Ripley product data API

ShopAPIS returns structured Ripley product data — title, brand, price, Tarjeta-Ripley card price, installment (cuotas) terms, stock, variants and ratings — as clean JSON in CLP and PEN. Ripley is a major Andean department-store marketplace, and like its peers it shows a public price next to a lower store-card price plus installment plans — the fields that decide purchases and that ShopAPIS captures in full.

Ripley operates across Chile and Peru with ~7.8 million monthly visits in Peru and a top-15 position in Chilean online department stores (plan2 LatAm research). Its apparel, home and electronics catalog runs on one codebase across both markets, making it an efficient, moderate-friction multi-country parse alongside Falabella and Paris in the Andean department-store cluster.

Why Ripley data is hard to get

Ripley has limited public API access and displays two prices — the public price and the lower Tarjeta-Ripley card price — plus cuotas installment plans that a generic scraper conflates. The card price and installment terms are the real competitive floor for cardholders, yet are absent from non-LatAm schemas, and the same product carries different price and currency on ripley.cl (CL) and ripley.com.pe (PE). Pages render the card price, cuotas and variants client-side with moderate anti-bot. ShopAPIS captures both prices, resolves the country/currency and normalizes variants into one record.

Data fields returned

• Identity — product/SKU ID, title, brand, category path.
• Pricing — public price, Tarjeta-Ripley card price, list price, currency (CLP / PEN), discount.
• Installments — cuotas plan: number, per-installment amount, interest-free flag.
• Variants — size/color variants with per-variant price and stock.
• Social proof — rating average, review count.
• Availability — in-stock flag, delivery / store-pickup estimate.
• Seller — seller name, 1P (Ripley) vs 3P marketplace flag.
• Media — image gallery.

Sample response

{
  "platform": "ripley",
  "country": "CL",
  "sku": "MPM10002345678",
  "url": "https://simple.ripley.cl/parka-mujer-2000389123456p",
  "title": "Parka Mujer Impermeable con Capucha",
  "brand": "Index",
  "category": ["Mujer", "Vestuario", "Parkas y Casacas"],
  "price": 39990,
  "card_price": 34990,
  "list_price": 59990,
  "currency": "CLP",
  "installments": { "quantity": 6, "amount": 5832, "interest_free": true },
  "seller": { "name": "Ripley", "type": "1P" },
  "variants": [
    { "size": "M", "color": "Negro", "stock": 11 },
    { "size": "L", "color": "Negro", "stock": 4 },
    { "size": "M", "color": "Azul", "stock": 0 }
  ],
  "rating": { "average": 4.3, "review_count": 96 },
  "availability": "Disponible",
  "images": ["https://home.ripley.cl/store/parka-mujer-index.jpg"]
}

Markets and domains covered

Ripley runs one codebase across two Andean markets: ripley.cl (Chile, CLP) and ripley.com.pe (Peru, PEN). ShopAPIS resolves any listing by URL or by country + SKU and returns both the public and Tarjeta-Ripley card prices.

Use cases

• Card-price intelligence — capture the Tarjeta-Ripley price gap versus the public price (/solutions/competitive-intelligence).
• Multi-country price monitoring — track one product across CL/PE in local currency (/solutions/price-monitoring).
• Variant inventory tracking — monitor size/color stock across the department-store catalog (/solutions/inventory-tracking).
• Catalog enrichment — ingest apparel, home and electronics attributes (/solutions/catalog-enrichment).

Related

Stats from ShopAPIS market research, June 2026 (@plans/plan2-research/reports/latin-america.md). Anti-bot friction (medium) per June 2026 research.