# StockX Catalog Scraper — SKU, Price & Size Charts (`axery/stockx-product-catalog-scraper`) Actor

Scrape StockX product catalog data - brand, model, style code (SKU), colorway, retail price, release date, and the full size run with multi-region conversions. No login, no API key.

- **URL**: https://apify.com/axery/stockx-product-catalog-scraper.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Categories:** E-commerce, Business, Other
- **Stats:** 3 total users, 2 monthly users, 77.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Product Catalog & Size Chart Scraper

Scrapes StockX product catalog data — brand, model, style code (SKU), colorway, retail price, release date, and the complete size run with multi-region conversions. No login, no API key.

Useful for sneaker/streetwear inventory matching, catalog enrichment, and building a product reference database keyed by manufacturer style code.

### What makes this different

**The style code (SKU) is a first-class field.** `DD1391-100` is the manufacturer's own product code — the key that matches a StockX listing to the same item in a retailer feed, a warehouse system, or another marketplace. Getting it as a clean field is what makes cross-catalog matching a join instead of a fuzzy title-match.

**Size conversions across six regions, per size.** Every size in the run arrives with StockX's own US M / US W / UK / EU / CM / KR equivalents. That removes an entire class of conversion-table maintenance for anyone matching listings across regional markets.

**It works at all — and here's why.** StockX's WAF answers HTTP/2 requests with 403 but serves the same URL normally over HTTP/1.1. That single protocol-version difference is what this Actor rests on, found by differential testing (identical requests, only the protocol changed) and confirmed stable across repeated runs. No forged signatures, no spoofed identity, no login.

### What this does NOT provide

**No live market pricing.** Last sale, highest bid, lowest ask, and sales volume are fetched by StockX's own front-end *after* the page renders, and are absent from the server-side payload this Actor reads. `retail_price` is the original MSRP, not a current market price. An actor claiming live StockX resale prices from this surface would be claiming something the data doesn't contain.

### Input

| Field | Type | Notes |
|---|---|---|
| `products` | array | Full StockX product URLs, or just the slug. |
| `proxyConfiguration` | object | Defaults to Residential. |

### Output

```json
{
  "product_id": "stockx.com:5e6a1e57-1c7d-435a-82bd-5666a13560fe",
  "title": "Nike Dunk Low Retro White Black Panda",
  "brand": "Nike",
  "style_code": "DD1391-100",
  "colorway": "White/Black",
  "retail_price": 115,
  "release_date": "2021-03-10",
  "size_count": 24,
  "sizes": [
    {"size": "3.5", "conversions": {"us m": "US M 3.5", "uk": "UK 3", "eu": "EU 35.5", "cm": "CM 22.5"}}
  ],
  "url": "https://stockx.com/nike-dunk-low-retro-white-black-2021"
}
```

Non-sneaker categories (vintage apparel, collectibles) legitimately have no style code, colorway or retail price — those come through as null rather than fabricated. A product slug that doesn't exist fails with a clear message. Each run also writes a `RUN_COVERAGE` record to the key-value store.

### Local development

```bash
pip install -r requirements.txt
python test_local.py nike-dunk-low-retro-white-black-2021 --out sample_output.json
python test_local.py https://stockx.com/00s-adidas-practice-t-shirt
```

`sample_output.json` is real output from a live run.

# Actor input Schema

## `products` (type: `array`):

Full StockX product URLs, or just the slug from the URL. Each is fetched independently into the same dataset.

## `proxyConfiguration` (type: `object`):

Apify Proxy settings. Defaults to Residential - StockX runs an active WAF, and while this Actor's HTTP/1.1 path avoids its protocol-level check, a clean IP still matters for sustained runs.

## Actor input object example

```json
{
  "products": [
    "nike-dunk-low-retro-white-black-2021"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `products` (type: `string`):

One row per product: identity, style code, colorway, retail price, release date, size run.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "products": [
        "nike-dunk-low-retro-white-black-2021"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/stockx-product-catalog-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "products": ["nike-dunk-low-retro-white-black-2021"] }

# Run the Actor and wait for it to finish
run = client.actor("axery/stockx-product-catalog-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "products": [
    "nike-dunk-low-retro-white-black-2021"
  ]
}' |
apify call axery/stockx-product-catalog-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/stockx-product-catalog-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FjyjYMSCii7jybfXw/builds/AkYbvo4d505eE2n7e/openapi.json