Shopify Store Scraper

Extract complete product data from any Shopify store — prices, variants, inventory, reviews, collections, currency, and more. Works on any store powered by Shopify including custom domains. No browser required. Fast, cheap, and reliable.

New: Monitor mode. Run on a schedule and get only what changed since the last run — price_drop, back_in_stock, out_of_stock, price_increase, new, updated, and removed products, each with the previous price attached. Perfect for competitor price alerts and restock notifications, and you only pay for actual changes.

Features

• Scrapes any Shopify store by URL — no template or configuration needed
• Monitor mode — price/stock change detection across runs with typed change_type deltas
• Extracts full product catalog with descriptions, variants, images, and tags
• Store metadata — store name, currency, country auto-detected per store
• Price range — min_price and max_price across all variants
• Discount percentage calculated automatically from compare-at price
• Product timestamps — created_at, updated_at, published_at
• Reviews — auto-detects and scrapes from Judge.me, Yotpo, Stamped.io, Okendo, and Loox
• Average rating computed from fetched reviews
• Collections/categories — scrapes store collection hierarchy
• Filters — only available products, minimum discount %, created after date
• Option to output each variant as a separate row (great for price sheets)
• Handles pagination — scrapes the full catalog regardless of size
• No browser, no credentials required
• Pay Per Event pricing — you only pay per product scraped

Use cases

• Price-drop alerts — schedule daily monitor runs with changeTypes: ["price_drop"] and get a feed of every competitor price cut, with old and new price
• Restock notifications — changeTypes: ["back_in_stock"] on high-demand products
• Price monitoring — track competitor prices and sale discounts across Shopify stores
• Dropshipping research — products, reviews, and availability in one run
• Market research — analyze catalogs, categories, pricing trends, and review sentiment
• New-product tracking — changeTypes: ["new"] to see every product a competitor launches
• Discount hunting — filter to only products on sale above a threshold

Input

Field	Type	Required	Description
storeUrls	Array of strings	Yes	Shopify store URLs (e.g. https://allbirds.com)
maxProductsPerStore	Integer	No	Max products per store (default: unlimited)
includeVariants	Boolean	No	Output each variant as a separate row (default: false)
scrapeReviews	Boolean	No	Fetch product reviews (default: false)
maxReviewsPerProduct	Integer	No	Max reviews per product (default: 50, max: 1000)
scrapeCollections	Boolean	No	Scrape store collections/categories (default: false)
onlyAvailable	Boolean	No	Skip products where all variants are out of stock (default: false)
minDiscount	Integer	No	Only return products discounted by at least this % (1–99)
createdAfter	String	No	Only return products created after this date (YYYY-MM-DD)
monitorMode	Boolean	No	Only output changes since the last run (default: false)
snapshotKey	String	No	State namespace for monitor mode (default: "default")
changeTypes	Array	No	In monitor mode, only output these change types (empty = all)
proxyConfig	Object	No	Proxy settings (datacenter proxies work fine)

Output — Products

{
  "record_type": "product",
  "store_url": "https://allbirds.com",
  "store_name": "Allbirds",
  "currency": "USD",
  "product_id": 1234567890,
  "title": "Tree Runner",
  "handle": "tree-runner",
  "vendor": "Allbirds",
  "product_type": "Footwear",
  "description": "Made from eucalyptus tree fiber...",
  "tags": ["sustainable", "running"],
  "price": "98.00",
  "compare_at_price": "135.00",
  "discount_percentage": 27,
  "min_price": "78.00",
  "max_price": "118.00",
  "available": true,
  "variants_count": 8,
  "images": ["https://cdn.shopify.com/..."],
  "product_url": "https://allbirds.com/products/tree-runner",
  "created_at": "2023-01-15T08:00:00-05:00",
  "updated_at": "2026-06-01T12:00:00-05:00",
  "published_at": "2023-01-15T10:00:00-05:00",
  "reviews": [
    {
      "platform": "judgeme",
      "author": "Jane D.",
      "rating": 5,
      "title": "Best shoes I've ever owned",
      "body": "Super comfortable right out of the box...",
      "date": "2026-05-01T00:00:00Z",
      "verified": true,
      "helpful_votes": 12,
      "photos": []
    }
  ],
  "review_count": 1,
  "average_rating": 4.8,
  "scraped_at": "2026-06-26T10:00:00.000Z"
}

With includeVariants: true

Each variant becomes its own row with all product fields plus:

{
  "variant_id": 9876543210,
  "variant_title": "US 10 / Gray",
  "sku": "TR-US10-GRY",
  "price": "98.00",
  "compare_at_price": "135.00",
  "discount_percentage": 27,
  "available": true,
  "inventory_quantity": 14
}

Monitor mode

Set monitorMode: true and run the actor on a schedule. The first run snapshots the catalog and outputs every product as change_type: "new"; each later run outputs only products that changed, with one of:

change_type	Meaning
new	Product/variant appeared since the last run
price_drop	Price is lower than the last run (previous_price included)
price_increase	Price is higher than the last run (previous_price included)
back_in_stock	Was unavailable, now available
out_of_stock	Was available, now sold out
updated	Other catalog change (title, vendor, compare-at price, …)
removed	Product/variant disappeared from the store (last-known data is output)

Changed records additionally carry previous_price and previous_available. Use changeTypes to narrow the feed — e.g. ["price_drop"] for a pure price-drop alert stream. Snapshots are stored per store and per snapshotKey, so separate watchlists don't interfere. If a store's crawl fails mid-run, its snapshot is left untouched rather than emitting false removed records.

Example price-drop alert input:

{
  "storeUrls": ["https://competitor-one.com", "https://competitor-two.com"],
  "monitorMode": true,
  "changeTypes": ["price_drop", "back_in_stock"],
  "snapshotKey": "competitors"
}

Note: in monitor mode, collections are not output and per-run filters (onlyAvailable, minDiscount) define the watched set — a product that stops matching the filters is reported as removed.

Output — Collections (when scrapeCollections: true)

{
  "record_type": "collection",
  "store_url": "https://allbirds.com",
  "collection_id": 987654321,
  "title": "Men's Shoes",
  "handle": "mens-shoes",
  "description": "Shop all men's shoes...",
  "image_url": "https://cdn.shopify.com/...",
  "products_count": 24,
  "collection_url": "https://allbirds.com/collections/mens-shoes"
}

Supported review platforms

Platform	Detection
Judge.me	Auto-detected from page source
Yotpo	Auto-detected, extracts public app key
Stamped.io	Auto-detected, extracts public API key
Okendo	Auto-detected, extracts subscriber ID
Loox	Auto-detected from page source

How it works

Uses Shopify's public /products.json and /collections.json endpoints — available on every Shopify store without credentials. Paginates with limit=250 until the full catalog is retrieved. Store currency and name are auto-detected via /shop.json (with an HTML fallback for stores that block it). Reviews are fetched from the platform's public CDN API after detecting which review app the store uses.