# CS2 Skin Pulse (`0xgollum/cs2-skin-pulse`) Actor Track CS2 (Counter-Strike 2) skin prices on the Steam Community Market and catch momentum — price spikes, drops, and listing-volume surges — as they happen. - **URL**: https://apify.com/0xgollum/cs2-skin-pulse.md - **Developed by:** [0xGollum](https://apify.com/0xgollum) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $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 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 ## CS2 Skin Pulse 🔪 **Catch CS2 (Counter-Strike 2) skin price momentum — spikes, drops, and volume surges — before you check the market manually.** The Steam Community Market moves fast: skins pump on patch news, tournament hype, or a sudden supply squeeze. This actor tracks your watchlist and flags the moment prices or trading volume shift since the last check — no need to babysit the market page. ### What you get Two row types per run: - **Snapshot** — current price + volume for every tracked item - **Signal** — a named, fired condition: | Signal | Meaning | |--------|---------| | `price_spike` | Price up since the previous run (threshold configurable) | | `price_drop` | Price down since the previous run | | `volume_spike` | Listed volume surged vs the previous run | Signals compare against **the previous run**, persisted in a key-value store — so the more often you schedule it, the sharper the signal. ### Source **Steam Community Market** (public, no API key, no login). Covers any tradable CS2 item: rifles, knives, gloves, cases, stickers. ### Use cases - **Skin traders** — get alerted the moment something you're watching moves - **Flippers** — spot volume surges (a sign of incoming price action) early - **Bots & automations** — feed clean signals into your own trading/alerting flow ### Input (all optional) | Field | Default | Description | |-------|---------|--------------| | `items` | 8-item default watchlist | Exact Steam market names to track | | `auto_discover_top` | `0` | Also track the top N items by listing volume | | `max_concurrency` | `4` | Parallel Steam requests (keep low to avoid rate limits) | | `price_spike_threshold_pct` | `5.0` | % price rise to fire `price_spike` | | `price_drop_threshold_pct` | `-5.0` | % price fall to fire `price_drop` | | `volume_spike_ratio` | `1.5` | Volume vs last run to fire `volume_spike` | | `min_price_usd` | `1.0` | Ignore items priced below this | #### Example ```json { "items": ["AK-47 | Redline (Field-Tested)", "AWP | Asiimov (Field-Tested)"], "price_spike_threshold_pct": 3 } ```` > ⚠️ Use the **exact** Steam market name, e.g. `AK-47 | Redline (Field-Tested)` (find it in the item's Steam Market URL or page title). ### Output ```json { "type": "signal", "name": "AK-47 | Redline (Field-Tested)", "signal": "price_spike", "direction": "bullish", "strength": "high", "message": "Price up +10.0% since last run." } ``` ### Pricing **Pay per result:** **$0.002 per row** (snapshots + signals). Tracking 8 items costs a fraction of a cent per run. ### Tips - **Schedule it** every 30–60 min — signals only fire by comparing to a previous run, so the first run just builds the baseline. - The Steam Market throttles anonymous requests; keep `max_concurrency` low (default 4) and your watchlist reasonably sized. *** *⚠️ Not financial advice. Skin trading carries real financial risk. This actor surfaces market data — it does not tell you what to buy or sell. All data from Valve's public Steam Community Market.* # Actor input Schema ## `items` (type: `array`): Exact Steam Market names (market\_hash\_name) of CS2 items to track, e.g. 'AK-47 | Redline (Field-Tested)'. Leave empty to use the built-in default watchlist. ## `auto_discover_top` (type: `integer`): Additionally track the top N CS2 items by listing volume on the Steam Market (0 = disabled). These tend to be cheap, high-turnover items like cases and stickers. ## `max_concurrency` (type: `integer`): How many Steam Market requests to run in parallel. Keep low to avoid rate limiting. ## `price_spike_threshold_pct` (type: `number`): Minimum price rise (%) since the previous run to fire price\_spike. ## `price_drop_threshold_pct` (type: `number`): Maximum price move (%, negative) since the previous run to fire price\_drop. ## `volume_spike_ratio` (type: `number`): Listed volume divided by the previous run's volume must reach this to fire volume\_spike. ## `min_price_usd` (type: `number`): Ignore items priced below this (filters out near-worthless stickers/graffiti). ## Actor input object example ```json { "items": [], "auto_discover_top": 0, "max_concurrency": 4, "price_spike_threshold_pct": 5, "price_drop_threshold_pct": -5, "volume_spike_ratio": 1.5, "min_price_usd": 1 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("0xgollum/cs2-skin-pulse").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 = {} # Run the Actor and wait for it to finish run = client.actor("0xgollum/cs2-skin-pulse").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 '{}' | apify call 0xgollum/cs2-skin-pulse --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=0xgollum/cs2-skin-pulse", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "CS2 Skin Pulse", "description": "Track CS2 (Counter-Strike 2) skin prices on the Steam Community Market and catch momentum — price spikes, drops, and listing-volume surges — as they happen.", "version": "0.1", "x-build-id": "h80DKFbflhiz57skz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/0xgollum~cs2-skin-pulse/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-0xgollum-cs2-skin-pulse", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/0xgollum~cs2-skin-pulse/runs": { "post": { "operationId": "runs-sync-0xgollum-cs2-skin-pulse", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/0xgollum~cs2-skin-pulse/run-sync": { "post": { "operationId": "run-sync-0xgollum-cs2-skin-pulse", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "items": { "title": "Items to track", "type": "array", "description": "Exact Steam Market names (market_hash_name) of CS2 items to track, e.g. 'AK-47 | Redline (Field-Tested)'. Leave empty to use the built-in default watchlist.", "default": [], "items": { "type": "string" } }, "auto_discover_top": { "title": "Auto-discover top N items", "minimum": 0, "maximum": 100, "type": "integer", "description": "Additionally track the top N CS2 items by listing volume on the Steam Market (0 = disabled). These tend to be cheap, high-turnover items like cases and stickers.", "default": 0 }, "max_concurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many Steam Market requests to run in parallel. Keep low to avoid rate limiting.", "default": 4 }, "price_spike_threshold_pct": { "title": "Price spike threshold (%)", "type": "number", "description": "Minimum price rise (%) since the previous run to fire price_spike.", "default": 5 }, "price_drop_threshold_pct": { "title": "Price drop threshold (%)", "type": "number", "description": "Maximum price move (%, negative) since the previous run to fire price_drop.", "default": -5 }, "volume_spike_ratio": { "title": "Volume spike ratio", "type": "number", "description": "Listed volume divided by the previous run's volume must reach this to fire volume_spike.", "default": 1.5 }, "min_price_usd": { "title": "Minimum price (USD)", "type": "number", "description": "Ignore items priced below this (filters out near-worthless stickers/graffiti).", "default": 1 } } }, "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 } } } } } } } } } } ```