StockX Listings Scraper

Disclaimer: Unofficial tool — not affiliated with, sponsored by, or endorsed by StockX. Data is read from publicly accessible search pages only. No login. You are responsible for complying with applicable law and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

StockX Listings Scraper is a StockX scraper and StockX API alternative for public catalog cards. A keyword or a product URL returns lowest ask, highest bid, last sale, and 90-day sales. Export JSON from Python, Node.js, or an MCP assistant. Schedule a monitor to keep only new products.

Best for: resellers who already price comps on eBay or Poshmark and want the same ask/bid snapshot from StockX.

StockX Listings	eBay sold	Poshmark sold	Depop
StockX Listings Scraper ◄── you are here	eBay Sold Listings Scraper	Poshmark Sold Listings Scraper	Depop Monitor

When to use this Actor

• Ask / bid check — keyword search with lowest ask, highest bid, and last sale
• One product — a product URL or slug matched to that same market card
• New catalog alerts — monitor mode saves only url keys that were not in the last run
• Python / Node.js / MCP pipelines — structured dataset, JSON or CSV export

When not to use this Actor

• Sold comps off this marketplace — use eBay Sold Listings Scraper or Poshmark Sold Listings Scraper
• New fashion listings — use Depop Monitor or Vinted Monitor
• Your own seller orders or listings — this Actor does not log in
• Private account data — not collected

Key features

• Keyword search — about 40 products per page, up to 200 per keyword
• Product URL — matched to the search card for that slug: ask, bid, and last sale
• Market fields on search — lowest ask, highest bid, last sale, 72-hour and 90-day sales
• Monitor mode — named Key-Value store of seen url keys; the first run seeds silently
• Market country — residential proxy country selects the price market

Input parameters

Parameter	Type	Default	Description
searchTerms	Array	nike dunk	Keywords. Paged until Max items
startUrls	Array	—	Search URLs. One page each
productUrls	Array	—	Product URLs or slugs
country	String	US	Residential proxy country. Prices follow that market
maxItems	Integer	40	Search cards per keyword (1–200)
monitorMode	Boolean	false	Save only new url keys after the first seed
emitExisting	Boolean	false	Also save cached products on a monitor run
monitorStoreName	String	—	Named store for the seen-product cache
proxyConfiguration	Object	Residential	Direct requests are blocked

{
    "searchTerms": ["nike dunk"],
    "country": "US",
    "maxItems": 40,
    "monitorMode": false,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US"
    }
}

Output

Field	Description
title / url / urlKey	Product name, page URL, and slug
brand / model / category	Catalog labels
lowestAsk / highestBid / lastSale	Market prices on a search card
salesLast72Hours / salesLast90Days	Recent sales counts
averagePrice90Days / annualSales	90-day average and yearly sales count
styleId / colorway / sizes	Filled only when the catalog card includes them
currency / country	Market of the proxy country
recordType	search or product
scrapedAt	UTC parse time

{
    "productId": "prod-1",
    "urlKey": "nike-dunk-low-retro-white-black",
    "title": "Nike Dunk Low Retro White Black",
    "url": "https://stockx.com/nike-dunk-low-retro-white-black",
    "brand": "Nike",
    "lowestAsk": 110,
    "highestBid": 95,
    "lastSale": 108,
    "currency": "USD",
    "country": "US",
    "salesLast90Days": 2400,
    "recordType": "search",
    "scrapedAt": "2026-09-23T12:00:00Z"
}

Use cases

• Snapshot lowest ask and last sale for a sneaker keyword before buying inventory
• Pass one product URL and keep ask, bid, and last sale for that slug
• Schedule a monitor and append only new url keys
• Compare a StockX ask with sold prices from eBay Sold Listings Scraper

Integration examples

Node.js

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("crawloop/stockx-listings-scraper").call({
    searchTerms: ["nike dunk"],
    country: "US",
    maxItems: 40,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient(token="YOUR_TOKEN")
run = client.actor("crawloop/stockx-listings-scraper").call(run_input={
    "searchTerms": ["nike dunk"],
    "country": "US",
    "maxItems": 40,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["lowestAsk"], item["lastSale"])

cURL

curl -X POST "https://api.apify.com/v2/acts/crawloop~stockx-listings-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms":["nike dunk"],"country":"US","maxItems":40}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call this Actor by its Store name.

Example prompts:

• "Run StockX Listings Scraper for nike dunk in the US and return the top 20 rows as JSON"
• "Open the Dunk Low White Black product URL and return lowest ask, highest bid, and last sale"
• "Chain StockX Listings Scraper then eBay Sold Listings Scraper for the same sneaker and compare ask versus sold price"

Suite next step

After you have an ask and a last sale, run eBay Sold Listings Scraper on the same model for completed-sale comps. For fashion listings outside this catalog, use Poshmark Sold Listings Scraper or Depop Monitor. For Japan sold prices, use Mercari Japan Scraper.

FAQ

Does this replace the official seller API?

It reads public search pages. A product URL is matched to the search card for that slug. It does not create listings, pull your orders, or use a seller login. Direct product pages stay behind Cloudflare, so per-size asks are not included.

Why is a proxy required?

Search pages do not return catalog JSON to a plain HTTP client. The run uses a residential proxy in the country you select, and prices follow that market.

What does monitor mode save?

The first run stores url keys and writes no dataset rows. Later runs save products whose url key was not in that cache. Product URLs are always saved.

How many products come back per page?

Search pages carry about 40 products. maxItems stops the keyword at 200.