Daraz Product, Review & Seller Scraper

Scrape real Daraz products, reviews, and seller profiles - no coding, no manual copy-pasting. Get product name, price, discount, rating, and stock, real customer reviews with star ratings and seller replies, and seller trust stats (ratings, ship-on-time %, follower count), across every live Daraz market: Pakistan, Bangladesh, Sri Lanka, and Nepal.

What does this Daraz scraper do?

This Actor searches Daraz directly - by keyword or specific product URLs - and pulls three kinds of data in one run:

• Products - name, price, original price, discount %, rating, review count, seller, brand, stock status, sold count, full description, category, and images.
• Reviews - star rating, review text, photos, purchase/review dates, the (masked) buyer name, and any seller replies.
• Sellers - shop name and URL, positive rating %, ship-on-time %, chat response rate, and follower count.

Run it across all 4 countries at once, or narrow it to specific markets. Run it on-demand, on a schedule, or trigger it via the Apify API - full run monitoring built in, with optional Discord/Slack notifications when a run finishes.

Why scrape Daraz?

• Price monitoring - track prices, discounts, and stock across products and sellers over time.
• Reputation & review analysis - see what customers actually say, star ratings, and how sellers respond.
• Competitive & market research - compare pricing and seller trust signals across Pakistan, Bangladesh, Sri Lanka, and Nepal.
• Lead generation - build a structured dataset of active sellers (name, ratings, follower count) for outreach or market mapping.

How to use this Daraz scraper

1. Go to the Input tab.
2. Leave Countries as "All countries" and Search queries as the default (laptop) for a fast, cheap first run across every market.
3. Choose which Data types you want - Products, Reviews, Sellers, or any combination. All three by default.
4. Click Start, then open the Storage tab for your results - each run writes to three separate, clearly named datasets: Products, Sellers, and Reviews.

For specific products you already know, set Product URLs instead - it replaces search entirely and each URL's own domain determines its country.

Input

Field	Type	Description
countries	Array	Which Daraz countries to search (default: all 4). Ignored when productUrls is set.
searchQueries	Array	Search terms to look up (default: ["laptop"]). Ignored when productUrls is set.
productUrls	Array	Specific product URLs to scrape directly - replaces search entirely.
dataTypes	Array	Which record types to collect: products, reviews, sellers (default: all three).
maxItemsPerQuery	Integer	Max products per search query per country (default: 2, for a fast preview; 0 = unlimited).
maxReviewsPerProduct	Integer	Max reviews saved per product (default: 2; 0 = unlimited).
enableCache	Boolean	Reuse product/review/seller data fetched in a previous run instead of re-fetching. On by default.
cacheTtlHours	Integer	How long a cached entry stays valid (default: 24).
notificationWebhookUrl	String	Optional Discord or Slack incoming webhook URL. Posts a one-line run summary there when the run finishes.

Example input - quick nationwide preview across all 4 countries:

{}

Example input - full catalog search in one country:

{ "countries": ["PK"], "searchQueries": ["running shoes"], "maxItemsPerQuery": 0, "dataTypes": ["products"] }

Example input - deep-dive on specific products:

{
    "productUrls": ["https://www.daraz.pk/products/example-i123456.html"],
    "dataTypes": ["products", "reviews", "sellers"]
}

Output

This Actor writes to three separate named datasets - Products, Sellers, and Reviews - so each keeps only the fields that belong to it, with no type field needed to tell records apart. itemId links a review back to its product; sellerId links a product to its seller. Open your run's Storage tab in Apify Console to see all three listed side by side, in that order - each with its own Overview tab (a clean, formatted table of its key fields) plus All fields for the raw data.

Every record is also mirrored into the run's default dataset (tagged with type, so it's harder to browse - use the three named datasets above for that) purely so this Actor's pay-per-result pricing bills correctly.

Prefer a plain CSV file? Every run also saves a ready-to-download snapshot of each named dataset straight into its Key-value store - open the run, click the Key-value store tab, and you'll find:

File	Contents
product.csv	Everything from the Products dataset
seller.csv	Everything from the Sellers dataset
review.csv	Everything from the Reviews dataset

No need to open the dataset UI or pick an export format - just click a file and download it.

A product (Products dataset):

{
    "itemId": "837110516",
    "name": "Dell Latitude 7420 Core i7 11th Gen Laptop | 16GB RAM | 512GB SSD",
    "price": 116000,
    "originalPrice": 170000,
    "discountPercent": 32,
    "currency": "PKR",
    "ratingScore": 5,
    "reviewCount": 12,
    "sellerId": "6005033052228",
    "sellerName": "E-Laptech",
    "brandName": "Dell",
    "image": "https://static-01.daraz.pk/p/af720548210edee3ec27aa72bcbe9ab0.jpg",
    "itemUrl": "https://www.daraz.pk/products/dell-latitude-7420-...-i837110516.html",
    "inStock": true,
    "soldCount": 14,
    "location": "Punjab",
    "country": "PK",
    "description": "Brand: Dell Model: Latitude 7420 ...",
    "category": "Computers & Laptops > Laptops",
    "images": ["https://static-01.daraz.pk/p/af720548210edee3ec27aa72bcbe9ab0.jpg"],
    "scrapedAt": "2026-08-15"
}

a seller (Sellers dataset):

{
    "sellerId": "6005033052228",
    "sellerName": "E-Laptech",
    "shopUrl": "https://www.daraz.pk/shop/261zxnow/",
    "positiveRatingPercent": 99,
    "shipOnTimePercent": 66,
    "chatResponseRate": "Not enough data",
    "followersCount": 994,
    "country": "PK",
    "scrapedAt": "2026-08-15"
}

and a review (Reviews dataset):

{
    "reviewId": "74766705810516",
    "itemId": "837110516",
    "rating": 5,
    "content": "Ordered this Laptop for my Family. My kids are loving it. Battery Backup is Awesome.",
    "images": ["https://lzd-u.slatic.net/18e2c656c4474d24919768f708adc170_3_1757616697.483368.jpg"],
    "buyerName": "A***.",
    "boughtDate": "27 Jul 2025",
    "reviewTime": "11 Sep 2025",
    "skuInfo": "Color Family:Red",
    "likeCount": 0,
    "sellerReplies": [{ "author": "Daraz Guest", "content": "Thankyou for the Feedback...", "time": "11 months ago" }],
    "country": "PK",
    "scrapedAt": "2026-08-15"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Pricing / Cost estimation

Daraz's own product-search and review APIs have no bot protection (verified live: plain, unauthenticated requests return full JSON), so those two stages are fast and cheap - cost scales with how many products/reviews you request, not with any browser overhead. The seller stage is the one exception: seller trust stats and follower counts are only ever rendered client-side, so that stage needs one real (proxied) browser page-load per distinct seller. Enable cache to avoid paying that cost again for a seller (or product/review) already scraped in a recent run.

Tips for better runs

• Leave the defaults (maxItemsPerQuery: 2, all countries, all data types) for a cheap first look at what this Actor returns.
• Use productUrls for repeat/scheduled checks on specific listings you already track.
• Turn off the Sellers data type if you only need product/review data - it's the one stage that needs a browser.
• Use the Apify Schedule feature to re-run this Actor periodically and track price, review, or seller-rating changes over time.

FAQ

Is this legal? This Actor only collects publicly visible product, review, and seller data. You are responsible for using the data in accordance with Daraz's Terms of Service and any applicable laws in your jurisdiction.

Why isn't Myanmar included? Daraz Myanmar shut down in April 2026. This Actor covers every market still live: Pakistan, Bangladesh, Sri Lanka, and Nepal.

Why do some sellers have null for followersCount? That field comes from the seller's own shop page, which this Actor visits after finding the seller's shop link on one of their product pages - if that page doesn't render in time, this field is left null rather than guessed at.

Found a bug or have a feature request? Please use the Issues tab on this Actor's page - feedback directly shapes future updates.