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Open data

iPickPet's database of 321 pet products is open: download it, query it, build on it. For apps, research, teaching, or learning to code. No key, no sign-up.

License

The database is available under the Open Database License (ODbL) 1.0, the license OpenStreetMap and Open Food Facts use. You may copy, share and adapt it, including commercially, as long as you credit iPickPet (https://ipickpet.com) and share databases you derive from it under the same license. Product photos belong to their brands and aren't included in the license. The website's code is open source under the MIT license.

Download

API

JSON over HTTPS at https://ipickpet.com, open to any site (CORS). Answers are cached for a few minutes; please cache on your side too, and use the export for bulk work.

GETReturns
/api/v1/productsEvery published product, summarized: type, brand, species, categories, life stages, photo, core label numbers, source and check date.
/api/v1/products/{slug}One product with every recorded fact: ingredients, guaranteed analysis rows, calories, adequacy statement, directions, key facts.
/api/v1/exportThe whole database in one JSON file, every fact of every product.
/api/v1/export?format=csvThe main facts as a spreadsheet: one product per line, lists joined with |.
/api/v1/termsProduct types, categories, species, life stages and brands, with counts and brand details.
/api/v1/ingredientsThe ingredient glossary.

Try it

curl https://ipickpet.com/api/v1/products | jq '.products[] | {title, brandName, nutrition}'

What the fields mean

  • fields holds the facts copied word for word from the source: ingredients (label order), analysis (guaranteed analysis rows: name, qualifier min/max, value, unit), kcalKg, kcalCup, adequacy, directions, warnings, claims (the brand's words), specs (key facts as label/value).
  • sourceUrl is the maker's page the facts were read from; checkedAt the date they were last checked against it.
  • A fact that isn't in the source is absent from the record, never empty or guessed.
  • Nothing in the data is calculated. The calculations on the website (dry matter, AAFCO comparisons, carbohydrate estimates) are documented on How we work so you can reproduce them.

For AI agents

A plain-text map of the site is at /llms.txt.