Lazada Scraper: Products, Reviews & Prices Across 6 Southeast Asia Markets

Extract Lazada product data, prices and customer reviews across Singapore, Malaysia, Thailand, Indonesia, Philippines and Vietnam in a single run - the practical Lazada API alternative for price monitoring, competitor research and product database building, billed at only $0.001 per result.

Main Use Cases

• Lazada price monitoring - track price, original price and discount over time to detect price drops, seller repricing and MAP violations.
• Competitor and market research - benchmark sellers, brands, ratings and units sold per keyword across six SEA markets.
• Product database building - assemble a structured product catalog (title, price, rating, review count, seller, brand, LazMall flag) for BI dashboards, Excel exports or ML pipelines.
• Review mining - scrape customer reviews into a dedicated dataset for sentiment analysis and product research.
• Cross-border price comparison - spot regional price gaps for the same product across SGD, MYR, THB, IDR, PHP and VND markets.
• Seasonal sale analytics - quantify discount depth during Lazada's 9.9, 11.11 and 12.12 mega-sale windows.

How It Works

Pick Search by keyword mode (one or more queries, run on every selected country site) or Crawl specific URLs mode (paste Lazada search or product URLs - the country is auto-detected from the domain). The actor calls Lazada's own internal JSON API from lightweight HTTP clients - no browser rendering - so runs are fast, cheap and return clean structured records.

Products are written to the default dataset. If you enable Fetch product reviews, each customer review becomes its own record in a separate, dedicated Reviews dataset, keyed back to its product via itemId and productUrl - products and reviews never mix. Lazada blocks datacenter IPs, so the proxy is pre-set to Apify Residential, which is required for reliable runs.

Monitor Lazada Prices Across Southeast Asia

Every listing returns price, originalPrice, discount and unitsSold in the local currency of each market, so you can run the same keywords on a schedule and compare snapshots over time. Use itemId as the natural join key across runs: a price change, a discount deepening, a stock flip or a seller swap all show up as clean diffs between datasets. Run daily for general price tracking and hourly during mega-sale windows (9.9 in September, 11.11 in November, 12.12 in December), when discounts of 30-60% on electronics and appliances are common and prices move fast.

Build a Product Database Without a Lazada API

Lazada has no open public API for bulk product-catalog access - the seller-facing Lazada Open Platform requires registration and approval and does not expose search-result or marketplace data to researchers. This actor is the practical alternative: it returns the same fields you would want from a catalog API (price, original price, discount, rating, review count, units sold, seller, brand, LazMall status, images, product URL) as structured JSON with no developer key, no login and no cookies. Export the dataset as JSON, CSV, Excel or HTML and feed it into your warehouse, spreadsheet or analytics stack. Deduplicate across keywords and markets with itemId, which stays stable per market.

Compare Shopee vs Lazada Market Data

Southeast Asia's ecommerce market is dominated by Shopee, Lazada and TikTok Shop (together ~98% of platform GMV in 2025), and Lazada retains the region's highest average order value with its strongest position in electronics and premium branded categories through LazMall. This actor gives you the Lazada side of that picture: run the same keyword in all six markets, then join with a Shopee scraper on normalized product keys (or itemId within Lazada) to compare price positioning, discount depth, seller dominance and LazMall vs. non-LazMall availability per market.

Input

Field	Type	Required	Default	Notes
mode	string (search / url)	Yes	search	search runs the queries on each selected country; url crawls the exact Lazada URLs provided.
country	array of string (SG MY TH ID PH VN)	Yes	["SG"]	Lazada country sites (lazada.sg, .com.my, .co.th, .co.id, .com.ph, .vn). Any subset works; each query runs in every selected market.
queries	array of string	No	["headphone"]	Keywords to search in search mode, e.g. "wireless earbuds", "iphone 15".
urls	array of string	No	-	Lazada URLs to crawl in url mode: search URLs (/catalog/?q=...) or product URLs (/products/...-i<id>.html). Country is detected from the domain; URLs outside the selected countries are skipped.
maxItemsPerKeyword	integer	No	40	Max products per keyword per country (search mode) or per URL (url mode). Lazada's API returns up to 80 products per page.
minRating	integer	No	0	Drop products whose average rating is below this value (0-5). 0 keeps everything.
fetchReviews	boolean	No	false	Scrape each product's top customer reviews into the separate Reviews dataset.
maxReviewsPerProduct	integer	No	10	Hard cap on reviews scraped per product. Lazada's reviews API returns ~5 reviews per page, so larger caps crawl more pages.
reviewConcurrency	integer	No	3	How many products fetch reviews in parallel (1-5). Each product uses its own sticky proxy IP; lower to 1 if you see empty reviews without a residential proxy.
proxy	object	No	{"useApifyProxy": true, "groups": ["RESIDENTIAL"]}	Apify proxy picker. Lazada blocks datacenter IPs, so Apify Residential is required for reliable runs and especially for reviews.

Output

The actor writes to two separate datasets, each with its own tab in the run's Output view:

• Products dataset (default) - one record per product listing.
• Reviews dataset - one record per customer review, only when Fetch product reviews is enabled.

Products dataset fields

Field	Description
market / currency	Market country code (SG, MY, TH, ID, PH, VN) and its currency.
keyword	The query (or URL-derived query) that returned this product.
itemId / skuId	Lazada product and SKU identifiers - use itemId as the stable key for dedup and cross-run joins.
title	Product name.
price / priceShow	Current price (numeric / formatted string with currency symbol).
originalPrice / originalPriceShow	Pre-discount price (numeric / formatted).
discount	Discount label, e.g. "62% Off".
ratingScore	Average product rating (0-5).
reviewCount	Number of reviews on the listing.
unitsSold	Units sold label, e.g. "60 sold" (or "1.7K sold").
sellerName / sellerId	Seller identity - useful for seller research and brand benchmarking.
brand / brandId	Brand identity.
isLazMall	Whether the listing is a LazMall (official / verified brand) product.
inStock	Stock availability.
location	Ship-from location shown by Lazada.
image / images	Main product image URL and thumbnail array.
productUrl	Canonical product page URL.
fetchedAt	ISO timestamp when the record was scraped.

Reviews dataset fields

Field	Description
reviewId	Review ID.
buyerName	Reviewer (masked) name.
rating	Star rating 1-5.
reviewTime	Review date.
skuInfo	Purchased variant (color / size family) when available.
likeCount	Number of likes on the review.
content	Review text.
media	Array of attached photos / videos (cover URL + optional video URL).
productTitle / productUrl / itemId / sellerId	Link back to the reviewed product.
market / currency / keyword	Present when the product came from a search.
fetchedAt	ISO timestamp when the review was scraped.

Example Input

Search mode - two keywords across Singapore and Malaysia:

{
  "mode": "search",
  "country": ["SG", "MY"],
  "queries": ["wireless earbuds", "smartphone"],
  "maxItemsPerKeyword": 40,
  "minRating": 0,
  "fetchReviews": false,
  "proxy": { "useApifyProxy": true, "groups": ["RESIDENTIAL"] }
}

URL mode with reviews - crawl an exact search page and one product page:

{
  "mode": "url",
  "country": ["SG"],
  "urls": [
    "https://www.lazada.sg/catalog/?q=headphone",
    "https://www.lazada.sg/products/pdp-i2866897728.html"
  ],
  "maxItemsPerKeyword": 40,
  "fetchReviews": true,
  "maxReviewsPerProduct": 10,
  "reviewConcurrency": 3,
  "proxy": { "useApifyProxy": true, "groups": ["RESIDENTIAL"] }
}

Example Output

Products dataset record:

{
  "market": "SG",
  "currency": "SGD",
  "keyword": "headphone",
  "itemId": 3465291594,
  "skuId": 22969904653,
  "title": "Tune 710 BT Wireless Bluetooth Headphones Over-Ear Noise Canceling Wired Earphones",
  "price": 15.15,
  "priceShow": "$15.15",
  "originalPrice": 40,
  "originalPriceShow": "",
  "discount": "62% Off",
  "ratingScore": 4.88,
  "reviewCount": 17,
  "unitsSold": "60 sold",
  "sellerName": "Orin 3C Fan",
  "sellerId": 1154457080,
  "brand": "No Brand",
  "brandId": 39704,
  "isLazMall": false,
  "inStock": true,
  "location": "China",
  "image": "https://my-live-01.slatic.net/p/4d0204791fde0147d02a69ffb9d2aa03.jpg",
  "images": ["https://my-live-01.slatic.net/p/4d0204791fde0147d02a69ffb9d2aa03.jpg"],
  "productUrl": "https://www.lazada.sg/products/pdp-i3465291594.html",
  "fetchedAt": "2026-09-18T12:00:00.000Z"
}

Reviews dataset record (one row per review, stored in the separate Reviews dataset):

{
  "market": "SG",
  "currency": "SGD",
  "keyword": "headphone",
  "itemId": 3465291594,
  "sellerId": 1154457080,
  "productUrl": "https://www.lazada.sg/products/pdp-i3465291594.html",
  "productTitle": "Tune 710 BT Wireless Bluetooth Headphones Over-Ear Noise Canceling Wired Earphones",
  "reviewId": 197816692097728,
  "buyerName": "j***e",
  "rating": 5,
  "reviewTime": "2026-06-04",
  "skuInfo": "Color Family:[NEW] Lunar Blue",
  "likeCount": 2,
  "content": "Excellent sound quality and the battery lasts for days. Highly recommended.",
  "media": [
    {
      "coverUrl": "https://sg-test-11.slatic.net/p/e19d531c72f388bd2a9045a9953200ab.jpg",
      "videoUrl": null,
      "mediaType": 1,
      "height": null,
      "width": null
    }
  ],
  "fetchedAt": "2026-09-18T12:00:00.000Z"
}

Integrations & Automation

Because this is an Apify actor, every run output is available through standard platform integrations:

• Apify API - start runs and read datasets programmatically from any application.
• Schedules - run daily for price monitoring, weekly for catalog snapshots, or hourly during 9.9 / 11.11 / 12.12 sale windows. Recurring usage also improves the actor's Store recommendations.
• Webhooks - get notified when a run finishes and pipe results into your pipeline.
• Data export - download datasets as JSON, CSV, Excel or HTML directly from the run page.
• MCP / AI agents - call the actor from Claude, GPT or any MCP client to fetch Lazada product data on demand.

Related Actors

• Shopee Scraper - Shopee listings by keyword, category or URL across Brazil and Southeast Asia for price monitoring and seller intelligence.
• Shopee Scraper - All In One - Shopee product, search, category and shop data across multiple countries.
• Shopee Product Scraper - Live Stock & Prices - live Shopee stock, price, discount, units sold and rating data across all 8 markets.
• Lazada Scraper | All-In-One - product data from multiple Lazada sites with optional review enrichment.
• Lazada Scraper - unofficial Lazada API for keyword- and category-based data extraction.

FAQ

Is there a Lazada API?

There is no open public API for bulk product-catalog access. Lazada's seller-facing Open Platform exists for merchants but requires registration and approval, and it does not expose search-result or marketplace data for market research. This actor is the practical Lazada API alternative: it returns product, price and review data from all six Lazada storefronts as structured JSON, with no developer key, no login and no cookies.

How do I scrape Lazada product data?

Choose Search by keyword mode, pick one or more of the six country sites, add your queries (e.g. wireless earbuds, smartphone), optionally enable Fetch product reviews, and start the run. Results are written to the dataset as individual product records, ready to export as JSON, CSV or Excel. Use Crawl specific URLs mode when you already have exact Lazada search or product URLs.

Do I need proxies to scrape Lazada?

Yes - Lazada blocks datacenter IPs and gates its reviews API even harder than search. The actor defaults to the Apify Residential proxy (useApifyProxy: true, groups: ["RESIDENTIAL"]), which is required for reliable runs. Review requests automatically rotate residential IPs and retry with backoff up to 4 times per page.

How can I track Lazada price drops?

Run the same input on a schedule (daily is enough for most categories) and join consecutive datasets on itemId. Compare price, originalPrice and discount across snapshots to detect repricing, deepening discounts and stock flips. During mega-sale windows (9.9, 11.11, 12.12) prices move hourly, so run more frequently if you track campaign depth.

Can I scrape Lazada customer reviews?

Yes. Enable Fetch product reviews and each review becomes a record in the separate Reviews dataset with rating, text, author, date, variant and media, linked back to its product. Keep maxReviewsPerProduct low (10-20) unless you need deep review mining, and keep the residential proxy on - the reviews API is more aggressively protected than search.

Shopee vs Lazada - which data can I compare?

Lazada and Shopee both operate storefronts in Singapore, Malaysia, Thailand, Indonesia, Philippines and Vietnam. This actor provides the Lazada side: price, original price, discount, units sold, rating, seller and LazMall status per keyword and market. Join its output with a Shopee scraper on normalized product or keyword keys for a full SEA marketplace view - differentiators like Lazada's higher average order value and electronics strength vs. Shopee's volume leadership are visible directly in the data.

What are the best-selling products on Lazada?

Use the unitsSold field (e.g. 1.7K sold), ratingScore and reviewCount to rank products per keyword and market. isLazMall shows which listings are official brand stores, and discount reveals promotional intensity. Run the same keywords during and outside sale windows to see how best-sellers shift for 11.11 and 12.12.

How is this different from other Lazada scrapers?

Capability	Typical Lazada scrapers	This actor
Price per product result	$0.0024 - $0.03 (e.g. automation-lab ~$0.0024, fatihtahta $0.00299, dtrungtin $0.03 + $0.05 start)	$0.001
Customer reviews	Often separate actors charging $0.009 - $0.01 per review	$0.001 per review in a dedicated dataset
Start fee	$0.05 - $0.10 on several actors	$0.00005 (minimum compute, no browser)
Markets in one run	Usually 1-2 at a time	All 6 SEA markets with per-market sessions in parallel

Verified against live Apify Store listings at the time of writing; per-event prices vary by your Apify plan tier.

Is scraping Lazada legal?

This actor only accesses publicly available product, price and review data - no login-gated or private content. You are responsible for complying with Lazada's Terms of Service and the laws applicable to your use case, and for how you use personal data (see the disclaimer below).

SEO Keywords

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For AI Agents & LLM Apps

Purpose: returns Lazada product listings (and optionally customer reviews) as structured JSON for given keywords and country markets, or for explicit Lazada search/product URLs.

Minimal working input (only required fields):

{
  "mode": "search",
  "country": ["SG"],
  "queries": ["wireless earbuds"]
}

URL-mode variant (when you have exact URLs instead of keywords):

{
  "mode": "url",
  "country": ["SG"],
  "urls": ["https://www.lazada.sg/catalog/?q=headphone"],
  "fetchReviews": true,
  "maxReviewsPerProduct": 5
}

Output fields (products dataset): market, currency, keyword, itemId, skuId, title, price, priceShow, originalPrice, originalPriceShow, discount, ratingScore, reviewCount, unitsSold, sellerName, sellerId, brand, brandId, isLazMall, inStock, location, image, images, productUrl, fetchedAt.

Output fields (reviews dataset, only when fetchReviews is true): market, currency, keyword, itemId, sellerId, productUrl, productTitle, reviewId, buyerName, rating, reviewTime, skuInfo, likeCount, content, media, fetchedAt.

Behaviors an agent should know:

• Reviews are written to a separate Reviews dataset, never the products dataset - read the second dataset to get review records.
• mode is required: set "search" to use queries, or "url" to use urls (queries are ignored in url mode). country is required in both modes; URLs whose domain is outside the selected countries are skipped.
• maxItemsPerKeyword caps products per keyword per country (default 40, range 1-500). If unset, the default applies.
• minRating filters out products below a rating threshold before writing results (default 0 = keep all).
• Enabling fetchReviews triggers additional billed events (one per review scraped). Set maxReviewsPerProduct to bound that cost.
• The default proxy is Apify Residential and is effectively required - expect FAIL_SYS_USER_VALIDATE gating or empty reviews if it is disabled.

Billing: $0.001 per product result, $0.001 per review, $0.00005 per run start (pay-per-event; plan-tier discounts may apply).

Legal & Compliance Disclaimer

This actor is an independent community tool and is not affiliated with, endorsed by, or sponsored by Lazada Group or any of its brands. It accesses only publicly available Lazada catalog, search and review pages - it does not bypass logins, solve CAPTCHAs, or access seller-admin or buyer-account data. Users are solely responsible for complying with Lazada's Terms of Service and with the laws applicable to their use case and jurisdiction. Review output can include reviewer identifiers and review text, which may be considered personal data in some jurisdictions (for example GDPR or CCPA for data of EU or California residents) - do not use it for unsolicited commercial outreach in violation of applicable law, and process it in line with applicable data-protection rules. This section is factual disclosure, not legal advice.