Lazada Scraper

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.

Lazada Scraper
Solutions

How Our Lazada Data Collection Works

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.

What We Extract from Lazada Scraper

When we scrape Lazada, we extract structured and visible data from product listings across each regional domain. Here’s what we typically collect:

  • Product names, descriptions, and specifications — including brand, size, materials, and variant information (e.g., colour or model).
  • Pricing details — regular prices, discount prices, member-only deals, flash sale tags, and price ranges in local currency.
  • Stock availability — whether an item is in stock, out of stock, low in quantity, or regionally restricted.
  • Seller information — store name, rating, fulfillment type (LazMall or third-party), and shipping reliability.
  • Images and media — all visible product images and thumbnails shown on the listing.

What We Extract from Lazada Scraper
What Else Can Be Scraped from Lazada

What Else Can Be Scraped from Lazada

  • Customer reviews and ratings — total number of reviews, average star rating, and selected public feedback if available.
  • Category and filter data — brand filters, material tags, dietary or health attributes, price sliders, and sorting options.
  • Shipping details — estimated delivery times, shipping fees, seller-specific logistics methods, and free shipping badges.
  • Promotional elements — active campaign labels, time-limited deal markers, discount codes, and visual banners on listings.
  • Technical metadata — product IDs, listing URLs, country-specific SKUs, and category hierarchy breadcrumbs.

About Lazada

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.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Plans

Web Scraping Plans & Pricing

Customized plans that grow with your data needs.

Airplane

€199 / one-time

setup fee — included

Data limits100,000
Frequencyone-time
Run timeup to 5 days
Data storing7 days

Helicopter

€169 / mo

setup fee €499

Data limits250,000
Frequencymonthly
Run timeup to 5 days
Data storing14 days

Glasses

€229 / mo

setup fee €499

Data limits1,000,000
Frequencyweekly
Run timeup to 5 days
Data storing30 days

DNA

€549 / mo

setup fee €799

Data limits3,000,000
Frequency3 times daily
Run timesame day
Data storing90 days

Why Scrape Lazada Web Scraper?

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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About ScrapeIt

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.

FAQ

Can I export Lazada data for just one country?

Yes, you can export data from a single regional domain — like lazada.sg or lazada.co.id — or from multiple markets at once.

Do you use the same extractor for all Lazada regions?

No — we adjust the extractor for each country, since structure, language, and pricing formats differ across local sites.

How detailed is your parsing of Lazada product listings?

We parse product pages down to variant options, promo labels, and stock indicators — not just surface content.

Can your company scrape both LazMall and third-party sellers?

Yes, we extract data from both LazMall and independent stores — including pricing, seller info, and shipping methods.

What types of product data can I request from a Lazada product page?

We can collect full product information: title, price, images, stock, seller type, delivery options, and more.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
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