Lazada Data Extraction: Collect Public Product Data Responsibly

MrScraper helps retailers, brands, and e-commerce analysts collect publicly available Lazada product data in a structured format. It captures product titles, prices, discounts, voucher labels, seller details, and ratings, and delivers the results as JSON or CSV ready for analysis.

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Before you start: Review Lazada's current terms for the storefront you are researching, collect only public data, and consider Lazada's official programs where they fit your use case. See Using Lazada Data Responsibly below.

Choosing the Right Approach

Common Use Cases

• Competitor price monitoring: Track prices and discounts for consumer electronics and other categories across Southeast Asian markets.
• MAP and reseller review: Brands can review how products are listed by third-party sellers and check alignment with Minimum Advertised Price policies.
• Assortment and availability research: Review which products and variants are listed in a category and how stock is indicated on the listing.
• Cross-market comparison: Compare pricing and promotions across Lazada's regional storefronts.
• Sentiment analysis: Use publicly displayed ratings and review information to understand customer satisfaction and common product issues.

What Data Can You Collect?

From publicly visible Lazada category pages, search results, brand store pages, and product pages, MrScraper can collect:

• Product title and brand: Listing name, brand, and model details.
• Current price: Active price in the local currency (IDR, MYR, PHP, SGD, THB, or VND).
• Original price and discount: Strike-through price and the discount shown on the listing.
• Vouchers and promotional tags: Voucher labels, free shipping badges, and campaign tags shown on the listing.
• Seller information: Store name and the public seller details displayed on the page.
• Store badges: Official store labels such as LazMall, where shown.
• Stock and availability indicators: Availability messages displayed on the listing.
• Item location: The dispatch location displayed on the listing.
• Ratings and review counts: Average star rating and total review count.
• Review content: Rating values, dates, purchased variants, and review text, where displayed publicly.
• Images and identifiers: Image links, canonical product URLs, and item IDs.

Field availability depends on what each page displays publicly, and not every listing shows every field. We recommend avoiding the collection of reviewer personal identifiers.

Programmatic Access with the API

Data engineering teams can retrieve rendered page content through the MrScraper API and parse it in their own pipeline. The example below fetches a public Lazada category page and extracts titles and prices.

import requests
from bs4 import BeautifulSoup
 
# Fetch a public Lazada category page through the MrScraper API
response = requests.get(
    "https://api.mrscraper.com",
    params={
        "url": "https://www.lazada.co.id/beli-handphone/",
        "token": "YOUR_MRSCRAPER_TOKEN",
    },
    timeout=30,
)
 
if response.status_code == 200:
    soup = BeautifulSoup(response.text, "html.parser")
    products = []
 
    for item in soup.select('div[data-qa-locator="product-item"]'):
        title_el = item.select_one(".RfADt a")
        price_el = item.select_one(".ooOxS")
        if title_el and price_el:
            products.append({
                "title": title_el.text.strip(),
                "price": price_el.text.strip(),
            })
 
    print(f"Extracted {len(products)} Lazada products.")

Page structure and CSS class names can change over time, so review and update the parsing logic periodically. See the MrScraper documentation for current API parameters, and the Web Scraper API and Pricing pages for plan details.

Coverage Across Southeast Asia

Lazada operates separate regional storefronts, each with its own currency, seller base, and promotional calendar:

• Indonesia (lazada.co.id): Prices in Indonesian Rupiah (IDR).
• Malaysia (lazada.com.my): Prices in Malaysian Ringgit (MYR).
• Philippines (lazada.com.ph): Prices in Philippine Peso (PHP).
• Singapore (lazada.sg): Prices in Singapore Dollar (SGD).
• Thailand (lazada.co.th): Prices in Thai Baht (THB).
• Vietnam (lazada.vn): Prices in Vietnamese Dong (VND). Because prices, delivery options, and vouchers differ by country, MrScraper lets you choose the country context for a job so the results reflect what shoppers in that market see.

How to Collect Lazada Data with MrScraper

1. Create your account: Sign up for MrScraper to receive 1,000 free Plan Tokens.
2. Create a new scraper: Select New ScrapeGPT on the homepage and paste the URL of a public Lazada page.
3. Launch a bulk job: Select the scrapers you created on the Scrapers page, choose Multiple URLs, and paste your URLs or import an .xlsx or .xls file.
4. Choose a country context (optional): If you need prices, currency, or promotions for a specific Southeast Asian market, select that country for the job.
5. Define your fields: Describe what you need in plain language, for example: "Extract product titles, current prices, original prices, discount percentages, seller name, LazMall status, star ratings, review counts, and product links."
6. Schedule and export: Run the job on demand or on a recurring schedule (hourly, daily, or weekly). Download results as JSON or CSV, or send them to your database or Amazon S3 with Webhooks.

Example Input URL

https://www.lazada.co.id/beli-handphone/

Sample Output (JSON)

Results appear in the dashboard as a dataset you can preview before downloading. The example below is abbreviated, and fields vary by listing.

[
  {
    "item_id": "5716392946",
    "product_name": "Oppo A6C (4/64Gb)(4/128Gb) Unisoc T7250 7000Mah Reverse Wired Charging Official Guarantee",
    "price": "Rp2.799.000",
    "discount": "26% Off",
    "promotion": "Voucher save 26%",
    "units_sold": "699 sold",
    "rating": "4.9",
    "review_count": 269,
    "item_location": "Kota Jakarta Utara",
    "url": "https://www.lazada.co.id/products/pdp-i5716392946.html"
  },
  {
    "item_id": "18821329593",
    "product_name": "Infinix Smart 20 4/64Gb & 4/128Gb - Official 1 Year Warranty",
    "rating": "4.9",
    "review_count": 385,
    "url": "https://www.lazada.co.id/products/pdp-i18821329593.html"
  }
]

Sample Output (CSV)

Using Lazada Data Responsibly

Responsible data collection protects both your business and the platforms and sellers you research. We recommend the following practices:

• Collect public data only: Limit collection to listing information, prices, and seller details that any visitor can see without signing in. Do not access private account areas.
• Review the platform's rules: Read the current terms of use for each Lazada storefront you research, along with its robots.txt, and follow any restrictions that apply to your use case.
• Consider official programs first: Lazada's Open Platform (open.lazada.com) is designed for sellers and approved software providers managing their own stores. If it covers your needs, it may be the most appropriate route.
• Keep request volumes reasonable: Use moderate concurrency and sensible schedules, and avoid running large jobs during major sale events when load is highest.
• Protect personal data: Avoid collecting information that identifies individual buyers or reviewers, and store and use any data in line with the privacy and data protection laws of the countries you operate in.
• Respect content rights: Product images, descriptions, and review text may be protected by copyright. Avoid republishing them in ways that could infringe the rights of sellers or Lazada.
• Get legal advice for your situation: The legality of data collection depends on jurisdiction, the type of data, how it is collected, and how it is used. This page is general information, not legal advice. Read more in our guide on web scraping and the law.

Frequently Asked Questions

1. What is Lazada data extraction used for?

It is used to gather publicly available listing information, such as prices, discounts, ratings, and seller details, for purposes like competitor price tracking, MAP monitoring, availability review, and regional sentiment analysis.

2. Does Lazada offer an official API?

Lazada operates the Lazada Open Platform, which is intended for sellers and approved software providers managing their own stores, orders, and listings. Access is subject to registration and approval. Whether it covers your research needs depends on the data you require, so review the Open Platform documentation first. MrScraper can complement it when you need to work with publicly displayed pages, subject to the practices described above.

3. What data can be collected from Lazada listings?

From category pages, search results, and product pages: titles, current and original prices, discounts, voucher labels, brand and seller names, store badges, availability messages, item location, ratings, review counts, images, and canonical URLs.

4. Can I collect data from different country storefronts?

Yes. MrScraper supports Lazada's six storefronts: Indonesia, Malaysia, the Philippines, Singapore, Thailand, and Vietnam. You can choose the country context for a job so currencies, vouchers, and delivery information reflect that market.

5. Can I collect seller information?

Yes. Publicly displayed seller details, such as the store name and any official store badge (for example LazMall), can be collected. Brand teams use this to review how their products are listed across sellers.

6. Can I collect ratings and reviews?

Yes. Publicly displayed star ratings, review counts, and review content can be collected for sentiment analysis. We recommend avoiding reviewer personal identifiers.

7. Can I track prices and promotions over time?

Yes. Schedule recurring jobs (hourly, daily, or weekly) to log prices, discounts, and voucher labels, including during regional sale events such as 9.9, 11.11, and 12.12.

8. What export formats are available?

Download results as JSON or CSV from the dashboard. You can also receive data through the REST API, stream it with Webhooks, or send it to Amazon S3.

9. Can I use MrScraper without coding?

Yes. Paste a Lazada category or product URL into the dashboard, describe the fields you want in plain language, and preview and download the results as JSON or CSV.

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