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.

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:

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

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)

Installation

pip install git+https://github.com/apivault-labs/shopify-store-analyzer-python.git

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.

Get your API token (free)

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

export APIFY_API_TOKEN=apify_api_xxxxxxxxxxxxxxxxxxxxxxxx

Or pass it explicitly:

client = ShopifyAnalyzerClient(api_token="apify_api_xxxxxx")

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).

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

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.

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"
}

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.

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.

How it works

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

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

Revenue formula:

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

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.

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.

License

MIT — see LICENSE.

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

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

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.github/workflows		.github/workflows
examples		examples
shopify_analyzer		shopify_analyzer
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
pyproject.toml		pyproject.toml
requirements.txt		requirements.txt

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Shopify Store Analyzer — Python SDK

What it does

Quick start

Installation

Get your API token (free)

What you get for $0.01 per store

💰 Revenue & Traffic

📊 Product Intelligence

🛠️ Tech Stack (60+ apps detected)

🎯 Tracking IDs (unique feature)

📢 Active Promo & Announcement Bar

⏱️ Brand Age

🌍 International Expansion

🧠 Derived Intelligence

📱 Social & Contact

🌐 Sitemap totals

Examples

API reference

ShopifyAnalyzerClient(api_token=None, timeout=600)

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

client.analyze_one(store_url, **kwargs)

Sample output

Use cases

🥇 Dropshipping competitor research

🥈 B2B lead generation for Shopify apps

🥉 Investment due diligence

🎯 Agency prospecting

📊 Market research

🔍 Brand network detection

Pricing

How it works

FAQ

Related Apify actors

License

Keywords

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`ShopifyAnalyzerClient(api_token=None, timeout=600)`

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

`client.analyze_one(store_url, **kwargs)`

Packages