You tell us which Magalu categories, search terms, seller pages or product codes to follow, and which fields you need. We build the crawlers, run them on your schedule, and fix them when Magalu changes its layout. Magazine Luiza renders much of its pricing and stock dynamically, varies stock and frete by CEP, and rate limits hard, so keeping a large crawl stable is ongoing work - that work is ours, not yours.
Delivery is CSV, JSON, XLSX, straight into your database, or via API. Plans start from EUR 199.
We build the field set around what a Magalu product page actually exposes:
Some of the most useful Magalu fields are not on the product card at all - they sit inside the ficha tecnica table or behind the CEP-driven shipping module:
We can also derive signals: price change history, parcelamento terms changing over time, a seller entering or leaving a Codigo, and which seller currently holds the buy box on a shared product page.
Magazine Luiza, known to Brazilians simply as Magalu, is one of the largest retail platforms in Brazil. It began as a chain of physical stores in the interior of Sao Paulo state and became a hybrid operation: its own retail inventory sits alongside a third-party marketplace, and both appear in the same catalogue under the same product pages.
The site runs entirely in Brazilian Portuguese and prices everything in BRL. Category paths use Portuguese slugs such as /eletrodomesticos/, /celulares-e-smartphones/, /moveis/ and /informatica/. Products carry an internal code shown on the page as the Codigo, and product URLs run through a /p/{codigo}/{categoria}/{subcategoria}/ path.
Magalu also operates Retira Loja pickup at physical stores, so a single product can show different availability depending on the CEP the visitor enters.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Magalu quotes the same product in more than one way at once - a cash price tied to Pix or boleto, and a parcelamento plan next to it - and the same product page can be held either by Magazine Luiza itself or by a marketplace seller. Brands and sellers scrape it to see which of those numbers their product is really competing on.
The common uses we build for:
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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Daily scraping of lowest prices for 150K products on Allegro.pl to support marketplace pricing and margin optimization.
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Regular monitoring of Ralph Lauren clothing, footwear, and accessories sold across Amazon subdomains: AE, DE, ES, FR, IT, NL, PL, UK.
Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a fully managed web scraping service. You name the target sites and the fields you need; we build the crawlers, run them, maintain them when the source changes, and hand you clean structured data on a schedule. No infrastructure to run, no code to write, no crawlers to keep alive when a layout shifts.
We collect public data only, hold a GDPR and CCPA compliant posture, and will sign a confidentiality agreement before work starts. We do not bypass logins, paywalls or CAPTCHAs.
Yes. We record the preco a vista separately from the parcelamento: installment count, value per installment, and whether it is sem juros.
Yes. We capture the Vendido e entregue por field on each product, so listings sold by Magazine Luiza itself and listings from third-party sellers stay clearly separated.
Yes. You give us a list of postcodes and we run the frete calculation per product, returning cost and estimated delivery days for each CEP.
Yes. We collect star ratings, review counts and the full Portuguese review text with dates. We can also return a translated column alongside the original.
Daily is the normal baseline, and a focused SKU list can be refreshed several times a day. Frequency depends on catalogue size, since Magalu rate limits aggressively.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
