🛍️ Shopify Store Intelligence — Products, Leads, Emails, Tech Stack & Revenue

The all-in-one Shopify scraper — products, leads, tech stack & revenue in one run.

🔑 No API key   🔓 No login   ⚡ 68+ columns/store   📤 JSON · CSV · Excel   🔔 Monitoring built-in

Turn any Shopify store URL — or a whole niche — into clean, structured data: the full product catalog with prices, store leads (emails, phone, social links), tech stack & marketing pixels, a revenue / store-size estimate, brand signals, and new-product / restock / price-change monitoring. One actor replaces three or four separate tools.

💡 Built for dropshippers, DTC brands, e-commerce agencies, sales teams and market researchers who need reliable Shopify data — without paying for a $29–$99/mo SaaS.

⚡ Quick start

1. Paste one or more store URLs (or switch to discover mode and type a niche).
2. Click Start.
3. Download your data as JSON, CSV or Excel — or pull it via API.

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🆚 Why this actor?

	Single-purpose scrapers	🛍️ Shopify Store Intelligence
Full product catalog & prices	✅	✅
Store emails, phone & socials	❌ (separate tool)	✅
Tech stack + tracking pixels	❌	✅
Revenue / store-size estimate	❌	✅
Dropshipper-risk & brand signals	❌	✅
New-product / restock / price monitoring	❌	✅
Tools you need	3–4	Just 1

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✨ What you get (68+ data columns per store)

Category	Fields
🛍️ Products	title, handle, URL, vendor, product type, tags, price, compare-at price, variants, SKU, stock/availability, images, created/updated dates
📦 Collections	collection names, product counts, top collections
📊 Catalog analytics	min/max/avg price, total catalog value, on-sale count & ratio, avg & max discount %, vendor list, product-type breakdown, top tags, total SKUs/variants/images
📧 Leads / contact	best outreach email, all emails (by role: sales/support/press/info), phone, address, Instagram, Facebook, TikTok + every social link
🔧 Tech stack	installed apps, review platform (Judge.me / Loox / Yotpo), payment providers (Shop Pay, PayPal, Klarna, Apple/Google Pay), tracking pixels + IDs (GA4, GTM, Meta Pixel, TikTok, Pinterest, Google Ads, Klaviyo, Hotjar)
📈 Brand signals	brand age, oldest/newest product, new products in last 30 days, sold-out ratio, dropshipper-risk score
💰 Revenue estimate	store-size tier (micro/small/mid/large) + heuristic monthly-revenue estimate (clearly labelled — catalog-based, not real sales)
🔔 Monitoring	new products, restocks and price changes vs the previous run (schedule it to track competitors 24/7)
🌍 Store meta	shop name, myshopify domain, currency, country, language, theme, blog, gift cards

Every field comes from Shopify's own public endpoints (/products.json, /collections.json, storefront HTML, schema.org data) — so it's fast, stable and needs no keys.

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🚀 Input example

Just paste store URLs and run:

{
  "mode": "domains",
  "domains": ["gymshark.com", "allbirds.com", "deathwishcoffee.com"],
  "maxProductsPerStore": 1000,
  "outputMode": "store",
  "extractProducts": true,
  "extractCollections": true,
  "extractContact": true,
  "extractTechStack": true,
  "extractBrandSignals": true,
  "extractRevenueEstimate": true,
  "trackChanges": false
}

Export a flat product catalog (one row per product) — set "outputMode": "product".

Monitor a competitor 24/7 — set "trackChanges": true and schedule the run daily; each run reports new products, restocks and price changes.

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📤 Output example (one row per store)

{
  "shop_name": "Allbirds",
  "store_url": "https://www.allbirds.com",
  "myshopify_domain": "weareallbirds.myshopify.com",
  "currency": "USD",
  "product_count": 291,
  "collection_count": 118,
  "avg_price": 69.66,
  "on_sale_count": 42,
  "avg_discount_pct": 31.4,
  "email": "bulkorders@allbirds.com",
  "instagram": "https://www.instagram.com/allbirds",
  "tech_apps": ["Google Tag Manager", "Yotpo Reviews"],
  "review_platform": "Yotpo Reviews",
  "payment_providers": ["Amazon Pay", "Apple Pay", "Google Pay", "PayPal", "Shop Pay"],
  "brand_age_days": 2817,
  "dropshipper_risk": "low",
  "store_size_tier": "small",
  "monthly_revenue_estimate_usd": 13897,
  "products": [ ... ],
  "collections": [ ... ]
}

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💡 Use cases

• Dropshipping & product research — find winning products, prices, variants and best-sellers across any store.
• B2B lead generation — build lists of Shopify store owners with verified emails, phones and socials for cold outreach.
• Competitor & price monitoring — track a rival's catalog, restocks and price changes automatically.
• Agency prospecting — spot stores by tech stack (e.g. "stores using Klaviyo but no reviews app") to pitch your services.
• Market research & sourcing — analyze a niche: average price, discount depth, brand age, revenue tiers.
• Feed AI / RAG pipelines — clean JSON of store + product data for LLM apps, CRMs and automations (Make, n8n, Zapier).

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❓ FAQ

Do I need a Shopify API key? No. Everything uses public store endpoints.

Does it work on any Shopify store? Yes — any store on Shopify. Non-Shopify sites return is_shopify: false.

Is the revenue number real sales data? No. Shopify never exposes sales. It's a transparent, catalog-based estimate with the method shown, so you can treat it as directional.

Is a proxy required? No for most stores. Enable Apify Proxy for very large runs.

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One actor for the whole Shopify workflow: find → analyze → enrich → monitor. Products, leads, tech stack and revenue in a single run.