Lazada Scraper: Products, Prices, Sold Counts and Reviews

From The Mine Works, makers of Amazon Product Scraper and Taobao Products Scraper, with over 245,000 runs across 280+ public actors.

Updated 26 Oct 2026: first release. Keyword search, tag and category links and product links on all six Lazada storefronts (Singapore, Malaysia, Thailand, Indonesia, the Philippines, Vietnam); price, price before discount, discount, rating, review count, sold count, seller, brand and ship-from location, optional product page details and optional customer reviews, one flat row each. Bookmark this Actor on its Store page so it is one click away next time.

Why choose this actor?

• The numbers a seller or a buyer compares, in columns. price, price_original, discount_percent, rating, review_count and sold_count are separate fields in the storefront's own currency, next to seller_name, brand and location (where the product ships from). No text to clean before you sort a keyword by units sold or by discount.
• Six countries from one input. Pick Singapore, Malaysia, Thailand, Indonesia, the Philippines or Vietnam, type the keyword the way shoppers there type it (Thai and Vietnamese work), or paste a Lazada link from any of the six sites.
• Reviews as rows. Turn on includeReviews and every product gets its newest (or most relevant) reviews as extra rows: stars, text, date, variant bought, helpful votes and pictures. Filter by star rating.
• Pay per product, nothing for a page Lazada will not serve. A search page that stays blocked is skipped with an error row and no charge, the $0.003 run fee is charged only after the first page returned products, and duplicates, rows outside your price or rating range and the summary row are never charged. No Lazada account, cookies or API key.

Part of The Mine Works E-commerce and marketplaces family: Ozon.ru Scraper, ⭐ Amazon Reviews Scraper, Amazon Product Scraper, Etsy Listings Scraper, AliExpress Scraper, Kleinanzeigen.de Scraper.

Guide and FAQs: Lazada Scraper on themineworks.com.

Before you run: Lazada's bot check

Lazada protects its search with a bot check (called Baxia). It answers a share of requests with a small challenge page, a slider, instead of the product data. This actor does not run a browser, does not solve the slider and does not log in. When it gets the challenge page, it drops that connection and asks again through a new IP, up to 40 times per page. Each try uses one of five sets of ordinary desktop browser headers (Safari, Edge, Firefox, Chrome) and one of four Apify Proxy pools (US residential, datacenter, residential from any country, residential from the storefront's own country), and the actor keeps using whichever is being answered. That matters: in our tests Singapore residential IPs were often refused on lazada.sg while US residential IPs on the same page were answered every time. Every challenge is counted in the run summary (http_challenged, search_challenge_share).

How often the challenge comes is not constant. In our tests of 26 Oct 2026 the share of search requests that were answered ran from about 5 percent to about 95 percent, changing from one minute to the next and from one country to another. A request that is answered is complete: 40 products with every field. So:

• A run usually finishes at full speed, but in a bad stretch it is slow, and a page that stays blocked after 40 tries is skipped. The run then records an error row for it (no charge) and goes on; three pages in a row that fail end the run, and the summary row says so.
• Failed tries are tiny (a few KB each), so a bad stretch costs time, not money. If a run comes back short, run it again a few minutes later.
• Reviews and product pages are not behind the same check and are answered almost every time.

Try it in one minute

Paste this into the input (JSON view) and press Start. It returns the first 40 products for "phone case" on Lazada Singapore. It took 7 seconds in our test run:

{
  "searchQueries": ["phone case"],
  "country": "SG",
  "maxItems": 40
}

Put several keywords on separate lines to run several searches at once, or paste a Lazada link into startUrls. A product that two of your searches find is delivered once.

Apify's free plan includes $5 of credit every month, which covers about 1,300 products at this actor's price.

Copy to your AI assistant

themineworks/lazada-scraper on Apify. Reads Lazada (Singapore, Malaysia, Thailand, Indonesia, Philippines, Vietnam) by keyword, search, tag or category link, or product link, and returns one flat row per product with price, price before discount, discount, rating, review count, sold count, seller, brand and ship-from location, with no login. Optional customer reviews as extra rows. Call ApifyClient("TOKEN").actor("themineworks/lazada-scraper").call(run_input={"searchQueries": ["rice cooker"], "country": "SG", "maxItems": 100}), then client.dataset(run["defaultDatasetId"]).list_items().items. Give searchQueries (list of keywords, searched on the country storefront: SG, MY, TH, ID, PH or VN) and/or startUrls (list of lazada.sg, lazada.com.my, lazada.co.th, lazada.co.id, lazada.com.ph or lazada.vn search, tag, category or product links); up to 100 searches. Optional: maxItems (default 50, 1 to 5000, per search; Lazada serves at most 4080 per search), sortBy (popularity, priceasc, pricedesc), minPrice, maxPrice, minRating (1 to 5), includeDetails (default false; adds images, description, category_path, variant_options and on lazada.sg specifications and seller rating), includeReviews (default false), maxReviewsPerProduct (default 20, 1 to 1000), reviewSort (newest or relevance), reviewStars (0 for all, or 1 to 5). Product rows have record_type "product" and carry item_id, title, product_url, image_url, images, price, price_text, price_original, discount_percent, discount_text, currency, rating, review_count, sold_count, sold_text, seller_name, seller_id, brand, brand_id, location, in_stock, is_sponsored, badges, category_ids, keyword, position, search_page, total_results, country, marketplace, scraped_at, and with details on category_path, description, variant_options, sku_count and more. Review rows have record_type "review" and carry review_id, item_id, rating, content, review_time, review_date, buyer_name, sku_info, like_count, image_urls. Each run also writes one row with _type "summary", one with _type "info" when products were delivered, and a row with _type "error" for each input that could not be read; none of these is charged. Lazada's bot check blocks a share of requests: the summary has http_challenge_share. Full spec: GET https://api.apify.com/v2/acts/themineworks~lazada-scraper/builds/default (Bearer TOKEN), which returns inputSchema and readme. Token: https://console.apify.com/account/integrations?fpr=ymnoit&utm_source=apify-readme&utm_medium=referral

Key features

• Keyword, search link, tag, category or product link. Type keywords, or paste a link such as https://www.lazada.sg/catalog/?q=rice+cooker, a tag page such as https://www.lazada.vn/tag/ao-thun/, a category page such as https://www.lazada.co.id/shop-mobiles/, or a product page ending in .html. Filters that are in a search link (price, brand, location) are kept.
• 40 products a page, up to 4,080 per search. That is the most Lazada serves for any one search, however many results it reports (it said 34,927 for "phone case" on lazada.sg and served 4,080). To go further into a big keyword, run it with several keywords and with price ranges (minPrice and maxPrice), or with both price sorts.
• Price, discount, rating, reviews and sold count from the search card. One request returns 40 products with all of them, so a card-only export is fast and light: about 37 KB on the wire for a page of 40.
• Sold count as a number. Lazada shows 4.3K sold; the row has sold_count 4300 and sold_text "4.3K sold". Lazada rounds it, so treat it as approximate above a thousand.
• Product page details (optional). includeDetails reads each product's own page for the full picture set, description, category path and variant options (colour, size). On lazada.sg the page also has the seller's positive rating, the specification table and the rating breakdown (5 stars to 1).
• Product links work in every country. A product link returns one row: price, rating and review count from the product's review summary, and sold count, price before discount, discount, brand and seller name from the search card the actor finds by searching the product's own title. If that search does not turn the product up, those fields stay empty (9 of 12 product links found it in our tests). Turn on includeDetails to add the product page details.
• Customer reviews. Newest first or most relevant, optionally one star count only, up to 1,000 per product, 50 a page, with masked buyer name, the variant bought, helpful votes, pictures and the seller's reply when there is one.
• Stops cleanly. Two pages in a row with nothing new end a search; three blocked pages in a row end the run; the run stops before its time limit and keeps every row it read. The summary row says why.

How to use it

Basic: the first 200 results of a keyword

{
  "searchQueries": ["wireless earbuds"],
  "country": "SG",
  "maxItems": 200
}

Five pages of results, one row per listing. Sort the rows by sold_count to see what actually sells, or by discount_percent to see the deepest deals.

Price monitoring: the same keyword every day

{
  "searchQueries": ["samsung galaxy s25"],
  "country": "MY",
  "maxItems": 300,
  "sortBy": "pricedesc"
}

Schedule the run and compare the rows on item_id and price. price_original and discount_percent show when a product goes on promotion.

Competitor research in a price band

{
  "searchQueries": ["rice cooker"],
  "country": "TH",
  "minPrice": 1000,
  "maxPrice": 3000,
  "minRating": 4,
  "maxItems": 500
}

Prices are in the storefront's currency (baht here). Lazada applies the price range itself; the actor checks it again on every row, so a row outside the range is never delivered or charged.

Category research from a link

{
  "startUrls": ["https://www.lazada.co.id/shop-mobiles/"],
  "maxItems": 200
}

Tag and category links are read the same way as a search. A category link that Lazada's search front end does not serve as a product list gets an error row and no charge.

One country at a time, several keywords

{
  "searchQueries": ["เครื่องซักผ้า", "พัดลม", "หม้อทอดไร้น้ำมัน"],
  "country": "TH",
  "maxItems": 100
}

Each keyword is its own search, labelled in keyword. For the same product in several countries, run once per country, or paste the search links of each country into startUrls.

Products with their pages and reviews

{
  "searchQueries": ["air fryer"],
  "country": "SG",
  "maxItems": 30,
  "includeDetails": true,
  "includeReviews": true,
  "maxReviewsPerProduct": 20,
  "reviewStars": 1
}

Each of the 30 products gets its page read and up to 20 one-star reviews as extra rows (record_type is review). Use reviewStars: 0 for all stars.

Specific products

{
  "startUrls": [
    "https://www.lazada.sg/products/pdp-i2863110242.html",
    "https://www.lazada.com.my/products/pdp-i4799342542.html"
  ],
  "includeReviews": true,
  "maxReviewsPerProduct": 50
}

Input parameters

Parameter	Type	Default	What it does
searchQueries	array of strings	empty	Keywords, one search each, searched on the storefront of country.
country	string	SG	SG, MY, TH, ID, PH or VN. Links in startUrls keep their own country.
startUrls	array of strings	empty	Lazada search, tag, category or product links from any of the six storefronts.
maxItems	integer	50	Most products per search (per keyword or per link), 1 to 5,000; Lazada serves at most 4,080. Product links are not counted.
sortBy	string	popularity	popularity (best match), priceasc or pricedesc.
minPrice, maxPrice	number	none	Price range in the storefront's currency.
minRating	integer	none	Only products rated at least this many stars (1 to 5). Unrated products are kept.
includeDetails	boolean	false	Reads each product's page (for search rows and product links): all pictures, description, category path, variant options (and on lazada.sg the specifications and seller rating).
includeReviews	boolean	false	Delivers the reviews of each product as extra rows.
maxReviewsPerProduct	integer	20	1 to 1,000.
reviewSort	string	newest	newest or relevance.
reviewStars	integer	0	0 for all, or 1 to 5 for that star count only.
proxyConfiguration	object	Apify Proxy, mixed	Leave as is: the actor mixes four Apify Proxy pools and favours whichever Lazada answers. Pick a group or a country only to force that one pool, or give your own proxy URLs.

Give searchQueries, startUrls or both. Up to 100 searches and 2,000 product links per run.

What data do you get?

One row per product, and one row per review when reviews are on. Product rows have record_type "product", review rows "review"; the summary, info and error rows have a _type field instead, so a filter on either separates them.

Field	What it is
item_id, sku_id	Lazada item id (from the product link) and the id of the default variant
title, product_url	Listing title and link
image_url, images	Main picture, and the picture links (the whole gallery with details on)
price, price_text, currency	Current price as a number, as Lazada shows it, and the currency code
price_original, discount_percent, discount_text	Price before discount, the discount in percent, and as shown (42% Off)
rating, review_count	Average stars (1 to 5) and the number of ratings
sold_count, sold_text	Units sold as a number and as shown (4.3K sold)
seller_name, seller_id	The store and its id
brand, brand_id	Brand; Lazada writes No Brand for unbranded products
location	Where the product ships from, e.g. China, Singapore, Bangkok
in_stock, is_sponsored	Stock flag, and whether the position is a paid placement
badges	Promotion labels on the card, e.g. Voucher save 12%
category_ids	Lazada category ids of the card, root first
category_path, description, variant_options, sku_count, video_id	From the product page (with includeDetails)
specifications, rating_breakdown, seller_url, seller_positive_rating, store_sold_text, shop_id, max_order_quantity	From the product page on lazada.sg (about 1 product in 3 there)
details_scraped, details_error	Whether the product page was read, and why not when it failed
keyword, source_url, sort_by, position, search_page, total_results	The search that found the product, its place in it, and the number of results Lazada reports (at most 4,080)
country, marketplace, scraped_at	Storefront country and host, and when the row was written

Review rows: review_id, item_id, product_url, product_title, rating (stars of that review), content, review_title, review_time (as shown, e.g. 14 Feb 2026 or 5 days ago), review_date (as YYYY-MM-DD when Lazada gives a date or a number of days or hours; empty for "2 weeks ago" style dates, use bought_date_iso then), bought_date, bought_date_iso, buyer_name (masked by Lazada, e.g. P***e), is_verified_purchase, sku_info (the variant bought), like_count, image_urls, video_url, seller_reply, review_page, country, marketplace, scraped_at.

Summary row (_type: "summary", never charged): searches_requested, searches_read, searches_failed, pages_read, products_found, products_delivered, reviews_delivered, charged_for, reviews_charged_for, duplicates_skipped, filtered_out, details_ok, details_failed, http_requests, http_challenged, http_challenge_share (percent of requests Lazada's bot check answered with the challenge page), search_challenge_share, header_sets and proxy_pools (how each header set and proxy pool fared), http_megabytes, ended_on_deadline, stopped_by_max_cost, stopped_by_block_guard, shortfall_reason when fewer rows came back than asked, and per_search, one entry per search with pages, products_found, products_delivered, total_results and why it stopped. The same summary is saved as the OUTPUT record of the run.

Error rows (_type: "error", never charged): one per input that could not be read, with error_type (invalid_url, blocked, not_found), identifier, reason and http_status.

Stable fields for automations

These were present in every product row of our test runs, and their names will not change:

Field	What it is
item_id	The key to store and join on (with country)
title	Listing title
product_url	Link to the product
price	Current price
currency	Currency code
country	Storefront
record_type	product or review
scraped_at	When the row was written

Optional, present only when Lazada shows a value: price_original and discount_percent (only on discounted products), rating and review_count (new products have none), sold_count, seller_name, brand, location (a few products have no ship-from), badges, and everything that comes from the product page.

Output examples

One product from the "phone case" search on Lazada Singapore (test run, 26 Oct 2026, trimmed):

{
  "record_type": "product",
  "item_id": "2106281997",
  "title": "0.4mm Ultra Thin Camera Protect Matte Case for IPhone 18 17 Air 17 Pro Max 16 Pro Max 15 Pro Max iPhone 15 Plus 14 Plus 14 13 Pro Max 13 Mini 12 11 Pro X XS Max XR 8 7 Plus SE 2020 SE3 2022 Anti Fingerprint Soft PP Phone Case",
  "product_url": "https://www.lazada.sg/products/pdp-i2106281997.html",
  "image_url": "https://sg-live-01.slatic.net/p/b3c6e023cf1b33564115f49550e89885.jpg",
  "price": 2.6,
  "price_text": "$2.60",
  "price_original": 4.31,
  "discount_percent": 40,
  "discount_text": "40% Off",
  "currency": "SGD",
  "rating": 4.72,
  "review_count": 473,
  "sold_count": 2500,
  "sold_text": "2.5K sold",
  "seller_name": "Nugokanaly 3C Store",
  "seller_id": "1142514049",
  "brand": "No Brand",
  "location": "China",
  "in_stock": true,
  "is_sponsored": false,
  "badges": ["Coin save $0.13"],
  "keyword": "phone case",
  "position": 1,
  "search_page": 1,
  "total_results": 4080,
  "country": "SG",
  "marketplace": "www.lazada.sg"
}

A product from a product link in Malaysia, with includeDetails on (test run, 26 Oct 2026, trimmed):

{
  "record_type": "product",
  "item_id": "14984794757",
  "title": "Luxury Magnetic Clear Phone Case for iPhone 18 17 Pro Max 16 15 14 13 Pro Max 18Pro 17Pro Camera Stand Holder Protection Cover",
  "product_url": "https://www.lazada.com.my/products/pdp-i14984794757.html",
  "price": 12.95,
  "price_text": "RM12.95",
  "price_original": 20.71,
  "discount_percent": 37,
  "currency": "MYR",
  "rating": 4.8,
  "review_count": 10,
  "sold_count": 55,
  "seller_name": "Ailinhe",
  "seller_id": "100100813",
  "location": "China",
  "category_path": ["Cases & Covers"],
  "variant_options": { "Color Family": ["Plum", "Blue", "Light Blue", "Orange", "Black", "Grey"] },
  "sku_count": 102,
  "details_scraped": true,
  "country": "MY"
}

A review row:

{
  "record_type": "review",
  "review_id": "472320886594757",
  "item_id": "14984794757",
  "product_title": "Luxury Magnetic Clear Phone Case for iPhone 18 17 Pro Max 16 15 14 13 Pro Max 18Pro 17Pro Camera Stand Holder Protection Cover",
  "rating": 3,
  "content": "Reka bentuk xsama dgn gambar . Minta 17promax bagi 17pro",
  "review_time": "5 days ago",
  "review_date": "2026-10-21",
  "bought_date_iso": "2026-10-13",
  "buyer_name": "1***5",
  "is_verified_purchase": true,
  "sku_info": "Color Family:Black, Compatibility by Model:iPhone17 Pro Max",
  "like_count": 0,
  "country": "MY"
}

An error row for a link that is not a Lazada link (nothing charged):

{ "_type": "error", "error_type": "invalid_url", "identifier": "https://example.com/not-lazada", "reason": "Not a Lazada link this actor can read. Use a search link such as https://www.lazada.sg/catalog/?q=phone+case, a tag or category link, or a product link ending in .html, from lazada.sg, lazada.com.my, lazada.co.th, lazada.co.id, lazada.com.ph or lazada.vn." }

Pricing

Pay per event: you pay for the products you receive, plus a flat $0.003 per run, whatever memory you choose. Reading product pages costs nothing extra. Reviews are charged per review, only when you turn them on.

Event	When it is charged	Free plan	Bronze (Starter)	Silver (Scale)	Gold (Business)
product-scraped	Once per product row stored in your dataset	$3.59 per 1,000	$2.69 per 1,000	$1.79 per 1,000	$1.69 per 1,000
review-scraped	Once per review row stored in your dataset (only with includeReviews)	$3.59 per 1,000	$2.69 per 1,000	$1.79 per 1,000	$1.69 per 1,000
run-start	Once per run, after the first results page returned products	$0.003	$0.003	$0.003	$0.003

The price of one product is the price per 1,000 divided by 1,000.

Never charged:

• links that are not Lazada links (each gets an error row);
• a search page that Lazada's bot check kept blocked, and a product link whose page and review summary could not be loaded;
• a product that a second search of the same run finds again;
• products past your maxItems, and products outside your price or rating range;
• the summary, info and error rows;
• a run with no valid input, or one whose searches return no products: the start fee is charged only once a results page has returned products;
• anything past your "Max cost per run". The actor checks the budget before each batch of rows, reviews included, and stops while the total is still below your limit, so the run ends SUCCEEDED with a partial result and a status message saying so.

Run it on a schedule

1. Open the actor in Apify Console, set your input and click Save as a new task.
2. In the task, open Schedules, click Add schedule and pick how often (every day, every Monday at 08:00 and so on).
3. Compare runs on item_id, price and sold_count to see price changes, new promotions and which products are selling.
4. Optional: add an integration (Google Sheets, Slack, a webhook) so each run lands where your team works.

FAQ

What does this actor read?

Lazada's public search, tag, category and product pages and the review list of each product, on the six storefronts, as anyone sees them without logging in. It does not log in, add anything to a cart or read account data. The robots.txt of the six storefronts (checked 26 Oct 2026) disallows only the login and sign-up paths and /undefined paths; the search, tag, category, product and review addresses this actor uses are not among them.

Do I need an account, cookies or a proxy?

No Lazada account and no cookies. The default is Apify Proxy, included: the actor mixes US residential, datacenter, any residential and local residential IPs and favours whichever Lazada is answering. Traffic is small: about 1 to 2 KB per product from the search pages (1.4 KB for 400 products in our test, with 79 percent of requests challenged), about 1 KB per review, and about 75 KB per product page when you turn on includeDetails. See "Before you run" above for what the bot check means for speed. See "Before you run" above for what the bot check means for speed.

How many products can I get?

Up to 4,080 per search (102 pages of 40) and 100 searches per run. That is the most Lazada serves for any one search, however many results it reports. A search ends when Lazada says there are no more pages, two pages in a row bring nothing new, or maxItems is reached.

Why did a run return fewer products than I asked for?

Most often because Lazada's bot check blocked a page for the whole 40 tries (the summary row shows search_challenge_share, and per_search shows stopped: "blocked"). Run it again a few minutes later. The other reasons are in shortfall_reason: the max cost was reached, the time limit came close, or the search simply had fewer results.

Why do some rows have no sold count, seller name or discount?

Rows from a search have all of them. A row from a product link takes its price, rating and review count from the product's review summary, and gets the sold count, price before discount, discount and seller name only if the search for the product's own title finds the product. sold_count is also empty for the few products that Lazada shows without a sold figure.

What is the difference between includeDetails on and off?

Off, each row comes from the search card: title, price, price before discount, discount, rating, reviews, sold count, seller, brand, location and a few pictures. On, the product page adds the full gallery, description, category path and variant options (and on lazada.sg, for about one product in three, the specification table and seller rating). On is slower and costs the same, for search rows and product links alike.

Can I get reviews?

Yes: includeReviews, up to 1,000 per product, newest first or most relevant, optionally one star count only. Buyer names are masked by Lazada. Reviews are charged per review, on top of the product.

How long does a run take?

In our tests of 27 Oct 2026: 7 seconds for the "Try it" input (40 products), 150 seconds for 400 products of one keyword while Lazada challenged 79 percent of requests, 578 seconds for 80 products in each of the six storefronts plus a category link, 113 seconds for 30 products with their pages and 252 reviews, and 145 seconds for 6 product links with 26 reviews. A run in a heavy bot check stretch takes several times longer, because each page needs more tries. The default time limit is 3,600 seconds; the actor stops before it and keeps every row.

Which formats can I download?

JSON, CSV, Excel, XML, RSS and HTML from the run's Storage tab or through the API. The dataset has four ready views: Products, Prices and sales, Sellers and brands, and Reviews. In CSV and Excel, variant_options and specifications are flattened into columns such as variant_options/Color Family/0.

Can I use it from Claude, ChatGPT or Cursor (MCP)?

Yes, through Apify's MCP server. Connector URL: https://mcp.apify.com/?tools=themineworks/lazada-scraper

• Claude: Settings > Connectors > Add custom connector, paste the URL, sign in with Apify.
• ChatGPT: turn on developer mode, add an MCP connector with the URL, sign in with Apify.
• Cursor or VS Code: add it as an HTTP MCP server with that URL.
• Claude Code: claude mcp add -t http lazada-scraper "https://mcp.apify.com/?tools=themineworks/lazada-scraper"

Is it legal to scrape Lazada?

The actor reads only public listings and reviews that anyone can see without logging in. You are responsible for how you use the data, including Lazada's terms and data protection law such as GDPR and the Singapore PDPA. Buyer names on reviews are masked by Lazada; do not try to identify the people behind them. This is general information, not legal advice.

Integrations

• Google Sheets: send each run's products to a sheet with Apify's Google Sheets integration; one row per product fits a sheet as is.
• Make, Zapier and n8n: start a run and read its dataset with the Apify apps and nodes, for example "price changes for our brand's keyword every Monday to Slack".
• Webhooks: have Apify call your URL when a run succeeds, then fetch the dataset.
• API and SDKs: run it from Python or JavaScript with the Apify client, or with a plain HTTP call (see "Copy to your AI assistant" above).
• MCP clients: Claude, ChatGPT, Cursor and VS Code can run it as a tool through the connector URL in the FAQ.

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Jobs and hiring

• Foundit Monster India Jobs
• Hirist Jobs Scraper
• India Jobs MCP
• Naukri Jobs Scraper

Company and business data

• Company Domain Finder
• GST Taxpayer Lookup
• Company KYB Resolver
• SEC EDGAR Filings Scraper

Food and local services

• NoBroker Scraper
• Swiggy Restaurant Scraper
• Zomato Scraper

Developer and AI tools

• Website to Markdown Crawler
• GitHub Skill Finder
• GitHub Repo Scraper
• GitHub Trending Scraper

More tools

• G2 Reviews Scraper
• Naver Blog Scraper
• WeChat Article Scraper 微信公众号文章
• Taobao Products Scraper 淘宝 天猫

Support

Found a keyword that returns fewer products than it should, or a field that comes back empty? Open an issue in the Issues tab with the input and the run ID, and we will look at it. For a field you need or a new source, email dmineworks@gmail.com.

Search Lazada by keyword in six countries and get one row per product, with price, discount, rating, sold count, seller, brand and ship-from location, and optional reviews, no login.