Shopify Store Analyzer — Python SDK

Get revenue estimates, traffic data, tech stack, brand age & dropshipper risk for any Shopify store via a single API call.

Python client for the Shopify Store Analyzer Apify Actor — extract 40+ business intelligence signals from any Shopify store using only public data sources.

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What it does

For any Shopify store URL, this actor returns a single rich JSON record combining 9 public data sources + 40+ derived intelligence signals.

A direct, pay-per-use alternative to:

• StoreLeads.app ($29/mo)
• Commerce Inspector ($10/mo)
• SimilarWeb Pro
• BuiltWith

Pricing: $0.01 per store analyzed. No monthly subscription, no credits expiring, no rate limits.

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Quick start

from shopify_analyzer import ShopifyAnalyzerClient

client = ShopifyAnalyzerClient(api_token="apify_api_xxxxxx")

result = client.analyze_one("https://allbirds.com")

print(f"Revenue:       ${result['revenue_estimate']['monthly_revenue_usd_est']:,}/mo")
print(f"Traffic:       {result['traffic']['monthly_visits']:,} visits/mo")
print(f"Brand age:     {result['estimated_brand_age_years']} years")
print(f"Tech stack:    {', '.join(result['tech_stack'])}")
print(f"Risk score:    {result['dropshipper_risk_score']}/100 ({result['dropshipper_risk_bucket']})")

Output:

Revenue:       $6,629,788/mo
Traffic:       3,608,048 visits/mo
Brand age:     10.4 years
Tech stack:    Google Analytics, Shop Pay, Apple Pay
Risk score:    50/100 (high)

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Installation

pip install shopify-store-analyzer

Or clone and use directly:

git clone https://github.com/apivault-labs/shopify-store-analyzer-python.git
cd shopify-store-analyzer-python
pip install -r requirements.txt

Requires Python 3.9+ and the requests library.

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Get your API token (free)

1. Sign up at apify.com — free tier includes $5 monthly credits, no card required
2. Go to Account → Integrations
3. Copy your Personal API token

export APIFY_API_TOKEN=apify_api_xxxxxxxxxxxxxxxxxxxxxxxx

Or pass it explicitly:

client = ShopifyAnalyzerClient(api_token="apify_api_xxxxxx")

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What you get for $0.01 per store

💰 Revenue & Traffic

• Estimated monthly revenue (visits × CR × AOV)
• Annualized revenue projection
• Monthly visits + 3-month trend (via SimilarWeb)
• Global rank, country rank, category rank
• Bounce rate, page per visit, avg time on site
• Top 5 countries by traffic share
• Top 10 keywords with search volume + CPC

📊 Product Intelligence

• Product count, AOV, price range
• New products in 7 / 30 / 90 days (velocity)
• Discount aggressiveness (% on sale + avg discount %)
• Vendor concentration, product types
• Inventory health (% in stock)
• Top 20 product tags (niche detection)
• Duplicate description ratio (dropshipper signal)
• Likely best-sellers (top 5 by image count)

🛠️ Tech Stack (60+ apps detected)

Klaviyo, Yotpo, Judge.me, ReCharge, Gorgias, AfterShip, PageFly, Shogun, Hotjar, Triple Whale, Northbeam, Algolia, Rebuy, Smile.io, Loox, Stamped, Okendo, Junip, Bold, Postscript, Attentive, Drift, Tidio, Re:amaze, Lucky Orange, Crazy Egg, Mouseflow, Refersion, ShipStation, ShipBob, Spocket, AutoDS, CJ Dropshipping, Oberlo, Dsers, Printful, Klarna, Afterpay, Sezzle, Affirm, Shop Pay, Apple Pay, Google Pay, PayPal — and more.

🎯 Tracking IDs (unique feature)

Public advertising IDs for brand-network mapping:

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

Same FB Pixel on two different stores = same operator. Detect parallel brand operations.

📢 Active Promo & Announcement Bar

• Free shipping threshold ($35, $50, $100, or 0 for universal)
• Active promo codes (SUMMER25, SAVE10)
• Current discount % shown on the banner
• Announcement bar text

⏱️ Brand Age

• Earliest Wayback Machine snapshot
• Earliest SSL certificate (via crt.sh)
• Estimated brand age in years
• Estimated founding year
• Shopify CDN store ID (sequential, lower = older)

🌍 International Expansion

• All hreflang languages detected
• Currency switcher / country selector flags
• International expansion score (0–100)

🧠 Derived Intelligence

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

📱 Social & Contact

• Instagram, Facebook, Twitter/X, TikTok, YouTube, Pinterest, LinkedIn handles
• Public emails and phones from homepage

🌐 Sitemap totals

Real product / page / collection / blog counts (not just sample).

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Examples

See the examples/ folder for full code:

File	What it does
quickstart.py	Analyze one store, print key metrics
bulk_analyze.py	Analyze 50+ stores in parallel
find_dropshippers.py	Filter stores by risk score
export_to_csv.py	Save results to CSV / Excel
compare_competitors.py	Side-by-side competitor comparison
monitor_changes.py	Track stores over time, detect changes

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API reference

ShopifyAnalyzerClient(api_token=None, timeout=600)

Param	Type	Description
api_token	str	Apify API token. Falls back to APIFY_API_TOKEN env var.
timeout	int	Max seconds to wait for analysis. Default 600 (10 min).

client.analyze(store_urls, conversion_rate=2.5, product_sample_size=250, ...)

Analyze multiple stores synchronously.

Param	Type	Default	Description
store_urls	list[str]	required	Shopify store URLs (full or bare domain)
conversion_rate	float	2.5	% for revenue formula. Industry: 2.5%, fashion: 1.5–2%, electronics: 1%, impulse: 3–4%
product_sample_size	int	250	Max products to sample (0 = full catalog)
max_concurrency	int	3	Parallel stores to analyze

Plus boolean toggles to skip data sources for speed:

Flag	Default	Effect
extract_traffic	True	Pull SimilarWeb data
extract_brand_age	True	Wayback Machine + crt.sh lookups
extract_tech_stack	True	Detect 60+ apps + tracking IDs
extract_promo	True	Free shipping, promo codes, announcement
extract_international	True	hreflang + currency switcher
extract_sitemap	True	Sitemap totals
extract_derived_signals	True	Risk score, customer segment, marketing mix

Returns: list[dict] — one record per store.

client.analyze_one(store_url, **kwargs)

Convenience wrapper for single-store analysis. Returns one dict.

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Sample output

{
  "domain": "allbirds.com",
  "myshopify_handle": "weareallbirds.myshopify.com",
  "currency": "USD",
  "cdn_store_id": "1104/4168",
  "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."
  },
  "socials": {
    "instagram": "allbirds",
    "tiktok": "weareallbirds"
  },
  "price_min": 3.0, "price_max": 99.0, "price_median": 39.0,
  "avg_order_value": 58.50,
  "products_on_sale_pct": 98.0,
  "avg_discount_pct": 53.0,
  "avg_images_per_product": 2.5,
  "unique_tags_count": 285,
  "top_tags": [
    {"tag": "collection:apr26", "count": 100},
    {"tag": "shoprunner", "count": 100}
  ],
  "duplicate_description_pct": 89.0,
  "new_products_30d": 100,
  "sitemap_products": 980,
  "hreflangs_count": 85,
  "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"
}

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Use cases

🥇 Dropshipping competitor research

Verify a competitor's revenue before copying their niche. Find legit brands (dropshipper_risk_bucket: "low") with revenue > $1M/mo and study their tech stack.

🥈 B2B lead generation for Shopify apps

Find stores without your app (e.g. no Klaviyo → email automation pitch). Filter by revenue tier for enterprise prospects. Get founder emails and social handles in one call.

🥉 Investment due diligence

Verify claimed revenue. Cross-check brand age via Wayback + SSL. Spot paid-driven marketing (high CAC) vs brand-driven (sustainable).

🎯 Agency prospecting

• Old themes → pitch redesign
• Low page_per_visit → pitch CRO
• Low international_expansion_score → pitch geo-expansion
• High dropshipper_risk_score → skip (won't convert)

📊 Market research

Track 100+ competitors weekly. Compare AOV, velocity, tech stack across a niche.

🔍 Brand network detection

Use tracking_ids to detect domains sharing the same Facebook Pixel or GTM container — same operator behind multiple brands.

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Pricing

Pay only for what you analyze:

Volume	Cost
1 store	$0.01
100 stores	$1.00
1,000 stores	$10.00
10,000 stores	$100.00

Free Apify tier includes ~$5 monthly credit — analyze ~500 stores per month for free.

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How it works

All data sources are public and free — no logins, no proxies, no extra API keys:

1. /products.json — Shopify's public catalog API
2. /collections.json — public collections
3. /sitemap.xml — recursive child sitemaps for real totals
4. Homepage HTML — tech stack, socials, meta, tracking IDs, announcement bar
5. SimilarWeb public API — undocumented but stable
6. Wayback Machine — first snapshot date
7. crt.sh — earliest SSL cert (certificate transparency logs)
8. hreflang scan — international targeting
9. Schema.org JSON-LD — aggregateRating

Revenue formula:

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

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FAQ

Q: Will it work on every Shopify store? A: Yes — every store with /products.json enabled (the default). Some stores hide their catalog; for those you still get tech stack, socials, traffic, brand age.

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

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

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

Q: Is the dropshipper risk score reliable? A: It's a heuristic. Scores 50+ almost always indicate dropshippers. Under 25 = legit brands. 25–50 = manual review.

Q: Can I run this without Apify? A: This package is a thin wrapper around the hosted actor. The actor handles infrastructure, retries, parallelism. Self-hosted scraping at scale is a separate undertaking.

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Related Apify actors

• Shopify Product Scraper — extract full catalogs
• WooCommerce Store Analyzer — same intelligence for WooCommerce
• Domain Intelligence Scraper — WHOIS, DNS, SSL, subdomains
• WordPress Plugin Directory Scraper — 60K+ plugins

See all actors by apivault_labs.

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License

MIT — see LICENSE.

This client is open source. The underlying Apify actor is a paid service ($0.01/store).

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Keywords

shopify-scraper shopify-store-analyzer shopify-revenue-estimator shopify-intelligence shopify-api storeleads-alternative commerce-inspector-alternative similarweb-alternative ecommerce-intelligence dropshipper-detection competitive-intelligence web-scraping apify apify-actor python-sdk shopify-tech-stack shopify-tracking-ids shopify-revenue-api shopify-traffic-estimation lead-generation b2b-leads