Shopify Store Analyzer — Tech Stack, Apps & Product Intelligence

One call → a full store-intelligence report. Point it at any Shopify store and get catalog stats, price bands, best sellers, 35+ detected apps, ad-tracking pixel IDs, a dropshipper-risk score, store health, upsell gaps, and run-over-run change tracking — as clean JSON.

AI agent quick start

Availability, status and monitoring

• Read SUMMARY.status in the run's key-value store: OK, PARTIAL_RESULTS, or NO_RESULTS. ERRORS lists per-store failures.
• data_quality on each record is full or partial (store reachable but catalog endpoint empty).
• With trackChanges: true, the first run writes a baseline; later runs return a changes diff (product count, median price, apps added/removed).
• Unreachable or non-Shopify URLs go to ERRORS, not charged dataset rows.

Use the Actor as the MCP tool thirdwatch/shopify-store-analyzer:

https://mcp.apify.com?tools=thirdwatch/shopify-store-analyzer

Always send mode explicitly. Start with one store, inspect the dataset and SUMMARY, then expand.

Goal	mode	Required input
Full intelligence for known stores	analyze	storeUrls
Classify storefront platforms quickly	quick_check	storeUrls

Minimal request:

{
  "mode": "analyze",
  "storeUrls": ["https://allbirds.com"],
  "outputPreset": "compact"
}

Agent notes:

• outputPreset: "compact" for general answers, "leads" for outreach lists, "full" for the complete record.
• Nested objects are the default. Use flatOutput: true only for flat-column destinations like Sheets.
• Signals are derived from public storefront data — catalog JSON and page markup — not internal Shopify data.

Pay per store report, no subscription. Compare that to StoreLeads ($29/mo) or Commerce Inspector ($10/mo).

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Sample output (abbreviated)

{
  "domain": "gymshark.com",
  "is_shopify": true,
  "theme": "Impulse",
  "shopify_plus": false,
  "tech_stack": ["Klaviyo", "Judge.me", "ReCharge", "Hotjar"],
  "tracking_ids": {"google_tag_manager": "GTM-AB1234", "facebook_pixel": "1234567890"},
  "product_count": 412,
  "price_median": 34.0,
  "pct_on_sale": 18.2,
  "price_distribution": {"under_25": 90, "25_50": 210, "50_100": 90, "100_250": 22},
  "new_products_30d": 14,
  "best_sellers": [{"title": "…", "price": 38.0, "url": "https://…"}],
  "dropshipper_risk_bucket": "low",
  "store_health_score": 90,
  "upsell_gaps": ["missing loyalty program", "missing subscriptions"]
}

What you get per store

• Catalog intelligence — product count, price min/median/max, price distribution bands, % on sale, new-product velocity (7/30/90 days), vendor and product-type concentration, top tags, avg images per product, top best sellers with URLs.
• Tech stack — 35+ app detectors across reviews, email/SMS, subscriptions, loyalty, support, page builders, analytics, logistics, dropshipping, payments, search, CRO.
• Tracking IDs — GTM, GA4, Universal Analytics, Facebook Pixel, TikTok Pixel, Pinterest Tag, Snapchat Pixel, Klaviyo public key, Hotjar, Microsoft Clarity. Match operators across domains via shared pixel IDs.
• Dropshipper risk score (0–100) with named signals — dropship apps, catalog/vender diversity, perpetual-discount ratio, thin imagery, AliExpress references.
• Store health score (0–100) — composite of catalog depth, reviews/email presence, tracking maturity, and recent product activity.
• Upsell gaps — which app categories a store is missing; a ready pitch list for app vendors and agencies.
• Change tracking — trackChanges: true snapshots each store; later runs return changes with product-count and median-price deltas plus apps added/removed.

Input

Field	Type	Default	Description
mode	string	analyze	analyze or quick_check
storeUrls	string[]	—	Domains or URLs (max 200)
outputPreset	string	full	compact, leads, full
flatOutput	bool	false	Flatten nested fields
trackChanges	bool	false	Snapshot + diff across runs
bestSellerCount	int	10	Top products per store
maxProductPages	int	8	Catalog pages read (250/page, max 20)

Notes on coverage

• Works on any public Shopify storefront; no login or API key.
• Traffic and revenue figures are intentionally not estimated — the report ships the measurable signals (catalog depth, velocity, stack, ads) instead of unverifiable numbers.
• Non-Shopify or unreachable stores are listed in ERRORS and are not charged.