Magalu Market Scraping
Extract comprehensive product, pricing, seller, and review data from Magazine Luiza (Magalu) — Brazil's most innovative omnichannel retailer. Power your competitive strategy with precise Brazilian market data.
Data Types We Extract
Comprehensive coverage of every data point available on Magalu's platform.
- Product titles and descriptions
- Category hierarchies
- Product images (multiple angles)
- SKU and barcode data
- Product variants (color, size, model)
- Regular and promotional prices
- Magalu cashback percentages
- Installment options (parcelamento)
- Super Sexta flash deals
- Clube Magalu member discounts
- 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 (Magalu or seller)
- Delivery estimates by CEP
- Seller location and response time
- Keyword ranking positions
- Sponsored ad placements
- Category page rankings
- Recommended products
- Featured brand slots
- Stock availability online and in-store
- Delivery time estimates by CEP
- Shipping costs
- Retire na loja (click-and-collect)
- Same-day delivery eligibility
Platform Ecosystem
Leverage the full breadth of Magalu's omnichannel and marketplace ecosystem.
Use Cases
How brands and retailers use Magalu data to win in Brazil's omnichannel retail landscape.
- Price change detection
- Cashback and installment tracking
- Competitor discount monitoring
- Price elasticity signals
- Share of search metrics
- Category ranking trends
- Sponsored vs organic splits
- Competitor presence analysis
- Product title compliance
- Image quality checks
- Description completeness
- Attribute mapping validation
- Sentiment-ready review data
- Review volume and velocity
- Rating distribution analysis
- Competitor review benchmarking
- Keyword opportunity analysis
- Rank tracking over time
- Category entry point mapping
- Ad placement monitoring
- Online vs in-store price gaps
- Regional stock monitoring
- Click-and-collect tracking
- Delivery SLA benchmarking
Sample Data Fields
Representative fields from our Magalu data schema.
| Field | Example | Type |
|---|---|---|
| product_id | 232931600 | string |
| title | Smart TV Samsung 55" QLED 4K 55Q80D | string |
| category_path | Eletrônicos > TVs > Smart TVs | string |
| price_current | 2799.00 | float |
| price_original | 3499.00 | float |
| cashback_pct | 8 | integer |
| installments | 10x R$279,90 sem juros | string |
| seller_name | Samsung Store Magalu | string |
| seller_rating | 4.9 | float |
| fulfillment_type | Entrega Magalu | string |
| rating_avg | 4.7 | float |
| rating_count | 4512 | integer |
| in_stock | true | boolean |
| retire_na_loja | true | boolean |
| delivery_days | 3 | integer |
| scraped_at | 2025-07-10T16:10:00Z | timestamp |
About Magazine Luiza (Magalu)
Magazine Luiza, widely known as Magalu, is one of Brazil's most celebrated retail success stories. Founded in 1957, the company transformed from a traditional brick-and-mortar retailer into one of Latin America's most tech-forward ecommerce platforms, now operating over 6,000 physical stores alongside a thriving online marketplace with 200,000+ sellers — competing directly with Mercado Libre and Americanas for dominance in the Latin American ecommerce landscape.
Magalu's deep integration of online and offline commerce — including its "retire na loja" click-and-collect service, in-store pricing displays, and the Lu do Magalu AI assistant — creates a uniquely rich data environment. DataWeBot's Brazil-specialist infrastructure captures the full complexity of Magalu's pricing, promotional, and logistical ecosystem, delivering the precise market intelligence needed to compete across Brazil's diverse regional markets.
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Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
Yes. We extract data from the full Magalu platform including first-party Magazine Luiza products, third-party marketplace sellers, and the Netshoes and Zattini fashion subsidiaries where relevant.
Our extractors capture the full pricing stack: list price, sale price, cashback percentage, installment options, and time-limited Super Sexta flash deals with their countdown timers and deal expiry.
Yes. Magalu's omnichannel integration means some prices differ between online and physical stores. We can extract online prices and, where surfaced via the website's store locator, track regional in-store pricing.
Standard schedules update every 4–6 hours. For promotional events like Super Sexta and Black November, we increase to 15–30 minute polling to capture all flash deal and price change events.
Yes. We can configure coverage to include Netshoes and Zattini (Magalu's sports and fashion subsidiaries) delivering cross-brand product and pricing data in a unified schema.
Yes. For products with multiple marketplace offers, we track the buy box winner, their price, seller rating, and fulfillment method at each collection timestamp.
Magalu shows personalized delivery times and costs based on the buyer's CEP (postal code). We can configure location-aware scraping for any set of target CEPs, capturing region-specific logistics data.
Data is delivered via REST API, webhook push, or file downloads (JSON, CSV, Parquet). High-volume clients can receive direct database-to-database pipeline delivery.
We scrape only publicly available data and operate in accordance with Brazil's LGPD privacy framework. We do not extract personal user data and respect all applicable legal requirements.
Yes. We tag sponsored product placements separately from organic search results, giving you full visibility into both paid and earned positions for any keyword or category.