Shopify Scraper — Products, Prices & Inventory Monitor
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from $3.00 / 1,000 results
Shopify Scraper — Products, Prices & Inventory Monitor
Scrape any Shopify store's products, prices and variants, and monitor price drops, restocks and new products. No API keys. Fast, multi-store, exportable.
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from $3.00 / 1,000 results
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Shopify Price & Inventory Monitor
Scrape every product from any Shopify store — titles, vendors, prices, compare-at prices, variants, stock status and images — and monitor changes over time: price drops, price rises, restocks, sell-outs, new and removed products.
Just enter a store domain. No API keys, no login.
Two modes
1. Catalog — full product dump
Get the complete catalog of any store. One row per product with all variants (size/color, price, compare-at price, SKU, in-stock flag), images, tags, vendor and timestamps. Run across many stores at once. Export to JSON, CSV, Excel or Google Sheets.
2. Monitor — only what changed 🔥
Run it on a schedule. The actor remembers the previous run and outputs only the differences:
| changeType | meaning |
|---|---|
price_drop / price_rise | a variant's price moved (with oldPrice, newPrice, changePct) |
back_in_stock / out_of_stock | a variant's availability flipped |
new_product / removed_product | a product appeared or disappeared |
variant_added / variant_removed | a size/color was added or dropped |
Perfect for competitor price tracking, restock alerts, dropshipping research and MAP-violation monitoring — the things you check again and again.
Why this one
- Monitoring, not just a snapshot — most Shopify scrapers only dump the catalog once. This one tracks change over time, so a daily schedule actually tells you something.
- Fast & cheap — reads the store's public product feed directly with parallel pagination (≈9,000 products in a few seconds), datacenter proxy is enough.
- Multi-store — watch dozens of competitors in a single run.
- Currency & shop name included — pulled from the store's metadata, so prices are unambiguous across regions.
- Collection tagging & bestseller flags — optionally tag every product with the collections (categories) it belongs to, and flag
isBestSeller/isOnSaleCollectionfrom the store's own best-seller and sale collections — data that the raw product feed does not expose. - Run digest — monitor runs write a summary (price drops, restocks, sold-outs, new/removed counts) to the key-value store under
DIGEST, so a scheduled run gives you a glanceable report, not just raw rows. - Clear status, no silent failures — if a store has no public feed, is password-protected or blocks the request, it's reported in the log instead of just returning nothing.
Input
| Field | Description |
|---|---|
storeUrls | Store domains or URLs (gymshark.com, https://allbirds.com). A /collections/<handle> URL limits to that collection. |
mode | catalog (full dump) or monitor (only changes since last run). |
collections | Limit to specific collection handles. Empty = whole store. |
minPriceChangePct | Monitor: ignore price moves smaller than this %. |
reportNewOnFirstRun | Monitor: emit all products as new on the first (baseline) run. |
includeCollections | Tag products with their collections + isBestSeller/isOnSaleCollection flags. |
maxCollections | Cap collections fetched per store when tagging is on. |
maxProductsPerStore | Cap per store (0 = unlimited). |
Output (catalog)
store, productId, title, handle, url, vendor, productType, tags, variantsCount, inStockVariants, available, minPrice, maxPrice, compareAtPrice, onSale, discountPct, createdAt, updatedAt, publishedAt, featuredImage, images, variants[].
Notes
Works on any standard Shopify store that exposes the public /products.json feed (the vast majority do). Monitor mode stores its baseline in the actor's key-value store, so keep using the same actor/schedule for change tracking to work.
