Pricing

from $7.00 / 1,000 store analyzeds

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Shopify Store Analyzer | Revenue, Traffic & Apps

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Analyze or discover Shopify stores for competitor research and lead generation. Get revenue and traffic estimates, products, best sellers, apps, contacts, ads, store health, opportunities and change tracking. $4–15 per 1,000 results by Apify plan.

Pricing

from $7.00 / 1,000 store analyzeds

Rating

5.0

(2)

Developer

Apivault Labs

Actor stats

Bookmarked

332

Total users

Monthly active users

2 days ago

Last modified

Categories

E-commerce

Lead generation

Sample price currency

price_currency

Optional

Currency of the actual price-bearing source, not assumed from the input country.

Type:string

Catalog source

catalog_source

Optional

Actual source used for collected product prices.

Type:string

Full catalog collected

catalog_complete

Optional

False for bounded samples and marketplace fallback. Product monitoring requires complete comparable snapshots.

Type:boolean

Sample scope

catalog_sample_basis

Optional

Explains alternate-source sample limitations.

Type:string

Verified store-matched product sample

sampled_products

Optional

Public price-bearing product sample; not verified best sellers or complete variant/stock data.

Type:object[]

Store name

name

Optional

Discovered store name (Discover modes).

Type:string

Example:

Bones Coffee Company

Store URL

url

Optional

Discovered store homepage (Discover modes).

Type:string

Example:

https://www.bonescoffee.com

myshopify domain

myshopify_domain

Optional

The store's xxxx.myshopify.com domain.

Type:string

Example:

bones-coffee-company.myshopify.com

Country

country

Optional

Store business-address country (when published).

Type:string

Example:

City

city

Optional

Store business-address city (when published).

Type:string

Data quality

data_quality

Optional

Per-enrichment availability. A partial result remains successful when an optional source is unavailable.

Type:object

Found via

search_term

Optional

The search term this store was discovered with.

Type:string

Discovery source

discovered_via

Optional

How the store was discovered.

Type:string

Example:

public-marketplace

Matched apps

matched_apps

Optional

In reverse app lookup, the required app(s) this store was confirmed to use.

Type:string[]

Similar to

similar_to

Optional

In find-similar mode, the seed store this one is a competitor of.

Type:string

Example:

allbirds.com

Store domain

domain

Optional

The Shopify store's domain name.

Type:string

Example:

allbirds.com

Store summary

store_summary

Optional

One-line human/LLM-readable summary: segment, niche, est. revenue, maturity, key apps, ads.

Type:string

Example:

mid-market apparel & fashion; ~$200K/mo est. revenue; established maturity; uses Klaviyo, Yotpo; running ads (Meta).

Target markets

markets

Optional

Distinct country markets (ISO codes) the store localizes for, from hreflang tags.

Type:string[]

Is Shopify

is_shopify

Optional

Quick-check mode: whether the URL is a Shopify store.

Type:boolean

Platform

platform

Optional

Quick-check mode: detected e-commerce platform.

Type:string

Example:

Shopify

Analysis scope

analysis_scope

Optional

Full Shopify analysis or a basic website profile when the URL is not a Shopify store.

Type:string

Result notice

notice

Optional

Explains why Shopify-only fields are not applicable to this result.

Type:string

Website reachable

reachable

Optional

Type:boolean

Homepage HTTP status

http_status

Optional

Type:number

Policy details

policy_details

Optional

Returns window (days), free-returns and free-shipping signals from the store's policy pages (when enabled).

Type:object

Shopify handle

myshopify_handle

Optional

The store's xxxx.myshopify.com subdomain.

Type:string

Example:

weareallbirds.myshopify.com

Currency

currency

Optional

Active store currency (3-letter code).

Type:string

Example:

USD

Shopify theme

theme_name

Optional

Name of the Shopify theme used.

Type:string

Example:

Dawn 13.0.0

Products sampled

product_count_sampled

Optional

Number of products fetched from the catalog for analysis.

Type:number

Example:

250

Catalog accessible

catalog_accessible

Optional

False when the store is confirmed Shopify but its product catalog (/products.json) is hidden or rate-limited — homepage-derived signals are still returned.

Type:boolean

Estimated AOV ($)

avg_order_value

Optional

Estimated average order value: median price multiplied by 1.5 items per order.

Type:number

Example:

58.5

Products on sale (%)

products_on_sale_pct

Optional

Percentage of products currently on sale.

Type:number

Example:

24.5

Tech stack

tech_stack

Optional

Apps detected on the store homepage.

Type:string[]

Example:

[
  "Klaviyo",
  "Yotpo",
  "Gorgias",
  "Shop Pay"
]

Social handles

socials

Optional

Social media usernames extracted from homepage links.

Type:object

Example:

{
  "instagram": "allbirds",
  "tiktok": "weareallbirds"
}

Brand age (years)

estimated_brand_age_years

Optional

Estimated years since the brand started, based on Wayback Machine and SSL cert history.

Type:number

Example:

10.4

Estimated founding year

estimated_founded_year

Optional

Year the brand likely started online.

Type:number

Example:

2015

International expansion score (0-100)

international_expansion_score

Optional

Combined score from hreflangs, currency switcher and country selector.

Type:number

Example:

Customer segment

customer_segment

Optional

Auto-classified by AOV: mass-market / mid-market / premium / luxury.

Type:string

Example:

mid-market

Options:

mass-marketmid-marketpremiumluxuryunknown

Marketing channel mix

marketing_channel_mix

Optional

Primary acquisition channel based on traffic sources.

Type:string

Example:

search-driven (58%)

Dropshipper risk score (0-100)

dropshipper_risk_score

Optional

Heuristic score combining brand age, product velocity, traffic, discounting and dropshipping app detection.

Type:number

Example:

Dropshipper risk bucket

dropshipper_risk_bucket

Optional

Risk classification.

Type:string

Example:

medium

Options:

lowmediumhigh

Traffic data

traffic

Optional

SimilarWeb metrics: monthly visits, ranks, sources, top countries, keywords.

Type:object

Revenue estimate

revenue_estimate

Optional

Monthly orders, monthly revenue, annualized revenue.

Type:object

Best sellers

best_sellers

Optional

Likely best-selling products, ranked. Sourced from a merchant-curated best-seller / trending collection when one exists, otherwise from catalog signals.

Type:object[]

Top product types

top_product_types

Optional

Most common product types in the catalog with counts.

Type:object[]

Best-seller basis

best_sellers_basis

Optional

How the best-seller list was derived.

Type:string

Example:

store-curated collection

Options:

store-curated collectioncatalog heuristic

Best contact email

best_email

Optional

The single most outreach-useful public email (a real person / sales inbox preferred over generic or noreply addresses).

Type:string

Example:

hello@allbirds.com

Email roles

email_roles

Optional

Each public email tagged by role (owner / sales / marketing / support / info / personal / noreply).

Type:object

Ad intelligence

ad_intelligence

Optional

Paid-acquisition footprint: which ad platforms the store is set up to advertise on (Meta / TikTok / Google Ads / Pinterest / Snapchat) plus a direct Meta Ad Library lookup link to the brand's live ads.

Type:object

Changes since last run

changes

Optional

What changed for this store since you last analyzed it: new/removed products, traffic & revenue moves, apps added/removed, new tracking pixels, promo launches. Empty on the first run for a store.

Type:object

Store health score (0-100)

store_health_score

Optional

Composite of traffic, revenue, product velocity, tech sophistication, international reach and social proof. Higher = more established/successful store.

Type:number

Example:

Store maturity tier

store_health_tier

Optional

Maturity bucket derived from the health score.

Type:string

Example:

established

Options:

emerginggrowingestablishedenterprise

Upsell opportunities (missing app categories)

upsell_opportunities

Optional

High-value app categories the store has NO solution for (reviews / email_sms / loyalty / subscriptions / helpdesk / page_builder / upsell_cro / analytics_attribution). A ready pitch list for Shopify app vendors and agencies.

Type:string[]

App categories present

app_categories_present

Optional

App capability categories the store already has covered.

Type:string[]

Primary niche

primary_niche

Optional

Best-effort product niche classification from tags and store copy.

Type:string

Example:

beauty & cosmetics

Lead score (0-100)

lead_score

Optional

How actionable the store is as a sales lead: contactability (best email + role, phone, socials), store quality and upsell gaps.

Type:number

Example:

Opportunity score (0-100)

opportunity_score

Optional

How attractive the store is as a sales target: established + has app gaps to fill + growing + reachable + has budget.

Type:number

Example:

Opportunity bucket

opportunity_bucket

Optional

Opportunity tier.

Type:string

Example:

high

Options:

lowmediumhigh

Pitch angles

pitch_angles

Optional

Concrete sales angles derived from the store's gaps and weaknesses (e.g. no reviews app, missing meta description, heavy discounting).

Type:string[]

Lead score bucket

lead_score_bucket

Optional

Lead temperature.

Type:string

Example:

warm

Options:

coldwarmhot

Payment methods

payment_methods

Optional

Payment & checkout methods detected (Shop Pay, Apple Pay, Google Pay, PayPal, Klarna, Afterpay, Affirm, Sezzle).

Type:string[]

Buy-now-pay-later offered

bnpl_offered

Optional

Whether the store offers a BNPL option (Klarna / Afterpay / Affirm / Sezzle).

Type:boolean

Express checkout enabled

express_checkout

Optional

Whether an accelerated checkout is available (Shop Pay / Apple Pay / Google Pay / PayPal).

Type:boolean

Tech stack (categorized)

tech_stack_categorized

Optional

Detected apps grouped into readable categories: reviews, email_sms, loyalty_subscriptions, support, page_builder_cro, logistics, dropshipping, analytics_pixels, payments, search.

Type:object

Price distribution

price_distribution

Optional

Count of sampled products in price bands: under_25, 25_to_50, 50_to_100, 100_to_250, over_250.

Type:object

Content marketing

content_marketing

Optional

Whether the store runs a blog and how many posts it has (content-marketing maturity).

Type:object

Page title

page_title

Optional

Homepage tag (SEO).

Type:string

Example:

Allbirds: Wool & Tree Shoes, Clothing & More

Meta description present

meta_description_present

Optional

Whether the homepage has a meta description (SEO hygiene).

Type:boolean

Structured data present

has_structured_data

Optional

Whether the homepage includes JSON-LD structured data (SEO).

Type:boolean

Growth signals

growth_signals

Optional

Momentum flags: product velocity, young brand, paid ads, aggressive discounting, international expansion, traffic growth.

Type:string[]

Is scaling

is_scaling

Optional

True when two or more growth signals are present — a store that appears to be actively scaling.

Type:boolean

Store policies

policies_detected

Optional

Policy pages linked on the store (refund, shipping, privacy, terms) — a trust / maturity signal.

Type:string[]

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