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Shopify Store Analyzer — Revenue, Traffic, Tech Stack & 60+ Apps

👁 Shopify Store Analyzer

The most complete Shopify intelligence tool on Apify — at the lowest price. Point it at any Shopify store and get a single rich report combining estimated revenue, real traffic data, brand age, full tech stack (60+ apps), advertising tracking IDs, a dropshipper-risk score, international-expansion signals, active promo codes and customer segment — from 9 public data sources in one call.

💸 $4 per 1,000 stores — pay only for what you analyze. No subscription, no API keys, no proxies. Compare that to StoreLeads.app ($29/mo), Commerce Inspector ($10/mo) or SimilarWeb Pro.

⭐ Why this Actor wins

👁 This Actor vs others

Most "Shopify analyzers" just dump a product catalog or detect a handful of apps. This one is a true store-intelligence engine, and it ships features no competitor on Apify offers:

• 🎯 Advertising tracking IDs (Google Tag Manager, GA4, Facebook Pixel, TikTok, Klaviyo key, Hotjar…) → map brand networks: two domains sharing one Facebook Pixel = same operator. Unique to this Actor.
• 🕵️ Dropshipper risk score (0–100) with explained signals → instantly tell a real brand from a generic AliExpress dropshipper. Unique to this Actor.
• 📈 Real traffic intelligence (monthly visits, ranks, bounce, sources, top countries, keywords) → revenue you can actually trust, not just a review-count guess.
• 🛠️ 60+ app detectors (vs ~40 elsewhere) + theme, Shopify Plus, CDN store-age signal.
• 🌍 International-expansion score, ⏱️ brand-age estimate (Wayback + SSL), 📢 live promo codes & announcement bar, 🪞 duplicate-description detector.

🚀 What you get for every store ($0.004 / store)

One rich JSON record per store, combining 9 public data sources + 20+ derived intelligence signals.

💰 Revenue & Traffic

• Estimated monthly revenue (visits × conversion rate × AOV) + annualized estimate
• Monthly visits + 3-month trend, global / country / category rank
• Bounce rate, pages per visit, avg time on site
• Top countries, traffic-source mix (search / social / paid / direct / email / referral)
• Top keywords with volume and CPC

📊 Product Intelligence

• Product count, price range (min / max / median), AOV
• Discount aggressiveness (% on sale + avg discount %)
• Product velocity (new in last 7 / 30 / 90 days), oldest product date
• Vendor concentration, product types, inventory health (% variants in stock)
• Avg images per product (premium-brand signal), top 20 tags (niche detection)
• Duplicate-description ratio (generic-catalog signal), likely best-sellers

🛠️ Tech Stack (60+ apps)

Reviews (Judge.me, Yotpo, Loox, Okendo, Junip…), Email/SMS (Klaviyo, Attentive, Postscript, Omnisend…), Subscriptions & Loyalty (ReCharge, Smile.io, LoyaltyLion…), Support (Gorgias, Tidio, Zendesk, Re:amaze…), Page builders (Shogun, GemPages, PageFly, Rebuy), CRO/Analytics (Hotjar, Triple Whale, Northbeam…), Logistics (AfterShip, ShipBob…), Dropshipping (Oberlo, Dsers, AutoDS, CJ Dropshipping, Spocket), Payments (Shop Pay, Klarna, Afterpay, Affirm…), Search (Algolia, Searchanise).

🎯 Tracking IDs — brand-network mapping (unique)

GTM, GA4, Universal Analytics, Facebook Pixel, TikTok Pixel, Pinterest Tag, Snapchat Pixel, Klaviyo public key, Hotjar, Intercom, Microsoft Clarity. Match operators across domains by shared pixel/tag IDs.

📢 Active Promo & Announcement Bar

Free-shipping threshold, active promo codes, banner discount %, clean announcement text.

🏷️ Shopify Meta

myshopify handle, currency, locale, theme name/role, Shopify Plus indicator, OG meta, CDN store ID (sequential — lower = older account).

🌍 International Expansion

All hreflang languages, currency switcher, country selector, expansion score (0–100).

⏱️ Brand Age

Earliest Wayback snapshot + earliest SSL cert → brand age in years and founding year (opt-in).

⭐ Reviews Aggregate

Schema.org aggregate rating + total review count.

🧠 Derived Intelligence

• Customer segment — mass-market / mid-market / premium / luxury (by AOV)
• Marketing channel mix — search / social / paid / brand / email-driven
• Dropshipper risk score (0–100) + bucket + explained signals

🔎 Store Discovery — find stores by keyword (no URL needed)

Don't have a list of URLs? Switch mode to Discover and give search terms like ["organic coffee", "yoga mats"] — the Actor finds real Shopify stores selling those products and returns each with name, URL, myshopify domain and country. Optionally filter by country, or use Discover + analyze to run the full intelligence report on every store it finds.

{"mode":"discover","searchTerms":["organic coffee","matcha"],"discoverCountry":"US","maxStores":50}

Great for lead generation, niche mapping and competitor discovery — each discovered store also comes with public emails, phones and social handles (lead-ready), and you're billed per store returned, the same flat per-store rate as analysis.

🆚 How it compares

🤖 Copy to your AI assistant

Paste this into ChatGPT, Claude, Cursor or any LLM to start using the Actor:

Use the Apify Actor apivault_labs/shopify-store-analyzer.
Call: ApifyClient("YOUR_TOKEN").actor("apivault_labs/shopify-store-analyzer").call(run_input={
"storeUrls":["https://allbirds.com", "https://gymshark.com"],
"conversionRate":2.5
})
then client.dataset(run["defaultDatasetId"]).list_items().items for one
intelligence record per store (revenue, traffic, tech stack, tracking IDs,
dropshipper score, international score, brand age, promos).
Get a token at https://console.apify.com/account/integrations

Also available as an MCP server for AI agents: https://apify.com/apivault_labs/shopify-store-analyzer/api/mcp

📦 Input

{
"storeUrls":["https://allbirds.com","gymshark.com","https://colourpop.com"],
"conversionRate":2.5,
"productSampleSize":250
}

💼 Use Cases

🥇 Dropshipping spy — verify a competitor's revenue before copying a niche, clone their winning app stack, filter dropshipper_risk_bucket: low + revenue > $1M/mo for legit niches, find hot products via likely_best_sellers.

🥈 B2B lead gen for Shopify apps — find stores without your tool (no Klaviyo → pitch email), or with a competitor (Yotpo → pitch Judge.me), filter by revenue tier, grab founder emails + socials.

🥉 Investment due diligence — sanity-check claimed revenue, verify brand age via Wayback + SSL, read marketing efficiency (paid vs brand-driven), spot inventory/ops issues.

Agency prospecting — old theme → pitch redesign; low pages/visit → pitch CRO; low international score → pitch geo-expansion; high dropshipper score → skip.

Market research — track 100+ competitors weekly, benchmark AOV / velocity / tech across a niche, spot rising vs declining brands.

📖 Sample Output (real data, abbreviated)

{
"domain":"gymshark.com",
"myshopify_handle":"gymshark.myshopify.com",
"currency":"GBP",
"tech_stack":["Shop Pay","Klaviyo","Apple Pay"],
"tracking_ids":{"google_tag_manager":"GTM-XXXXXX","facebook_pixel":"1234567890"},
"price_min":8.0,"price_max":120.0,"price_median":34.0,
"avg_order_value":51.0,
"traffic":{"monthly_visits":15000000,"global_rank":4200,"top_countries":[{"country_code":"GB","share":0.41}]},
"revenue_estimate":{"monthly_revenue_usd_est":19125000,"annualized_revenue_usd_est":229500000},
"international_expansion_score":88,
"customer_segment":"mid-market",
"marketing_channel_mix":"brand-driven (47%)",
"dropshipper_risk_score":5,
"dropshipper_risk_bucket":"low"
}

🔧 How It Works

All sources are public and free — no login, no API keys, no proxies:

1. /products.json — public catalog API (every Shopify store)
2. /collections.json — collection metadata
3. /sitemap.xml — real page/product totals
4. Homepage HTML — tech stack, socials, meta, Shopify globals, schema.org
5. Public web-traffic data — visits, ranks, sources, keywords
6. Wayback Machine — first-snapshot date (opt-in)
7. SSL certificate transparency logs — first-cert date (opt-in)
8. hreflang scan — international targeting
9. Schema.org JSON-LD — aggregate rating

Revenue uses the industry-standard formula monthly_visits × conversion_rate × AOV (AOV = median price × 1.5) — the same approach SaaS tools use, typically within ±25% on stores with 100K+ monthly visits.

⚡ Speed & Reliability

• ~9 seconds per store (parallel HTTP, no browser)
• Up to 10 stores in parallel, up to 100 per run
• No proxies, zero antibot risk — only public endpoints

💲 Pricing

• $4 per 1,000 stores analyzed ($0.004 / store). Platform usage included.
• You pay only for stores actually analyzed — non-Shopify or unreachable URLs are reported separately and not charged.
• No subscription, no API key, no minimums. Apify's free trial credits let you test it at no cost.

❓ FAQ

Works on every Shopify store? Any store with /products.json enabled (the default). Hidden catalogs still return tech stack, socials and traffic.

How accurate is revenue? For 100K+ monthly-visit stores, usually within ±25%. Smaller stores are less reliable. Treat as an order-of-magnitude estimate.

What about small stores with no traffic data? The Actor falls back to a review-based sales estimate (from the store's review volume), so you still get a revenue ballpark — and a basis flag tells you whether the estimate came from traffic or reviews.

Is the dropshipper score reliable? It's a heuristic from multiple signals. 50+ almost always = dropshipper, under 25 = legit brand, 25–50 = manual review.

What if there's no traffic data for a store? Traffic/revenue come back null; you still get products, tech stack, tracking IDs, brand age and signals.

🔗 Related Actors

• Shopify Product Scraper — full catalog extraction
• WooCommerce Store Analyzer — same intelligence for WooCommerce
• Domain Intelligence Scraper — WHOIS, DNS, SSL, subdomains

📞 Support

Feature requests or custom fields? Reach out via Apify messaging or open an issue on this Actor's page.