Use cases by buyer persona
ShopAPIS sells one thing — normalized product data from 70+ marketplaces in 30+ countries, 40+ fields per product (price, inventory, reviews, seller, Buy Box) — but six very different buyers use it for six different jobs. Brands enforce MAP. Retailers price-match. Repricing tools feed their algorithms. Data teams skip proxy and CAPTCHA upkeep. Researchers size markets. Agencies report to clients. This page maps each persona to the fields and solutions that serve them.
The same product feed answers a different question for every buyer — your job-to-be-done decides which fields you read and which solution you wire it to.
Find your persona
Enforce MAP, monitor distribution, and track reviews across every reseller and marketplace.
Retailers & marketplacesBenchmark assortment and stay price-competitive against rival retailers in real time.
Repricing & pricing toolsFeed your repricer live competitor prices and Buy Box state through one API.
Data & engineering teamsGet clean product data without owning proxies, CAPTCHA solving, or parsers.
Market researchersQuantify category trends, pricing distributions, and market size from real listings.
Ad & e-commerce agenciesPower client reporting and competitor monitoring across many brands and storefronts.
How personas map to solutions
| Persona | Primary job-to-be-done | Mapped solutions |
|---|---|---|
| Brands | Protect price and distribution | MAP compliance, Review analytics |
| Retailers | Win on price and assortment | Competitive intelligence, Price monitoring |
| Repricing tools | Reprice against live data | Price monitoring |
| Data teams | Ship a pipeline, not a scraper | Marketplace scraping API, API getting started |
| Researchers | Size and trend markets | Competitive intelligence |
| Agencies | Report and monitor for clients | Competitive intelligence, Review analytics |
A single product object, many jobs
One call returns the object every persona slices differently — the brand reads seller and enforces a MAP floor, the retailer reads price and availability, the researcher aggregates rating and review_count across a category.
{
"gtin": "0194252707326",
"title": "Wireless Noise-Cancelling Headphones",
"price": 279.0,
"currency": "USD",
"availability": "in_stock",
"seller": "AudioDirect",
"buy_box_seller": "AudioDirect",
"rating": 4.6,
"review_count": 18234,
"marketplace": "amazon",
"country": "US",
"fetched_at": "2026-06-05T08:30:00Z"
}Why the persona matters more than the platform
Two buyers can pull the identical Amazon record and need opposite things from it. A brand cares whether the seller is authorized and whether the price breaks its floor; a retailer cares only whether that same price beats its own; a researcher discards both and keeps the review_count as a demand signal. Choosing the right persona page first — rather than starting from a marketplace — tells you which fields to read, which solution to wire up, and how often to refresh. The marketplace coverage is a given; the job-to-be-done is the decision. That is why these pages are organized by buyer, and why each one ends at a different solution even though they all start from the same 40+ field product object.
Not sure where you fit? Most teams start with price monitoring or competitive intelligence and add MAP or review analytics later — the underlying feed is the same.