Best of · Ecommerce
The best price tracking sources are Amazon for marketplace products, Shopify for brands' own stores and Google Shopping for prices across merchants, because each returns the current price and stock, and Amazon and Shopify keep a free stored price history. Farfetch, StockX and GOAT cover luxury fashion and resale.
Updated 21 October 2026
| # | Source | What you get | Best for | Price |
|---|---|---|---|---|
| 1 | Amazon products | Price, list price, deal and Prime flags, availability, best-sellers rank, seller | Marketplace products on 12 marketplaces | $0.0014 per record |
| 2 | Shopify stores | Every product and variant with SKU, price and stock, sale flag | Brands' own stores | $0.0009 per record |
| 3 | Google Shopping | Offers with title, merchant, price, rating, review count | Comparing merchants | $0.0027 per record |
| 4 | Farfetch | Price, full price, discount, per-size stock, seller boutique | Luxury fashion | $0.0009 per record |
| 5 | StockX | Last sale, lowest ask, highest bid, 90-day and 12-month averages | Resale market prices | $0.0009 per record |
| 6 | GOAT | Asking price per size with condition, max offer, retail price | Sneaker asks by size | $0.0009 per record |
List prices are per record and some calls carry a minimum. Quote any call first with "estimateOnly": true: the quote is free and is the most the call can cost.
Full product cards for up to ten ASINs or URLs, or a keyword search with search rank. Every fetch adds a price point, and the free history operation reads price, list price, rating, best-sellers rank and the bought-past-month figure over time.
Point it at any Shopify-powered store URL, up to five per call, and get the catalogue: price range, sale flag, stock and every variant with its SKU, price and stock. History tracks price range, stock and variant count. It only works on stores that run on Shopify.
Offers for a query with the merchant, price, rating and review count, filtered by country, language and how recent. It shows the spread of prices across sellers in one call. There is no stored history for it, so keep the rows yourself if you need a series.
Product cards, keyword search, and any designer, category or sale page in page order. Prices follow the storefront locale, so read the currency field. History covers price, full price, discount and stock.
Live market data for up to ten products, size by size, with sales counts and volatility. A country code prices it for that region. The free history operation stores every market figure it reads.
Every size with its asking price, condition and availability, plus the max offer and retail price. Search, brand or collection pages, and a country code for regional prices. History stores lowest ask, max offer and retail price.
Yes. Every fetch adds a price point for that product and marketplace, and the history operation reads the stored series free: price, list price, rating, ratings count, best-sellers rank and bought-past-month.
Twelve: .com, .in, .co.uk, .de, .fr, .it, .es, .ca, .com.au, .co.jp, .com.mx and .com.br. A product URL carries its own marketplace.
Any Shopify-powered storefront, by its URL, up to five stores per call. Stores on other platforms are not read by this operation.
Yes on Amazon, Shopify, Farfetch, StockX and GOAT: the history operations are free and read points earlier fetches stored. Google Shopping has no stored history.
The playground runs any endpoint by hand: pick a platform and what you want from it, fill a short form named in plain words (or press Use sample input), see the free quote on the Run button, run it, then read the answer as a table or JSON and download it as CSV or JSON. The same call is written out as cURL, Python and Node while you type.
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