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

The most comprehensive Shopify intelligence tool on Apify. Spy on any Shopify store and extract revenue estimates, traffic data, brand age, tech stack (60+ apps), tracking IDs, founder signals, dropshipper risk score, international expansion, customer segment, active promo codes — all in one API call.

Direct alternative to StoreLeads.app ($29/mo), Commerce Inspector ($10/mo), and SimilarWeb Pro — but pay-per-use at $10 per 1000 stores instead of monthly subscriptions.

🚀 What you get for $0.01 per store

For every Shopify store analyzed, you get a single rich JSON record combining 9 public data sources + 20+ derived intelligence signals.

💰 Revenue & Traffic Intelligence

• Estimated monthly revenue (visits × conversion rate × AOV — industry-standard formula)
• Annualized revenue estimate
• Monthly visits + 3-month trend (via SimilarWeb public API)
• Global rank, country rank, category rank
• Bounce rate, page per visit, avg time on site
• Top 5 countries by traffic share
• Traffic sources breakdown (search / social / paid / direct / email / referrals)
• Top 10 keywords with search volume and CPC

📊 Product Intelligence

• Total product count + sample size
• Price range (min, max, median)
• AOV (average order value) — critical for revenue formula
• Discount aggressiveness — % of products on sale + average discount %
• Product velocity — new products added in last 7 / 30 / 90 days
• Oldest product date — when the store first started selling
• Vendor concentration — vendors count + top 5 vendors
• Product types count
• Inventory health — total variants + % in stock
• Avg images per product — premium brand signal (10+ photos = luxury)
• Top 20 product tags — niche detection (vegan, eco, men, women, gift-for-her) at a glance
• Duplicate description ratio — generic AliExpress catalog signal (high % = dropshipper)
• Likely best-sellers — top 5 products by image count (hero SKUs)

🌐 Sitemap (real totals, not sample)

• Total products in sitemap
• Total pages, collections, blog posts
• More accurate than sampling — finds hidden inventory

🛠️ Tech Stack Detection (60+ apps)

Detects every major Shopify app on the homepage:

• Reviews: Judge.me, Yotpo, Loox, Stamped, Okendo, Junip, Reviews.io
• Email/SMS: Klaviyo, Attentive, Postscript, Mailchimp, Omnisend, SMSBump, Sendlane
• Subscriptions/Loyalty: ReCharge, Bold Commerce, Smile.io, LoyaltyLion, Yotpo Loyalty, Growave
• Customer support: Gorgias, Tidio, Intercom, Drift, Zendesk, Re:amaze
• Page builders: Shogun, GemPages, PageFly, Rebuy
• CRO/Analytics: Hotjar, Lucky Orange, Crazy Egg, Mouseflow, Triple Whale, Northbeam
• Logistics: AfterShip, Refersion, ShipStation, ShipBob
• Dropshipping apps: Oberlo, Dsers, AutoDS, CJ Dropshipping, Spocket, Printful
• Pixels: Facebook, TikTok, Pinterest, Snapchat, Google, Microsoft Clarity
• Payments: Shop Pay, Apple Pay, Afterpay, Klarna, Sezzle, Affirm, PayPal, Google Pay
• Search: Algolia, Searchanise

🎯 Tracking IDs (new!) — brand-network mapping

Extracts public advertising / analytics identifiers from homepage HTML:

• Google Tag Manager (GTM-XXXXXX)
• GA4 Measurement ID (G-XXXXXXXX)
• Universal Analytics (UA-XXXX-X)
• Facebook Pixel ID
• TikTok Pixel ID
• Pinterest Tag ID
• Snapchat Pixel ID
• Klaviyo public key
• Hotjar Site ID
• Intercom App ID
• Microsoft Clarity ID

Use case: detect parallel brand networks. Multiple domains sharing the same Facebook Pixel = same operator. Unique to this actor — not offered by StoreLeads or Commerce Inspector.

📢 Active Promo & Announcement Bar (new!)

Pulls current marketing copy from announcement bars:

• free_shipping_threshold_usd — order minimum for free shipping
• active_promo_codes — currently advertised discount codes
• announcement_discount_pct — % off shown on the banner
• announcement_bar_text — clean excerpt of the promo line

📱 Social Links & Contact

• Instagram, Facebook, Twitter/X, TikTok, YouTube, Pinterest, LinkedIn handles
• Public emails (cleaned, no CDN noise)
• Public phone numbers (via tel: links)

🏷️ Shopify Meta

• myshopify_handle (the xxxx.myshopify.com subdomain)
• Currency, locale, theme name and role
• Shopify Plus indicator
• OG title, description, image, site name
• CDN store ID (sequential — lower = older Shopify account)

🌍 International Expansion (new!)

• All hreflang language combinations detected on homepage
• Currency switcher detected (yes/no)
• Country selector detected (yes/no)
• International expansion score (0-100)

⏱️ Brand Age Estimation (new!)

• Earliest Wayback Machine snapshot date
• Earliest SSL certificate date (via crt.sh)
• Estimated brand age in years
• Estimated founding year

⭐ Reviews Aggregate

• Aggregate rating (from schema.org JSON-LD)
• Total review count

🧠 Derived Intelligence (new!)

• Customer segment — mass-market / mid-market / premium / luxury (by AOV)
• Marketing channel mix — search-driven, social-driven, paid-driven, brand-driven, email-driven, mixed
• Dropshipper risk score (0-100) with explained signals — detects suspicious operations:
  • Brand age < 1 year
  • 50%+ of products new this month
  • Low traffic
  • Aggressive discounting > 70%
  • AliExpress-tier pricing
  • Dropshipping apps detected (Oberlo, Dsers, AutoDS, CJ Dropshipping, Spocket)
  • High duplicate description ratio (generic catalog signal)
  • Recent CDN store ID + low brand age

📦 Input

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

Field	Description	Default
storeUrls	Array of Shopify store URLs (or bare domains)	required
conversionRate	% for revenue formula. Industry: 2.5%. Fashion: 1.5-2%. Electronics: 1%. Impulse: 3-4%	2.5
productSampleSize	How many products to sample (0 = full catalog)	250
extractTraffic	Pull SimilarWeb data	true
extractRevenueEstimate	Compute revenue formula	true
extractTechStack	Detect 60+ apps + extract tracking IDs (GTM, GA4, FB Pixel, Klaviyo key, etc.)	true
extractPromo	Free shipping threshold, active promo codes, announcement bar text	true
extractBrandAge	Wayback + crt.sh lookups	true
extractInternational	hreflang + currency switcher	true
extractDerivedSignals	Customer segment, dropshipper risk, marketing mix	true
extractSitemap	Real product/page counts from sitemap.xml	true
maxConcurrency	Parallel stores	3

All extract flags can be toggled off to save speed.

💼 Use Cases

🥇 Dropshipping Spy

• Verify a competitor's revenue before copying their niche
• See exactly which Shopify apps winners use → install the same stack
• Filter brands by dropshipper_risk_bucket: "low" + revenue > $1M/mo to find legit niches
• Identify hot products via likely_best_sellers

🥈 B2B Lead Generation for Shopify Apps

• Find stores without your tool (e.g. no Klaviyo → pitch them email automation)
• Find stores using a competitor (e.g. Yotpo → pitch them Judge.me)
• Filter by revenue tier for enterprise-ready prospects
• Get founder emails and social handles in one call

🥉 Investment Due Diligence

• Verify claimed revenue via traffic × CR × AOV formula
• Cross-check brand age via Wayback Machine + SSL certs
• Marketing efficiency: paid-driven (high CAC) vs brand-driven (sustainable)
• Inventory health: out-of-stock % is a real ops signal

Agency Prospecting

• Stores with old themes (e.g. Hydra 2023) → pitch redesign
• Low page_per_visit → pitch CRO services
• Low international_expansion_score → pitch geo-expansion
• High dropshipper_risk_score → unlikely to convert (skip)

Market Research

• Track 100+ competitors weekly (bulk input)
• Compare AOV, velocity, tech stack across a niche
• Identify rising vs declining brands via traffic trends
• Discover untapped markets via low international expansion

📖 Sample Output (real data)

Allbirds.com (real result):

{
  "domain": "allbirds.com",
  "myshopify_handle": "weareallbirds.myshopify.com",
  "currency": "USD",
  "theme_name": "rc-cm-2026-05-21_00-29 Update",
  "cdn_store_id": "1104/4168",
  "cdn_store_id_numeric": 11044168,
  "tech_stack": ["Google Analytics", "Shop Pay", "Apple Pay"],
  "tracking_ids": {
    "google_tag_manager": "TH8KRSBJ"
  },
  "announcement": {
    "announcement_discount_pct": 30,
    "announcement_bar_text": "30% off your order when you spend $150+. Discount automatically applied at checkout. * Exclusions apply"
  },
  "socials": {
    "instagram": "allbirds",
    "facebook": "weareallbirds",
    "tiktok": "weareallbirds",
    "youtube": "UCnGErLCau5qNJ0Xwe6uEyTw",
    "pinterest": "weareallbirds"
  },
  "price_min": 3.00, "price_max": 99.00, "price_median": 39.00,
  "avg_order_value": 58.50,
  "products_on_sale_pct": 98.0,
  "avg_discount_pct": 53.0,
  "vendors_count": 1,
  "variant_in_stock_pct": 1.3,
  "avg_images_per_product": 2.5,
  "unique_tags_count": 285,
  "top_tags": [
    {"tag": "collection:apr26", "count": 100},
    {"tag": "shoprunner", "count": 100},
    {"tag": "final sale", "count": 97}
  ],
  "duplicate_description_pct": 89.0,
  "new_products_30d": 100,
  "oldest_product_date": "2026-04-21",
  "sitemap_products": 980,
  "sitemap_pages": 418,
  "sitemap_blogs": 82,
  "hreflangs_count": 85,
  "has_country_selector": true,
  "international_expansion_score": 70,
  "estimated_brand_age_years": 10.4,
  "estimated_founded_year": 2015,
  "traffic": {
    "monthly_visits": 3608048,
    "global_rank": 10716,
    "category_rank": 127,
    "top_countries": [{"country_code": "US", "share": 0.87}]
  },
  "revenue_estimate": {
    "monthly_revenue_usd_est": 6629788,
    "annualized_revenue_usd_est": 79557456,
    "conversion_rate_used_pct": 2.5
  },
  "customer_segment": "mid-market",
  "marketing_channel_mix": "search-driven (58%)",
  "dropshipper_risk_score": 50,
  "dropshipper_risk_bucket": "high",
  "dropshipper_signals": [
    "> 50% products new this month",
    "aggressive discounting (>70% on sale)",
    "89% products share descriptions (generic catalog)"
  ]
}

🔧 How It Works

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

1. /products.json — Shopify's public catalog API (works on every Shopify store)
2. /collections.json — public collection metadata
3. /sitemap.xml — recursive child sitemaps for real page totals
4. Homepage HTML — parsed for tech stack, socials, meta tags, Shopify globals, schema.org markup
5. SimilarWeb public API — data.similarweb.com/api/v1/data (undocumented but stable for years)
6. Wayback Machine — archive.org/wayback/available for first snapshot date
7. crt.sh — SSL certificate transparency logs for first cert date
8. hreflang scan — homepage <link> tags for international targeting
9. Schema.org JSON-LD — aggregateRating for review widget output

Revenue estimate uses the industry-standard formula:

estimated_revenue = monthly_visits × conversion_rate × AOV
AOV = median_price × 1.5 (industry heuristic for items per order)

Real brands tracked publicly often match within ±25% — same formula StoreLeads, Commerce Inspector, and SimilarWeb Pro use.

⚡ Speed & Reliability

• 9 seconds per store (parallel HTTP, no rendering needed)
• 3 stores in parallel by default (configurable up to 10)
• No proxies needed — all sources work from datacenter IPs
• Zero antibot risk — we hit only public, intended-to-be-public endpoints

❓ FAQ

Q: Will this work on every Shopify store? A: Yes — every store with /products.json enabled (which is the default). Some stores hide their catalog; for those you'll get tech stack, socials, traffic, but no products.

Q: How accurate is the revenue estimate? A: For stores with 100K+ monthly visits: usually within ±25% of public revenue. For smaller stores: less reliable due to SimilarWeb sampling. Always treat as an order-of-magnitude estimate.

Q: Can it detect Shopify Plus stores? A: Yes, via the likely_shopify_plus boolean (HTML markers).

Q: What if SimilarWeb has no data for a store? A: Traffic and revenue fields will be null, but you still get all product, tech stack, brand age, and signal data.

Q: Is the dropshipper risk score reliable? A: It's a heuristic that combines 6 signals. High scores (50+) almost always indicate dropshippers. Low scores (under 25) are usually legit brands. Medium (25-50) needs manual review.

Q: How is brand age estimated? A: We take the earliest of (Wayback Machine first snapshot, crt.sh first SSL cert). For domains older than ~2010, this is usually within 1-2 years of actual founding.

🚦 Rate Limits

No artificial rate limits. Practical throughput depends on SimilarWeb (handles 5-10 req/sec) and crt.sh (slower, ~1-2/sec). Default maxConcurrency: 3 is safe for any volume.

🔄 Bulk Usage

For analyzing hundreds or thousands of stores, the actor scales linearly:

• 100 stores ≈ 5-7 minutes
• 1,000 stores ≈ 50-70 minutes (concurrency 3)
• 1,000 stores ≈ 17-25 minutes (concurrency 10)

Charge: $10 per 1,000 stores analyzed = $0.01 per store.

🔗 Related Actors

• Shopify Product Scraper — extract full catalogs from any Shopify store
• WooCommerce Store Analyzer — same for WooCommerce
• Domain Intelligence Scraper — WHOIS, DNS, SSL, subdomains for any domain

📞 Support

Issues, feature requests, or custom data fields? Reach out via Apify messaging or open an issue on this actor's page.