StockX Market Price & Sales History Finder
Get StockX lowest ask, highest bid, last sale, and recent sales history for sneakers, streetwear, watches, and collectibles, by search, brand, category, or product slug.
Open in Apify Store$0.99 / 1K on Free
Short answer
StockX Market Price & Sales History Finder is an Apify Store Actor for StockX data that returns 9 published output fields, including title, brand, lastSale, category. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 21 input settings; one is required (mode). It covers 3 of the 7 core StockX fields this site tracks. Last updated Oct 31, 2026.
From the public Store listing and published build schema, synced 2026-11-12.What it returns
9 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.
titlebrandcategorylowestAskhighestBidlastSalesalesLast72HourscurrencyproductUrl
Not in the schema among the core StockX fields: lowest, highest, last, product. The field matrix shows which other tools return them.
Input
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | search | What to collect from StockX. |
| searchQueries | array | No | ["jordan"] | One or more keywords for mode=search, e.g. 'jordan 4 retro', 'yeezy 350', 'rolex submariner'. |
| brand | string | No | – | Brand alias for mode=byBrand, e.g. 'jordan', 'nike', 'new-balance', 'casio'. When set in other modes it narrows the results to that brand. |
| category | string | No | – | StockX category for mode=byCategory. When set in other modes it narrows the results to that category. |
| gender | string | No | – | Optional audience filter for search and browse modes. |
| color | string | No | – | Optional color filter for search and browse modes. |
| sortBy | string | No | featured | Order of search and browse results. |
| productSlugs | array | No | [] | Products for mode=byProduct or mode=salesHistory. Paste a StockX product URL or the slug after stockx.com/, e.g. 'air-jordan-4-retro-white-cement-2025'. |
| startUrls | array | No | [] | Search, category, brand, browse, or product URLs for mode=byUrl. Paste one URL per line. |
| currency | string | No | USD | Currency for all prices. |
Show the other 11 settings
| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| country | string | No | US | Market that determines the order book and localized prices. |
| minPrice | integer | No | – | Drop products whose lowest ask is below this value. Applies to fetched rows in the selected currency. |
| maxPrice | integer | No | – | Drop products whose lowest ask is above this value. Applies to fetched rows in the selected currency. |
| minSalesLast72Hours | integer | No | – | Keep products that sold at least this many units in the last 72 hours. Products without a count are kept. |
| includeProductDetails | boolean | No | true | When browsing or searching, fetch each product's full record: style ID, colorway, retail price, release date, traits, gallery, and market statistics. Off gives a fast, compact listing row. |
| includeVariants | boolean | No | true | Add the per-size order book (asks, bids, spread, last sale, GTINs) to full product records. |
| includeSalesHistory | boolean | No | false | Add recent individual sales to each product record. Use mode=salesHistory to emit sales as separate rows. |
| salesLimit | integer | No | 50 | Maximum individual sales to collect per product (1-500). |
| salesCondition | string | No | all | Condition filter for sales history. If StockX does not serve filtered sales for a product, all conditions are returned and the run says so. |
| maxItems | integer | No | 25 | Hard cap on emitted records. StockX itself caps each query at 1,000 results. |
| maxPages | integer | No | 5 | Maximum listing pages per query. Each page holds up to 40 products; StockX stops at 25 pages. |
Example input
Built from the input form's published example values and defaults.
{
"mode": "search",
"searchQueries": [
"jordan"
],
"sortBy": "featured",
"productSlugs": [],
"startUrls": [],
"currency": "USD",
"country": "US",
"includeProductDetails": false,
"includeVariants": false,
"includeSalesHistory": false,
"salesLimit": 50,
"salesCondition": "all",
"maxItems": 1,
"maxPages": 1
} Run it from code or an AI agent
The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.
Python
from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
"mode": "search",
"searchQueries": [
"jordan"
],
"sortBy": "featured",
"productSlugs": [],
"startUrls": [],
"currency": "USD",
"country": "US",
"includeProductDetails": False,
"includeVariants": False,
"includeSalesHistory": False,
"salesLimit": 50,
"salesCondition": "all",
"maxItems": 1,
"maxPages": 1
}
run = client.actor("xyrelith-data/stockx-market-price-and-sales-history-finder").call(run_input=run_input)
if run is None:
raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item) pip install apify-client
JavaScript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
"mode": "search",
"searchQueries": [
"jordan"
],
"sortBy": "featured",
"productSlugs": [],
"startUrls": [],
"currency": "USD",
"country": "US",
"includeProductDetails": false,
"includeVariants": false,
"includeSalesHistory": false,
"salesLimit": 50,
"salesCondition": "all",
"maxItems": 1,
"maxPages": 1
};
const run = await client.actor("xyrelith-data/stockx-market-price-and-sales-history-finder").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items); npm install apify-client
cURL
curl -X POST "https://api.apify.com/v2/actors/xyrelith-data~stockx-market-price-and-sales-history-finder/run-sync-get-dataset-items" -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" -d '{"mode":"search","searchQueries":["jordan"],"sortBy":"featured","productSlugs":[],"startUrls":[],"currency":"USD","country":"US","includeProductDetails":false,"includeVariants":false,"includeSalesHistory":false,"salesLimit":50,"salesCondition":"all","maxItems":1,"maxPages":1}' Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).
MCP (AI agents)
{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=xyrelith-data/stockx-market-price-and-sales-history-finder",
"headers": {
"Authorization": "Bearer <YOUR_APIFY_TOKEN>"
}
}
}
} Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.
What a run costs
The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.
| Apify plan | Per 1,000 | 10,000 results | 100,000 results |
|---|---|---|---|
| Free plan | $0.99 | $9.90 | $99 |
| Starter plan | $0.82 | $8.20 | $82 |
| Scale plan | $0.66 | $6.60 | $66 |
| Business plan | $0.49 | $4.90 | $49 |
- Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
- The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
- Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
- Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.
Where it fits among StockX routes
It ranks 1 of 1 catalogue Actors for StockX on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.
- 1 StockX Market Price & Sales History Finder 9 output fields, pay per event 3 of 7 core fields
$0.99 / 1K - + 8 other Store tools, combined Reference only 4 of 7 core fields
from $0.75 / 1K - API StockX API Limited access fields not compared
Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.
Official route: StockX API
Limited access. The StockX API covers catalog search, listings (asks) and order management for selling on StockX. Developers sign in, submit a developer sign-up form and wait for approval, which may take 5-7 business days.
No public self-serve price is published.
Other Store tools for StockX
Reference only, from their public listings.
| Tool | Fields | Price / 1K |
|---|---|---|
| StockX Listings Scraper | 13 | $2.00 |
| StockX Scraper | 17 | $2.00 |
| StockX Data Scraper | 15 | $2.00 |
| StockX Scraper | 50 | $3.99 |
| Cheapest StockX Scraper | 9 | $0.75 |
What people use it for
- compare resale prices
- review sales history
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Questions people ask
How much does StockX Market Price & Sales History Finder cost?
The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.
What data does StockX Market Price & Sales History Finder return?
Its published output schema lists 9 fields: title, brand, category, lowestAsk, highestBid, lastSale, salesLast72Hours, currency, productUrl. A listed field is not guaranteed to be filled in every row.
What input does StockX Market Price & Sales History Finder need?
Required: mode. Optional settings include searchQueries, brand, category, gender, color, sortBy.
How do I run StockX Market Price & Sales History Finder from Python or the API?
Use the Apify API client: in Python, ApifyClient(token).actor("xyrelith-data/stockx-market-price-and-sales-history-finder").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("xyrelith-data/stockx-market-price-and-sales-history-finder").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/xyrelith-data~stockx-market-price-and-sales-history-finder/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.
Sources
- StockX Market Price & Sales History Finder on Apify Store
- Published build with input and output schema (JSON)
- StockX API documentation
Cite this page
Scraper Finder. "StockX Market Price & Sales History Finder." https://scraperfinder.com/catalogue/stockx-market-price-and-sales-history-finder/ (data checked 2026-11-12).
Run StockX Market Price & Sales History Finder
$0.99 per 1,000 results. Paste the example input above, set your StockX query, then export the dataset. Still choosing? Compare every StockX route.