Shopify Price Change Monitor

Watch a list of Shopify stores and get alerted when their price range, catalog size, or estimated revenue band shifts since your last check — competitor price-positioning monitoring at the store level, not per-SKU tracking. Runs on our own live Shopify store-intelligence engine under the hood.

What you get

• A named "watch" (a list of store URLs) that remembers each store's last-seen price range, catalog size, and revenue band.
• Every scheduled run reports ONLY what changed — a store newly added to the watch, or an already-tracked store's price range / product count / revenue band shifting.
• Add or drop stores from your watch at any time — a new store gets its own "just started tracking this one" moment, and a dropped store gets an honest (free) notice, never billed.
• Runs on Apify: schedule it, monitor it, call it from the API, export to JSON/CSV/Excel or push straight into your own pipeline.

How to run it

1. Click Try for free — no card needed on the free plan.
2. Paste the store URLs you want watched into Websites, optionally a name for this watch.
3. Hit Start. Schedule it to run again (daily or weekly) to get a stream of only the CHANGES each time.

Pricing

Pay-per-event: $0.005 per run start + $0.01 per new/changed store / first-time tracked. A store DROPPED from your watch list is reported for visibility but never charged — it's your own choice to stop tracking it, not new information about the store. The "no changes" notice on a quiet run and any error/notice row are also never charged. 10 new/changed stores cost about $0.11 (the one-time start fee plus 10 billed rows).

Input

Field	Required	What it does
websites	yes	Store URLs to watch, e.g. "allbirds.com". Up to 100.
baseline_key	no	Name for this watch, so you can run several independent watches.
max_items	no	Max new/changed-store rows delivered (and charged) per run (1-200, default 20).

{
    "websites": ["allbirds.com", "gymshark.com"],
    "baseline_key": "dtc-competitors"
}

Output

New-store row (real output, live run 30.07.2026):

{
    "baselineKey": "selftest-shopify-1",
    "found": true,
    "changeType": "new-store",
    "url": "https://www.allbirds.com/",
    "isShopify": true,
    "priceMin": 3,
    "priceMax": 160,
    "currency": "USD",
    "productCount": 750,
    "revenueBand": "$10M+",
    "error": "",
    "summary": "\"https://www.allbirds.com/\" added to watch \"selftest-shopify-1\" — Shopify store, 750 product(s), price range USD3–160."
}

Changed-store row (real output, live run 30.07.2026 — reflects a real detected shift back to the store's true price range after a synthetic test mutation):

{
    "baselineKey": "selftest-shopify-1",
    "found": true,
    "changeType": "changed-store",
    "url": "https://www.allbirds.com/",
    "isShopify": true,
    "priceMin": 3,
    "priceMax": 160,
    "currency": "USD",
    "productCount": 750,
    "revenueBand": "$10M+",
    "error": "",
    "summary": "\"https://www.allbirds.com/\" changed for watch \"selftest-shopify-1\": priceMax 99999 -> 160."
}

Field	Meaning
baselineKey	Which watch this row belongs to.
found	true for a real result row (new or changed store); false for a notice/error row.
changeType	"new-store", "changed-store", or null for a notice row.
url, isShopify, priceMin, priceMax, currency, productCount, revenueBand	The store's own tracked fields.
error	Empty string when the check completed cleanly (including "nothing changed" and "a store was dropped"); non-empty only on a real problem.
summary	Human-readable one-liner.

Other tools we built

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FAQ / Limitations

Does this track individual product prices? No — this tracks store-level signals (price RANGE across the catalog, product count, a rough revenue band), not per-SKU price history. If you need per-product tracking, this is not that tool.

What happens if I change my websites list? A newly added store gets its own "first time tracked" moment; a removed store gets an honest, free notice and stops being compared going forward.

What this is NOT. The revenue band is a rough heuristic from catalog size and average price, not real sales data — Shopify's public keyless feeds don't expose actual revenue. Treat it as a qualification signal, not a forecast.

Found a bug or need per-SKU tracking? Issues on the Actor's page.