Lazada Scraper

Thunderbit’s Lazada Scraper helps you turn Lazada pages into clean, structured data using AI. You can extract product listings, prices, ratings, and seller details, then export to Excel, Google Sheets, Airtable, or Notion. With AI Suggest Fields, pagination support, and subpage scraping for product detail enrichment, you can build datasets fast for ecommerce ops, pricing research, and catalog monitoring.

🛍️ What is Lazada Scraper

The Lazada Scraper is an AI Web Scraper built into the ecosystem and delivered as a Chrome extension. You simply open (or any Lazada country site), click AI Suggest Fields, and then click Scrape to extract structured data from listings, brand directories, and product pages.

It’s designed for real-world ecommerce workflows: scrape pagination, handle infinite scroll where applicable, and use Subpage Scraping to visit each product page to capture deeper fields like SKU variants, specifications, and seller/store information.

🧾 What can you scrape with Lazada

Below are two high-value Lazada scraping workflows you can run with Thunderbit’s in a repeatable, spreadsheet-ready format.

🏬 Scrape LazMall Brand Directory Analysis

The LazMall directory is useful when you want a structured view of official brands, storefront links, and brand positioning. This is commonly used for brand research, assortment planning, and partner discovery.

Destination page example:

Steps:

1. Download the and register an account.
2. Go to the destination page, for example: .
3. Click AI Suggest Columns to let AI recommend the best column names and data types.
4. Click Scrape to extract the data, then export to Excel, Google Sheets, Airtable, Notion, CSV, or JSON.

Column names

Tip: After scraping the directory, use Subpage Scraping to visit each Brand Page URL and enrich your table with store metadata, featured categories, or top products.

📱 Scrape Tech & Electronics Price Index

This workflow is ideal for building a price index across mobile phones and electronics: track price changes, compare sellers, monitor ratings, and identify top SKUs. It’s commonly used by ecommerce operators, marketplace analysts, and pricing teams.

Destination page example:

Steps:

1. Download the and register an account.
2. Go to the destination page, for example: .
3. Click AI Suggest Columns to generate a ready-to-scrape table (you can edit fields anytime).
4. Click Scrape to collect results across pagination, then export your dataset.

Column names

Tip: Use Scrape Subpages on the results table to visit each Product URL and enrich your dataset with specifications (RAM/Storage), variant prices, warranty, and seller details.

🎯 Why Use Lazada Tool

Scraping Lazada is useful when you need repeatable, structured ecommerce data without manual copy/paste. Thunderbit is built for business workflows where speed and consistency matter.

Common reasons you might scrape Lazada:

• Ecommerce operations: Build competitor SKU lists, monitor price changes, and track promotions across categories.
• Brand and category research: Map LazMall brands, identify official stores, and analyze assortment coverage by market.
• Marketing and growth: Collect product metadata (titles, images, ratings) for creative testing, SEO research, and merchandising audits.
• Sales and partnerships: Discover stores/brands to contact, then enrich with subpage scraping for more context.
• Analytics teams: Create a price index dataset with timestamps, then refresh it using Scheduled Scraper for ongoing monitoring.

Thunderbit’s advantage is that it uses AI to read the page and structure the data, so you spend less time configuring brittle selectors and more time using the dataset.

🧩 How to Use Lazada Chrome Extension

1. Install the Thunderbit Chrome Extension: Get it from the and create your account.
2. Navigate to a Lazada page you want to scrape: For example, the or a category page like .
3. Activate AI-Powered Scraper: Click AI Suggest Columns to generate fields, adjust data types (price as number, rating as number, URL as URL), then click Scrape.
   Optional: run pagination scraping and subpage scraping to enrich each row with product detail fields.

If you also need contact data from external pages, Thunderbit includes free Email Extractor and Phone Number Extractor features (useful for lead research beyond marketplaces).

💳 Pricing for Lazada

Thunderbit uses a credit system:

• 1 credit = 1 output row (one row in your results table).
• The AI-powered scraping workflow (AI Suggest Fields + Scrape) is available to try right away.
• On the Free tier, you can scrape 6 pages per month.
• If you start a free trial, you can scrape 10 pages for free before choosing a paid plan.

Because Lazada category pages can contain many products, your cost depends on how many rows you extract. For example, scraping 5 pages with 100 products per page would produce about 500 rows, which would use about 500 credits.

Paid plans (monthly and yearly) scale with your volume, and the yearly plan is typically more cost effective due to the discount:

• Starter: $15 monthly or $9 monthly (billed yearly)
• Pro tiers increase credits for larger monitoring and catalog jobs

You can review the latest options on .

❓ FAQ

1. What is the AI Powered Lazada Scraper?
   The AI Powered Lazada Scraper is a workflow in Thunderbit that uses AI to detect fields on Lazada pages and convert them into a structured table. You click AI Suggest Columns, confirm the fields you want, and click Scrape to extract listings, prices, ratings, and more.
   It also supports pagination and subpage enrichment, which is useful when you need product specifications or seller details from individual product pages.

2. What is Thunderbit?
   is an AI web scraping and web automation Chrome extension designed for business users. It helps you extract structured data from websites, PDFs, and images, and export it to tools like Excel, Google Sheets, Airtable, and Notion.
   Thunderbit is commonly used by sales, ecommerce operations, marketing, and real estate teams that want faster data collection with less setup.

3. Can Thunderbit scrape Lazada pagination and infinite scroll pages?
   Yes. Thunderbit supports pagination scraping for pages that use numbered pages, “Next” buttons, or other navigation patterns. For pages that load more items as you scroll, Thunderbit can also handle infinite scroll behaviors depending on how the page renders content.
   This matters for Lazada category pages where you may need hundreds of products across multiple pages for a complete dataset.

4. What is subpage scraping and why does it matter for Lazada?
   Subpage scraping means Thunderbit can visit each product URL (or brand/store URL) and extract additional fields that are not visible on the listing page. On Lazada, listing cards often show only title, price, rating, and a few labels, while the product page contains specifications, variants, warranty, and seller information.
   Using subpage scraping, you can enrich your original table without building a separate workflow.

5. What data can I export after scraping Lazada?
   You can export to Excel, Google Sheets, Airtable, and Notion, or download as CSV or JSON. Export is designed to be straightforward so you can move from scraping to analysis quickly.
   If you export image fields to Airtable or Notion, Thunderbit can upload images into the destination’s media system so you can view them directly in your base or workspace.

6. How many rows can I scrape from Lazada in one run?
   The practical limit depends on your plan credits and the page structure, but many workflows target up to hundreds of rows per run (for example, up to 500 rows for a category snapshot). If you need larger datasets, you can scrape more pages, use cloud scraping where appropriate, and schedule recurring runs.
   For ongoing monitoring, it’s often better to scrape smaller slices more frequently rather than trying to capture everything in one run.

7. Should I use Cloud Scraping or Browser Scraping for Lazada?
   If the pages are publicly accessible and don’t require login, Cloud Scraping is usually faster because Thunderbit can process batches of pages efficiently. If you need to scrape content that depends on your session, location, or login state, Browser Scraping is a better fit because it runs inside your Chrome environment.
   Many Lazada category pages work well with cloud scraping, while account-specific pages typically require browser scraping.

8. Can I build a Lazada price tracker or price index with Thunderbit?
   Yes. A common approach is to scrape a category page (like mobiles), capture price, rating, review count, and product URL, then add a timestamp column. Over time, you can append new runs into the same Google Sheet to create a time series.
   For automation, Thunderbit’s Scheduled Scraper can run at intervals you describe in plain English, which is useful for weekly or daily price monitoring.

9. Where can I learn best practices for web scraping with AI?
   Thunderbit publishes practical guides on scraping workflows, exporting to spreadsheets, and handling complex pages. Start with the and these resources: , , and .
   If you’re scraping product catalogs, you may also like for transferable ecommerce scraping patterns.

📚 Learn More

• Get the extension:
• Explore product and use cases:
• Pricing and credits:
• Guides and tutorials: , ,
• Video content: