Status
Fixed listWhether the storefront is live or password-protected.
Examples: Active, Password.
StoreIndex is the most accurate database of active Shopify stores. This page documents where the data comes from and every filter you can use to build a targeted list.
Combine any of the filters below to segment the database. Lists such as installed apps, themes and product categories contain thousands of searchable values; a sample is shown for each.
Whether the storefront is live or password-protected.
Examples: Active, Password.
How the store is hosted: a custom top domain, a subdomain, or a platform (myshopify) domain.
Examples: Top, Sub, Platform.
The date StoreIndex first discovered the store. Use it to find newly launched stores.
Examples: Filter by first-detected date range.
How actively the store adds, removes, or edits its catalog — a signal of an operating, growing store.
Examples: High, Medium, Low, Very low, Unknown.
The store’s country of operation.
Examples: United States, United Kingdom, Germany, France, Canada, Australia. 240+ countries and territories supported.
Filter stores by the Shopify apps they currently have installed (technographics).
Examples: Klaviyo: Email Marketing & SMS, Judge.me Product Reviews, Recharge Subscriptions, Loox, Vitals, Gorgias. 8,000+ Shopify apps tracked.
How many apps the store runs — a proxy for store maturity and budget.
Examples: 0, 1, 2, 3..5, 6..10, 11...
Stores that added a specific app recently — catch buying intent and tech adoption.
Examples: Any of the 8,000+ tracked apps, filtered to recent installs. 8,000+ Shopify apps tracked.
Stores that just removed a specific app — ideal for competitive win-back outreach.
Examples: Any of the 8,000+ tracked apps, filtered to recent removals. 8,000+ Shopify apps tracked.
The Shopify theme the store runs.
Examples: Dawn, Debutify, Booster, Impulse, Prestige, Shrine. 3,000+ themes detected.
High-level business model flags inferred from the store’s stack.
Examples: Dropshipping app, Print on demand app, Point of sale, Shopify plus.
Top-level product vertical, based on the Google product taxonomy.
Examples: Apparel & Accessories, Health & Beauty, Home & Garden, Electronics, Food, Beverages & Tobacco, Toys & Games. 25+ top-level verticals.
Fine-grained product category (full Google product taxonomy, including sub-categories).
Examples: Apparel & Accessories / Clothing / Dresses, Health & Beauty / Personal Care / Cosmetics, Electronics / Audio. Thousands of leaf categories.
Number of products currently published in the store.
Examples: 0, 1, 2..5, 6..15, 51..100, 501..1000, 5001..10000, 25001...
Number of product collections the store maintains.
Examples: 0, 1, 2..5, 6..10, 11..25, 26..100, 101...
The store’s primary checkout currency.
Examples: USD, EUR, GBP, AUD, CAD, JPY. 150+ currencies supported.
Countries the store ships to.
Examples: US, GB, DE, FR, CA, AU. 240+ countries and territories.
The primary language of the storefront.
Examples: en, de, fr, es, it, pt, nl, ja. 80+ languages supported.
Estimated size of the business behind the store.
Examples: Very small, Small, Medium, Big, Unknown.
Filter for stores that expose a given contact method or social profile.
Examples: Email, Validated email, Phone, Address, Instagram, Facebook, TikTok, LinkedIn, Pinterest, YouTube, Twitter, Snapchat.
Country dialing code of the store’s public phone number.
Examples: 1, 44, 49, 33, 61, 7. 200+ dialing codes.
Ready to query the full database with these filters?
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