Shopify Competitor Monitor: Products, Prices & Stock Changes

Track Shopify competitors daily. Detect product launches, removals, price and sale changes, availability moves, technology changes, and catalog trends across scheduled runs. 📊

It is fully self-contained: it does not call another Apify Actor, require a Shopify API key, or depend on an external data provider.

What it does 🔎

For each Shopify store, the Actor reads the public /products.json storefront endpoint, normalizes products and variants, then saves a catalog baseline in a named Apify key-value store. On the next run it compares the newest snapshot to that baseline.

Each dataset item includes flat, filterable columns and complete nested evidence. Use the overview, changes, catalog, technology, and allData dataset views.

• 🏪 Store identity and source metadata
• 🧾 Product, variant, price, discount, and availability summary
• ✨ New and removed products
• 💸 Price, sale-state, and availability changes
• 📦 Discount and stock-pressure signals
• 🧩 Public Shopify theme, marketing app, support, subscription, review, and tracking detection
• 🔁 Theme, app, and tracking changes between snapshots
• 📈 Catalog trend points and daily velocity estimates
• 🎯 A 0-100 change-intensity score and recommended actions

The run also saves REPORT.html, REPORT_SUMMARY.json, OUTPUT.json, OUTPUT.csv, and ERRORS.json to the key-value store. Failed stores are not written to the paid dataset. Standard Apify dataset exports support JSON, CSV, Excel, and API workflows.

Input ⚙️

{
  "stores": ["https://www.allbirds.com"],
  "maxProductsPerStore": 250,
  "compareWithPrevious": true,
  "saveSnapshot": true,
  "historyDays": 90,
  "includeTechStack": true,
  "includeHtmlReport": true
}

Use full store homepages or domains. A first run creates the baseline; schedule the Actor daily to observe product, pricing, stock, theme, app, and tracking deltas.

Output example 📊

{
  "storeName": "Example Store",
  "status": "ok",
  "catalog": {
    "productCount": 143,
    "discountedProductCount": 32,
    "availableProductCount": 121,
    "medianPrice": 49
  },
  "delta": {
    "newProductCount": 4,
    "priceChangeCount": 7,
    "availabilityChangeCount": 9
  },
  "analysis": {
    "changeIntensity": 77,
    "confidence": "high"
  },
  "technology": {
    "theme": { "name": "Dawn" },
    "detectedApps": [{ "name": "Klaviyo", "category": "Email and SMS" }]
  }
}

Running locally 💻

npm install
apify run -p examples/input.json

Or set INPUT.json in the local Apify storage and run npm start.

Running on Apify ☁️

1. Open the Actor in Apify Console.
2. Add one or more Shopify store URLs.
3. Keep saveSnapshot enabled.
4. Run it once for a baseline, then create a daily schedule.
5. Download the dataset or use REPORT.html for a client-ready overview.

Store positioning 🚀

Title: Shopify Competitor Monitor: Products, Prices & Stock Changes

Short description: 📊 Track Shopify competitors daily. Detect new products, price cuts, discounts, sold-out variants, apps, theme changes, and catalog moves in one actionable report per store.

SEO tags: Shopify competitor monitor, Shopify price tracker, Shopify product launch tracker, Shopify stock monitor, Shopify app detector, Shopify theme detector, e-commerce intelligence, DTC research.

Pricing 💵

The Store price is $0.002 per run plus $0.02 per successful store snapshot. Failed stores are written to ERRORS.json and are not charged as results. This keeps small daily monitors affordable while covering catalog extraction, history, technology analysis, and reporting.

Limitations

• It can only monitor stores that expose Shopify's public storefront product endpoint.
• maxProductsPerStore is a hard limit; when the catalog exceeds it, the output is explicitly marked as partial.
• Product availability is public storefront availability, not unit inventory or sales volume.
• Respect each website's terms and applicable law when using collected data.