# Naver Real Estate Listings Scraper (`hgservices/naver-real-estate-listings-scraper`) Actor 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. - **URL**: https://apify.com/hgservices/naver-real-estate-listings-scraper.md - **Developed by:** [Harish Garg](https://apify.com/hgservices) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### What does Naver Real Estate Listings Scraper do? **Naver Real Estate Listings Scraper** collects active property listings from [Naver Real Estate](https://fin.land.naver.com/) 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 1. Open the Actor in Apify and go to the Input tab. 2. Add one or more apartment complex targets. 3. Start the Actor and wait for it to collect the active listings. 4. Open the Dataset tab to review, filter, or export the results. 5. 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. ```json { "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. # Actor input Schema ## `startTargets` (type: `array`): Any mix of a fin.land.naver.com map URL with a selected apartment, a /complexes/{id} URL, or a bare complex ID. ## `proxyConfiguration` (type: `object`): Apify Proxy. Residential, country KR recommended. ## Actor input object example ```json { "startTargets": [ "https://fin.land.naver.com/complexes/8928", "174439" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } } ``` # 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 = { "startTargets": [ "https://fin.land.naver.com/complexes/8928", "174439" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } }; // Run the Actor and wait for it to finish const run = await client.actor("hgservices/naver-real-estate-listings-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 = { "startTargets": [ "https://fin.land.naver.com/complexes/8928", "174439", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "KR", }, } # Run the Actor and wait for it to finish run = client.actor("hgservices/naver-real-estate-listings-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 '{ "startTargets": [ "https://fin.land.naver.com/complexes/8928", "174439" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "KR" } }' | apify call hgservices/naver-real-estate-listings-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hgservices/naver-real-estate-listings-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naver Real Estate Listings Scraper", "description": "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.", "version": "0.1", "x-build-id": "fhF8xxS6X9jvZ5Jws" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hgservices~naver-real-estate-listings-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hgservices-naver-real-estate-listings-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hgservices~naver-real-estate-listings-scraper/runs": { "post": { "operationId": "runs-sync-hgservices-naver-real-estate-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hgservices~naver-real-estate-listings-scraper/run-sync": { "post": { "operationId": "run-sync-hgservices-naver-real-estate-listings-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startTargets" ], "properties": { "startTargets": { "title": "Complexes (URL or ID)", "type": "array", "description": "Any mix of a fin.land.naver.com map URL with a selected apartment, a /complexes/{id} URL, or a bare complex ID.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify Proxy. Residential, country KR recommended.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```