Store data fields
Every field BootLeads keeps for a store, in the same groups as the results table and CSV export, with what it means, where it comes from and how many stores have it.
- Observed
- Derived
- Inferred
- Estimated
Store basics
Identity, storefront context and pages. · 8 fields
The store's website address. Each domain is one store.
The ecommerce platform the store runs on. Besides the 6 main platforms, stores on 52 smaller platforms such as OpenCart, Shopware and Cafe24 are recorded under their own name. Custom-built means the store runs storefront software built in-house, or on a platform we don't recognise yet.
Platforms the store used before, with the date it switched.
Whether the store is open or behind a password page.
The store name shown in the browser tab.
The short description the store gives search engines.
The store's permanent myshopify.com address.
Key pages linked from the homepage, such as contact, about, FAQ, shipping and returns.
Geography & classification
Where the store is based and ships to, language, categories and tags. · 7 fields
Where the store is based, not where it sells.
City, state or province, and country the store registered with Shopify.
The main language of the storefront.
Category and subcategory from a taxonomy of 29 categories and 159 subcategories.
Three to five short phrases describing what the store sells.
Business model and traits: Dropshipping, Print on Demand, Cash on Delivery, Shopify Plus, a mobile app, a platform change and Offers Installments.
Countries the store delivers to. Stores that ship everywhere show Worldwide.
Products & pricing
Catalog size, pricing, product recency, vendors and payment methods. · 10 fields
Number of products in the catalog.
Number of product collections.
Average product price, converted to US dollars.
Average product price in the store's own currency.
The currency the store sells in.
When the newest product was added.
Name and link of the newest product.
Brands listed on the store's products.
Product types or catalog categories.
Wallets offered at checkout: Shop Pay, PayPal, Apple Pay, Google Pay and Amazon Pay.
Contact
Email, phone, and WhatsApp details. · 3 fields
Email addresses on the store's own domain, with the page each was found on.
Phone numbers in international format, with the page each was found on.
WhatsApp numbers from chat links and buttons.
Ads & technology
Meta ad activity, installed apps, detected technologies, tracking pixels and theme. · 8 fields
Meta (Facebook and Instagram) ads the store started in the last 30 days.
Start date of the store's most recent Meta ad.
Start date of the earliest Meta ad we have seen for the store.
Facebook pages that ran the store's ads.
Shopify apps running on the store, with recent installs and removals.
Third-party tools running on the store, in 13 categories.
Tracking pixel and analytics IDs: Facebook Pixel, TikTok Pixel, Google Analytics, Google Ads, Pinterest Pixel, Google Tag Manager.
The Shopify theme the store uses.
Core Web Vitals (CrUX)
Monthly origin-level field data across all devices. TTFB is diagnostic and is not a Core Web Vital. · 9 fields
Whether the site passes all three Core Web Vitals (LCP, INP and CLS).
The month the performance data covers.
Largest Contentful Paint for three out of four visits, in milliseconds.
Interaction to Next Paint for three out of four visits, in milliseconds.
Cumulative Layout Shift for three out of four visits.
Time to First Byte for three out of four visits, in milliseconds.
Share of visits with a good Largest Contentful Paint.
Share of visits with a good Interaction to Next Paint.
Share of visits with a good Cumulative Layout Shift.
Dates
Domain registration, first discovery and last update dates. · 3 fields
The date the domain was registered.
When BootLeads first found the store.
When we last checked the store.
More in each store profile
- Change history for product count, total followers and Meta ads
- Shopify apps installed in the last 45 days and removed in the last 90 days
- Technologies removed since the previous check
- The page where each email, phone number and WhatsApp number was found
- Whether the store has an iOS or Android app
Not included
- Revenue, traffic or visit estimates
- Employee counts or named contacts
- Private data or anything behind a login
See which fields you can search on in the filter reference.
Put this data to work
Search the stores behind these numbers, review them and export the fields you need.