Magalu Market Scraping
DataWeBot extracts comprehensive product, pricing, seller, and review data from Magazine Luiza (Magalu) — Brazil's most innovative omnichannel retailer — delivering precise Brazilian market intelligence.
Data Types DataWeBot Extracts
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.
Ready to Get Started with DataWeBot?
Contact DataWeBot to discuss your data extraction needs and receive a custom ecommerce data solution tailored to your business.
Schedule a ConsultationGet in Touch with DataWeBot's Data Experts
DataWeBot's team will work with you to build a custom ecommerce data extraction solution — covering your target platforms, delivery format, and refresh cadence from day one.
Email Us
contact@datawebot.com
Request a Quote
Tell us about your project and data requirements
Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
Yes. DataWeBot extracts 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.
DataWeBot's 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. DataWeBot extracts online prices and, where surfaced via the website's store locator, tracks regional in-store pricing.
DataWeBot's standard schedules update every 4–6 hours. For promotional events like Super Sexta and Black November, DataWeBot increases to 15–30 minute polling to capture all flash deal and price change events.
Yes. DataWeBot 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, DataWeBot tracks 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). DataWeBot can configure location-aware extraction for any set of target CEPs, capturing region-specific logistics data.
DataWeBot delivers data via REST API, webhook push, or file downloads (JSON, CSV, Parquet). High-volume clients can receive direct database-to-database pipeline delivery.
DataWeBot extracts only publicly available data and operates in accordance with Brazil's LGPD privacy framework. DataWeBot does not extract personal user data and respects all applicable legal requirements.
Yes. DataWeBot tags sponsored product placements separately from organic search results, giving you full visibility into both paid and earned positions for any keyword or category.