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StockX Portfolio Spread-Movers Index

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StockX Portfolio Spread-Movers Index

StockX Portfolio Spread-Movers Index

Compute per-size bid/ask spread and rank the widest StockX arbitrage gaps across a list of products.

Pricing

from $3.33 / 1,000 results

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Developer

Farhan Febrian Nauval

Farhan Febrian Nauval

Maintained by Community

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2

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1

Monthly active users

3 days ago

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Turn a list of StockX products into a ranked arbitrage-scan report: the live bid/ask spread for every size, and which sizes have the widest gap between what buyers will pay and what sellers are asking right now.

Why use this actor

  • No account required — reads public StockX market data; no login or API key needed.
  • Spread computed for every size — lowestAsk - highestBid and that gap as a percentage, calculated for you on every size of every product.
  • Automatic ranking — one summary record lists the widest spreads across your whole list, sorted from biggest gap to smallest, so you don't have to sort a spreadsheet yourself.
  • Optional trend mode — turn on useHistory and the actor remembers each size's spread between runs, so the ranking can show which spreads widened or narrowed the most since your last run, not just which are widest today.
  • Stable JSON output — one row per size plus one ranking summary row, ready for a spreadsheet or database with no clean-up.
  • Localized pricing — configure ship-to country and display currency per run.

How it works

  1. You give the actor a list of StockX product URLs (or slugs).
  2. For each product, it fetches the current market data for every size.
  3. For every size that has both a live ask and a live bid, it calculates the spread (lowestAsk - highestBid) and the spread as a percentage of the asking price.
  4. All sizes across all products are combined into one ranked list, from widest spread to narrowest.
  5. If useHistory is on, each size's spread is compared to the last time you ran the actor, and the ranking shows the biggest movers instead of just the biggest gaps.
  6. Results land in Apify's dataset, exportable as JSON, CSV, or Excel.

You don't need to manage any browsers, scrapers, or your own database to track spreads over time — the actor remembers for you when useHistory is on.

Input

{
"productUrls": [
{ "url": "https://stockx.com/air-jordan-1-retro-low-og-banned" },
{ "url": "https://stockx.com/adidas-yeezy-boost-350-v2-zebra-kids" }
],
"skus": [],
"useHistory": false,
"maxItems": 50,
"country": "US",
"currency": "USD",
"maxConcurrency": 2,
"maxRequestRetries": 6,
"proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
FieldTypeDefaultDescription
productUrlsURL[]—StockX product URLs (https://stockx.com/<slug>). Use this OR skus.
skusstring[][]StockX slugs (the part after stockx.com/), e.g. "air-jordan-1-retro-low-og-banned". Only used if productUrls is empty.
useHistorybooleanfalseWhen ON, remembers each size's spread between runs and ranks by the biggest change since last time. First run (or any size seen for the first time) has no prior data yet, so those rows simply won't have a change value — never a made-up one. When OFF, ranks by the widest spread right now.
maxItemsinteger50How many rows to include in the final ranked list (across all products/sizes combined).
countrystring"US"Two-letter ISO country code for pricing locale.
currencystring"USD"ISO currency code (e.g. USD, EUR, GBP).
maxConcurrencyinteger2Number of parallel workers.
maxRequestRetriesinteger6Retry budget per request before skipping.
proxyConfigurationobjectRESIDENTIALApify Proxy or custom proxy list. RESIDENTIAL group recommended.

Output

One row per size (recordType: "SIZE_SPREAD") — real output from a live run:

{
"recordType": "SIZE_SPREAD",
"sourceUrl": "https://stockx.com/air-jordan-1-retro-low-og-banned",
"scrapedAt": "2026-08-06T09:51:27.041377Z",
"productId": "6a224a43-164d-4f6f-b854-0466f8e79c60",
"urlKey": "air-jordan-1-retro-low-og-banned",
"title": "Jordan 1 Retro Low OG Banned",
"variantId": "019b0523-93b3-7271-bf18-01d6503fe8f0",
"variantIndex": 1,
"size": null,
"lowestAsk": 133,
"highestBid": 27,
"spread": 106,
"spreadPercent": 79.7,
"numberOfAsks": 3,
"numberOfBids": 2,
"historyStatus": "no_prior_snapshot"
}

With useHistory: true, a size that was also seen in a previous run additionally carries the prior numbers and the change — this is real output from a second run of the same product:

{
"recordType": "SIZE_SPREAD",
"urlKey": "air-jordan-1-retro-low-og-banned",
"variantId": "019b0523-93b3-7271-bf18-01d6503fe8f0",
"lowestAsk": 133,
"highestBid": 27,
"spread": 106,
"spreadPercent": 79.7,
"prevSpread": 106,
"prevSpreadPercent": 79.7,
"prevScrapedAt": "2026-08-06T09:52:56.776593Z",
"spreadChange": 0,
"spreadPercentChange": 0.0,
"historyStatus": "compared_to_prior_run"
}

One ranking summary row (recordType: "MOVERS_RANKING") at the end of each run — real output, maxItems: 15 across 3 products / 60 sizes:

{
"recordType": "MOVERS_RANKING",
"scrapedAt": "2026-08-06T09:51:27.787090Z",
"rankedBy": "spread",
"useHistory": false,
"totalCandidates": 60,
"returned": 15,
"movers": [
{
"rank": 1,
"urlKey": "air-jordan-1-retro-low-og-sp-travis-scott-sail-tropical-pink",
"title": "Jordan 1 Retro Low OG SP Travis Scott Sail Tropical Pink",
"variantId": "019cfdb6-e638-730d-b804-2e04fd6dd7f6",
"lowestAsk": 1600,
"highestBid": 451,
"spread": 1149,
"spreadPercent": 71.81,
"spreadChange": null,
"spreadPercentChange": null,
"historyStatus": "no_prior_snapshot"
},
{
"rank": 2,
"urlKey": "air-jordan-1-retro-low-og-sp-travis-scott-sail-tropical-pink",
"spread": 266,
"spreadPercent": 40.61
},
"... 13 more"
]
}
FieldTypeDescription
recordTypestring"SIZE_SPREAD" for a per-size row, "MOVERS_RANKING" for the summary row, "ERROR" if a product could not be read.
urlKeystringStockX slug for the product.
titlestringProduct display title.
variantIdstringStockX's internal ID for this size.
sizestring | nullHuman-readable size label, when StockX includes it on the size record (often absent — identify sizes by variantId when it's null).
lowestAsknumberCurrent lowest ask for this size.
highestBidnumberCurrent highest bid for this size.
spreadnumberlowestAsk - highestBid — the bid/ask gap, in the run's currency.
spreadPercentnumberThe spread as a percentage of the lowest ask.
numberOfAsks / numberOfBidsintegerHow many asks / bids stand on the book for this size.
prevSpread / prevSpreadPercent / prevScrapedAtnumber / number / stringThis size's spread the last time it was seen (only present when useHistory is on AND a prior run recorded this size).
spreadChange / spreadPercentChangenumberChange vs. the prior run (only present with useHistory and a prior snapshot).
historyStatusstring"no_prior_snapshot" or "compared_to_prior_run" — tells you honestly whether the change fields are real or simply not yet available.
rankedBystring"spread" (widest current gap) or "spreadChange" (biggest mover since last run — only once history exists).
moversarrayThe ranked list, widest/biggest-mover first, capped at maxItems.

A note on "movers"

Every StockX product page shows the current spread, but not how it changed. This actor is the only way in this suite to see that change over time: turn useHistory on, run it on a schedule (e.g. once a day in the Apify Console), and each run's ranking shows which sizes had the biggest swing since the last run — a genuine day-over-day mover signal, not a single-snapshot guess. Without useHistory, you still get a fully real, useful ranking of the widest gaps today — just not a trend.

Other StockX Scrapers

ActorWhat it does
StockX Search ScraperSearch keywords or categories; get every result tile with live market data.
StockX Product ScraperFull product detail — market snapshot, traits, stats — from a list of product URLs.
StockX Orderbook ScraperLive per-size bid/ask orderbook with spread and 72-hour velocity for any product.
StockX Sales History ScraperMulti-bucket sales statistics (annual, 90-day, 72-hour) plus per-size breakdowns.
StockX Release Calendar ScraperUpcoming and recent drops with release dates and pre-release bid/ask signals.
StockX Portfolio Spread-Movers IndexPer-size spread and ranked spread-movers across a list of products — this actor.