# Unified Resale Scraper — GOAT vs StockX (`serp.cheap.ofc/unified-resale-scraper`) Actor

Compare sneaker resale prices across GOAT and StockX side by side: search one keyword or style code and get each product's lowest ask on both marketplaces, StockX's highest bid and last sale, which is cheaper, the price spread and the buy-low/sell-high arbitrage. Pay per comparison — no start fee.

- **URL**: https://apify.com/serp.cheap.ofc/unified-resale-scraper.md
- **Developed by:** [serp.cheap](https://apify.com/serp.cheap.ofc) (community)
- **Categories:** E-commerce, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 comparison rows

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

## Unified Resale Scraper — GOAT vs StockX Side by Side

Search one keyword or style code and get every matching sneaker's price on **both GOAT and StockX at once** — lowest ask on each, StockX's highest bid and last sale, **which marketplace is cheaper, the price spread, and the buy-low/sell-high arbitrage**. **Pay per comparison, no start fee, no subscription.**

- ⚖️ **Side-by-side** — GOAT lowest ask vs StockX lowest ask for the same product
- 🏷️ **Cheapest flagged** — `cheapestSource` + `priceSpreadUsd` per row
- 💹 **Arbitrage** — `arbitrageUsd` = StockX highest bid − cheapest ask (buy low, sell to the standing bid)
- 🔗 **Reliable matching** — joins the two catalogs on the manufacturer **style code** (falls back to an exact title match)
- 🔬 **Deep mode** — pull each product's authoritative order book from both sites instead of the fast search-card prices
- 🩺 **Self-test** mode for uptime monitoring

***

### What you get

Each row is one product, with flat comparison columns (clean CSV/Excel) plus the full per-source objects:

| Field | Meaning |
|---|---|
| `styleId`, `brand`, `title`, `releaseDate`, `retailUsd` | product identity |
| `matchedBy` | `style`, `title`, or `null` (found on one site only) |
| `bothSources` | `true` when the product was found on both GOAT and StockX |
| `goatAskUsd`, `goatUrl` | GOAT lowest ask + link |
| `stockxAskUsd`, `stockxBidUsd`, `stockxLastSaleUsd`, `stockxUrl` | StockX lowest ask, highest bid, last sale + link |
| `cheapestSource` | `goat`, `stockx`, `tie`, or `null` |
| `priceSpreadUsd` | absolute gap between the two lowest asks |
| `arbitrageUsd` | StockX highest bid − cheapest ask (can be negative) |
| `goat` / `stockx` | the full normalized object for each source |

***

### Input

| Field | Description |
|---|---|
| `mode` | `compare` (default) or `selftest`. |
| `term` | Keyword (`Jordan 4 Bravo`) or a style code (`FQ8138-600` — the most reliable match). |
| `deep` | Fetch each product's authoritative order book on both sites (slower, priced higher). Default `false`. |
| `onlyMatched` | Emit only products found on **both** sites. Default `false`. |
| `countryCode` / `currencyCode` / `marketName` | Region + currency for prices (default US / USD / US). |
| `maxItems` | Max comparison rows (default 50). |
| `proxyConfiguration` | The full GOAT vs StockX comparison requires a residential proxy. |

#### Example

```json
{ "mode": "compare", "term": "Jordan 4 Toro Bravo", "onlyMatched": true }
```

***

### How it works

- **Matching** — both marketplaces key a sneaker on its manufacturer style code (GOAT `sku`, StockX `styleId`); the actor joins on that code (punctuation-stripped), falling back to an exact normalized-title match so it never invents a false pairing.
- **Proxy** — the full GOAT vs StockX comparison requires a residential proxy.

### Pricing

**$0.004 per comparison row** (fast search-card prices), **$0.009 per deep comparison row** (authoritative order book from both sites), **$0 start fee**. Full breakdown in [PRICING.md](./PRICING.md).

### Output

Results go to the dataset with a ready-made **GOAT vs StockX comparison** table view. Export as JSON, CSV, Excel, or via the Apify API. For each marketplace's full unique data (StockX per-size order book + sales history, GOAT per-condition buy-bar), use the standalone **Cheapest StockX Scraper** and **Cheapest GOAT Scraper**.

### Disclaimer

This actor scrapes publicly available information. Use it in compliance with each marketplace's terms and applicable law, and only for data you're permitted to collect.

# Actor input Schema

## `mode` (type: `string`):

'compare' searches both marketplaces for your term and returns side-by-side price rows. 'selftest' probes both sites for uptime monitoring.

## `term` (type: `string`):

Keyword (e.g. 'Jordan 4 Bravo', 'yeezy slide') or a manufacturer style code (e.g. 'FQ8138-600'). A style code returns the exact product on both sites — the most reliable match.

## `deep` (type: `boolean`):

Fetch each matched product's full detail on both sites for the authoritative lowest ask / highest bid / last sale, instead of the fast search-card prices. Slower and priced higher.

## `onlyMatched` (type: `boolean`):

Emit only products found on BOTH GOAT and StockX (drop single-marketplace rows).

## `countryCode` (type: `string`):

Two-letter country for region-specific prices (default US).

## `currencyCode` (type: `string`):

Currency for StockX prices (default USD).

## `marketName` (type: `string`):

Two-letter market for StockX's order book (default US).

## `maxItems` (type: `integer`):

Maximum comparison rows to return in this run.

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

The full GOAT vs StockX comparison requires a residential proxy.

## `debug` (type: `boolean`):

Verbose per-request logging.

## Actor input object example

```json
{
  "mode": "compare",
  "term": "Jordan 4 Toro Bravo",
  "deep": false,
  "onlyMatched": false,
  "countryCode": "US",
  "currencyCode": "USD",
  "marketName": "US",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "debug": false
}
```

# Actor output Schema

## `comparison` (type: `string`):

No description

# 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 = {
    "term": "Jordan 4 Toro Bravo"
};

// Run the Actor and wait for it to finish
const run = await client.actor("serp.cheap.ofc/unified-resale-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 = { "term": "Jordan 4 Toro Bravo" }

# Run the Actor and wait for it to finish
run = client.actor("serp.cheap.ofc/unified-resale-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 '{
  "term": "Jordan 4 Toro Bravo"
}' |
apify call serp.cheap.ofc/unified-resale-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=serp.cheap.ofc/unified-resale-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/VqxrfBp6bzhBKAh6F/builds/Y5V8QUtVMIOaVWFVH/openapi.json