# StockX Sales History Scraper (`xtracto/stockx-sales-history-scraper`) Actor Pull aggregate sales statistics by time bucket (annual / 90d / 72h / all-time) plus per-size 72-hour activity for any StockX product. - **URL**: https://apify.com/xtracto/stockx-sales-history-scraper.md - **Developed by:** [Xtractoo](https://apify.com/xtracto) (community) - **Categories:** E-commerce, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## StockX Sales History Scraper Pull the full sales statistics matrix — annual, 90-day, 72-hour, and all-time buckets — plus per-size 72-hour activity for any StockX product. ### What you can do with it - **Pricing models** — volatility per item per time bucket lets you set safety margins on asks and compute a confidence interval for a holding-period sale. - **Demand curves** — per-size 72-hour sales count combined with average price gives expected daily revenue per pair held. - **ML feature engineering** — annual average price × volatility × price premium × sales count is a tight 4-feature embedding used to predict next-month price. - **Trend analysis** — compare 72h vs 90-day vs annual averages to spot momentum shifts before they appear in broader market data. ### Features - **AGGREGATE row per product** with 4 time buckets (`annual`, `last90Days`, `last72Hours`, `allTime`), each with: `averagePrice`, `salesCount`, `volatility`, `pricePremium`, `high`, `low`. - **Most recent transaction price**: `lastSale`. - **Optional time-series chart** (`salesChart`): array of `{date, value}` points when available. - **PER_VARIANT rows**: salesLast72Hours, lastSale, annualSalesCount, annualAveragePrice per size. - **Graceful degradation** — falls back to search data if product detail is unavailable. - **Default Dataset output** — JSON / CSV / Excel / RSS / HTML export. ### Input ```json { "productUrls": [ { "url": "https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found" }, { "url": "https://stockx.com/nike-dunk-low-panda" } ], "country": "US", "currency": "USD", "maxConcurrency": 2, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` | Field | Type | Description | | --- | --- | --- | | `productUrls` | URL\[] | StockX product URLs (`https://stockx.com/`). | | `country` | string | Two-letter ISO country code (default `US`). | | `currency` | string | ISO currency code (default `USD`). | | `maxConcurrency` | int | Parallel workers (default 2). | | `maxRequestRetries` | int | Per-request retry budget (default 6). | | `proxyConfiguration` | proxy | Apify Proxy or custom list. RESIDENTIAL recommended. | ### Sample Output ```json [ { "recordType": "AGGREGATE", "sourceUrl": "https://stockx.com/air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found", "scrapedAt": "2026-05-09T09:31:04Z", "urlKey": "air-jordan-1-retro-high-og-chicago-reimagined-lost-and-found", "lastSale": 287, "searchEdge": { "market": { "statistics": { "annual": { "averagePrice": 293, "salesCount": 5814, "volatility": 0.093861, "pricePremium": 0.594, "high": 488, "low": 140 }, "last90Days": { "averagePrice": 278, "salesCount": 1138 }, "last72Hours": { "salesCount": 24 } } } } }, { "recordType": "PER_VARIANT", "variantId": "b3f81c2d-9e47-4a8b-c2d5-7f0e3b9a1c84", "size": "10", "variant": { "market": { "statistics": { "salesLast72Hours": 4, "annualAveragePrice": 298, "annualSalesCount": 611 } } } } ] ``` ### Notes Public product data only — no StockX account required. Run on Apify with RESIDENTIAL proxy for reliable per-size data. # Actor input Schema ## `productUrls` (type: `array`): List of StockX product URLs (https://stockx.com/). ## `country` (type: `string`): Two-letter ISO country code (drives marketplace pricing). ## `currency` (type: `string`): ISO currency code returned in `lastSale`, `averagePrice`, etc. ## `maxConcurrency` (type: `integer`): Parallel workers. Each product fans out into a GraphQL + HTML pair. ## `maxRequestRetries` (type: `integer`): Per-request retry budget; profile rotation kicks in on each retry. ## `proxyConfiguration` (type: `object`): Apify Proxy or your own list. RESIDENTIAL is recommended. ## Actor input object example ```json { "productUrls": [ { "url": "https://stockx.com/jordan-1-retro-low-og-banned" } ], "country": "US", "currency": "USD", "maxConcurrency": 2, "maxRequestRetries": 6, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "productUrls": [ { "url": "https://stockx.com/jordan-1-retro-low-og-banned" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("xtracto/stockx-sales-history-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 = { "productUrls": [{ "url": "https://stockx.com/jordan-1-retro-low-og-banned" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("xtracto/stockx-sales-history-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 '{ "productUrls": [ { "url": "https://stockx.com/jordan-1-retro-low-og-banned" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call xtracto/stockx-sales-history-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtracto/stockx-sales-history-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "StockX Sales History Scraper", "description": "Pull aggregate sales statistics by time bucket (annual / 90d / 72h / all-time) plus per-size 72-hour activity for any StockX product.", "version": "1.0", "x-build-id": "IBRVqTtwjxy5V4eE7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtracto~stockx-sales-history-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtracto-stockx-sales-history-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/xtracto~stockx-sales-history-scraper/runs": { "post": { "operationId": "runs-sync-xtracto-stockx-sales-history-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/xtracto~stockx-sales-history-scraper/run-sync": { "post": { "operationId": "run-sync-xtracto-stockx-sales-history-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": [ "productUrls" ], "properties": { "productUrls": { "title": "Product URLs", "type": "array", "description": "List of StockX product URLs (https://stockx.com/).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "country": { "title": "Market / country", "type": "string", "description": "Two-letter ISO country code (drives marketplace pricing).", "default": "US" }, "currency": { "title": "Currency", "type": "string", "description": "ISO currency code returned in `lastSale`, `averagePrice`, etc.", "default": "USD" }, "maxConcurrency": { "title": "Max concurrency", "type": "integer", "description": "Parallel workers. Each product fans out into a GraphQL + HTML pair.", "default": 2 }, "maxRequestRetries": { "title": "Max retries", "type": "integer", "description": "Per-request retry budget; profile rotation kicks in on each retry.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy or your own list. RESIDENTIAL is recommended." } } }, "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 } } } } } } } } } } ```