# Daangn Market Scraper (`yohan.kim/daangn-market-scraper`) Actor Scrape secondhand marketplace listings from daangn.com (Karrot Korea) by keyword and optional region slug. - **URL**: https://apify.com/yohan.kim/daangn-market-scraper.md - **Developed by:** [요한 김](https://apify.com/yohan.kim) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Daangn (당근마켓 / Karrot) Marketplace Scraper Search and extract secondhand listings from [Daangn](https://www.daangn.com) — Korea's dominant hyperlocal marketplace with 30M+ users, where Koreans buy and sell everything from iPhones to furniture within their neighborhoods. ### What you get For every listing: | Field | Example | |---|---| | `title` | 애플 아이폰 16 화이트 256GB | | `price` / `priceText` | 800000 / 800,000원 | | `status` | 판매중 (for sale) · 예약중 (reserved) · 거래완료 (sold) | | `region` | 삼평동 | | `listingUrl` / `listingId` | direct link to the listing | | `thumbnailUrl` | listing photo | | `description` | listing body text | | `postedAt` | ISO timestamp | | `keyword` / `searchRegion` | which search produced this item | ### Use cases - **Price intelligence** — track real secondhand market prices for phones, laptops, appliances in Korea (the price Koreans actually pay, not retail). - **Resale arbitrage** — monitor listings for underpriced items by keyword and region, on a schedule. - **Market research** — measure supply/demand of any product category in the world's most active hyperlocal marketplace. - **Dataset building** — Korean-language marketplace listings for ML/AI training. ### Usage ```json { "keywords": ["아이폰", "맥북"], "regions": ["역삼동-6035"], "maxItemsPerSearch": 50, "includeSold": false } ```` - `regions` uses Daangn's region slugs (the `in=` parameter you see on daangn.com URLs). Leave empty for default results. - `includeSold: true` keeps 거래완료 (sold) listings — useful for price history. - Sold-price analysis tip: run daily with `includeSold: true` and diff statuses over time. ### Notes - Plain-HTTP scraper (no browser) — fast and cheap to run. - Only publicly visible listing data is collected. - Korean text is preserved in UTF-8. # Actor input Schema ## `keywords` (type: `array`): Search terms to scrape on Daangn. ## `regions` (type: `array`): Optional Daangn region slugs, for example 서초구-6035. Empty uses Daangn's default location behavior for the request. ## `maxItemsPerSearch` (type: `integer`): Maximum listings to return per keyword/region search. Use 0 for all listings present in the public page payload. ## `includeSold` (type: `boolean`): Include listings marked as completed/sold. ## `proxyConfiguration` (type: `object`): Proxy settings. Default Apify datacenter proxies are enabled. ## Actor input object example ```json { "keywords": [ "아이폰" ], "regions": [], "maxItemsPerSearch": 50, "includeSold": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "keywords": [ "아이폰" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("yohan.kim/daangn-market-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 = { "keywords": ["아이폰"], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("yohan.kim/daangn-market-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 '{ "keywords": [ "아이폰" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call yohan.kim/daangn-market-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yohan.kim/daangn-market-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Daangn Market Scraper", "description": "Scrape secondhand marketplace listings from daangn.com (Karrot Korea) by keyword and optional region slug.", "version": "0.1", "x-build-id": "mp66dYIdOmkIk3Srb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yohan.kim~daangn-market-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yohan.kim-daangn-market-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/yohan.kim~daangn-market-scraper/runs": { "post": { "operationId": "runs-sync-yohan.kim-daangn-market-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/yohan.kim~daangn-market-scraper/run-sync": { "post": { "operationId": "run-sync-yohan.kim-daangn-market-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": [ "keywords" ], "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "Search terms to scrape on Daangn.", "items": { "type": "string" } }, "regions": { "title": "Region slugs", "type": "array", "description": "Optional Daangn region slugs, for example 서초구-6035. Empty uses Daangn's default location behavior for the request.", "items": { "type": "string" }, "default": [] }, "maxItemsPerSearch": { "title": "Max items per search", "minimum": 0, "type": "integer", "description": "Maximum listings to return per keyword/region search. Use 0 for all listings present in the public page payload.", "default": 50 }, "includeSold": { "title": "Include sold listings", "type": "boolean", "description": "Include listings marked as completed/sold.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Default Apify datacenter proxies are enabled." } } }, "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 } } } } } } } } } } ```