Ripley Scraper — Chile Product Prices, Discounts & Stock

Chilean retail prices with all three figures that matter: the list price, the everyday price, and the lower price you only get with the store's own card.

What does the Ripley Scraper do?

This Actor collects live product data from Ripley.cl, one of Chile's largest department stores. Chilean retail quotes three prices for the same item — the list price, the price anyone pays, and the discounted price for holders of the store's credit card — so reporting a single number would misstate what a shopper actually pays. All three are kept in their own columns and the discount is derived from the pair a customer without the card would see.

The products come from the page's own Next.js payload, which also marks sponsored placements. That flag is worth keeping: a sponsored row is an advert, not evidence of what ranks organically, and the same sponsored items repeat across pages — de-duplication by SKU is what keeps a run honest.

Who is it for?

• Brands and distributors monitoring how Chilean retailers price their products.
• Competitive-pricing teams benchmarking before setting their own shelf prices.
• Marketplace sellers researching demand and price bands before listing.
• Retail analysts measuring discount depth and card-price spreads.
• Consumer researchers studying Chilean retail promotion cycles.

Use cases

• Track the gap between the everyday price and the card price — that spread is the store's loyalty economics in numbers.
• Watch discount percentages daily and catch promotions the day they start.
• Separate organic ranking from paid placement using the sponsored flag.
• Compare marketplace sellers against Ripley's own stock in the same category.
• Build a ratings benchmark per category from rating and review counts.
• Feed an AI agent live Chilean retail prices for shopping questions.

Why use this Ripley Scraper?

• Three price columns, not one — list, everyday and card price, each separate.
• Sponsored placements flagged, so paid positions never get mistaken for organic ranking.
• About 58 products per page, deduplicated by SKU across pages.
• Category browsing and keyword search, either one.
• Colour variants and badges captured as their own columns.
• Keyless and login-free — nothing to register, nothing to rotate.

What data can you extract?

One row per product. Anything the source left blank comes back as null.

Field	Type	Description
sku	string	Ripley SKU
url	string	Direct link to the product
name	string	Product name
brand	string	Brand
description	string	Short product description
price	number	Current price in Chilean pesos
oldPrice	number	List price before discount
cardPrice	number	Price with the Ripley credit card
discountPercent	number	Discount against the list price
rating	number	Average rating
reviewCount	number	Number of reviews
seller	string	Seller name
isMarketplace	boolean	True where a third-party seller, not Ripley itself
isSponsored	boolean	Paid placement rather than organic ranking
badges	string	Promotion badges shown on the card
colours	string	Available colourways
variantCount	number	Number of variants
imageCount	number	Number of photos
imageUrl	string	Main product photo
scrapedAt	string	When this row was collected

Sample output

{
  "sku": "2000409933426",
  "url": "https://simple.ripley.cl/product/2000409933426P",
  "name": "NOTEBOOK HP OMNIBOOK 14-FR0070LA INTEL CORE ULTRA 7 16GB RAM 1TB SSD 14”",
  "brand": "HP",
  "description": "Notebook Intel Core Ultra 7 16GB Ram 1TB SSD 14\"",
  "price": 989990,
  "oldPrice": 1229990,
  "cardPrice": 949990,
  "discountPercent": 23,
  "rating": 0,
  "reviewCount": 0,
  "seller": "RIPLEY",
  "isMarketplace": false,
  "isSponsored": true,
  "badges": null,
  "colours": "Plata",
  "variantCount": 1,
  "imageCount": 11,
  "imageUrl": "https://rimage.ripley.cl/home.ripley/Attachment/WOP/1/2000409933426/full_image-2000409933426",
  "scrapedAt": "2026-08-16T16:28:49.120Z"
}

How to use the Ripley Scraper

Option A — a category

Enter a category path exactly as it appears after simple.ripley.cl in the URL, e.g. tecno/computacion/notebooks or electro/television, and set a result limit.

Option B — a keyword search

Enter a search term instead. The search runs across the whole store; the category path is ignored in that mode.

Option C — a daily price monitor

Pick the categories you compete in, schedule the Actor daily, and diff price, cardPrice and discountPercent between runs.

Input parameters

Input	Type	Description
categoryPath	string	Ripley category path exactly as it appears after simple.ripley.cl/ in the URL, e.g. tecno/computacion/notebooks, electro/television, dormitorio/colchones, deporte. Default: "tecno/computacion/notebooks".
searchTerm	string	Optional keyword search across the whole store. When set, the category path is ignored.
maxResults	integer	Stop after this many products. Each page returns about 58, a few of which are sponsored repeats that get de-duplicated. Default: 1000.
proxyConfiguration	object	Ripley serves Chilean exits. Residential proxy pinned to Chile is used automatically.

Tips for best results

• cardPrice is only filled where Ripley offers a card discount — roughly half of items — and it is the number Chilean shoppers actually compare.
• Filter out isSponsored rows before analysing category rankings, or you are measuring the ad auction rather than the market.
• isMarketplace separates Ripley's own inventory from third-party sellers, which behave very differently on price and delivery.
• Ratings are frequently zero in electronics and well populated in beauty and fashion — the category, not the Actor, decides.
• The category path must match the URL exactly, including every slash.

Integrations

Connect this Actor to Make, Zapier, n8n, Slack, Google Sheets, GitHub, Airtable or any HTTP endpoint through Apify integrations. Every finished run can push its dataset straight into your warehouse, or fire a webhook so a downstream job starts the moment the data lands.

API usage

Run the Actor from your own code with the Apify API. Datasets can be exported as JSON, CSV, Excel, XML, RSS or HTML, and every run is available through the Apify API reference.

curl -X POST "https://api.apify.com/v2/acts/logiover~ripley-chile-product-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"input": {"categoryPath": "tecno/computacion/notebooks", "searchTerm": "", "maxResults": 1000, "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "CL"}}}'

Python, JavaScript, PHP and CLI clients are documented under Apify API clients.

Use with AI agents (MCP)

This Actor is callable from any MCP-compatible client — Claude, Cursor, VS Code or your own agent — through the Apify MCP server. An agent can call it to answer live questions about Chilean retail prices, card discounts and product ratings instead of guessing from stale training data.

FAQ

Do I need a Ripley account or API key?

No. The Actor reads public product data with no login and no key.

What is the Ripley card price?

Chilean department stores run their own credit cards and quote a lower price for cardholders. It sits beside the normal price on the shelf, so both are collected.

How many products can one run return?

Each page carries about 58 and pagination keeps producing new ones, so the practical limit is the result cap you set.

What currency are prices in?

Chilean pesos (CLP), as published.

Why do some pages repeat products?

Sponsored placements are injected into every page. They are de-duplicated by SKU, which is why a page adds fewer than 58 new rows.

Why did my run return zero products?

Usually a category path that does not exist. Copy it from a Ripley URL, including every slash.

Can I search instead of browsing?

Yes — set a search term and the Actor searches the whole store. Note that the search lives at /search/

Is the data in Spanish?

Yes. Product names, descriptions and badges are published in Spanish and collected as written.

Can I export to CSV or Excel?

Yes. Every run's dataset exports as JSON, CSV, Excel, XML, RSS or HTML from the Storage tab, the API, or automatically through an integration.

How fresh is the data?

Every run reads the site live at that moment, so the data is as fresh as the site itself. Schedule the Actor hourly, daily or weekly to build a time series.

How often is the Actor updated?

It is monitored and fixed when the site changes its markup or its endpoints. Report anything that looks wrong through the Issues tab and it gets picked up.

Is it legal to scrape Ripley?

This Actor collects only publicly available information — the same pages any visitor can open without logging in. It does not bypass a login, and it does not touch private or personal accounts. Public data collection is legal in most jurisdictions, but how you use the data is your responsibility: if any record contains personal data, GDPR and comparable laws still apply, and you need a lawful basis for processing it. When in doubt, take legal advice. See Apify's ethical web scraping guide.

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