Pricing

from $10.00 / 1,000 store analyzeds

Shopify Store Analyzer | $10/1K | Revenue, Traffic, Tech Stack

Spy on any Shopify store: revenue estimate, monthly visits, brand age, tech stack (60+ apps including Klaviyo, Yotpo, ReCharge, Gorgias), dropshipper risk score, customer segment, international expansion, social links, founders. Alternative to StoreLeads. $10/1K stores.

Pricing

from $10.00 / 1,000 store analyzeds

Rating

0.0

(0)

Developer

Apivault Labs

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Monthly active users

3 days ago

Last modified

[1.6] — 2026-05-31 — Competitor comparison report (premium add-on)

Added — cross-store benchmarking

New optional generateComparison flag. When analyzing 2 or more stores in one run, the Actor produces a single comparison report that ranks the stores against each other:
- rankings by monthly visits, estimated revenue, AOV, discount aggressiveness, international expansion and tech-stack richness
- the cohort leader in each category (traffic leader, revenue leader, highest AOV, most aggressive discounting, most international, richest tech stack)
- shared-tech analysis (which apps are common across the cohort vs rare)
- cohort averages and a customer-segment / dropshipper-risk breakdown
The report is added as a record in your dataset and also saved to the key-value store under COMPARISON_REPORT for easy one-key retrieval.
This is a premium add-on, billed once per run as a separate event, and only when a report is actually produced (needs at least 2 successfully analyzed stores). Leave generateComparison off to skip it entirely.

[1.5] — 2026-05-31 — Reliability & accuracy improvements

This release makes runs faster and more reliable, and ensures you only get clean, successful results in your dataset.

Improved — only successful analyses are saved

Stores that can't be analyzed (not a Shopify store, unreachable homepage) are no longer mixed into your results. Successful analyses go to your dataset; anything skipped is listed separately in the key-value store under FAILED_STORES so you can review it without it cluttering your data.

Improved — faster, more stable runs on large catalogs

Full-catalog mode (productSampleSize: 0) now samples up to 2000 products, which is more than enough for every metric and keeps runs fast and stable on very large stores.
Per-request response handling was streamlined so unusually large pages or sitemaps no longer slow a run down.

Changed — brand-age lookup is now opt-in

The brand-age lookup (earliest Wayback snapshot + SSL certificate) is the slowest part of an analysis and is a secondary signal, so it's now off by default (extractBrandAge: false). The store's CDN ID still gives an approximate age signal for free. Enable extractBrandAge when you specifically need founding year / brand age.

Added — per-run limits for predictable runs

Up to 100 stores per run (split larger lists across runs).
Each page/sitemap fetch reads only what's needed for the metrics.

[1.4] — 2026-05-21

Added — 5 new intelligence layers (no new HTTP requests)

New extractors (all parsed from existing homepage HTML / /products.json):

🎯 tracking_ids — extracts public advertising / analytics IDs:
- 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: brand-network mapping — multiple domains sharing the same FB Pixel = same operator. Unique feature, not offered by StoreLeads/Commerce Inspector.
🔢 cdn_store_id / cdn_store_id_numeric — Shopify-internal sequential ID parsed from cdn.shopify.com/s/files/1/{group}/{store}/. Lower numbers = older stores. Free backup signal for brand age, independent of Wayback / SSL. Stores on Online Store 2.0 get cdn_store_id_format: "online-store-2.0" instead.
📢 announcement block — pulls active marketing copy from announcement bars / hero sections:
- free_shipping_threshold_usd (e.g. 35, 50, 100, or 0 for universal free shipping)
- active_promo_codes — up to 3 currently-active codes (SUMMER25, SAVE10)
- announcement_discount_pct — current % off on banner
- announcement_bar_text — clean excerpt (Liquid placeholders filtered out)
🏷️ Top product tags (top_tags, unique_tags_count) — aggregated from /products.json tags field. Reveals niche orientation (vegan, eco, gift-for-her, men, women, organic, ...) at a glance.
🪞 duplicate_description_pct — percentage of sampled products sharing a body description. High duplicate ratio = generic AliExpress catalog. Adds a strong dropshipper signal.

Dropshipper risk score upgrades:

New signal: >30% duplicate descriptions → +15 points
New signal: very high CDN store ID (very recent store) + low brand age → +5 points

Input schema:

New flag extractPromo (default true) for announcement / promo extraction
Updated descriptions for extractTechStack, extractShopifyMeta, extractProducts to reflect new fields

Tested

colourpop.com → GTM WQKQL2VQ, GA4 WSYJCRME4P, "Free U.S. shipping on orders over $35", 207 unique tags, 44% duplicate descriptions
allbirds.com → GTM TH8KRSBJ, CDN store ID 1104/4168 (legacy), "30% off your order when you spend $150+", 89% duplicate descriptions

[1.3] — 2026-05-21

Added — Major intelligence expansion (5 new data sources, 14 new derived signals)

New data sources:

🌐 Sitemap analysis (/sitemap.xml) — real product/page/collection/blog totals (not sample-based)
⏱️ Brand age estimation — combines Wayback Machine first snapshot + crt.sh first SSL cert
🌍 International expansion scan — hreflang languages, currency switcher, country selector detection
⭐ Reviews aggregate — schema.org aggregateRating JSON-LD parsing
🛒 Cart endpoint confirmation

New derived signals:

customer_segment — mass-market / mid-market / premium / luxury (auto-classified by AOV)
marketing_channel_mix — search-driven, social-driven, paid-driven, brand-driven, email-driven, mixed (with %)
dropshipper_risk_score (0-100) + signals — heuristic detection: brand age, velocity, traffic, discounting, dropshipping apps
dropshipper_risk_bucket — low / medium / high
annualized_revenue_usd_est — yearly projection
oldest_product_date — when store first started selling
products_on_sale_pct + avg_discount_pct — discount aggressiveness
vendors_count + top_vendors[] — vendor concentration
product_types_count
total_variants_sampled + variant_in_stock_pct — inventory health
avg_images_per_product — premium brand signal
international_expansion_score (0-100)
estimated_brand_age_years + estimated_founded_year

Tech stack — expanded from 50 to 60+ detectors:

Reviews: added Junip, Reviews.io
Loyalty: added LoyaltyLion, Yotpo Loyalty, Growave
Email/SMS: added SMSBump, Sendlane
Support: added Re:amaze
CRO: added Crazy Egg, Mouseflow, Triple Whale, Northbeam
Logistics: added ShipStation, ShipBob
Dropshipping: added CJ Dropshipping, Spocket
Search: added Algolia, Searchanise

Fixed

classify_marketing_mix no longer crashes on stores with sparse SimilarWeb data (None values in traffic_sources)
Phone number extraction now uses tel: links primarily, avoiding timestamp false positives
SimilarWeb traffic source schema change handled (SearchOrganic/SearchPaid split)

Improved

Better email filtering (drops CDN, Sentry, escaped characters)
Theme name now properly trimmed in output
9-second average per store with default concurrency

[1.2] — 2026-05-20

Added

Initial pricing structure: $10 per 1000 stores
Tech stack detection (50+ Shopify apps)

[1.1] — 2026-05-12

Added

Multi-store batch processing
Parallel HTTP via ThreadPoolExecutor

[1.0] — 2026-05-11

Added

Initial release
4 data sources: /products.json, /collections.json, homepage HTML, SimilarWeb public API
Revenue estimation via visits × CR × AOV formula
Basic tech stack detection
Social links + emails extraction
Shopify meta detection (currency, locale, theme)

WooCommerce Store Analyzer | $10/1K | Plugins, Tech Stack

apivault_labs/woocommerce-store-analyzer

Spy on any WooCommerce store: traffic, estimated revenue, brand age, 70+ plugins detected, tech stack, tracking IDs (GTM/GA4/FB Pixel), dropshipper risk, international expansion, customer segment, marketing mix. 8 public data sources. Pay-per-use $10/1K.

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Shopify Store Discovery - Apps, Revenue Estimate, Tech Stack

seibs.co/shopify-store-discovery

Find Shopify stores by domain list with full intel: 30+ app detection (Klaviyo/Recharge/Yotpo/Gorgias/etc), product count, revenue estimate range, theme, social links. Server-side filter by required/excluded apps + revenue range. For D2C SaaS sales teams.

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🔍 Shopify Store Detector — Theme, Apps & Tech Stack Spy

nexgendata/shopify-store-detector

Reverse-engineer any Shopify store: detect theme, 55+ installed apps (Klaviyo, Judge.me, Yotpo, ReCharge), full tech stack & Shopify plan. BuiltWith alternative at 1/100th the cost. Essential for e-commerce agencies, app developers & competitive research.

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Scrape any Shopify store: full product catalog, prices, variants, images & real best-sellers ranking. Bulk mode — 100+ stores in one run. Sale detection, in-stock status, theme & installed apps (Klaviyo, Yotpo, Gorgias+). No fake revenue — only verified data.

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🛒 Shopify Revenue Estimator — Store Intel

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Estimate any Shopify store's monthly revenue, detect themes, installed apps & traffic sources. SimilarWeb, Semrush & Store Leads alternative for ecommerce strategists, brand investors and competitive due diligence. From $0.008/store analyzed.

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Shopify Scraper - Extract Products, Emails & Tech Stack

leado/shopify-store-scraper

Scrape any Shopify store to extract products, prices, emails, phone numbers, and detect tech stack. Perfect for lead generation and competitor analysis.

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🧩 Shopify Apps Spy + Product Scraper

kazkn/shopify-scraper-apps-spy

Detect which apps any Shopify store has installed (Klaviyo, Recharge, Yotpo, Privy + 30 more). Plus full product catalog & reviews. No login. 5x cheaper.

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🛒 Shopify App Merchant Finder

nexgendata/shopify-app-merchant-finder

Reverse-lookup tool: input an app name (Klaviyo, Recharge, Gorgias, etc.) and get the list of Shopify stores using it plus owner email, phone, and socials. BuiltWith & StoreLeads alternative — pay per result, on-demand discovery.

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Shopify Store Analyzer E-commerce Intelligence Made Simple

alizarin_refrigerator-owner/shopify-store-analyzer-e-commerce-intelligence-made-simple

Analyze Shopify stores to detect installed apps, themes, and marketing technology. Competitive intelligence for e-commerce. App detection - Identify 40+ popular Shopify apps (Klaviyo, Yotpo, ReCharge, etc.) Theme identification Social presence Business signals Product insights

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Shopify Store Scraper

webdatalabs/shopify-store-intelligence

Deep dive into any Shopify store: Extract ALL products, detect installed apps, analyze pricing strategy, estimate sales, identify tech stack, and get complete business intelligence. One-time comprehensive store analysis for competitor research and market intelligence.

WebDataLabs

126

5.0

Shopify Store Analyzer | $10/1K | Revenue, Traffic, Tech Stack

Changelog