# StockX Scraper (`moving_beacon-owner1/stockx-scraper`) Actor

Scrapes StockX for sneakers, streetwear, electronics, watches, and collectibles in two modes:

Retrieves paginated search/listing pages via Next.js cache.
Gets full product details and live pricing, including lowest ask, highest bid, and last sale.

- **URL**: https://apify.com/moving\_beacon-owner1/stockx-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** E-commerce, SEO tools, Automation
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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 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 Scraper (Apify Actor)

Apify actor that scrapes [StockX](https://stockx.com) — sneakers, streetwear,
electronics, watches, collectibles — in two modes:

| Input field | What it gets | How |
|---|---|---|
| `searchUrls` | Paginated search/listing pages | Browser-rendered, parsed from the embedded Next.js cache |
| `productUrls` | Full product detail + live pricing | Browser-rendered, includes lowest ask / highest bid / last sale |

Every pushed item carries `_type` and `_sourceUrl`:

```jsonc
// _type=search_result (one per product card)
{
  "_type": "search_result",
  "_sourceUrl": "https://stockx.com/search?s=nike",
  "id": "4795586e-56c6-4802-8580-425821cef344",
  "name": "FC Barcelona Re-Issue 2005/06 Ronaldinho #10 Home",
  "urlKey": "nike-fc-barcelona-2005-06-ronaldinho-10-home-jersey-multicolor",
  "title": "Nike FC Barcelona Re-Issue 2005/06 Ronaldinho #10 Home Jersey Multicolor",
  "brand": "Nike",
  "description": "..."
  // ...all upstream fields preserved
}

// _type=product (one per URL, includes live pricing)
{
  "_type": "product",
  "_sourceUrl": "https://stockx.com/nike-x-stussy-bucket-hat-black",
  "id": "...",
  "title": "...",
  "brand": "Nike",
  "retailPrice": 50,
  "pricing": {
    "lowestAsk": 95,
    "highestBid": 70,
    "lastSale": 88,
    "variants": [...]
  }
  // ...full product object
}
```

### Proxy

StockX is heavily anti-bot — datacenter IPs are reliably blocked. The
default input uses **Apify Proxy with the `RESIDENTIAL` group**. Override
with your own proxy URL via the standard Apify proxy input fields if you
prefer. Without a residential proxy, expect every request to fail.

### Run locally with the Apify CLI

```bash
npm install -g apify-cli
apify login
cd stockx-actor
apify run --purge
```

Deploy:

```bash
apify push
```

### Example input

```json
{
  "searchUrls": [
    "https://stockx.com/search?s=jordan+1",
    "https://stockx.com/search?s=yeezy"
  ],
  "maxSearchPages": 2,
  "productUrls": [
    "https://stockx.com/nike-x-stussy-bucket-hat-black",
    "https://stockx.com/jordan-1-retro-low-og-sp-travis-scott-medium-olive"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### What you get

#### `search_result` items

Summary objects from the StockX : `id`, `urlKey`,
`name`, `title`, `brand`, `description`, image URLs, model, release dates,
retail price, and links to the full product page. Roughly 40–60 cards
per search page.

#### `product` items

The full product object embedded in the product page's Next.js cache, with
a `pricing` field added containing live market data scraped off the same
page: lowest ask, highest bid, last sale, plus per-size variant pricing.

# Actor input Schema

## `searchUrls` (type: `array`):

StockX search or category URLs, e.g. https://stockx.com/search?s=jordan or https://stockx.com/sneakers.

## `maxSearchPages` (type: `integer`):

How many pages of search results to scrape per URL. Each page is browser-rendered, so values >10 can take several minutes per URL.

## `productUrls` (type: `array`):

StockX product detail page URLs, e.g. https://stockx.com/nike-x-stussy-bucket-hat-black. The scraper extracts the full product object from the embedded Next.js cache and includes live pricing (lowest ask / highest bid / last sale).

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

StockX is heavily anti-bot. Apify Proxy with the RESIDENTIAL group is strongly recommended.

## `perTaskTimeoutSeconds` (type: `integer`):

Maximum time to wait for any single URL before giving up and moving on.

## Actor input object example

```json
{
  "searchUrls": [
    "https://stockx.com/search?s=nike"
  ],
  "maxSearchPages": 1,
  "productUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  },
  "perTaskTimeoutSeconds": 180
}
```

# 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 = {
    "searchUrls": [
        "https://stockx.com/search?s=nike"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/stockx-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 = { "searchUrls": ["https://stockx.com/search?s=nike"] }

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/stockx-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 '{
  "searchUrls": [
    "https://stockx.com/search?s=nike"
  ]
}' |
apify call moving_beacon-owner1/stockx-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=moving_beacon-owner1/stockx-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/HtFlOqompge7qmhLY/builds/97gc7DcdSlt2kad9n/openapi.json