We track over a million Shopify stores so you don't have to guess what works in ecommerce. Built in Vilnius by people who spent a decade collecting web data at scale.
EcomScout started in July 2025 with a simple frustration: serious ecommerce data was locked behind tools charging hundreds of dollars a month, while the "free" alternatives showed numbers nobody could trace. We had spent years building web-scale data collection products for other companies — so we knew the underlying data wasn't hard to get. It was just hard to get honestly, at a fair price, with the methodology written down.
So that's what we built. Today our pipeline monitors over a million Shopify storefronts, detects which of ~10,000 apps each store runs, tracks product catalogs twice a day through our ClickHouse cluster, and cross-references it all with Trustpilot reviews, SpyFu marketing data, and traffic estimates. Every score on this site links back to a published methodology — if you disagree with a number, you can see exactly how we got it.
Browse and analyse 50,000+ Shopify stores ranked by our proprietary EcomScout Rating. Filter by vertical, industry, country, and more.
Discover the most popular Shopify apps ranked by ratings, reviews, category performance, and real install adoption data.
Track trending products across Shopify and Amazon with real-time signals including best-seller exposure, price movements, and growth rates.
Free browser extension that reveals traffic estimates, revenue ranges, tech stack, and competitive insights on any Shopify store you visit.
In-depth analytics reports covering the Shopify market, country-level ecommerce breakdowns, and industry investigations.
AI-powered, personalised business plans to help new entrepreneurs launch a profitable ecommerce store step by step.
Transparency is core to what we do. Below is a detailed breakdown of how we score and rank stores, apps, and trending products. All scores are computed from publicly available data combined with our proprietary models.
Every store in our directory receives a composite score from 0 to 100 based on five weighted dimensions. The score determines a letter grade from S (top tier) to F.
| Dimension | Weight | What It Measures |
|---|---|---|
| Revenue Performance | 40% | Estimated monthly revenue, revenue growth, average order value, and performance relative to vertical benchmarks |
| Traffic & Growth | 23% | Yearly visit volume, traffic growth rate, and estimated conversion rate |
| Customer Trust | 15% | Trustpilot rating and review volume — reflects real customer sentiment |
| Marketing Efficiency | 12% | Ad spend, SEO keyword rankings, organic vs paid traffic balance, and ROI indicators (powered by SpyFu data) |
| Business Quality | 10% | Business model assessment (e.g. brand vs dropshipping), category positioning, and operational indicators |
A sixth dimension — Product Catalog Quality (catalog size, pricing, and product completeness) — is displayed in individual store breakdowns for informational purposes but is not factored into the headline score.
Grades are assigned using fixed score thresholds calibrated against the full distribution of stores in our database:
Store scores are built from a combination of traffic and revenue estimates (from proprietary models and third-party data providers), Trustpilot public reviews, SpyFu marketing data, and product catalog analysis from each store's publicly accessible pages.
Every Shopify app in our leaderboard receives a popularity score computed from five signals:
| Signal | Max Points | How It's Calculated |
|---|---|---|
| Category Rank | 27 | Percentile position within the app's Shopify category — higher rank = more points |
| Install Adoption | 25 | Detected installs across our store corpus (logarithmic scale) — measures real-world usage, not Shopify's public counts |
| User Rating | 22 | Average star rating on the Shopify App Store (out of 5), scaled to points |
| Badges & Recognition | 15 | Built for Shopify (6 pts), Featured (4 pts), Editor's Choice (3 pts), Staff Pick (2 pts) |
| Review Volume | 11 | Total number of reviews (logarithmic scale) — more reviews = more confidence |
Install counts are derived from our own store corpus — we detect which apps each store in our database is running and aggregate those counts per app. This gives a ground-truth adoption metric independent of what's publicly reported.
We track trending products from two separate ecosystems, each with its own scoring model:
Powered by our ClickHouse analytics pipeline, we monitor product-level signals across the stores in our database, aggregated twice daily:
These signals are combined with position multipliers (products in top-5 positions score higher) and growth bonuses (week-over-week improvement) to produce a final trend score.
Amazon trending data is sourced from Amazon Movers & Shakers and Google Trends via SerpAPI. The trend score weighs:
EcomScout combines multiple data sources to provide comprehensive ecommerce intelligence:

Co-Founder · Vilnius, Lithuania
Before starting EcomScout, Germanas spent four years leading product at Oxylabs and Smartproxy — two of the largest web data collection platforms in the world — followed by a year as Head of Product at Geonode. Earlier he built real-time data products at Genius Sports and co-founded Wellbee, a Lithuanian mental-health platform. He currently also serves as CTO of RatePunk, a travel-tech product with millions of users.
That background is the reason EcomScout exists: scraping a million storefronts reliably, deduplicating messy product data, and turning it into scores you can audit is exactly the kind of problem he's worked on for a decade.
Connect on LinkedInIf you are a store owner and would like your store removed from our directory, please contact us at [email protected]. We honour all removal requests promptly — your store will be delisted from public listings, removed from search results, and blocked from API access. See our Terms and Conditions for details.
Have a question, partnership idea, or data request? We'd love to hear from you.