Shopee is the leading mobile eCommerce platform across Southeast Asia and Latin America — and a daily shopping destination for hundreds of millions of users. From essentials to electronics, it hosts millions of listings and seller storefronts, adapting each local site to specific customer behavior. Our Shopee scraper helps you tap into this highly dynamic ecosystem, where trends shift fast, discounts shape behavior, and digital habits drive buying decisions.
We built our Shopee web scraper to make large-scale data collection effortless. You don’t need to worry about language barriers, changing page layouts, or API limits — just tell us what you’re looking for.
We scrape Shopee to extract structured product listings, seller names, category mapping, reviews, promotions, shipping options, and more — all delivered in the format that works best for your systems, from JSON to Excel or CSV. Fast, consistent, and ready to support your eCommerce analysis or sourcing strategy.
Shopee product listings come with rich, structured information that’s highly valuable for market analysis, product research, and price tracking. We extract product titles, prices (including discounts and flash sale tags), available variants (such as color or size), images, shipping details, stock levels, and seller information. This gives you a complete snapshot of what’s being sold, how it’s positioned, and what matters to customers in different regions.
When we scrape Shopee, we go beyond the product basics. Our scraper captures data from customer reviews, seller ratings, and Q&A sections to help you evaluate product performance and buyer sentiment. We also gather category structure, bestseller tags, time-limited deals, and regional availability — all of which are crucial for brands, resellers, and analysts looking to navigate competitive, fast-moving marketplaces.
Shopee is one of the largest e-commerce platforms in Southeast Asia and Taiwan, owned by Sea Group. Launched in 2015, it quickly became a leading marketplace in countries like Indonesia, Vietnam, Thailand, Malaysia, the Philippines, and Singapore, with further expansion into Brazil and Mexico. It connects millions of buyers and sellers across categories like fashion, electronics, beauty, and daily essentials.
What sets Shopee apart is its strong localization. Each country operates under its own domain (e.g., shopee.sg, shopee.co.id, shopee.com.br), offers services in local languages, supports region-specific currencies (such as SGD, IDR, THB, BRL), and provides tailored logistics and payment solutions.
More than just a shopping site, Shopee reflects real market dynamics and consumer demand in fast-growing regions. The platform is rich in product, seller, and promotional data — making it a valuable resource for brands, resellers, and data analysts looking to uncover trends, benchmark pricing, or understand how local e-commerce ecosystems function.
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Shopee is more than just an e-commerce platform — it’s a window into what sells, what’s trending, and how online retail works across different markets. From flash deals to bestsellers, its constantly shifting catalog reflects real customer behavior and pricing strategies in action.
By using our Shopee data scraper, you gain access to this fast-moving stream of insights. We extract key product and seller signals from Shopee, helping you understand what drives purchases, how brands position themselves, and where the demand is growing. With clean, structured data delivered by our Shopee scraper, you can turn this market activity into strategic action — whether you’re planning your offer, analyzing competitors, or exploring new regions.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
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.
Shopee is just one of many platforms we work with. At ScrapeIt, we deliver custom data extraction services across e-commerce, marketplaces, and vertical-specific websites worldwide. We don’t offer generic tools — we extract the exact data you need, structure it, and deliver it in a format that fits your workflow.
Our team monitors platform changes, adapts scrapers quickly, and ensures stable output — whether you’re tracking products, sellers, discounts, or categories. Need to extract data from Shopee or similar platforms? We’ll handle it for you, end to end.
Yes — we can export Shopee product data in CSV, Excel, or JSON formats, depending on what works best for your tools and workflow.
It captures product and seller data in real time, even during flash sales or daily updates.
Yes. Our parsing system accounts for regional versions of Shopee, including language and currency differences, ensuring consistent output no matter the country.
Shopee product data reveals real-time trends, pricing strategies, and competitive positioning — valuable for companies planning to launch or expand in Southeast Asia.
A product page is the full webpage, while product information refers to the specific elements we extract — like price, description, ratings, availability, and more.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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