# Buff163 Price Scraper (`plum_vegetable/buff163-scraper`) Actor Fast Buff163 scraper for CS2 skins. Retrieves real time market data: Lowest Sell Price, Highest Buy Order, total listing counts, and Steam price comparisons (USD/CNY). Fully autonomous no cookies or login required. - **URL**: https://apify.com/plum\_vegetable/buff163-scraper.md - **Developed by:** [Catify](https://apify.com/plum_vegetable) (community) - **Categories:** Automation, AI, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 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 ## Buff163 CS2 Scraper The Buff163 CS2 Scraper is a robust data extraction tool designed to pull real-time Counter-Strike 2 item prices directly from the Buff163 marketplace. Built for scale and reliability, it provides an automated solution for retrieving up-to-date market data without manual intervention or login requirements. ### Key Features - **Real-Time Market Data**: Instantly retrieve the current lowest sell price and the highest buy order for any CS2 item on Buff163 in CNY. - **Reference Pricing**: Automatically extracts the equivalent Steam Community Market price in USD to facilitate immediate cross-market comparison. - **High Throughput**: Capable of processing lists of items with built-in retry logic to ensure high success rates on large datasets. - **Zero Configuration**: The scraper operates autonomously. You do not need to provide a Buff163 account, login credentials, or session cookies. ### Common Use Cases - **Market Arbitrage**: Identify profitable price discrepancies between Buff163 and other third-party marketplaces or the Steam Community Market. - **Inventory Valuation**: Automatically calculate the real-world cash value of large CS2 inventories based on current, liquid market rates. - **Trend Analysis**: Collect pricing data on a schedule to model market trends, track price fluctuations, and forecast future values. - **Platform Integration**: Feed accurate pricing data directly into your own trading bots, pricing applications, or Discord services. ### Input Configuration The scraper requires a simple JSON input containing the items you wish to query. - `market_hash_names` (Array of Strings): The exact Steam Market Hash Name of the items you want to scrape. This field is case-sensitive and must include the exterior/wear if applicable. - `proxy_configuration` (Object): Standard Apify proxy configuration. **Input Example:** ```json { "market_hash_names": [ "AK-47 | Slate (Field-Tested)", "AWP | Asiimov (Field-Tested)" ] } ```` ### Output Data Structure The scraper delivers results in a clean, structured JSON format, ready for immediate use in your applications or for export to CSV/Excel formats via the Apify platform. **Output Example:** ```json [ { "market_hash_name": "AK-47 | Slate (Field-Tested)", "buff_id": 857550, "buff_url": "https://buff.163.com/goods/857550?from=market", "scraped_at": "2026-05-13T23:54:08.559014Z", "lowest_sell_price_cny": "28", "total_sell_listings": "91", "steam_price_usd": "6.18", "steam_price_cny": "41.97", "highest_buy_order_cny": "28.5", "total_buy_orders": "91" }, { "market_hash_name": "MP9 | Urban Sovereign (Minimal Wear)", "buff_id": 1134187, "buff_url": "https://buff.163.com/goods/1134187?from=market", "scraped_at": "2026-05-13T23:54:18.527775Z", "lowest_sell_price_cny": "14.19", "total_sell_listings": "91", "steam_price_usd": "3.34", "steam_price_cny": "22.68", "highest_buy_order_cny": "13.5", "total_buy_orders": "6" } ] ``` ### Best Practices To ensure maximum data retrieval and avoid timeouts on large inputs, we highly recommend utilizing Residential Proxies provided by Apify. Buff163 implements strict rate limiting; utilizing high-quality proxies will distribute your requests and prevent access restrictions. # Actor input Schema ## `market_hash_names` (type: `array`): List of item market hash names to scrape (e.g., \['AK-47 | Slate (Field-Tested)']) ## `proxy_configuration` (type: `object`): Proxy settings for the scraper. ## Actor input object example ```json { "market_hash_names": [ "AK-47 | Slate (Field-Tested)" ] } ``` # Actor output Schema ## `summary` (type: `string`): Execution summary message. # 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 = { "market_hash_names": [ "AK-47 | Slate (Field-Tested)" ] }; // Run the Actor and wait for it to finish const run = await client.actor("plum_vegetable/buff163-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 = { "market_hash_names": ["AK-47 | Slate (Field-Tested)"] } # Run the Actor and wait for it to finish run = client.actor("plum_vegetable/buff163-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 '{ "market_hash_names": [ "AK-47 | Slate (Field-Tested)" ] }' | apify call plum_vegetable/buff163-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=plum_vegetable/buff163-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Buff163 Price Scraper", "description": "Fast Buff163 scraper for CS2 skins. Retrieves real time market data: Lowest Sell Price, Highest Buy Order, total listing counts, and Steam price comparisons (USD/CNY). Fully autonomous no cookies or login required.", "version": "1.0", "x-build-id": "DFHGf2DjwzInfdJiT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/plum_vegetable~buff163-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-plum_vegetable-buff163-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/plum_vegetable~buff163-scraper/runs": { "post": { "operationId": "runs-sync-plum_vegetable-buff163-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/plum_vegetable~buff163-scraper/run-sync": { "post": { "operationId": "run-sync-plum_vegetable-buff163-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": [ "market_hash_names" ], "properties": { "market_hash_names": { "title": "Market Hash Names", "type": "array", "description": "List of item market hash names to scrape (e.g., ['AK-47 | Slate (Field-Tested)'])", "items": { "type": "string" } }, "proxy_configuration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the scraper." } } }, "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 } } } } } } } } } } ```