Shopify Store Detector -- Theme, Apps & Tech Stack Analysis

Instantly analyze any Shopify store to uncover its theme, installed apps, and full technology stack. Whether you are a competitive intelligence analyst, an e-commerce agency building client proposals, or a SaaS company prospecting Shopify merchants, this actor gives you a complete technical fingerprint of any Shopify storefront. Detect 55+ app categories, identify the active theme, and score tech maturity -- all from a single URL.

Key Features

• Theme Detection -- Identifies the active Shopify theme name and version by analyzing the Shopify.theme JavaScript object and storefront markup.
• App Detection Across 55+ Categories -- Detects installed apps across 12 major categories: reviews, email marketing, loyalty programs, upsell/cross-sell, analytics, live chat, SEO, shipping, subscriptions, marketing automation, page builders, and personalization.
• Shopify Plan Identification -- Determines whether the store is on Basic, Shopify, Advanced, or Plus based on checkout and feature signals.
• Tech Stack Fingerprinting -- Identifies third-party scripts, payment gateways, analytics tools, CDN providers, and custom integrations beyond the Shopify app ecosystem.
• Tech Maturity Scoring -- Generates a composite score based on the number and sophistication of installed tools, helping you segment stores by technical readiness.
• Bulk Analysis -- Pass a list of store URLs and analyze hundreds of competitors in a single run. Results are returned per-store with consistent schema.
• Tracker Mode -- Schedule recurring runs to monitor when competitors add, remove, or change apps. Get alerted to tech stack shifts that signal strategic moves.
• Competitive Benchmarking -- Compare app adoption patterns across multiple stores to identify industry-standard tools and emerging trends.

Output Example

Each result contains a full technical profile of the analyzed store:

{
  "url": "https://gymshark.com",
  "shopifyPlan": "Plus",
  "theme": {
    "name": "Custom / Bespoke",
    "themeStoreId": null
  },
  "detectedApps": {
    "reviews": ["Yotpo"],
    "email": ["Klaviyo"],
    "loyalty": ["LoyaltyLion"],
    "upsell": ["ReConvert"],
    "analytics": ["Google Analytics 4", "Hotjar"],
    "chat": ["Gorgias"],
    "seo": ["JSON-LD for SEO"],
    "shipping": ["ShipBob"]
  },
  "totalAppsDetected": 14,
  "techMaturityScore": 87,
  "paymentGateways": ["Shopify Payments", "PayPal", "Klarna"],
  "cdnProvider": "Cloudflare"
}

How to Use

1. Provide store URLs -- Enter one or more Shopify store URLs (e.g., https://gymshark.com). The actor automatically validates that each URL is a Shopify store.
2. Configure detection depth -- Choose whether to run a quick scan (theme and top apps only) or a deep analysis (full tech stack, maturity scoring, and plan detection).
3. Run the actor -- Click "Start" in the Apify Console or trigger via API. Each store typically completes in 5-15 seconds.
4. Review and export -- Browse results in the Apify Console, download as JSON/CSV, or push to Google Sheets, CRMs, or webhooks for immediate action.

Integration Examples

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("nexgendata/shopify-store-detector").call(
    run_input={
        "urls": [
            "https://gymshark.com",
            "https://allbirds.com",
            "https://bombas.com"
        ]
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["url"], item["totalAppsDetected"], item["techMaturityScore"])

cURL

curl "https://api.apify.com/v2/acts/nexgendata~shopify-store-detector/runs?token=YOUR_API_TOKEN" \
  -X POST \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://gymshark.com", "https://allbirds.com"]}'

Use Cases

• E-commerce Agencies -- Audit a potential client's Shopify tech stack before the sales call. Show up with a detailed analysis of their current tools and specific upgrade recommendations.
• SaaS Sales Teams -- Prospect Shopify merchants based on technology gaps. If a store has no loyalty app installed, that is a qualified lead for your loyalty platform.
• Competitive Intelligence Analysts -- Monitor how top DTC brands evolve their tech stacks over time. Identify trends like the shift from Mailchimp to Klaviyo before they become obvious.
• App Developers -- Understand adoption patterns for your app category. See which competitor apps are most commonly installed alongside yours and identify partnership opportunities.
• Investors & VCs -- Evaluate the technical sophistication of portfolio companies or acquisition targets by scoring their technology maturity against industry benchmarks.
• Shopify Merchants -- Reverse-engineer the tech stacks of brands you admire. See exactly which apps power their reviews, email, loyalty, and upsell experiences.

FAQ

What are the rate limits? The actor handles rate limiting automatically and spaces requests to avoid detection. You can safely analyze 500+ stores per run without any configuration.

How fresh is the data? Every run performs live analysis against the target store. There is no caching or stale data -- you always get the current tech stack as of the moment the actor runs.

What output formats are supported? JSON, CSV, Excel, and XML. You can also push results directly to Google Sheets, Slack, HubSpot, or any webhook endpoint via Apify integrations.

How much does it cost? This actor uses pay-per-event pricing at $0.015 per store analyzed plus $0.01 per actor start. Analyzing 100 stores costs approximately $1.51. See the pricing table below.

How does this compare to BuiltWith or Wappalyzer? BuiltWith charges $295/mo and Wappalyzer charges $250/mo for Shopify-specific tech detection. This actor provides deeper Shopify-specific analysis (theme detection, plan identification, 55+ app categories) at a fraction of the cost with no monthly commitment.

Can I access this via API? Yes. Full REST API access plus official Python, JavaScript, and Node.js SDKs. Trigger runs, poll for results, and manage schedules programmatically.

Pricing

Metric	Cost
Cost per store analyzed	$0.015
Cost per actor start	$0.01
100 stores	$1.51
1,000 stores	$15.01
10,000 stores	$150.01
BuiltWith (competitor)	$295/mo
Wappalyzer (competitor)	$250/mo
Manual research (2 hrs @ $50/hr)	$100 per store

Analyzing 1,000 Shopify stores costs just $15 -- less than a single month of BuiltWith or Wappalyzer, and you keep the data forever.

Why Choose This Actor

• Shopify-specific depth -- Unlike generic tech detection tools, this actor understands the Shopify ecosystem deeply. It detects apps that BuiltWith and Wappalyzer miss entirely.
• 55+ app categories -- The most comprehensive Shopify app detection on the market, covering reviews, email, loyalty, upsell, analytics, chat, SEO, shipping, subscriptions, marketing, page builders, and personalization.
• Tech maturity scoring -- Go beyond raw app lists with a composite score that lets you segment and prioritize stores by technical sophistication.
• No monthly subscription -- Pay only for what you use. No contracts, no minimums, no wasted spend on months you do not run analysis.

Get Started

New to Apify? Sign up here to get started with $5 in free credits -- enough to analyze hundreds of Shopify stores for free.

Related Shopify Actors

NexGenData offers a complete Shopify intelligence suite. Each actor targets a different use case:

Actor	What It Does	Best For
Shopify Revenue Estimator	Revenue estimates, theme & app detection, traffic analysis	Competitive due diligence, investor research
Shopify Product Extractor	Full product catalogs with prices, variants, inventory	Dropshipping, price monitoring
Shopify Product Scraper	Lightweight product data via /products.json	Quick product lookups, data pipelines
Shopify Store Detector	Theme, 55+ app fingerprints, tech stack, Shopify plan	Tech stack analysis, market research
Shopify App Store Scraper	App listings, reviews, pricing, ratings from apps.shopify.com	App market intelligence, competitor tracking

Sign up for Apify to get started with $5 in free credits every month.

Related tools

• Shopify Product Scraper — Full Catalogs
• Shopify Product Extractor — Catalog & Prices
• Shopify Revenue Estimator — Store Intel
• ₿ Crypto Price Tracker — Real-Time & Alerts

💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/shopify-store-detector").call(run_input={
    # Fill in the input shape from the actor's input_schema
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~shopify-store-detector/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ /* input schema */ }'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token from Settings → Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? See the pricing section below. Most runs finish under $0.10 for typical batches.

Q: Is this actor maintained? Yes. NexGenData maintains 165+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes — you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself.

Q: How do I handle rate limits? Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability.

💰 Pricing

Pay-per-event pricing — you only pay for what you actually extract.

• Actor Start: $0.0001
• result: $0.0050

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