Lazada Product Scraper — Price Tracker, Stock & Sales API

What is Lazada Price Tracker?

Lazada Price Tracker watches Lazada prices, discounts, stock and sales over time on all six Lazada storefronts — Indonesia, Malaysia, Singapore, Thailand, the Philippines and Vietnam. Schedule it daily or hourly on your products, a search or a competitor's shop, and every run tells you what changed since the run before: 📉 price drops, 📈 price rises, 📦 sell-outs and restocks, 🆕 new listings and how many units sold in between.

It is also a full Lazada scraper and an unofficial Lazada API: product details with every variant's price and stock, search results, whole shop catalogs with 7- and 30-day sales, and ⭐ reviews with photos and seller replies. No login, no cookies, no official API key. Download the rows as JSON, CSV or Excel, or read them through the API, webhooks or an AI agent over MCP.

📈 How to monitor Lazada prices on a schedule

1. Put your product URLs, a keyword or a shop URL into the input.
2. Type any name into 📈 Watchlist name, for example my-competitors.
3. Press Save & Start, then Schedule the Actor (daily or hourly) with the same input.

Every run compares itself with the previous run of the same watchlist. Each row gets:

Field	Example	Meaning
changeType	price-down	new, price-down, price-up, stock or unchanged
previousPrice → price	35 → 31.54	price at the previous run and now
priceChange, priceChangePercent	-3.46, -9.89
previousStockStatus, stockChanged	out_of_stock, true	sold out or back in stock
soldDelta, soldLast7DaysDelta	42	units sold since the previous run
daysSincePrevious	1

The run's status line sums it up — "5 rows. Since the previous run: 1 price-down, 1 price-up, 1 stock, 1 new." — and the 📈 Price & stock changes tab of the dataset shows only the comparison columns. Filter on changeType != "unchanged" in a webhook, Make, n8n or Zapier step to get an alert only when something moved.

A monitoring run (a watchlist name or a previous dataset in the input) always reads live data: prices and stock are read at run time, never from a saved copy, so a change shows up in the run that follows it. Product rows of a monitoring run are therefore live rows and are priced as such (see the price table).

The comparison itself is free. The history lives in a named key-value store on your own Apify account (lazada-watch-<name>), so nothing is lost between runs and items that drop out of a search keep their last known price. For a one-off comparison you can instead pick an earlier dataset in 📈 Compare with a previous run dataset.

What data can Lazada Scraper extract?

📦 Product details (one row per product URL)

Field	Example	Notes
title, brand	HADA LABO Hydrating Cleansing Oil 200ml, Hada Labo
price / priceText	44.54 / RM44.54	current sale price, number and as printed
originalPrice, discountPercent	65.5, 32	strike-through price and Lazada's discount
priceMin / priceMax	44.54 / 44.54	across all variants
flashSaleActive / flashSaleSold	true / 182	LazFlash counters while a flash sale runs
rating, ratingCount, ratingDistribution	5, 1903, {"5":1862,"4":36,"3":1,"2":1,"1":3}	full star histogram
stockStatus, orderLimitMin/Max	in_stock, 1 / 200
variations[]	{skuId, name: "Black / 128 GB", options, price, originalPrice, discountPercent, stockStatus}	every variant with its own name, price and stock
seller	{id, name, url, positiveRatingPercent: 99, soldByStore: 615400, storeAgeYears: 9, repurchaseRatePercent: 47}	shop link and store badges
vouchers[]	["10% off","Min. spend RM60, Cap RM10"]
categories[]	["Beauty","Makeup","Makeup Removers"]	breadcrumb
deliveryText, deliveryEstimateMin/Max	Priority 48H, 2026-11-03	delivery window
images[], specifications, description	gallery, spec table, plain text

Saved copy (default) or ⚡ Live data

By default a product row is built from Lazada's own saved copy of the product page. It takes about a second per product, needs no browser, and carries the whole record: every variant with its price and stock, specifications, seller, rating, vouchers, delivery options. A saved copy is not the live page. Lazada makes it on its own schedule: in our measurement of 72 products across the six storefronts the copies were between a few minutes and five and a half days old (half of them older than 29 hours), and on 4 products in 10 the price or the stock of some variant was no longer what the live page showed. Every such row says so:

Field	Example	Meaning
dataFreshness	saved-copy	saved-copy or live
dataAsOf	2026-11-13T10:32:55.865Z	when the prices and stock on the row were current
dataAgeHours	29.4	how old they were when the row was written; 0 for live rows
dataNote	"…come from Lazada's saved copy of the product page, made …"	the same in words

Turn on ⚡ Live data when you need the price and stock as they are right now — repricing, stock checks, anything a decision hangs on. The Actor then reads every product at run time through a browser session in the storefront's country and never takes a saved copy. It is slower: the first product of each storefront waits 20–45 seconds for the session, the rest take about a second each. A live row is billed as product_detail_live instead of product_detail (see the price table).

In Thailand and Vietnam a saved copy usually carries the title, categories and specification names in the storefront's own language, while a live read may return Lazada's English translation of them.

About one product in five has no full saved copy on Lazada's side. Those are read live in either mode, the row says dataFreshness: "live", and when you did not ask for live data it is still billed as a plain product_detail.

🔍 Search results and 🏪 shop products (one row per product card)

Field	Example	Notes
title, brand, url, image
price, originalPrice, discountPercent	95.55, 147, 35
priceAfterVoucher	85.99	where Lazada shows a voucher price
rating, ratingCount	4.96, 1287
soldTotal	4230	lifetime units sold
soldLast7Days / soldLast30Days	14 / 41	🏪 shop products Lazada features on the shop home page
stockStatus, location	in_stock, Selangor
seller	{id, name, url}
query / shopUrl, shopFollowers	air fryer / shop link, 133176

⭐ Reviews (one row per review)

Field	Example
rating	5
reviewContent	no fragrant. smooth and moist my skin so thoroughly…
reviewAuthor	Y***n (masked by Lazada)
reviewDate / reviewDateText	2026-10-03 / 4 weeks ago
variation	Volume:200 ml
likes, images[], videos[]	2, review photos, review videos
sellerReply	Glad to serve you…
productTitle, itemId, url	the reviewed product

Every row starts with type (product, product_card, review or error), carries country and currency, and ends with scrapedAt. Each mode writes one row type, so the table is never a mix.

💰 How much does it cost to scrape Lazada?

Pay only for the rows you get. Error rows (wrong URL, delisted product, no reviews) are free.

Event	Free plan	Bronze	Silver	Gold+
product_detail — one 📦 full product row	$3.20 / 1,000	$2.40 / 1,000	$1.60 / 1,000	$1.60 / 1,000
product_detail_live — one 📦 product row read live at run time (⚡ Live data or a monitoring run), charged instead of product_detail	$8.90 / 1,000	$7.90 / 1,000	$6.90 / 1,000	$6.50 / 1,000
product_card — one 🔍 search or 🏪 shop card	$3.20 / 1,000	$2.40 / 1,000	$1.60 / 1,000	$1.60 / 1,000
review — one ⭐ review row	$1.20 / 1,000	$1.03 / 1,000	$0.87 / 1,000	$0.79 / 1,000

product_detail_live applies from the day it appears in the price list on this page (Apify lets a price change once a month; it is due in December 2026). Until then live rows are billed as product_detail.

Apify also charges a small start fee per run ($0.005 per GB of memory, about $0.01 per run). On a paid plan that is about 625 products per $1, and a 388-product shop catalog costs about $0.63. Set Max cost per run in the run options and the Actor stops exactly there, with everything written already paid for.

How to scrape Lazada with Lazada Scraper

1. Pick 🧭 What to scrape: 📦 Product details, 🔍 Search results, 🏪 Shop products or ⭐ Reviews.
2. Paste product URLs, keywords (and choose a 🌎 Country), or shop URLs.
3. Set 💯 Max products (and ⭐ Max reviews per product for reviews).
4. Press Start, then download the dataset as JSON, CSV or Excel, or read it through the API.

⬇️ Input

📦 Product details

{
  "mode": "product",
  "productUrls": [
    "https://www.lazada.com.my/products/pdp-i135513465-s153555036.html",
    "https://www.lazada.co.th/products/pdp-i124821653.html"
  ]
}

The same products with prices and stock read at run time:

{
  "mode": "product",
  "productUrls": ["https://www.lazada.com.my/products/pdp-i135513465-s153555036.html"],
  "liveData": true
}

🔍 Search results

{
  "mode": "search",
  "country": "th",
  "searchQueries": ["air fryer", "rice cooker"],
  "maxItems": 200
}

The Actor walks Lazada's result pages (40 cards each) until it has maxItems cards per keyword.

🏪 Shop products

{
  "mode": "shop",
  "shopUrls": ["https://www.lazada.com.my/shop/my-mentholatum/"],
  "maxItems": 500
}

The whole "All products" catalog of the shop, page by page.

⭐ Reviews

{
  "mode": "reviews",
  "productUrls": ["https://www.lazada.com.my/products/pdp-i135513465-s153555036.html"],
  "maxReviewsPerProduct": 100,
  "reviewsRating": "all"
}

⬆️ Output

📦 Product row

{
  "type": "product",
  "itemId": "135513465",
  "skuId": "153555036",
  "title": "HADA LABO Hydrating Cleansing Oil 200ml (Upgraded Formula)",
  "brand": "Hada Labo",
  "url": "https://www.lazada.com.my/products/pdp-i135513465-s153555036.html",
  "country": "my",
  "currency": "MYR",
  "price": 44.54,
  "originalPrice": 65.5,
  "discountPercent": 32,
  "rating": 5,
  "ratingCount": 1903,
  "ratingDistribution": {"1": 3, "2": 1, "3": 1, "4": 36, "5": 1862},
  "stockStatus": "in_stock",
  "seller": {
    "id": "100040635",
    "name": "MY Mentholatum",
    "url": "https://www.lazada.com.my/shop/my-mentholatum/",
    "positiveRatingPercent": 99,
    "soldByStore": 615400,
    "storeAgeYears": 9
  },
  "vouchers": ["10% off", "Min. spend RM60, Cap RM10"],
  "deliveryEstimateMin": "2026-11-03",
  "dataFreshness": "saved-copy",
  "dataAsOf": "2026-10-30T07:12:03.118Z",
  "dataAgeHours": 29.5,
  "dataNote": "Prices, stock, vouchers, delivery dates and rating counts on this row come from Lazada's saved copy of the product page, made 2026-10-30T07:12:03.118Z (29.5 hours before this run). They may have changed since. Turn on \"Live data\" in the input to read them at run time.",
  "scrapedAt": "2026-10-31T12:39:41.350Z"
}

🏪 Shop card

{
  "type": "product_card",
  "itemId": "442671647",
  "title": "Hada Labo Hydrating Lotion Rich 170ml x2 - For Normal / Dry skin",
  "price": 95.55,
  "originalPrice": 147,
  "discountPercent": 35,
  "rating": 4.96,
  "ratingCount": 1287,
  "soldTotal": 4230,
  "soldLast7Days": 14,
  "soldLast30Days": 41,
  "stockStatus": "in_stock",
  "seller": {"id": "100040635", "name": "MY Mentholatum", "url": "https://www.lazada.com.my/shop/my-mentholatum/"},
  "shopFollowers": 133176
}

⭐ Review row

{
  "type": "review",
  "itemId": "135513465",
  "productTitle": "HADA LABO Hydrating Cleansing Oil 200ml (Upgraded Formula)",
  "rating": 5,
  "reviewContent": "no fragrant. smooth and moist my skin so thoroughly. highly recommended to buy.",
  "reviewAuthor": "Y***n",
  "reviewDate": "2026-10-03",
  "reviewDateText": "4 weeks ago",
  "variation": "Volume:200 ml",
  "likes": 2,
  "sellerReply": "Glad to serve you and to know that you like our service and product."
}

Use cases for Lazada data

Price monitoring and repricing

Schedule a watchlist on your competitors' product URLs: changeType, priceChange and flashSaleActive show every price move the day it happens, and stockChanged shows when a competitor sells out or restocks — the moment to raise your own price.

MAP and brand monitoring

Brands watch resellers on a search or shop watchlist and get a row with changeType: price-down whenever someone undercuts the minimum advertised price.

Sales tracking

soldDelta between scheduled runs of a shop or search watchlist estimates how many units each product sold per day.

Competitor shop analysis

🏪 Shop mode returns a competitor's whole catalog with prices, discounts, ratings and lifetime sold counts, plus 7- and 30-day sales for the products the shop features.

Market and assortment research

🔍 Search returns hundreds of cards per keyword with price, rating, sold count and seller — enough to map a category's price bands and which listings actually sell.

Review mining and product feedback

⭐ Reviews come with full text, attribute lines ("Effectiveness: …"), photos, videos and the seller's reply — ready for sentiment analysis, listing copy and support triage.

Catalogs for AI and RAG

Flat rows with stable field names drop into a spreadsheet, a database or a vector index without cleaning.

Integrations

• Apify API: run the Actor with run-sync-get-dataset-items and get JSON back in one call.
• Python / JavaScript: the apify-client package (example below).
• n8n, Make, Zapier, Google Sheets, Airtable: use the Apify integration or an HTTP node; set a max cost per run so a loop cannot overspend.
• MCP server: AI agents can call it through the Apify MCP server (mcp.apify.com).
• Webhooks: subscribe to ACTOR.RUN.SUCCEEDED and fetch the dataset.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("blueskyscraper/lazada-product-scraper").call(run_input={
    "mode": "shop",
    "shopUrls": ["https://www.lazada.com.my/shop/my-mentholatum/"],
    "maxItems": 500,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["price"], item["currency"], item.get("soldTotal"))

🤖 For AI agents

Minimal input. {"mode": "product", "productUrls": ["https://www.lazada.com.my/products/pdp-i135513465-s153555036.html"]}. Keywords need a storefront: {"mode": "search", "country": "th", "searchQueries": ["air fryer"]}. A shop: {"mode": "shop", "shopUrls": ["https://www.lazada.com.my/shop/my-mentholatum/"]}.

Behaviour. maxItems caps products per keyword, per shop, or in total for product URLs. Prices are numbers in the local currency (IDR, SGD, MYR, THB, PHP, VND) — convert before comparing countries. soldTotal is a lifetime counter shown on search and shop cards; Lazada no longer prints it on product pages, so product rows carry seller.soldByStore instead. Error rows explain the failure and are never charged; kind: "no-results" means the target simply has nothing (no reviews, no matches).

❓ FAQ

Is it legal to scrape Lazada?

The Actor collects only public data that any visitor sees without logging in. Reviewer names arrive already masked by Lazada. Personal data is protected by laws such as GDPR and PDPA; if you are unsure about your use case, consult a lawyer.

Can I track Lazada prices automatically?

Yes. Give the run a watchlist name and add a schedule (daily, hourly or any cron). Each run compares itself with the previous one and marks every row new, price-down, price-up, stock or unchanged. Connect a webhook, Slack, Google Sheets, Make or n8n to receive only the changes.

Can I use Lazada Price Tracker with the Apify API?

Yes. Every run can be started, scheduled and read through the Apify API or the apify-client libraries for Python and JavaScript.

Can I use it through an MCP server?

Yes. Connect the Apify MCP server to Claude, ChatGPT or any MCP client and the agent can call blueskyscraper/lazada-product-scraper directly — for example "check my Lazada watchlist and tell me which competitor dropped the price today".

Can I integrate it with other apps?

Yes — n8n, Make, Zapier, Google Sheets, Airtable, Slack and webhooks all work through Apify integrations.

How much does a typical run cost?

100 products on a paid plan cost about $0.16 plus the $0.01 start fee. Reviews are $0.79–1.20 per 1,000.

Is there one row per product?

One row per product in 📦 Product details, one per card in 🔍 Search and 🏪 Shop, one per review in ⭐ Reviews. Error rows are rows too, but free.

Do I need Lazada cookies, a login or an API key?

No. The Actor needs only a residential IP in the storefront's country, which it provides itself.

Why is Singapore slower to start?

The Singapore storefront challenges some residential exits. The Actor rotates exits and falls back to Apify Proxy; the first minute can go to opening a session, after which products are fast.

How fresh are the prices on a product row?

It depends on the mode, and the row tells you. By default the row comes from Lazada's saved copy of the product page: dataFreshness is saved-copy and dataAsOf is the moment the copy was made, usually hours to a few days before your run. With ⚡ Live data on, and in every monitoring run, the product is read at run time and dataFreshness is live. Search and shop cards are always read at run time.

Why does a product row have no sold count?

Lazada removed the per-product sold counter from product pages. Use 🔍 Search or 🏪 Shop mode for soldTotal; product rows carry the store's total in seller.soldByStore.

Your feedback

Missing a field or a storefront feature? Open an issue on the Actor's Issues tab — we read every one and field requests ship fast. A short review on the Actor page helps other buyers find it.

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