Our Daraz scraper keeps the five Daraz storefronts apart, each with its own catalog, shops and currency - three of them print Rs. for three different rupees.
Plans from €169/month · Free project assessment · Reply within 1 business day
You name the Daraz storefronts, the categories, keywords, brands or shops to follow, and the delivery locations to price against; we build the crawlers, run them and fix them when Daraz changes a page. Prices, delivery options and reviews load through scripts behind a check on automated traffic, so rendering, pacing, proxy rotation and CAPTCHA handling are part of the service rather than a task left with you.
Runs are one-off or on your schedule - daily for price work, more often around a Flash Sale. Scheduled exports arrive as CSV, XLSX or JSONLines in Amazon S3, Google Drive or by e-mail, or the rows load straight into your database, with field documentation attached. Every project starts with a free assessment of the scope.
Our Daraz product scraper reads two layers, the search tile and the product page behind it, and joins them on the SKU printed in the specification table. Daraz builds that string from the item number, the storefront code and the variant number - every SKU on daraz.pk has PK in the middle - so it names one buyable version of a product, stays the same from run to run and keeps rows from different storefronts apart.
Delivery fees and dates follow the address set on the page, so we fix one location per city you care about and write it into each row.
On Daraz the search filters are the coverage tool. A broad keyword reports tens of thousands of items found, yet the page numbers stop far short of that at forty products a page, so a complete pull is cut into slices: category, brand, price band, rating, the Shipped From province (Punjab, Sindh, Khyber Pakhtunkhwa and the rest, or Overseas) and the Service & Promotion boxes - Mall, Flash Sale, Free Delivery, Choice, Coins, Buy More Save More, New Arrival. The Condition filter separates Brand New from Daraz Like New stock.
Shop pages add the follower count and the store's own Products tab, so one shop can be followed as a unit.
To track Daraz price history, we repeat the same slices every day: the price, crossed-out price and discount columns then become a Daraz price tracker per SKU, reaching back to your first run. Reviews come with the star rating, the text and buyers' photos, next to the questions shoppers asked. Reviewer names are personal data and stay out by default, which still leaves a Daraz review dataset fit for sentiment and defect analysis.
Daraz started in Pakistan and is part of Alibaba Group today. It runs five storefronts: daraz.pk, daraz.com.bd, daraz.lk, daraz.com.np and shop.com.mm, the Myanmar site that trades under the name Shop. Each opens in English with a local language one click away - Urdu, Bengali, Sinhala, Nepali or Burmese - and each keeps its own catalog, sellers and promotions.
Currency is where Daraz data goes wrong most easily. Bangladesh prices in taka, but Pakistan, Sri Lanka and Nepal all print Rs. in front of the number, and those are three different rupees. A row without a storefront and a currency code cannot be compared with anything.
Inside a storefront, products come from two kinds of sellers. Daraz Mall gathers brand stores and authorised sellers under a Mall badge with an authenticity promise; everyone else is a marketplace shop, many of them small traders who file goods under No Brand. Items ship from a local province or from overseas, are paid by card, wallet or Cash on Delivery, and arrive at the door or at a Daraz Pick up Point. Groceries have their own section, and Flash Sale is a standing block of the home page.
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€199 / one-time
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →The first use is price monitoring with the country attached. Brands and distributors follow the Daraz price in Pakistan, the price in Bangladesh, the price in Sri Lanka and the price in Nepal for the same model, each in its own currency, and see where a reseller undercuts the list price.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
ScrapeIt is a managed web scraping service: we build, run and repair the crawlers and hand over the data, so your team works with tables rather than scripts. Storefronts like Daraz, where one brand sells across five countries, three rupees and a crowd of small shops, are the kind of source we set up with the most care. Personal data is handled under GDPR, and we do not build profiles of individual shoppers. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Yes. The ScrapeIt Daraz API returns the SKU, selling and crossed-out price, discount, sold count, shop name and Positive Seller Ratings as JSON from an endpoint we host, updated on the schedule you choose. The same rows also come as CSV or XLSX files, a JSON feed or a load into your database.
Yes. Product pages, prices, shop ratings and reviews on Daraz open for any visitor without an account. We collect only publicly available data - everything a visitor can see on Daraz - and we collect it legally. Reviewer names stay out of the dataset by default.
Yes, and the Myanmar site Shop as well. Each storefront is crawled on its own because catalogs and sellers differ, then merged into one table with a storefront column and a currency code, so Pakistani, Sri Lankan and Nepali rupees never mix.
Daily runs cover ordinary price tracking. Flash Sale slots and campaign days such as 11.11 move faster - prices, discount labels and stock notes can change within a day - so we raise the frequency for the campaign window and lower it again afterwards.
Yes. For each product we collect the average rating, the number of ratings, the five-to-one star breakdown and the review texts with their photos, plus the questions shoppers asked and the answers they received. Reviewer names are left out by default.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Daraz data from €169/month. Free project assessment, reply within 1 business day.
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