WooCommerce Store Analyzer — Python SDK

Spy on any WooCommerce store: revenue, traffic, brand age, 70+ plugins detected, tech stack, tracking IDs, dropshipper risk, international expansion — all in one API call.

Python client for the WooCommerce Store Analyzer Apify Actor — get 56+ intelligence fields for any WooCommerce store using only public data sources.

---

What it does

WooCommerce powers ~30% of all online stores worldwide. For any WooCommerce URL, this actor returns a single rich JSON record combining 8 public data sources and 20+ derived intelligence signals.

A direct, pay-per-use alternative to:

• BuiltWith ($295+/mo)
• Wappalyzer ($150+/mo)
• SimilarWeb Pro
• Commerce Inspector ($10/mo, Shopify-focused)

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

---

Quick start

from woocommerce_analyzer import WooCommerceAnalyzerClient

client = WooCommerceAnalyzerClient(api_token="apify_api_xxxxxx")

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

print(f"Revenue:       ${result['revenue_estimate']['monthly_revenue_usd_est']:,}/mo")
print(f"Traffic:       {result['traffic']['monthly_visits']:,} visits/mo")
print(f"WP version:    {result.get('wordpress_version', '?')}")
print(f"WC version:    {result.get('woocommerce_version', '?')}")
print(f"Plugins:       {result['plugins_count']}")
print(f"Tech quality:  {result['tech_quality_score']}/100")
print(f"Risk:          {result['dropshipper_risk_score']}/100 ({result['dropshipper_risk_bucket']})")

Output:

Revenue:       $1,843,570/mo
Traffic:       1,393,477 visits/mo
WP version:    7.0
WC version:    8.4.1
Plugins:       3
Tech quality:  90/100
Risk:          0/100 (low)

---

Installation

pip install woocommerce-store-analyzer

Or clone and use directly:

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

Requires Python 3.9+ and the requests library.

---

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 = WooCommerceAnalyzerClient(api_token="apify_api_xxxxxx")

---

What you get for $0.01 per store

💰 Revenue & Traffic Intelligence

• Estimated monthly revenue (visits × CR × AOV)
• Annualized revenue projection
• Monthly visits + 3-month trend (SimilarWeb)
• 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/...)
• Top 10 keywords with search volume + CPC

🔌 Plugin Detection (two methods)

1. HTML scan — plugin slugs from /wp-content/plugins/<slug>/
2. WP REST namespaces — plugins that register REST endpoints (more reliable)

🛠️ Tech Stack (70+ apps)

• Page builders: Elementor, Divi, WPBakery, Beaver Builder, Oxygen, Bricks
• Payments: Stripe, PayPal, Square, Klarna, Afterpay, Sezzle, Affirm
• Reviews: Judge.me, Yotpo, Loox, Trustpilot
• Email: Klaviyo, Mailchimp, MailPoet, ActiveCampaign, ConvertKit, HubSpot
• SEO: Yoast, Rank Math, AIOSEO
• Cache: WP Rocket, W3 Total Cache, LiteSpeed, NitroPack, Cloudflare
• Pixels: Facebook, TikTok, Pinterest, Google, Microsoft Clarity, Hotjar
• Hosting hints: WP Engine, Kinsta, SiteGround, Hostinger
• Security: Wordfence, Sucuri, iThemes Security
• Multilingual: WPML, Polylang, TranslatePress
• LMS: MemberPress, LearnDash, LifterLMS

🎯 Tracking IDs (unique feature)

Public advertising IDs for brand-network mapping:

• Google Tag Manager, GA4, Universal Analytics
• Facebook Pixel, TikTok Pixel, Pinterest Tag
• Klaviyo public key, Hotjar, Microsoft Clarity

Same FB Pixel on two domains = same operator. Detect parallel WooCommerce brands.

🌐 Sitemap Totals

• Real product / page / post / category counts (from /sitemap.xml)

⏱️ Brand Age

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

🌍 International Expansion

• All hreflang languages
• Currency switcher / country selector flags
• WPML / Polylang detection
• International expansion score (0-100)

🏷️ WordPress Meta

• WordPress version (from generator meta)
• WooCommerce version (from asset paths)
• Active theme, currency, OG metadata

🧠 Derived Intelligence

• tech_quality_score (0-100) with explained signals — composite quality
• dropshipper_risk_score (0-100) — heuristic detection (alidropship, dropified, spocket)
• customer_segment — mass-market / mid-market / premium / luxury
• marketing_channel_mix — search-driven / social-driven / paid-driven / brand-driven
• international_expansion_score (0-100)

📱 Social & Contact

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

---

Examples

See examples/ 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 dropshipper risk score
agency_prospecting.py	Find WC stores with outdated WP/WC for agency leads
plugin_research.py	Aggregate plugin usage across niche stores
brand_network_detector.py	Detect domains sharing the same FB Pixel/GTM
export_to_csv.py	Save results to CSV / Excel

---

API reference

WooCommerceAnalyzerClient(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, **kwargs)

Analyze multiple stores synchronously.

Param	Type	Default	Description
store_urls	list[str]	required	WooCommerce store URLs (or bare domains)
conversion_rate	float	1.8	% for revenue formula. Industry: 1.5–2%
product_sample_size	int	200	Products to sample (0 = full catalog)
max_concurrency	int	3	Parallel stores to analyze

Plus boolean toggles to skip layers for speed:

Flag	Default	Effect
extract_traffic	True	Pull SimilarWeb data
extract_revenue_estimate	True	Compute revenue formula
extract_tech_stack	True	Detect 70+ apps + tracking IDs
extract_plugins	True	Plugin slugs from HTML
extract_wp_namespaces	True	Active plugins via WP REST
extract_sitemap	True	Real totals from sitemap.xml
extract_brand_age	True	Wayback + crt.sh lookups
extract_international	True	hreflang + currency switcher
extract_derived_signals	True	tech_quality_score, dropshipper_risk_score

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

client.analyze_one(store_url, **kwargs)

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

client.find_by_revenue(store_urls, min_usd_per_month, **kwargs)

Filter analyzed stores by minimum estimated monthly revenue.

client.find_outdated_wp(store_urls, max_wp_version=6.0, **kwargs)

Find stores running WordPress older than X.Y — agency lead generation.

client.estimate_cost(store_count)

Returns the estimated USD cost for analyzing store_count stores.

---

Sample output

{
  "domain": "store.com",
  "wordpress_version": "6.4.2",
  "woocommerce_version": "8.4.1",
  "theme_slug": "astra",
  "currency": "USD",
  "tech_stack": ["WooCommerce", "Elementor", "Stripe", "Klaviyo", "Yoast SEO", "WP Rocket"],
  "tracking_ids": {
    "google_tag_manager": "GTM-ABC1234",
    "facebook_pixel": "1234567890123456"
  },
  "plugins_detected": ["woocommerce", "elementor", "klaviyo", "yoast-seo"],
  "plugins_count": 24,
  "wp_namespaces": ["yoast/v1", "wpforms/v1", "elementor/v1"],
  "wp_rest_alive": true,
  "sitemap_products": 487,
  "sitemap_pages": 24,
  "hreflangs_count": 3,
  "international_expansion_score": 50,
  "estimated_brand_age_years": 4.2,
  "estimated_founded_year": 2022,
  "traffic": {
    "monthly_visits": 187432,
    "global_rank": 89321,
    "category_rank": 421,
    "top_countries": [{"country_code": "US", "share": 0.74}]
  },
  "revenue_estimate": {
    "monthly_revenue_usd_est": 247943,
    "annualized_revenue_usd_est": 2975316,
    "conversion_rate_used_pct": 1.8
  },
  "customer_segment": "mid-market",
  "marketing_channel_mix": "search-driven (52%)",
  "tech_quality_score": 90,
  "tech_quality_signals": ["WP 6.3+", "WC 8.x+", "modern payments", "caching layer", "SEO plugin", "email marketing"],
  "dropshipper_risk_score": 0,
  "dropshipper_risk_bucket": "low"
}

---

Use cases

🥇 WP-agency prospecting

Find stores with outdated WordPress / WooCommerce versions, no caching, no security plugin, no SEO plugin — perfect leads for WP optimization services.

candidates = ["https://store1.com", "https://store2.com", ...]
outdated = client.find_outdated_wp(candidates, max_wp_version=6.0)
# → list of stores with WP < 6.0 — pitch WP upgrade

🥈 Plugin/SaaS sales

Find WC stores using your competitor (e.g. Mailchimp → pitch Klaviyo) or NOT using your category (e.g. no Wordfence → pitch security).

stores = client.analyze(candidates)
no_klaviyo = [s for s in stores
              if "Klaviyo" not in (s.get("tech_stack") or [])
              and s.get("revenue_estimate", {}).get("monthly_revenue_usd_est", 0) > 50000]

🥉 Dropshipping competitor research

Verify a competitor's revenue before copying. Filter dropshipper_risk_score < 25 + revenue > $50K/mo to find legit niches worth entering.

🎯 Plugin research at scale

Aggregate top_plugins across 100 stores in a niche → see which plugin combinations correlate with success.

📊 Investment due diligence

Verify claimed revenue. Cross-check brand age via Wayback + SSL. Detect tech stack maturity.

Brand network detection

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

stores = client.analyze(candidates)
fb_pixel_groups = {}
for s in stores:
    pixel = s.get("tracking_ids", {}).get("facebook_pixel")
    if pixel:
        fb_pixel_groups.setdefault(pixel, []).append(s["domain"])

# Detect networks
for pixel, domains in fb_pixel_groups.items():
    if len(domains) > 1:
        print(f"Same FB Pixel {pixel}: {domains}")

Market research

Track 100+ WC competitors weekly. Compare AOV, plugin choices, customer segment.

---

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

1. /wp-json/wc/store/v1/products — WooCommerce Store API (default-on since WC 4.7)
2. /wp-json/wc/store/v1/products/categories — public category metadata
3. /wp-json/ — list of registered REST namespaces (active plugins fingerprint)
4. /sitemap.xml / /wp-sitemap.xml — recursive child sitemaps for real totals
5. Homepage HTML — parsed for plugins, theme, tech stack, tracking IDs, hreflang, currency
6. SimilarWeb public API — stable for years
7. Wayback Machine — first snapshot date
8. crt.sh — SSL certificate transparency logs

Revenue estimate uses the industry-standard formula:

estimated_revenue = monthly_visits × conversion_rate × AOV
AOV = median_price × 1.5

---

Speed & reliability

• 8–12 seconds per store (parallel HTTP, no rendering)
• 3 stores in parallel by default (configurable up to 10)
• No proxies needed — all sources work from datacenter IPs
• Graceful degradation — if Wayback is slow, other layers still return data

---

FAQ

Q: Will it work on every WooCommerce store? A: Yes — every store with the Store API enabled (default since WC 4.7, ~95%+ of stores). Stores that disable it return an error and skip cleanly.

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 an order-of-magnitude estimate.

Q: Can I detect Shopify stores too? A: Use the companion Shopify Store Analyzer.

Q: How is tech_quality_score computed? A: Composite of WP/WC versions + modern payments + caching + security + SEO + email marketing + premium hosting. Stores scoring 70+ are well-maintained DTC brands; <30 = abandoned/legacy.

Q: How accurate is dropshipper_risk_score? A: Heuristic. Scores 50+ almost always indicate dropshippers. Under 25 = legit brands. 25–50 needs manual review.

Q: How is brand age estimated? A: Earliest of (Wayback first snapshot, crt.sh first SSL cert). For domains older than ~2010, usually within ±1–2 years of actual founding.

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

• WooCommerce Product Scraper — full catalog extraction with variants
• Shopify Store Analyzer — same intelligence for Shopify
• WordPress Plugin Detector — detect WP plugins on any site
• Domain Intelligence Scraper — WHOIS, DNS, SSL, subdomains

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

woocommerce-analyzer woocommerce-store-analyzer wordpress-analyzer wp-analyzer wp-plugin-detector wordpress-plugin-detection ecommerce-intelligence store-intelligence builtwith-alternative wappalyzer-alternative similarweb-alternative commerce-inspector-alternative competitor-intelligence wp-agency-prospecting wp-lead-generation dropshipper-detection dropshipper-risk-score brand-network-mapping tracking-id-extraction wc-store-api wp-rest-api wordpress-rest web-scraping apify apify-actor python-sdk tech-stack-detection