# KREAM Korea Scraper | Sneakers, Fashion & Price History (`abotapi/kream-scraper`) Actor Scrape KREAM (kream.co.kr) sneaker and fashion resale data by keyword search, filters, sorts, or product URLs. Extract 34+ fields, including lowest ask, highest bid, market price, premium, retail price, style code, sizes, and optional price history. - **URL**: https://apify.com/abotapi/kream-scraper.md - **Developed by:** [AbotAPI](https://apify.com/abotapi) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 product 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 ## KREAM Scraper — Sneaker & Fashion Resale Prices Scrape **KREAM (kream.co.kr)**, Korea's #1 sneaker and fashion resale marketplace, for live resale prices and product data. Search by keyword with full sorts and filters, or paste product URLs. Returns **45+ fields per product** — lowest ask, highest bid, market price, last sale, premium, sales count, retail price, style code, release date, colorway, every size, wish/review counts and the full image set — **without** needing a separate detail fetch. ### Why this scraper | | This actor | Typical KREAM scrapers | |---|---|---| | Fields per product | **45+** | ~8 (listing) / ~14 with detail | | Market data (ask/bid/premium/sales) | ✅ on every item | ❌ | | Style code, release date, retail, sizes | ✅ in base listing | detail-only (extra charge) | | Sort options | **11** | up to 9 | | Filters | quick delivery, below retail, sold-out, category, gender | up to 3 | | Modes | keyword search + product URLs | search only | | Engine | HTTP API (fast, cheap) | headless browser (slow, 4 GB) | | Detail enrichment | $0.0008/item | up to $0.005/item | The base listing already includes the data most scrapers charge a detail fetch for, so you get more for the per-result price. ### Input | Field | Description | |---|---| | `mode` | `search` (keyword) or `url` (paste KREAM URLs). | | `keywords` | Search terms, e.g. `["nike dunk", "jordan 1"]` (search mode). | | `sort` | `popularity`, `lowest_ask`, `highest_bid`, `wish`, `style_tags` (most reviewed), `date_released`, `discount_rate`, `premium_high`, `premium_low`, `male_popularity`, `female_popularity`. | | `quickDelivery` | Only products with KREAM Quick Delivery (express) stock. | | `belowRetail` | Only products whose lowest ask is below brand retail. | | `excludeSoldOut` | Drop products with no live ask. | | `category` | Optional KREAM category slug (e.g. `sneakers`). | | `gender` | `men`, `women`, `kids` or any. | | `urls` | KREAM product URLs (`/products/`) or search URLs (URL mode). | | `fetchDetails` | Add price history (5 spans), per-size ask/bid, and recent sales/asks/bids. | | `maxItems` | **The cap.** Stop after this many products (default 20; 0 = unlimited). | | `maxPages` | Page-walk safety bound. Leave empty (0) for no page limit — the run stops at **Max items**, not here. | | `proxy` | Apify Residential recommended. | | `mcpConnectors` | Optionally pipe results into Notion / Linear / Airtable / Apify via MCP. Never changes the dataset. | ### Output (per product) `productId`, `url`, `productName`, `productNameKo`, `brand`, `brandId`, `category`, `categoryName`, `styleCode`, `colorway`, `gender`, `releaseDate`, `retailPrice`, `retailPriceFormatted`, `currency`, `imageUrl`, `imageUrls`, `lowestAsk`, `highestBid`, `marketPrice`, `lastSalePrice`, `totalSales`, `changeValue`, `changePercentage`, `premium`, `premiumPercentage`, `hasImmediateDelivery`, `wishCount`, `reviewCount`, `haveCount`, `isActive`, `isTradable`, `sizes`, `sizeOptions`. With `fetchDetails`: `priceHistory` (1m/3m/6m/1y/all series), `inventoryBySize` (per-size lowest ask / highest bid), `recentSales`, `recentAsks`, `recentBids`. Prices are in **KRW**. ### Connection & reliability KREAM gates its API by request headers, not by IP geography — so **any residential country works** (no Korea pin needed). Use **Apify Residential** for the best success rate. > ⚠️ **Datacenter / free-tier:** these connections are more likely to be refused, lowering the success rate and possibly returning zero items. Switch the Proxy setting to Apify Residential if you see repeated refusals. ### Pricing (pay-per-event) | Event | Price | |---|---| | Actor start | $0.08 | | Product result | $0.003 | | Detail enrichment (only when `fetchDetails` is on) | $0.0008 | ### Notes - Korean product names are kept in `productNameKo`; the romanised/English name is `productName`. - This is an unofficial scraper; respect KREAM's terms and applicable law. # Actor input Schema ## `mode` (type: `string`): How to start the scrape. 'search' runs KREAM keyword searches with the sorts and filters below. 'url' processes the KREAM URLs you paste (product URLs are fetched as full detail; search URLs are paged; filter fields below are ignored in URL mode). ## `keywords` (type: `array`): One or more keywords to search KREAM for (e.g. 'nike dunk', 'jordan 1', 'stussy'). Each keyword is scraped independently. ## `sort` (type: `string`): Order KREAM returns results in. ## `quickDelivery` (type: `boolean`): Only return products with KREAM Quick Delivery (express) inventory available. ## `belowRetail` (type: `boolean`): Only return products whose lowest ask is below the brand's retail (original) price. ## `excludeSoldOut` (type: `boolean`): Drop products with no live lowest ask (nothing currently buyable). ## `category` (type: `string`): Optional KREAM category slug to narrow results (e.g. 'sneakers'). Leave empty for all categories. ## `gender` (type: `string`): Optional gender filter. ## `urls` (type: `array`): Paste KREAM product URLs (https://kream.co.kr/products/) or search URLs (https://kream.co.kr/search?keyword=...). Product URLs return full detail; search URLs page forward automatically. ## `fetchDetails` (type: `boolean`): Visit each product's detail endpoint to add price history and per-size ask/bid inventory. Slower and adds a small per-item charge. Most fields (style code, release date, retail, sizes, market prices) are already included without this. ## `maxItems` (type: `integer`): The single cap on this run: stop after collecting this many products (across all keywords/URLs). Set 0 for unlimited. ## `maxPages` (type: `integer`): Safety bound on how many result pages to walk per keyword. Leave empty (0) for no page limit — the run stops at Max items, not here. Does not impose a separate cap below Max items. ## `proxy` (type: `object`): Use Apify Residential proxy for reliable results. A country pin is optional. ## `mcpConnectors` (type: `array`): Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify → Settings → API & Integrations, then select it here. Notion gets a rich page-per-item export; other connectors get a best-effort write/digest. Leave empty to skip; never changes the dataset output. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com). ## `notionParentPageUrl` (type: `string`): URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors. ## `maxNotifyListings` (type: `integer`): Cap on items written to each connector per run. Does not affect the dataset. ## Actor input object example ```json { "mode": "search", "keywords": [ "nike" ], "sort": "popularity", "quickDelivery": false, "belowRetail": false, "excludeSoldOut": false, "gender": "", "urls": [ "https://kream.co.kr/products/23879" ], "fetchDetails": false, "maxItems": 20, "maxPages": 0, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "maxNotifyListings": 50 } ```` # Actor output Schema ## `overview` (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 = { "mode": "search", "keywords": [ "nike" ], "urls": [ "https://kream.co.kr/products/23879" ], "maxItems": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("abotapi/kream-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 = { "mode": "search", "keywords": ["nike"], "urls": ["https://kream.co.kr/products/23879"], "maxItems": 20, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("abotapi/kream-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 '{ "mode": "search", "keywords": [ "nike" ], "urls": [ "https://kream.co.kr/products/23879" ], "maxItems": 20, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call abotapi/kream-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abotapi/kream-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "KREAM Korea Scraper | Sneakers, Fashion & Price History", "description": "Scrape KREAM (kream.co.kr) sneaker and fashion resale data by keyword search, filters, sorts, or product URLs. Extract 34+ fields, including lowest ask, highest bid, market price, premium, retail price, style code, sizes, and optional price history.", "version": "1.0", "x-build-id": "a16jfN7FMKTb2SILb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abotapi~kream-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abotapi-kream-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/abotapi~kream-scraper/runs": { "post": { "operationId": "runs-sync-abotapi-kream-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/abotapi~kream-scraper/run-sync": { "post": { "operationId": "run-sync-abotapi-kream-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "url" ], "type": "string", "description": "How to start the scrape. 'search' runs KREAM keyword searches with the sorts and filters below. 'url' processes the KREAM URLs you paste (product URLs are fetched as full detail; search URLs are paged; filter fields below are ignored in URL mode).", "default": "search" }, "keywords": { "title": "Keywords", "type": "array", "description": "One or more keywords to search KREAM for (e.g. 'nike dunk', 'jordan 1', 'stussy'). Each keyword is scraped independently.", "default": [ "nike" ], "items": { "type": "string" } }, "sort": { "title": "Sort by", "enum": [ "popularity", "lowest_ask", "highest_bid", "wish", "style_tags", "date_released", "discount_rate", "premium_high", "premium_low", "male_popularity", "female_popularity" ], "type": "string", "description": "Order KREAM returns results in.", "default": "popularity" }, "quickDelivery": { "title": "Quick delivery only", "type": "boolean", "description": "Only return products with KREAM Quick Delivery (express) inventory available.", "default": false }, "belowRetail": { "title": "Below retail only", "type": "boolean", "description": "Only return products whose lowest ask is below the brand's retail (original) price.", "default": false }, "excludeSoldOut": { "title": "Exclude sold out", "type": "boolean", "description": "Drop products with no live lowest ask (nothing currently buyable).", "default": false }, "category": { "title": "Category slug", "type": "string", "description": "Optional KREAM category slug to narrow results (e.g. 'sneakers'). Leave empty for all categories." }, "gender": { "title": "Gender", "enum": [ "", "men", "women", "kids" ], "type": "string", "description": "Optional gender filter.", "default": "" }, "urls": { "title": "KREAM URLs", "type": "array", "description": "Paste KREAM product URLs (https://kream.co.kr/products/) or search URLs (https://kream.co.kr/search?keyword=...). Product URLs return full detail; search URLs page forward automatically.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch full details", "type": "boolean", "description": "Visit each product's detail endpoint to add price history and per-size ask/bid inventory. Slower and adds a small per-item charge. Most fields (style code, release date, retail, sizes, market prices) are already included without this.", "default": false }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "The single cap on this run: stop after collecting this many products (across all keywords/URLs). Set 0 for unlimited.", "default": 20 }, "maxPages": { "title": "Max pages per keyword", "minimum": 0, "type": "integer", "description": "Safety bound on how many result pages to walk per keyword. Leave empty (0) for no page limit — the run stops at Max items, not here. Does not impose a separate cap below Max items.", "default": 0 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Use Apify Residential proxy for reliable results. A country pin is optional.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "mcpConnectors": { "title": "Pipe results into your apps (optional)", "type": "array", "description": "Optionally send results into the apps you already use, via Model Context Protocol (MCP) connectors. Authorize one under Apify → Settings → API & Integrations, then select it here. Notion gets a rich page-per-item export; other connectors get a best-effort write/digest. Leave empty to skip; never changes the dataset output. Supported: Notion (https://mcp.notion.com/mcp), Linear (https://mcp.linear.app/sse), Airtable (https://mcp.airtable.com/mcp), Apify (https://mcp.apify.com)." }, "notionParentPageUrl": { "title": "Notion parent page (Notion connector only)", "type": "string", "description": "URL (or id) of the Notion page under which item pages are created. Required to enable the Notion export; ignored by other connectors." }, "maxNotifyListings": { "title": "Max items to export per connector", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on items written to each connector per run. Does not affect the dataset.", "default": 50 } } }, "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 } } } } } } } } } } ```