StockX Sales History Scraper

Extract multi-bucket sales statistics for any StockX product — annual, 90-day, and 72-hour averages, volatility, price premium, and per-size activity — all in one structured dataset.

Why use this actor

• No account required — reads public StockX product pages; no login or API key needed.
• Four time buckets in one run — annual, last-90-days, last-72-hours, and all-time stats are fetched together so you don't need separate requests per window.
• Per-size breakdowns — one PER_VARIANT row per size with its own 72-hour sales count, annual average price, and annual sales count.
• Stable two-record schema — an AGGREGATE summary row followed by PER_VARIANT rows; import directly into a spreadsheet, database, or ML pipeline without transformation.
• Batch-friendly — supply a list of product URLs and all results are collected in Apify's default dataset, exportable as JSON, CSV, or Excel.
• Localized pricing — configure ship-to country and display currency per run.

How it works

1. You provide a list of StockX product URLs in the productUrls field.
2. For each product, the actor fetches the full market detail page, which includes statistics across all time windows.
3. An AGGREGATE record is saved per product with the last sale price, and the annual, 90-day, 72-hour, and all-time buckets — each including average price, sales count, volatility, price premium, high, and low where available.
4. One PER_VARIANT record is saved per size with its 72-hour sales count, last sale, annual average price, and annual sales count.
5. All records land in Apify's default dataset, exportable as JSON, CSV, or Excel.

You don't need to manage any browsers or scrapers.

Input

{
    "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,
    "maxRequestRetries": 6,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Field	Type	Default	Description
productUrls	URL[]	—	Required. StockX product URLs (https://stockx.com/<slug>).
country	string	"US"	Two-letter ISO country code for pricing locale.
currency	string	"USD"	ISO currency code (e.g. USD, EUR, GBP).
maxConcurrency	integer	2	Number of parallel workers.
maxRequestRetries	integer	6	Retry budget per request before skipping.
proxyConfiguration	object	RESIDENTIAL	Apify Proxy or custom proxy list. RESIDENTIAL group recommended.

Output

One AGGREGATE row followed by one PER_VARIANT row per size:

{
    "recordType": "AGGREGATE",
    "productId": "...",
    "urlKey": "nike-dunk-low-panda",
    "title": "Nike Dunk Low Retro White Black Panda (2021)",
    "variantCount": 19,
    "sources": ["graphql", "search"],
    "matchScore": 0.8,
    "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",
    "variant": {
        "market": {
            "statistics": {
                "salesLast72Hours": 4,
                "annualAveragePrice": 298,
                "annualSalesCount": 611
            }
        }
    }
}

Field	Type	Description
recordType	string	"AGGREGATE" for the product summary, "PER_VARIANT" for per-size rows.
productId	string	StockX UUID for the product (on AGGREGATE rows).
urlKey	string	StockX slug.
title	string	Product display title.
variantCount	integer	Total number of size variants (on AGGREGATE rows).
sources	string[]	Data sources used, e.g. ["graphql", "search"].
matchScore	number	Confidence that the resolved product matches the input URL (1.0 = exact).
searchEdge	object	Market statistics object with time-bucketed averages, counts, and volatility.
variantId	string	StockX UUID for the size variant (on PER_VARIANT rows).
variant	object	Per-size statistics: 72-hour sales count, annual average price, annual sales count.

Other StockX Scrapers

Actor	What it does
StockX Search Scraper	Search keywords or categories; get every result tile with live market data.
StockX Product Scraper	Full product detail — market snapshot, traits, stats — from a list of product URLs.
StockX Orderbook Scraper	Live per-size bid/ask orderbook with spread and 72-hour velocity for any product.
StockX Sales History Scraper	Multi-bucket sales statistics (annual, 90-day, 72-hour) plus per-size breakdowns.
StockX Release Calendar Scraper	Upcoming and recent drops with release dates and pre-release bid/ask signals.