Shopify Store Audit & Tech-Stack Lead Scorer avatar

Shopify Store Audit & Tech-Stack Lead Scorer

Pricing

Pay per usage

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Shopify Store Audit & Tech-Stack Lead Scorer

Shopify Store Audit & Tech-Stack Lead Scorer

Audit any Shopify store — installed apps, theme, pricing & catalog signals, and tech-stack gaps. Bulk-score a prospect list and monitor stores for app installs/removals.

Pricing

Pay per usage

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Developer

ByteMe

ByteMe

Maintained by Community

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2

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1

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a day ago

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Pain points

  • You can't tell what apps, theme, or tech a Shopify store runs just by looking at it.
  • Qualifying a list of Shopify prospects by hand — which ones lack your app's category — is slow.
  • Checking back later to see if a store added or dropped an app means re-auditing manually.

What we solve

  • Audit any Shopify store's installed apps, theme, and pricing/catalog signals from its public storefront.
  • Flags the tech-stack gaps (missing app categories) plus a lead-match score against your criteria.
  • Bulk-score a whole prospect list in one run, export-ready for your CRM.
  • Run on a schedule to get alerted when stores install/remove apps or ramp their catalog.

Summary

Turn a list of Shopify store domains into qualified, scored leads. For each store you get the detected apps (reviews, email, search, upsell, loyalty, subscription, chat), theme, and catalog/pricing signals — plus the tech-stack GAPS (which app categories are missing) and a lead-match flag against your criteria. Run it on a schedule and it also reports what changed since last time (apps added/removed, product-count delta) — turning competitor and prospect monitoring into a set-and-forget task. Built for app vendors and agencies prospecting Shopify merchants.

Who it's for

  • Shopify app vendors prospecting merchants who lack their category
  • Agencies doing Shopify lead-gen and tech-stack audits
  • Competitive-intelligence and e-commerce analysts
  • Sales teams enriching a list of Shopify domains

How to use

Set the input, run the actor, and collect results from the run's dataset (export to JSON/CSV/Excel, or pull via the Apify API). Example input:

{
"domains": [
"allbirds.com",
"colourpop.com"
],
"targetGaps": [
"reviews"
],
"compareToPrevious": true
}

See Inputs below for every available field.

What you get

One row per record:

FieldDescription
domainStore domain audited
is_shopifyWhether the domain is a confirmed Shopify store
detected_appsInstalled apps detected from the storefront ({name, category})
app_categoriesCategories of detected apps
missing_categoriesApp categories with NO detected app — the prospecting gaps
matches_criteriaTrue when all your target-gap categories are missing (a lead)
has_reviews_app / has_search_app / …Per-category presence flags (reviews, email, search, upsell, loyalty, subscription, chat)
theme_nameStorefront theme name
product_countProduct count (caps at maxProductsPerStore)
price_min / price_maxVariant price range
currencyStore currency (ISO code)
discount_rateFraction of products with a compare-at markdown
new_products_30dProducts created in the last 30 days (catalog velocity)
shopify_plusBest-effort Shopify Plus signal
products_json_accessibleWhether /products.json was readable (else counts via sitemap)
apps_added / apps_removedApps installed/removed since the previous run (monitoring)
product_count_deltaProduct-count change since the previous run
first_seenTrue on the first run for this domain
source_urlThe store URL

Sample:

{
"domain": "allbirds.com",
"is_shopify": true,
"detection_signals": [
"cdn.shopify.com",
"Shopify.theme"
],
"shopify_plus": false,
"theme_name": "Dawn",
"detected_apps": [
{
"name": "Yotpo",
"category": "reviews"
},
{
"name": "Klaviyo",
"category": "email"
}
],
"app_categories": [
"email",
"reviews"
],
"has_reviews_app": true,
"has_email_app": true,
"has_search_app": false,
"missing_categories": [
"search",
"upsell",
"loyalty",
"subscription",
"chat"
],
"matches_criteria": false,
"product_count": 629,
"price_min": 18.0,
"price_max": 160.0,
"currency": "USD",
"discount_rate": 0.12,
"new_products_30d": 7,
"products_json_accessible": true,
"first_seen": false,
"apps_added": [
"Klaviyo"
],
"apps_removed": [],
"product_count_delta": 12,
"source_url": "https://allbirds.com"
}

Inputs

FieldRequiredTypeDefaultDescription
domainsyesarray["allbirds.com"]Shopify store domains or URLs to audit, e.g. 'allbirds.com'. Paste a list to bulk-audit a prospect list. We audit the domains you provide (we don't discover stores).
targetGapsnoarrayApp categories that should be MISSING for a store to count as a lead — sets 'matches_criteria'. E.g. a reviews-app vendor sets ['reviews']. Categories: reviews, email, search, upsell, loyalty, subscription, chat.
includeProductsnobooleanfalseWhen off (default), return store signals only (fast, cheap — the lead-gen need). Turn on to also include the (slimmed) product catalog.
compareToPreviousnobooleantrueWhen on (default), diff each store against the previous run and report what changed — apps added/removed and product-count delta. Run on a schedule to track stores over time.
maxProductsPerStorenointeger1000Cap on products sampled per store (bounds cost). Product count caps here for very large stores.
proxyConfigurationnoobject{"useApifyProxy": false}Optional. Shopify storefronts are usually reachable directly; enable a proxy (e.g. residential) only if a store is blocked.

Pricing (Pay Per Event)

You pay per result (dataset-item) — no charge for empty runs. Example: 1000 Shopify stores audited at $0.01/result$10.00.

You're only charged for confirmed Shopify stores — non-Shopify or unreachable domains are free. Apify platform usage (compute) is billed separately per your plan.

Use cases

  • App-vendor prospecting — find Shopify stores missing your app's category (e.g. no reviews app) and treat them as warm leads.
  • Agency lead-gen — bulk-audit a prospect list, score by tech-stack gaps and store size, and export to your CRM.
  • Competitor monitoring — run weekly to catch when stores install or remove apps, or ramp their catalog.
  • Domain enrichment — add apps, theme, and catalog signals to stores you already have.

Why this actor

  • Reads the public storefront — no app install and no merchant permission needed.
  • Detects apps + theme AND flags the gaps (missing categories) for warm-lead scoring.
  • Bulk-score a whole domain list in one run; pay per store (non-Shopify domains are free).

Limitations & updates

Storefront (public) data only — never returns real inventory counts, sales, revenue, orders, traffic, or customers (those are Admin-API-only). It audits the domains you provide; it does not discover stores across Shopify. ~10–15% of stores disable /products.json (counts fall back to the sitemap). App detection is best-effort from storefront markers and is kept current via the self-healer. Some stores sit behind bot protection — enable the residential proxy toggle if a run is blocked.

FAQ

How do you detect a store's apps?

From public storefront markers (scripts, theme, DOM signatures). No app install or merchant access is needed.

What can't it see?

Storefront-only data — never real inventory counts, sales, revenue, orders, or traffic (those are Admin-API-only).

How am I charged?

Pay-per-store audited. Non-Shopify or unreachable domains are free.

Can it monitor changes over time?

Yes — run on a schedule and it reports apps added/removed and the product-count delta since the last run.

How accurate is app detection?

Best-effort from storefront markers, kept current via our self-healer; some apps load server-side and can be missed.

Some stores won't load?

A few sit behind bot protection — enable the residential proxy toggle if a run is blocked.