Shopify Store Scraper 🛍️ Products, Collections, Reviews & Emails

Free plan limit: Free-plan users can receive up to 5 result records per run. Paid-plan and local/unknown runs retain the Actor's existing limits.

Extract complete product catalogs, collections, customer reviews, merchant contact info, and tech-stack intelligence from any Shopify store — no API key, no login, no browser automation required. Just enter a store domain and get clean, CRM-ready structured JSON.

Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.

What It Extracts

🛒 Products (one record per product)

• Title, handle, brand/vendor, category, tags, description — full product metadata
• Pricing: current price, original (compare-at) price, min/max variant price, discount percentage
• Up to 250 variants per product: SKU, barcode, price, availability, inventory quantity, weight, shipping flag, and options (Size, Color, etc.)
• Images: all image URLs, main image, image count, and alt texts for SEO analysis
• Reviews summary: aggregate rating, review count, review source, detected review platform
• Sales estimates: conservative monthly sales derived from review volume
• Availability flags: available, fully_out_of_stock, requires_shipping
• Timestamps: published_at, created_at, updated_at + scraped_at and source_url for traceability

📂 Collections (one record per collection)

• Collection title, handle, description, product count, hero image, and canonical collection URL
• Useful for understanding store taxonomy and category structure

⭐ Customer Reviews (one record per review)

• Reviewer name, star rating, review title, full review body, submission date
• Verified-buyer flag and helpful votes where available
• Auto-detects review platforms: Judge.me, Yotpo, Loox, Stamped, Okendo, Reviews.io, and JSON-LD
• Falls back to JSON-LD structured reviews when no widget is detected

📧 Merchant Contact Info (one record per store)

• Business email and phone number — high-value for B2B lead generation
• Physical address, store currency, and language
• Social media links: Facebook, Instagram, Twitter/X, TikTok, YouTube, Pinterest
• Contact page URL

🏪 Store Intelligence (one record per store)

• Installed app detection: Klaviyo, Mailchimp, Privy, ReCharge, Smile.io, Gorgias, Hotjar, Google Analytics, Facebook Pixel, TikTok Pixel, and 40+ more
• Apps grouped by category: Email Marketing, SMS, Reviews, Subscriptions, Loyalty, Analytics, Customer Service, Page Builder, Upsell, Search, etc.
• Theme metadata: theme name, version, and ID
• Shop name, currency, language, country, and domain

Input Modes

URL Mode (default) — scrape known stores

Use this when you already know the Shopify stores to scrape:

{
  "mode": "url",
  "storeUrls": [{ "url": "https://www.allbirds.com" }],
  "maxProducts": 100,
  "includeReviews": true,
  "scrapeCollections": true,
  "scrapeContactInfo": true,
  "scrapeTechStack": true
}

Discovery Mode — find stores by category first

Use this when you want to discover Shopify stores by niche, then scrape them:

{
  "mode": "discovery",
  "category": "fashion",
  "maxStores": 25,
  "maxPages": 3,
  "maxProducts": 50
}

Use Cases

• Competitor price monitoring: track pricing changes, discounts, and sold-out products across rival Shopify stores
• Dropshipping product research: identify trending products, price points, and inventory levels
• B2B lead generation: collect merchant emails, phone numbers, and social links for sales outreach — the highest-ROI use case
• Market research: analyze full product catalogs for pricing, category structures, and brand positioning
• Review sentiment analysis: extract individual customer reviews for NLP and product-improvement insights
• Tech-stack prospecting: detect which apps and themes a store uses — perfect for agency sales and app developers
• Price comparison: aggregate product data from multiple Shopify stores for comparison engines
• Catalog monitoring: detect new products and stock changes by comparing runs over time

Pricing

This Actor uses pay-per-event pricing. These are the current Apify Store event prices:

Event	Price (USD)	When it is charged
product-scraped	$0.01	Product Scraped — One Shopify product extracted with pricing, variants, images, review signals, and sales estimate fields.
apify-actor-start	$0.001	Actor Start — Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). — Charged once per run.

Platform usage is currently billed separately by Apify for this Actor run. A scheduled change takes effect on 2026-10-01; from then, platform usage is included alongside the event prices above, with no separate per-run platform-usage fee passed to users.

This covers Apify platform usage for this Actor run. Other Apify products or usage outside this Actor run may still follow your account plan.

Scheduled event prices from 2026-10-01:

Event	Price (USD)	When it is charged
product-scraped	FREE: $0.01; BRONZE: $0.009; SILVER: $0.008; GOLD: $0.007; PLATINUM: $0.007; DIAMOND: $0.007	Product Scraped — One Shopify product extracted with pricing, variants, images, review signals, and sales estimate fields.
apify-actor-start	$0.005	Actor Start — Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). — Charged once per run.

Output

Each dataset item is a stable, MCP-friendly JSON object discriminated by recordType. Example product record:

{
  "recordType": "product",
  "store_url": "https://www.allbirds.com",
  "product_id": "101",
  "title": "Tree Runner",
  "brand": "Allbirds",
  "category": "Shoes",
  "current_price": 95,
  "original_price": 120,
  "discount_percentage": 21,
  "available": true,
  "fully_out_of_stock": false,
  "requires_shipping": true,
  "variant_count": 12,
  "options": ["Size", "Color"],
  "variants": [{ "variant_id": "201", "sku": "TR-8-GRN", "price": 95, "available": true }],
  "image_count": 8,
  "main_image": "https://cdn.shopify.com/...",
  "rating": 4.7,
  "review_count": 321,
  "review_platform": "judge.me",
  "estimated_monthly_sales": 8025,
  "currency": "USD",
  "product_url": "https://www.allbirds.com/products/tree-runner",
  "scraped_at": "2026-07-08T12:00:00.000Z",
  "source_url": "https://www.allbirds.com/products.json?limit=250&page=1"
}

Example contact record:

{
  "recordType": "contact",
  "store_url": "https://www.allbirds.com",
  "merchant_name": "Allbirds",
  "merchant_email": "hello@allbirds.com",
  "merchant_phone": "+1-800-555-1234",
  "social_facebook": "https://facebook.com/allbirds",
  "social_instagram": "https://instagram.com/allbirds",
  "social_tiktok": "https://tiktok.com/@allbirds",
  "contact_page_url": "https://www.allbirds.com/contact",
  "scraped_at": "2026-07-08T12:00:00.000Z"
}

How It Works

The actor scrapes Shopify's public storefront JSON endpoints (/products.json, /collections.json) and product pages — no API keys, no login, no browser automation. This makes it fast, reliable, and cheap to run.

1. Products: paginates through /products.json (250 per page) until the catalog is exhausted or maxProducts is reached
2. Reviews: fetches each product page, reads JSON-LD aggregate ratings, and auto-detects review widgets (Judge.me, Yotpo, Loox, etc.) for individual review extraction
3. Collections: paginates through /collections.json for category metadata
4. Contact & Tech Stack: fetches the store homepage once, extracts merchant info and detects 45+ installed apps from script/CDN signatures

All extraction is best-effort — if a store disables public endpoints or a review widget isn't detected, the actor still returns whatever data is available without crashing.

Development

npm install
npm test
npm run build
npm run validate:schema
apify run

Limitations

• Password-protected stores or stores that disable public /products.json endpoints may return zero products — this is a Shopify storefront setting, not a scraper limitation
• Review extraction depends on the review widget rendering in the HTML — some platforms load reviews via JavaScript after page load and may not appear in the static HTML
• Sales estimates are conservative heuristics based on review volume, NOT verified revenue data
• App detection is based on script/CDN signatures — apps that load lazily or via server-side rendering may not be detected

Changelog

• v1.1 — Added collections, individual reviews, merchant contact info, tech-stack/app detection, multi-record-type output, MCP-optimized schemas
• v1.0 — Initial release: product catalog scraping with review summaries and sales estimates