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E-commerce data for brands & manufacturers

If you make a product and sell it through resellers, your job is to protect price, distribution, and reputation — even though you do not control the listings. ShopAPIS gives brand-protection and channel teams the evidence to do it: it reads price, seller, availability, rating and review_count from every reseller offer across 70+ marketplaces in 30+ countries, so you can spot a MAP break, an unauthorized seller, or a review crisis the day it happens — not at the next quarterly audit.

Your listings live on someone else’s platform, so the only way to govern your brand at scale is to read every reseller’s offer as structured data — seller, price, stock, and stars on one record.

The brand’s three jobs-to-be-done

  • Enforce MAP. Detect any offer advertised below your minimum advertised price, attributed to a named seller with a dated timestamp you can attach to a cease-and-desist. This is exactly what MAP compliance does — it compares each live price to your floor and returns who broke it, where, and by how much.
  • Monitor distribution. Find unauthorized sellers, gray-market listings, and counterfeit clones by scanning for your GTIN  and brand name across marketplaces you never authorized — including long-tail and cross-border ones.
  • Track reviews. Aggregate ratings and review text across every reseller listing of the same SKU so a defect or a 1-star spike surfaces as a signal, not anecdote. That is review analytics.

Why a brand can’t do this manually

A reseller catalog of a few hundred SKUs becomes thousands of distinct listings once you multiply by marketplace and country, and violators rotate seller accounts and drop price only intermittently. Manual spot-checks miss most breaches and capture no timestamp, so they hold up to no legal challenge. Building your own monitor means scraping dozens of marketplaces continuously — block rates on those targets commonly exceed 50% and break on every layout change. ShopAPIS runs that on a schedule and hands you normalized, dated records instead of screenshots.

Example: catching a MAP break

You publish a map_floor of 199.0 for a SKU. ShopAPIS checks every authorized and unauthorized seller and returns the violators with proof:

{ "gtin": "0850012345678", "brand": "Acme Audio", "map_floor": 199.0, "currency": "USD", "violations": [ { "marketplace": "ebay", "country": "US", "seller": "warehouse_deals_77", "authorized": false, "price": 159.0, "delta": -40.0, "rating": 4.1, "review_count": 312, "fetched_at": "2026-06-05T08:30:00Z" } ], "compliant_count": 23, "violation_count": 1 }

That one record names the seller, proves they are not on your authorized list, quantifies the 40-dollar break, and timestamps it — enough to act on the same day.

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