Lazada isn’t one marketplace - it’s six. Singapore, Malaysia, Thailand, the Philippines, Indonesia, and Vietnam each have their own version of the site, with unique products, prices, currencies, languages, and even sellers for the same items. With our Lazada scraper, you can collect localized data for each region: real-time prices in local currency, stock availability, LazMall vs. non-LazMall listings, country-specific deals, and active filters. It’s a fast way to see what people are really buying across Southeast Asia.
Our Lazada web scraper handles the full data extraction process - no tools, dashboards, or browser extensions needed. We collect exactly what you need, when you need it, across Lazada’s country-specific domains.
You choose what to extract: specific categories, sellers, price ranges, or stock data. We deliver clean, ready-to-use datasets in your preferred format - CSV, Excel, JSON, or any other. Just tell us your scope, and we’ll take care of the rest.
When we scrape Lazada, we extract structured and visible data from product listings across each regional domain. Here’s what we typically collect:
Lazada is a leading e-commerce platform in Southeast Asia, operating localized versions of lazada.com across six countries: Singapore (.sg), Malaysia (.my), Thailand (.co.th), Indonesia (.co.id), Vietnam (.vn), and the Philippines (.com.ph).
Each domain supports local language (e.g., English, Bahasa, Thai, Vietnamese) and currency, with unique catalogs, sellers, and delivery options per market.
Founded in 2012 and backed by Alibaba Group, Lazada combines global tech with local logistics, including its own fulfillment network. It also features LazMall, a dedicated space for authentic brands with faster shipping and return guarantees.
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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
A Lazada data scraper lets you track how the same product is priced, positioned, and promoted across six countries - each with its own listings, currencies, and rules. You can compare LazMall vs. third-party sellers, monitor country-specific deals, and extract data tied to real campaigns like 11.11 or 12.12.
It’s the fastest way to understand what sells where, how sellers localize offers, and how regional demand shifts across Southeast Asia.
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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 data extraction service that helps businesses access structured, ready-to-use information from platforms like Lazada. With our Lazada scraper, we collect the data for you - no setup, no coding, no tools required.
We work across e-commerce, retail, marketplaces, and classifieds, delivering clean datasets tailored to your needs. Whether you need full catalogs or targeted data from specific countries, we handle the scraping so you can focus on insights.
Yes, you can export data from a single regional domain - like lazada.sg or lazada.co.id - or from multiple markets at once.
No - we adjust the extractor for each country, since structure, language, and pricing formats differ across local sites.
We parse product pages down to variant options, promo labels, and stock indicators - not just surface content.
Yes, we extract data from both LazMall and independent stores - including pricing, seller info, and shipping methods.
We can collect full product information: title, price, images, stock, seller type, delivery options, and more.
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.
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