Shopify Store Intel — Prime Sieve

Batch-scrape any Shopify storefront and get full product data PLUS store-level analytics in one run.

Built by Prime Sieve. Uses Shopify's public /products.json endpoint — no login, no API key, no browser.

What you get

Paste store URLs (or search via other actors), get:

Per-product rows (one per variant):

• title, handle, product URL
• price, compare_at_price, on_sale flag
• variant title, SKU, availability
• product type, vendor, tags, image URL, created/updated timestamps

Store-level summary row (one per store):

• product count, median/min/max price
• on-sale ratio (dropshippers: what fraction is discounted)
• available-stock ratio
• top 10 product types, top 15 tags, top vendors
• newest arrivals (top 5 by created date)
• contact emails (optional, from homepage)
• scrapedAt timestamp

Pricing

$2.00 per 1,000 results — pay per result, no subscriptions.

	Prime Sieve (this)	logie/shopify-products-scraper	parsebird/shopify-store-leads
Price	$2.00 / 1K	$5/mo + usage	$2.70 / 1K
Batch store URLs	✅	✅	❌ (keyword discovery)
Store-level rollup analytics	✅	❌	partial
on-sale / compare-at detection	✅	❌	❌
Maintenance	active	2 yrs stale	active

Pure products.json scrapers on the Store (khadinakbar, bluefin, ef12, ezzatox) are stale and unmaintained (~2 users each). This ships the same core data plus analytics the raw scrapers don't.

Use cases

1. Dropshipping/competitive intel — dump a competitor's catalog, see price bands, discount strategy, and what tags/types they push
2. Supplier research — feed store URLs from a keyword-Search actor, extract prices + contact emails for outreach
3. Market analysis — track median price, on-sale ratio, and top types across a niche of Shopify stores
4. E-commerce monitoring — schedule runs, diff on_sale and price over time

Input

{
  "storeUrls": ["https://gymshark.com", "https://allbirds.com"],
  "maxProductsPerStore": 0,
  "includeStoreSummary": true,
  "extractEmails": false
}

All fields except storeUrls are optional. maxProductsPerStore: 0 = fetch all pages. Up to 250 products per request, auto-paginated.

Output sample (product row)

{
  "_type": "product",
  "shop": "https://gymshark.com",
  "title": "Gymshark Boxer Brief 5PK",
  "handle": "gymshark-boxer-brief-5pk",
  "product_type": "Mens>Apparel>Underwear",
  "price": 35,
  "compare_at_price": 45,
  "on_sale": true,
  "available": true,
  "sku": "GLSB5PK-XS",
  "tags": ["size:xs", "mens", "underwear"],
  "url": "https://gymshark.com/products/gymshark-boxer-brief-5pk"
}

Output sample (store summary row)

{
  "_type": "storeSummary",
  "shop": "https://gymshark.com",
  "productCount": 1450,
  "medianPrice": 42,
  "onSaleRatio": 0.14,
  "topProductTypes": [{"value": "womens sports bra", "count": 210}],
  "topTags": [{"value": "sale", "count": 180}],
  "newestProducts": [{"title": "...", "price": "38.00"}],
  "scrapedAt": "2026-09-07T07:00:00.000Z"
}

How it works

1. Normalizes each store URL, strips path/query
2. Fetches /products.json?limit=250&page=N until empty page or cap
3. Flattens variants → product rows
4. Computes store summary from the fetched set
5. Optionally fetches homepage and extracts contact emails (mailto: + regex)

Limitations

• Only public products.json — no password-protected stores, no hidden SEO variants. Some themes cap limit=250 per page.
• Prices are list prices — no currency conversion, no historical tracking (yet).
• Store checkout/collections/pages are NOT scraped (products only).

Roadmap

• Historical snapshots: price-change alerts (schedule runs, diff against KV store)
• Collection-level breakdown (which collections drive the catalog)
• Bulk store discovery by keyword (pair with an existing search actor or Shop.com API)

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About Prime Sieve

Prime Sieve is the dev/tech brand by PrimeSieveCoder. We build small, sharp tools for solo developers — Apify actors, micro-SaaS, and the Remote Signal newsletter. Other actors cover GitHub repo search, Apify Store scraping, Substack hiring signals, and more.

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