data-collection solutions and integrations can also be arranged on request.