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A synthetic commerce data generator creates sample product, department, price and ISBN data for catalogue tests, checkout flows, merchandising screens and search indexes. It gives teams repeatable commerce-shaped fixtures without copying production product records into lower-control environments.
Generate sample commerce data at spotzee.com/tools/commerce-generator.

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Why this matters

Production catalogue records don’t belong in development databases, screenshots, demos or automated test logs. A commerce data generator gives teams realistic sample values without exposing real store data in places that don’t need it. Commerce fields fail in ordinary ways. Long product names wrap in cards. Price symbols and decimal places can break formatting. ISBN separators affect validation. And seeded output helps you reproduce a failing test instead of chasing a one-off random value. Each Extended API call deducts a small per-call amount from your Spotzee credit balance. See the Spotzee pricing page for live per-tool pricing.

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How it works

1

Send the request

POST to /generic/data/generate/commerce with count. The count is a string from 1 to 100.
2

Choose a method

Use method=profile for expanded commerce records, or choose one field method such as productName, price, isbn or department.
3

Set commerce options

Send locale, optional numeric seed, price controls, isbnVariant and isbnSeparator when those values matter to your fixture.
4

Read the response

The response returns data.commerce[], generated, locale, optional seed, and the resolved method. Profile records can include product, department, price and ISBN fields.

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Method reference

MethodOutputMain parameters
profileProduct, department, price and ISBN fieldscount, locale, seed, price controls, ISBN controls
departmentShop department or product categorycount, locale, seed
isbnISBN fixturecount, locale, seed, isbnVariant, isbnSeparator
pricePrice fixturecount, locale, seed, priceMin, priceMax, decimals
productShort product namecount, locale, seed
productAdjectiveProduct adjectivecount, locale, seed
productDescriptionProduct descriptioncount, locale, seed
productMaterialProduct materialcount, locale, seed
productNameDescriptive product namecount, locale, seed
Use profile when you need fuller ecommerce test data. Use a field method when your form, table, import job or search index only needs one value type.

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What to watch for

  • Count outside 1 to 100. One request generates up to 100 commerce records. For more rows, call the endpoint again and vary the seed when you need a different batch.
  • Wrong method for the fixture. Use profile for fuller product records, or a field method for one value type.
  • Invalid price range. priceMin and priceMax must be numeric values. The minimum must be less than or equal to the maximum.
  • Invalid ISBN separator. isbnSeparator must be printable ASCII and no more than three characters.
  • Expecting live products. Generated commerce values are synthetic sample data. Don’t use them as verified product names, real prices or catalogue records.
  • Invalid seed. Seeds must be whole numbers. Leave the seed blank for random output, or reuse the same seed for repeatable fixtures.

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FAQs

A commerce data generator can return commerce[] records with method and value fields. Profile output can also include productName, product, productAdjective, productDescription, productMaterial, department, price and isbn fields. The exact fields depend on the selected method.
No. This product data generator creates synthetic sample values for tests, prototypes and fixture files. Do not treat generated product names, prices or ISBN values as real catalogue records.
Yes. Set a numeric seed to reproduce output for the same count, locale, method and option values. Leave the seed blank when you want a fresh random batch for exploratory testing.
Choose profile when you need fuller ecommerce test data with product, department, price and ISBN fields together. Choose productName, price, isbn, department or another field method when a form, table or import job only needs one field type.
The best product data generator for QA fixtures is the one that gives you repeatable, typed output without production data. Spotzee is built for that workflow: send a count, choose the method and reuse a numeric seed when you need stable fixtures.
Use this commerce data generator guide for endpoint details, then combine commerce data with the company data generator guide, contact generator guide, phone data generator guide and date generator guide to build fuller test datasets.

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Try it

Generate sample commerce data at spotzee.com/tools/commerce-generator. For batch or programmatic use, call the Extended API endpoint with your Spotzee API key.