Shopify Sales Tracker — See What Competitors Actually Sell

Product lists tell you what a store offers. Sell-outs tell you what it sells.

What is the Shopify Sales Tracker?

This Actor watches any Shopify store and reports what changed since your last run: products that sold out, variants that dropped stock, prices that were cut, and new products being tested.

Anyone can dump a store's catalogue. The catalogue does not tell you what is working. A variant going out of stock does, and so does a price cut on a product that is not moving.

Why the diff is the signal

Shopify stores expose their catalogue publicly at /products.json. Reading it once gives you a list. Reading it repeatedly and comparing gives you demand.

This Actor keeps a compressed snapshot in a named key-value store in your own account and returns only the delta, typed by what it means: sold-out, stock-drop, price-cut, price-rise, new-product, removed.

The first run is a baseline — it does not charge per result and returns a small sample, because billing you for an entire initial catalogue would be an unpleasant first invoice.

What you can use it for

What you want	How to ask for it
Price monitoring — competitor pricing moves	storeDomains, read price-cut and price-rise
Inventory tracking — what is running out	Read stock-drop and sold-out changes
Product research — what actually sells	Sell-out speed is the demand signal
Dropshipping and sourcing	Spot winners before they are obvious
New product detection	Read new-product changes
Discount cadence — when does this brand promote?	Schedule daily, chart price-cut frequency
Supplier intelligence — when a stockist runs low	Watch their stock levels
Assortment comparison	Several storeDomains at once

Typical jobs: price monitoring, inventory tracking, competitor monitoring for ecommerce, and product research for sourcing.

What data you get

For each change: the change type, product title, variant, the old and new value, price, currency, stock level where exposed, product URL, image, vendor and product type. Plus the timestamp of the run that detected it.

Input

Every field is optional unless marked required.

Field	Type	Description
oneShot	boolean	Return the CURRENT products instead of what changed. Use this for a single lookup or from an AI agent — the monitor needs two runs before it has anything to compare. It never touches your saved history.
storeDomains	array, required	The stores you want to spy on. Just the domain: gymshark.com, mystore.com. The platform is detected automatically — Shopify and WooCommerce both work. This actor watches the stores you choose; it does not discover stores.
proxyConfiguration	object	Required. Shopify blocks datacenter IPs, including Apify's, so runs without a residential proxy return nothing. Pick Apify Proxy with the RESIDENTIAL group.
monitorKey	string	Keep this the same across runs — it is how the actor remembers what it already saw. Use a different name for an independent watchlist.
trackSignals	array	Leave empty to get everything. Sold out, stock drop and new review are the real demand signals — they mean someone bought.
titleKeyword	string	Only watch products whose title contains this. Leave empty to watch the whole catalogue.
minPrice	integer	Ignore products cheaper than this, in the store's own currency.
maxPrice	integer	Ignore products more expensive than this, in the store's own currency.
maxChanges	integer	Safety cap. You are charged per change returned.
resetBaseline	boolean	Forget everything seen before and take a fresh baseline. The baseline run is never charged per result.

Input sample

{
  "storeDomains": [
    "gymshark.com",
    "allbirds.com"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Output sample

One real row from an actual run:

{
  "changeType": "baseline",
  "signals": [],
  "detectedAt": "2026-08-03T02:40:13.457Z",
  "variantsSold": null,
  "previousMinPrice": null,
  "priceChangePct": null,
  "previousAvailableVariants": null,
  "previousReviewCount": null,
  "id": "gymshark.com:6806953033930",
  "platform": "shopify",
  "storeDomain": "gymshark.com",
  "productId": "6806953033930",
  "handle": "gymshark-everyday-seamless-zip-tracktop-jackets-outerwear-grey-aw26",
  "title": "Gymshark Everyday Seamless Zip Tracktop - Onyx Grey",
  "vendor": "Gymshark | Be a visionary.",
  "productType": "Womens Jackets / Outerwear",
  "tags": [
    "06/08/26",
    "30/7/26-everyday-seamless",
    "activity:Conditioning",
    "... 46 more"
  ],
  "minPrice": 42,
  "maxPrice": 42,
  "compareAtPrice": null,
  "totalVariants": 7,
  "availableVariants": 7,
  "lowStockRemaining": null,
  "reviewCount": null,
  "imageUrl": "https://cdn.shopify.com/s/files/1/0156/6146/files/EverydaySeamlessZipTracktopGSOnyxGreyB1B7P_GB7N_4180.jpg?v=1784724702",
  "url": "https://gymshark.com/products/gymshark-everyday-seamless-zip-tracktop-jackets-outerwear-grey-aw26",
  "publishedAt": "2026-07-30T10:50:00-07:00",
  "updatedAt": "2026-08-02T19:39:14-07:00"
}

Who uses this

• Ecommerce operators — see what a competitor is actually selling, not just listing
• Dropshippers and sourcing agents — spot winning products by sell-out speed
• Brand analysts — track pricing strategy and discount cadence over time
• Suppliers — know when a stockist is running low
• Investors — demand signals on DTC brands without asking them

Honest limits

These are real and none of them is fixable by any tool. They are here so you know what you are buying before you run it.

• A residential proxy is required. Shopify blocks datacenter IPs. Measured: the same code read 291 products from a laptop and zero from the cloud until residential proxying was turned on.
• The first run is a baseline and returns only a sample. Real change detection starts on the second run.
• Only Shopify stores. WooCommerce, Magento and custom carts are not covered.
• Stock numbers are only as good as the store exposes. Many stores publish availability but not exact quantities, in which case a sell-out is visible but a stock drop is not.
• A change between two runs is invisible. If a product sells out and is restocked overnight and you run daily, you will not see it. Schedule more often if timing matters.

FAQ

Do I need permission from the store?

No. The /products.json endpoint is public by design — Shopify publishes it so storefronts and apps can read the catalogue. This Actor reads only that public data.

Why did my first run return almost nothing?

It is the baseline. There is nothing to compare against yet, so it records the current catalogue and returns a small sample without charging per result. Changes appear from the second run onwards.

How does it know something sold out rather than being deleted?

A sold-out variant is still in the catalogue with availability false. A removed product is gone from the feed entirely. They are reported as different change types.

How often should I run it?

Daily catches most pricing and stock moves. Hourly makes sense for fast-moving stores or drops. Cost scales with changes found, not with how often you check.

Can I watch several stores at once?

Yes, pass a list of domains. Each store keeps its own snapshot under your monitor key.

Where is my history stored?

In a named key-value store in your own Apify account. It never leaves your account, and separate monitor keys keep separate histories.

Do I need an account or an API key for the source?

No. This Actor only reads public pages and public endpoints, the same ones any logged-out visitor sees. You never give it credentials, and nothing is done on your behalf.

Is it legal to scrape this data?

Scraping publicly available information is broadly accepted as legal, and this Actor only ever touches pages that require no login. That said, what you may do with the data afterwards is a separate question — personal data in particular is regulated by GDPR and CCPA. If you plan to process personal data, take advice first. Apify has a good primer: Is web scraping legal?

How much will a run cost me?

You are charged per result, so the cost scales with what you actually get back. The pricing is shown on this page above the input form. Start with a small run to see real numbers before you scale up.

Can I export to Excel, CSV or Google Sheets?

Yes. Every run's dataset can be downloaded as CSV, Excel, JSON, XML or HTML from the Storage tab, and Apify integrates directly with Google Sheets, Airtable, Zapier, Make and Slack.

Can I run this on a schedule?

Yes. Open the Schedules tab and pick an interval — hourly, daily, weekly. Each run only costs you what it returns.

Can I call it from my own code instead of the console?

Yes. Every Actor on Apify is also an API endpoint. There are official clients for Python and JavaScript, plus a plain REST API. The API tab on this page shows ready-made snippets with your input already filled in.

Something came back empty. Is it broken?

Usually not. An empty result normally means the filters were too narrow, or the source genuinely has nothing to return for that query. This Actor is written to finish successfully and tell you what happened rather than fail — check the run log, it says which step returned nothing.

Related Actors

• Company Signals — competitor changes beyond the storefront
• Company Enrichment — turn a domain into firmographics and contacts

Where the data comes from

The public /products.json endpoint that Shopify stores publish for their own storefronts. Snapshots are kept in your own Apify account.