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 / isOnSaleCollection from 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.