Lazada Scraper for Product, Price and Seller Data

Lazada Data Scraper: Fields We Extract

A Lazada scraper starts with the two identifiers the site is built on. The itemId names the product; the skuId names one buyable variant. A product address ends in -i and the itemId; choose a colour and it gains -s and the skuId, while the canonical link drops the variant again. Lazada joins the two into a composite key carrying the venture code, and that key keeps a row stable between runs.

• Identity - itemId, skuId, the composite key, product and canonical URLs, and the storefront the row came from.
• Product - title, brand name and brand id, category path, description and highlight bullets, specifications and the image gallery.
• Variants - the property that splits the item into colour, size or model options, each value with its own image, skuId and address. Lazada warns shoppers that seller, warranty, return policy, lead time and shipping fee can change with the variant, so we treat the variant as the row.
• Price - the current price in local currency, the crossed-out original, the discount percentage and the cheapest variant of a multi-option item.
• Promotions - voucher tiles and their codes, coin rebates, subsidy tiles, campaign badges, LazFlash deals, free shipping and free gift markers, installments and combo prices.
• Availability - in stock, out of stock, and the low-quantity warning counting the last few units.
• Demand - star rating at full precision, review count, and the sold counter, abbreviated to a form like 4.3K sold past a thousand.
• Seller - seller name and id, the store address, and the LazMall flag that separates an official store from an ordinary one.
• Delivery - delivery options and fees, the get-by date, warranty type and duration, return policy and the shipped-from country.

Search and category pages return the same fields, so a Lazada product feed can start from a keyword list or from the category tree.

Lazada Price Tracker, Price History and Vouchers

Coverage is a design problem before it is a bandwidth problem. Search and category listings return forty items per page and cap the result set at roughly four thousand items per query - about a hundred pages - however large the category, and raising the page size does nothing. Full coverage comes from slicing: by category, brand, price band, shipped-from country and the service filters Lazada exposes, then merging on itemId. Those filters are worth keeping as data themselves: brand lists, price sliders and attribute facets show how each country organises the category.

Every storefront publishes its own sitemap index, split into gzipped files of ten thousand URLs covering products, sellers, brands, categories, reviews and top lists. Store and brand pages have their own address grammar and carry seller metrics - positive rating share, shipped-on-time share, chat response speed, seller size and time on the platform.

Repeated runs keyed on the composite key turn the price, crossed-out original, discount and voucher columns into a Lazada price history per variant and per storefront. Reviews are readable with text, rating, photos, purchase confirmation and timestamps; reviewer names are personal data and we leave them out by default.