Falabella Scraper — Chile & Colombia Product Prices, Sellers and Ratings

Falabella is the largest department-store retailer in South America and its online marketplace is where a great deal of Chilean and Colombian retail pricing is actually set. This Actor walks any search or category on falabella.com (Chile) and falabella.com.co (Colombia) and returns a clean product table: name, brand, SKU, four separate prices, discount percentage, rating, review count, the marketplace seller behind the offer, and every product image.

The four prices matter more than they look. Falabella quotes a crossed-out listPrice, an open currentPrice anyone pays, an eventPrice during campaigns, and a cardPrice reserved for holders of the store's own CMR credit card. Most scrapers flatten those into one number and quietly lose the discount structure; this one keeps them apart, so you can see both the headline discount and the card-only discount that drives conversion.

What you get

One row per product, 34 columns:

Group	Fields
Identity	productId, skuId, name, brand, url, productType, categoryId, merchantCategoryId
Pricing	currentPrice, listPrice, cardPrice, internetPrice, eventPrice, savings, discountPercent, currency, installmentsWithoutInterest
Reputation	rating, reviewCount
Seller	sellerName, sellerId, isVerifiedSeller, isMarketplace
Merchandising	isBestSeller, isSponsored, isFrequentProduct, badges, variants
Media	imageCount, mainImage, imageUrls
Meta	country, source, scrapedAt

Measured on a 150-product run in Chile: currentPrice 100%, listPrice 100%, brand 100%, sellerName 100%, discountPercent 71%, rating and reviewCount 65%, variants and badges where the product has them.

Sample row

{
  "productId": "142493561",
  "skuId": "142493562",
  "name": "Zapatillas Mujer Skech-Air Dynamight 20 Negro RG",
  "brand": "SKECHERS",
  "url": "https://www.falabella.com/falabella-cl/product/142493561/...",
  "currentPrice": 35990,
  "listPrice": 54990,
  "cardPrice": null,
  "savings": 19000,
  "discountPercent": 35,
  "currency": "CLP",
  "rating": 4.6471,
  "reviewCount": 34,
  "sellerName": "Skechers",
  "isMarketplace": true,
  "isSponsored": false,
  "badges": "Llega mañana | Envío gratis app | Retira mañana | Envío Plus+",
  "variants": "COLOR: Negro",
  "imageCount": 5,
  "mainImage": "https://media.falabella.com/falabellaCL/142493562_01/public"
}

Input

Field	What it does
Country	Chile or Colombia — separate catalogues, currencies, sellers and prices.
Search term	Any keyword: celular, zapatillas, televisor, notebook.
Search or category URL	Optional. Paste a URL from the site to reuse the facets and sort order you set there; it overrides the two fields above.
Maximum products	Stop after this many rows. Up to 56 products arrive per page.
Proxy	Residential, pinned automatically to the selected country.

{
  "market": "co",
  "searchTerm": "celular",
  "maxResults": 1000,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Reusing a filtered category instead:

{
  "searchUrl": "https://www.falabella.com/falabella-cl/category/cat7230011/Celulares-y-Telefonos",
  "maxResults": 500
}

What it is good for

Competitive repricing. If you sell on Falabella's marketplace, currentPrice, cardPrice and discountPercent per SKU are the numbers your own pricing has to answer. Run the same search daily and you have a price history per SKU without touching a seller API.

Promotion and campaign tracking. eventPrice and savings expose exactly when and how deep a category goes on discount — CyberDay, Black Friday, back-to-school. Because listPrice is kept separately, you can also spot the classic trick of raising the crossed-out price before a sale.

Marketplace seller intelligence. sellerName, sellerId, isMarketplace and isVerifiedSeller show who is selling what through the platform. Group a category run by seller to find the active third-party merchants — the prospect list for logistics, packaging, financing and ad-tech vendors selling into LATAM e-commerce.

Assortment and gap analysis. Brand, category and product type across thousands of SKUs show which brands own shelf space in a category and where a catalogue is thin — the standard input to a range-planning exercise.

Retail-media measurement. isSponsored marks paid placements, so you can measure how much of a category page is bought rather than earned, and which brands are buying it.

Review mining. rating and reviewCount per SKU identify products with enough social proof to matter, and the ones whose ratings are slipping.

How it works

Falabella server-renders its result pages and embeds the full product set in the page. The Actor requests each page through a residential IP in the target country, reads that embedded catalogue, and maps every product to a flat row — no headless browser, so runs stay fast and cheap.

Two details that took verifying rather than assuming:

• Deep pagination is real, and checked. Pages 1, 5 and 20 of the same search return distinct products (currentPage advances server-side). Sponsored placements repeat across pages, so the Actor de-duplicates by SKU across the whole run.
• Prices are parsed per market. Chile writes 499.990 and Colombia 4.699.900, both with dots. Reading those as decimals would turn a 4.7-million-peso phone into 4.70. The parser decides by counting digits after the last separator, so both markets come out right.

Long runs are guarded the same way as the rest of this Actor family: a fresh proxy IP on every retry, a failed page skipped rather than fatal, three consecutive failures stopping the run, and a time budget that keeps everything already collected.

Cost and limits

Billing is per result, so cost tracks rows saved rather than pages fetched. Store discounts apply on paid Apify plans.

• Chile and Colombia only. The Peruvian storefront ignores its own paging parameter and re-serves page one indefinitely, so it is deliberately not offered here rather than shipped as a market that silently returns 50 products and stops.
• cardPrice appears only where a CMR-exclusive price exists (about 1% of fashion, far more in electronics).
• rating and reviewCount are empty for unrated products rather than reported as zero.
• Falabella's own search caps deep results; to collect a whole category, split by brand or price band using the URL field.
• Stock level and delivery promise are not exposed in the listing payload; badges carries the shipping claims the site shows on the card.

Legal

This Actor reads publicly visible catalogue pages. It does not log in, does not bypass access control, and collects no personal data — seller names here are business identities. Product data may be protected as a database right in some jurisdictions; use it accordingly.

Not affiliated with, endorsed by, or connected to Falabella or Falabella Retail S.A. The name is used only to identify the public source of the data.

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*Maintained: last verified 2026-09-01 — checked end-to-end against live run history (reliability, output fields and types, and time/memory budgets).

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Use cases

• Export products in bulk and analyse them in a spreadsheet or database.
• Track how the data changes over time by scheduling repeat runs.
• Feed products into a dashboard, CRM or internal tool through the Apify API.
• Build a research dataset without writing or maintaining a scraper.
• Monitor Falabella for new entries and alert your team when they appear.

Related scrapers

Other Actors from the same collection:

• Ripley
• Torob
• Amazon
• Daraz

Scheduling and integrations

Run this Actor on a schedule — hourly, daily or weekly — and have every run append to the same dataset, which is how you turn a one-off export into a time series. Results can be pushed straight into Google Sheets, Slack, Zapier, Make, Airtable or any Webhook.

How much Falabella data can you extract in one run?

A single run returned 1,000 products in 121 seconds on the example input, and it was still going when the measurement stopped — raise the result limit and it keeps paginating. That is roughly 495 products a minute.

There is no hard ceiling built into this Actor. What bounds a run is the result limit you set, the breadth of the input you give it, and how much Falabella itself publishes. Because billing is per result, a wider run costs proportionally more and a narrow one costs almost nothing — so it is worth starting small and scaling once the output looks right.

Falabella scraping — frequently asked questions

Do I need a Falabella API key, account or login?

No. This Actor reads publicly available pages and feeds, so there is nothing to register for and no credentials to manage.

How do I export Falabella data to CSV, Excel, JSON or Google Sheets?

Open the Storage tab after a run and pick the format you want — CSV, Excel, JSON, XML or an HTML table. For Google Sheets, Airtable or a database, use the dataset URL or the Apify API so the sheet refreshes itself on every run.

Can I schedule this Falabella scraper to run daily or hourly?

Yes. Use the Schedules tab and pick a cadence. Daily is enough for most tracking work; pick hourly only if the products you care about really do change that fast.

How many products can I get, and what does it cost?

See the volume section above for a measured figure. Billing is per result, so you pay for the rows you actually receive and a run that finds nothing costs nothing.

Is scraping Falabella legal?

This Actor collects only information that Falabella publishes publicly. It does not log in, does not defeat access controls and does not touch private data. You remain responsible for how you use the output, including under GDPR and similar rules where personal data is involved.

What happens if Falabella blocks the run or changes its layout?

A refused exit IP is swapped for a fresh one within a quarter of a second and retried, and rate limiting is waited out rather than fought. If nothing gets through, the run fails with the reason instead of reporting success with zero rows — so an empty result always means "no matches", never "the source would not answer".

Can I use this with an AI agent, LangChain or an MCP client?

Yes. The Actor is callable over the Apify API and through Apify's MCP server, so an agent can run it and read the dataset back as a tool call.

How to scrape Falabella without an API

Falabella has no public bulk export for this data, which normally leaves copy-and-paste or a custom crawler. This Actor is the second one, already built and maintained: it reads the public pages, follows the pagination, and hands back clean rows.

1. Fill in the input below — the example is prefilled, so Start works straight away.
2. Watch the log name each page it walks and how many products each one returned.
3. Export from Storage, or pull the dataset over the API into your own pipeline.

No API key, no account, no browser extension, no manual copying.