# Naver Land Scraper - Korea Apartments & Officetels (`haketa/naver-land-scraper`) Actor Naver Land scraper & data API for South Korea real estate: search apartments, officetels & villas for sale (매매), jeonse (전세) & monthly rent (월세); export price, area, floor, direction, location, tags & the listing agent. Korea property market data & lead generation — fast. - **URL**: https://apify.com/haketa/naver-land-scraper.md - **Developed by:** [Haketa](https://apify.com/haketa) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Naver Land Scraper — Korea Apartments, Officetels & Villas Extract **South Korean property listings** from Naver Land at scale: **apartments (아파트), officetels (오피스텔), villas (빌라)** and more, for **sale (매매)**, **jeonse (전세)**, and **monthly rent (월세)**. Search by Korean location name and export clean, structured data — **price, area, floor, direction, location, listing tags, photos, and the listing agent**. No account. No manual copy-paste. Give it a district or a neighborhood and get back a ready-to-use dataset in JSON, CSV, Excel, or via API. > Built for proptech teams, market analysts, relocation services, investors, and lead-generation teams that need Korean real-estate data in bulk. --- ### 🧭 Table of contents - [What this scraper does](#what-this-scraper-does) - [Why use it](#why-use-it) - [Who it's for](#who-its-for) - [What data you get](#what-data-you-get) - [Input options](#input-options) - [Input examples](#input-examples) - [Output example](#output-example) - [How to use (step by step)](#how-to-use-step-by-step) - [Tips for best results](#tips-for-best-results) - [Use cases](#use-cases) - [Integrations & export](#integrations--export) - [Pricing](#pricing) - [FAQ](#faq) --- ### What this scraper does Naver Land is South Korea's leading real-estate portal, covering virtually every apartment complex, officetel, and villa on the market. This actor turns that inventory into structured data you can actually analyze. Collect listings in two ways: 1. **By location search** — type a Korean district (구) or neighborhood (동), e.g. `강남구`, `역삼동`, `분당구`. Each is resolved to its region and scraped. 2. **By region code** — supply Naver Land region codes (cortarNo) directly for precise, repeatable runs. For each listing you get pricing, size, floor, facing direction, coordinates, listing tags, and — optionally — the **agent's office and phone number** plus the full description. --- ### Why use it - ⚡ **Fast & efficient** — pages through entire regions quickly and cheaply. - 🇰🇷 **Korea-native** — understands 매매 / 전세 / 월세, apartments, officetels, and villas, and Korean area formats. - 🏢 **Agent contacts** — optionally include the listing office name and phone number for outreach and lead generation. - 🧱 **Flexible inputs** — search terms or region codes, filtered by property type and trade type. - 🗺️ **Geo-ready** — every listing includes latitude/longitude for mapping and spatial analysis. - 📦 **Export anywhere** — JSON, CSV, Excel, HTML table, or RSS, plus a full REST API and integrations. --- ### Who it's for - **Proptech & real-estate startups** building search, analytics, or valuation products for Korea. - **Market researchers & analysts** tracking sale, jeonse, and rent prices across districts and complexes. - **Relocation & expat-housing services** sourcing apartments and officetels for clients. - **Lead-generation teams** building lists of active listing agents and offices. - **Investors & landlords** monitoring competing listings and price changes in target areas. --- ### What data you get Each listing includes (when available): | Field | Description | | --- | --- | | `articleNo` | Unique listing ID | | `articleName` | Listing / building name | | `url` | Direct link to the listing | | `realEstateType` | Property type (apartment, officetel, villa…) | | `tradeType` | Sale / jeonse / monthly rent | | `price` | Sale or deposit price (Korean formatted) | | `rentPrice` | Monthly rent, when applicable | | `priceChangeState` | Whether the price recently changed | | `areaName` | Area / floorplan name | | `supplyAreaM2` | Supply area (m²) | | `exclusiveAreaM2` | Exclusive area (m²) | | `floorInfo` | Floor / total floors | | `direction` | Facing direction | | `buildingName` | Building name | | `confirmDate` | Listing confirmation date | | `features` | Short feature description | | `tags` | Listing tags (e.g. near-subway, newly-built) | | `imageCount` | Number of photos | | `representativeImage` | Main photo URL | | `sameAddrCount` | Number of listings at the same address | | `sameAddrMinPrice` / `sameAddrMaxPrice` | Price range at the same address | | `latitude` / `longitude` | GPS coordinates | | `realtorName` | Listing agent / office name | | `source` | Listing source / partner | | `complexNo` | Complex ID (for apartments/officetels) | | `verificationType` | Listing verification type | | `agentName` / `agentOffice` | Agent and office (with agent details enabled) | | `agentRepName` | Representative name | | `agentPhone` | Agent phone number | | `agentAddress` | Agency address | | `description` | Full listing description | | `exposeAddress` | Exposed address | | `scrapedAt` | When the record was scraped | --- ### Input options | Option | Type | Description | | --- | --- | --- | | `searchQueries` | array | Korean location names (district / neighborhood). | | `cortarNos` | array | Region codes (cortarNo) to scrape directly (advanced). | | `realEstateTypes` | array | Property types: APT, OPST, VL, ABYG, JGC, OR, … | | `tradeTypes` | array | A1 sale, B1 jeonse, B2 monthly rent, B3 short-term. Empty = all. | | `includeAgentDetails` | boolean | Add agent office, phone and full description (extra requests). | | `maxItems` | integer | Maximum listings to save (0 = no limit). | | `maxConcurrency` | integer | Parallel detail requests (default: 8). | | `proxyConfiguration` | object | Korean (KR) residential proxy required (default provided). | --- ### Input examples #### 1. Apartments for sale in a district ```json { "searchQueries": ["강남구"], "realEstateTypes": ["APT"], "tradeTypes": ["A1"], "maxItems": 500, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "KR" } } ```` #### 2. Officetels for jeonse + monthly rent across neighborhoods ```json { "searchQueries": ["역삼동", "서초동"], "realEstateTypes": ["OPST"], "tradeTypes": ["B1", "B2"], "maxItems": 1000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "KR" } } ``` #### 3. Everything in a region by code ```json { "cortarNos": ["1168010100"], "realEstateTypes": ["APT", "OPST", "VL"], "maxItems": 2000 } ``` *** ### Output example ```json { "articleNo": "2500000000", "articleName": "역삼동 아이파크", "url": "https://new.land.naver.com/articles/2500000000", "realEstateType": "아파트", "tradeType": "매매", "price": "21억 5,000", "rentPrice": "", "priceChangeState": "SAME", "areaName": "84A", "supplyAreaM2": 110, "exclusiveAreaM2": 84, "floorInfo": "12/20", "direction": "남향", "confirmDate": "20260601", "tags": ["25년이내", "역세권", "주차가능"], "latitude": "37.500", "longitude": "127.036", "realtorName": "역삼OO공인중개사", "agentOffice": "역삼OO공인중개사", "agentPhone": "02-000-0000", "scrapedAt": "2026-06-09T10:00:00.000Z" } ``` *** ### How to use (step by step) 1. Open the actor and click **Try for free**. 2. In **Location searches**, add one or more Korean place names (e.g. `강남구`, `역삼동`). 3. Choose **Property types** (apartment, officetel, villa…) and **Trade types** (sale, jeonse, rent). 4. Toggle **Include agent details** if you want agent office and phone numbers. 5. Set **Max items** to control dataset size. 6. Click **Save & Start**. 7. When the run finishes, open the **Dataset** tab and export to JSON, CSV, Excel, or pull it via API. *** ### Tips for best results - **Keep the Korean residential proxy.** Naver Land requires a KR residential proxy; the default is already configured. - **Search precisely.** A neighborhood (동) gives tighter, more relevant results than a whole district. - **Filter by type.** Narrow `realEstateTypes` and `tradeTypes` to exactly what you need to keep runs fast and datasets clean. - **Start small.** Preview with a low `maxItems`, then scale up. - **Agent details cost extra requests.** Disable `includeAgentDetails` if you only need core listing data and want maximum speed. *** ### Use cases - 📊 **Price analytics** — track sale, jeonse, and monthly-rent levels by district and complex. - 🏠 **Valuation & AVM models** — feed area, floor, direction, and price into pricing pipelines. - 🧲 **Agent lead generation** — build contact lists of active listing offices and agents. - 🌏 **Relocation platforms** — surface available apartments and officetels for incoming residents. - 🔍 **Competitive monitoring** — watch competing listings and price changes in your target areas. - 🤖 **AI & data products** — supply fresh, structured Korean property data to apps and assistants. *** ### Integrations & export Export as **JSON, CSV, Excel, HTML table, or RSS**, or fetch results through the **API**. Connect to **Make, Zapier, n8n, Google Sheets, Slack, GitHub**, and more, or schedule runs to keep your dataset fresh. *** ### Pricing This actor runs on a simple pay-per-result model — you only pay for the listings you collect. Start small with the free tier and scale up as needed. *** ### FAQ **Which property types are covered?** Apartments, officetels, villas, pre-sale apartments, reconstruction listings, one-rooms, and more — select what you need. **Can I get the agent's phone number?** Yes — enable **Include agent details** to add the listing office, agent phone, and full description. **Do I need a Naver account?** No account or key is required. **Why is a Korean proxy required?** Naver Land serves its data to Korean visitors; a KR residential proxy is needed for reliable access. The default proxy is preconfigured. **How do I scrape a whole district?** Use the district name (e.g. `송파구`) as a search query, or supply its region code. **How many listings can I scrape?** As many as you need — set `maxItems` to `0` for no limit. **What is a cortarNo?** It's Naver Land's internal region code. You can supply it directly for precise, repeatable runs, or just use a Korean location name and let the actor resolve it. *** Need another Korean data source or a custom field? Open an issue on the actor's **Issues** tab — feedback and feature requests are welcome. # Actor input Schema ## `searchQueries` (type: `array`): Korean location names — district (구), neighborhood (동) or town. Examples: 강남구, 역삼동, 분당구. Each is resolved to a region and scraped. ## `cortarNos` (type: `array`): Advanced: Naver Land region codes (cortarNo) to scrape directly, e.g. 1168010100. ## `realEstateTypes` (type: `array`): Property types to include. APT = apartment, OPST = officetel, VL = villa/low-rise, ABYG = pre-sale apartment, JGC = reconstruction, OR = one-room. ## `tradeTypes` (type: `array`): Leave empty for all. A1 = sale (매매), B1 = jeonse (전세), B2 = monthly rent (월세), B3 = short-term. ## `includeAgentDetails` (type: `boolean`): Fetch each listing's detail page to add the agent's office, phone number and full description (extra requests). ## `maxItems` (type: `integer`): Maximum listings to save. 0 = no limit. ## `maxConcurrency` (type: `integer`): Parallel detail requests during enrichment. ## `proxyConfiguration` (type: `object`): Naver Land requires a Korean (KR) residential proxy. Keep the default unless you have your own KR residential proxy. ## Actor input object example ```json { "searchQueries": [ "강남구", "마포구" ], "realEstateTypes": [ "APT", "OPST", "VL" ], "tradeTypes": [], "includeAgentDetails": true, "maxItems": 100, "maxConcurrency": 8, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } } ``` # Actor output Schema ## `listings` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "역삼동" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } }; // Run the Actor and wait for it to finish const run = await client.actor("haketa/naver-land-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["역삼동"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "KR", }, } # Run the Actor and wait for it to finish run = client.actor("haketa/naver-land-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "역삼동" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } }' | apify call haketa/naver-land-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=haketa/naver-land-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver Land Scraper - Korea Apartments & Officetels", "description": "Naver Land scraper & data API for South Korea real estate: search apartments, officetels & villas for sale (매매), jeonse (전세) & monthly rent (월세); export price, area, floor, direction, location, tags & the listing agent. Korea property market data & lead generation — fast.", "version": "0.1", "x-build-id": "NrzsJbeVIQgDTE9ov" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/haketa~naver-land-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-haketa-naver-land-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/haketa~naver-land-scraper/runs": { "post": { "operationId": "runs-sync-haketa-naver-land-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/haketa~naver-land-scraper/run-sync": { "post": { "operationId": "run-sync-haketa-naver-land-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Location searches (Korean)", "type": "array", "description": "Korean location names — district (구), neighborhood (동) or town. Examples: 강남구, 역삼동, 분당구. Each is resolved to a region and scraped.", "items": { "type": "string" } }, "cortarNos": { "title": "Region codes (cortarNo, advanced)", "type": "array", "description": "Advanced: Naver Land region codes (cortarNo) to scrape directly, e.g. 1168010100.", "items": { "type": "string" } }, "realEstateTypes": { "title": "Property types", "type": "array", "description": "Property types to include. APT = apartment, OPST = officetel, VL = villa/low-rise, ABYG = pre-sale apartment, JGC = reconstruction, OR = one-room.", "items": { "type": "string", "enum": [ "APT", "OPST", "VL", "ABYG", "JGC", "OR", "DDDGG", "SG", "SMS", "GJCG", "APTHGJ" ], "enumTitles": [ "Apartment (APT)", "Officetel (OPST)", "Villa (VL)", "Pre-sale apt (ABYG)", "Reconstruction (JGC)", "One-room (OR)", "Detached house (DDDGG)", "Retail/store (SG)", "Commercial (SMS)", "Land (GJCG)", "Subdivision (APTHGJ)" ] }, "default": [ "APT", "OPST", "VL" ] }, "tradeTypes": { "title": "Trade types", "type": "array", "description": "Leave empty for all. A1 = sale (매매), B1 = jeonse (전세), B2 = monthly rent (월세), B3 = short-term.", "items": { "type": "string", "enum": [ "A1", "B1", "B2", "B3" ], "enumTitles": [ "A1 (Sale 매매)", "B1 (Jeonse 전세)", "B2 (Monthly rent 월세)", "B3 (Short-term)" ] }, "default": [] }, "includeAgentDetails": { "title": "Include agent details", "type": "boolean", "description": "Fetch each listing's detail page to add the agent's office, phone number and full description (extra requests).", "default": true }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum listings to save. 0 = no limit.", "default": 100 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Parallel detail requests during enrichment.", "default": 8 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Naver Land requires a Korean (KR) residential proxy. Keep the default unless you have your own KR residential proxy.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```