Falabella Market Scraping
Extract comprehensive product, pricing, seller, and review data from Falabella — Latin America's leading department store and marketplace operating across Chile, Colombia, Peru, and Argentina.
Data Types We Extract
Comprehensive coverage across all Falabella country storefronts.
- Product titles and descriptions
- Category hierarchies
- Product images (multiple angles)
- SKU and barcode data
- Product variants (color, size, model)
- Regular and promotional prices
- CMR Falabella card discounts
- Installment options by country
- Flash sale pricing
- Loyalty member prices
- Star ratings (1–5)
- Review text and titles
- Verified purchase badges
- Helpful vote counts
- Review dates and recency
- Seller names and ratings
- Multiple offers per product
- Fulfillment method
- Delivery estimates
- Seller location by country
- Keyword ranking positions
- Sponsored ad placements
- Category page rankings
- Cross-country ranking comparison
- Featured product slots
- Stock availability status
- Delivery time estimates
- Shipping cost by country
- Click-and-collect availability
- Store inventory data
Platform Ecosystem
Leverage the full breadth of Falabella Group's multi-country retail ecosystem.
Use Cases
How brands use Falabella data to win across Latin America's leading markets.
- Multi-country price normalization
- Currency conversion support
- Regional discount tracking
- Cross-border price arbitrage analysis
- Per-country share of search
- Category ranking trends
- Competitor presence mapping
- Sponsored vs organic analysis
- Title and description compliance
- Image quality monitoring
- Attribute completeness checks
- Variant configuration audits
- Multi-country sentiment data
- Review volume by market
- Rating distribution by country
- Competitor review analysis
- Per-country keyword rankings
- Category entry point analysis
- Rank tracking over time
- Ad placement monitoring
- Country-level delivery SLAs
- In-store vs online availability
- Click-and-collect penetration
- Carrier performance data
Sample Data Fields
Representative fields from our Falabella data schema.
| Field | Example | Type |
|---|---|---|
| product_id | 89203781 | string |
| country | CL | string |
| title | Zapatilla Nike Air Max 270 Hombre | string |
| category_path | Deportes > Zapatillas > Nike | string |
| price_current | 89990 | float |
| price_original | 119990 | float |
| cmr_price | 76990 | float |
| installments | 12 cuotas sin interés CMR | string |
| seller_name | Nike Chile Oficial | string |
| seller_rating | 4.7 | float |
| rating_avg | 4.5 | float |
| rating_count | 892 | integer |
| in_stock | true | boolean |
| retiro_tienda | true | boolean |
| delivery_days | 2 | integer |
| scraped_at | 2025-07-10T18:00:00Z | timestamp |
About Falabella
Falabella is Latin America's most important omnichannel retailer, tracing its origins to a tailor's shop founded in Santiago, Chile in 1889. Today the Falabella Group operates department stores, home improvement outlets (Sodimac), grocery chains (Tottus), and a sprawling ecommerce marketplace across Chile, Colombia, Peru, Argentina, and Brazil — competing with Mercado Libre for supremacy in the Latin American ecommerce landscape.
The platform's CMR Falabella credit card ecosystem, installment payment culture, and cross-country pricing strategies create a uniquely complex data environment. DataWeBot's LATAM-specialist scraping infrastructure captures this full complexity — giving both international brands expanding into the region and local players the precise market intelligence needed to compete effectively across South America's most dynamic retail markets.
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Contact our team to discuss your data extraction needs and receive a custom solution tailored to your business.
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Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
We cover Falabella's five main ecommerce markets: Chile (falabella.com), Colombia (falabella.com.co), Peru (falabella.com.pe), Argentina (falabella.com.ar), and Brazil (falabella.com.br). Data can be delivered per-country or unified across all markets.
Our extractors capture both the standard price and the exclusive CMR Falabella card price, along with all installment options (cuotas) available for each payment method and country-specific financing terms.
Yes. We support currency normalization for Chilean Peso, Colombian Peso, Peruvian Sol, Argentine Peso, and Brazilian Real, with daily exchange rate application for cross-country price comparison analysis.
Yes. We extract data from both Falabella's own inventory and third-party marketplace sellers, tracking buy-box ownership, seller ratings, and fulfillment methods separately.
We increase polling frequency to every 15–30 minutes during Cyberday (Chile's national online shopping event) and CyberMonday, capturing all flash deals, price drops, and stock movements in real time.
Standard schedules update every 4–6 hours across all countries. High-velocity categories like electronics and fashion can be configured for more frequent updates during peak periods.
Yes. We can extract and compare online pricing with in-store pickup pricing (retiro en tienda) where this data is surfaced on the website.
Data is delivered via REST API, webhook, or file downloads (JSON, CSV, Parquet). We support country-filtered data feeds and cross-country unified schemas.
We scrape only publicly available data from Falabella's websites and operate in accordance with applicable privacy laws in each country. We do not extract personal user data.
Yes. Sodimac (home improvement) and Tottus (grocery) are also part of the Falabella Group. We can configure a unified group-wide data feed including all three brands across all markets.