The Entire Iherb Supplements Catalog, Captured End-to-End in 3 Days
Scraping supplement products from iHerb.com with full details, including descriptions and packaging variations.
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You name the departamento pages, search terms, seller pages or código do produto lists and the fields you need. We build the crawlers, run them on your schedule and repair them when Americanas changes its markup. The pages are JavaScript-heavy and rate-limited, and price, freight and availability shift with the CEP, so we pin the postal codes you care about and keep every run reproducible. Output arrives as CSV, JSON, XLSX, straight into your database or through an API. You run nothing.
One Americanas page can show a price under Vendido e entregue por and a different price under Outros vendedores at the same moment, so we model the catalogue one row per offer, keyed on codigo do produto plus seller, rather than one row per product.
Beyond the visible price block, several things on Americanas only appear if you go looking for them:
Americanas (americanas.com.br) is one of the largest general merchandise marketplaces in Brazil, the online arm of a department store chain that has been on Brazilian high streets for decades. The catalogue runs from smartphones, TVs and home appliances to toys, groceries, books, beauty and furniture, and it mixes two very different kinds of offer: goods sold and shipped by Americanas itself, and goods listed by third-party sellers under the Vendido e entregue por line on the product page.
Everything is written in Brazilian Portuguese and priced in reais, with the comma as decimal separator (R$ 1.299,90). Freight, delivery promise and sometimes availability change with the shopper's CEP, and some offers add a store pickup option that only exists because the chain has physical shops behind it, so a listing has no single correct state until you fix the region you are collecting for.
Get a QuoteDevelopers
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
Brazilian retail competes on the installment plan as much as on the sticker price: an offer at 12x sem juros can beat a cheaper rival that only allows 3x. Any team pricing against Americanas needs both numbers side by side and refreshed daily, not a single price string.
Brands read the Outros vendedores block to find unauthorized resellers sitting on their own código do produto, and to see which seller currently holds the Vendido e entregue por slot. Retailers compare assortment and price against Mercado Livre, Magazine Luiza and Amazon Brazil to find gaps and overpriced lines. Category managers track how many first-party offers versus marketplace offers fill a departamento, and where their products rank on search and category pages. Product teams read Portuguese-language avaliações at volume to spot defects, delivery complaints and the wording that converts.
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 tell us the target sites and the fields you need; we build the crawlers, run them, maintain them when the target site changes, and deliver structured data on the schedule you choose. There is no infrastructure for you to run and no code for you to write.
We collect public data only, never anything behind a login, paywall or CAPTCHA, hold a GDPR and CCPA compliant posture and will sign a confidentiality agreement. Plans start from EUR 199.
We collect only publicly visible pages. No logins, paywalls or CAPTCHAs are bypassed, and we keep a GDPR and CCPA compliant posture.
Yes. Installment count, value per installment and the sem juros or com juros flag come back as separate fields, not one text string.
Yes. We record the Vendido e entregue por seller on the winning offer plus every competing seller listed under Outros vendedores.
You choose the postal codes. We pin each run to that list, so freight and delivery estimates stay comparable between one crawl and the next.
CSV, JSON, XLSX, into your database or via API, on your schedule. Plans start from EUR 199, depending on SKU volume, fields and frequency.
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