Direct-to-consumer brands
Read a competitor's whole Shopify catalogue each week and see what went on sale or out of stock.
Use cases · E-commerce
Watch competitor prices in three places: Amazon product cards, any Shopify storefront's catalogue, and Google Shopping offers across merchants. Run the same calls on a schedule from your own job and read the free history for the trend.
Updated 21 October 2026
Read a competitor's whole Shopify catalogue each week and see what went on sale or out of stock.
Watch the Amazon listings you compete with for price, deal flags and best-sellers rank, and reprice from data.
Compare one product across merchants with Google Shopping, then follow the ones that matter on their own stores.
List prices per record. A call can carry a minimum, so quote first: the quote is free, and a record that does not come back is not charged.
| Step | Operation | What comes back | Price |
|---|---|---|---|
| 1 | Amazon products | Price, list price, deal and Prime flags, availability, seller | $0.0014 per record |
| 2 | Shopify products | Every product with price range, sale flag, stock, variants | $0.0009 per record |
| 3 | Google shopping | Offers with title, merchant, price, rating | $0.0027 per record |
No. History reads only what earlier captures already stored, at no charge. It does not fetch new prices; run the products call for that.
Any Shopify-powered storefront, by store URL, up to five per call.
Yes. Set marketplace to the site's domain suffix, such as co.uk, de or in. A product URL carries its own site.
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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