Daraz Product Scraper

Turn Daraz search and category pages into clean, structured JSON product data.
🇵🇰 Pakistan · 🇧🇩 Bangladesh · 🇳🇵 Nepal · 🇱🇰 Sri Lanka · 🇲🇲 Myanmar

Prices · Discounts · Sellers · Ratings · Stock · Badges · Images · URLs

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What this Actor does

Daraz Product Scraper extracts structured product data from Daraz, one of South Asia's largest e-commerce platforms. It supports Pakistan, Bangladesh, Nepal, Sri Lanka, and Myanmar. Search by keyword or provide a category, catalog, or search URL to receive 25+ clean, normalized fields per product, including prices, discounts, sellers, ratings, stock status, badges, images, and links.

There are no selectors to maintain, proxies to configure, or blocked IPs to manage. The Actor is ideal for price monitoring, competitor analysis, market research, and building product datasets at scale. It collects search and listing data only—it does not scrape individual product-detail pages or customer-review text.

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Supported Daraz marketplaces

Code	Country	Domain	Currency
pk	🇵🇰 Pakistan	daraz.pk	PKR
bd	🇧🇩 Bangladesh	daraz.com.bd	BDT
np	🇳🇵 Nepal	daraz.com.np	NPR
lk	🇱🇰 Sri Lanka	daraz.lk	LKR
mm	🇲🇲 Myanmar	shop.com.mm	MMK

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Key features

Collect

• Multi-keyword search — pass an array, each term runs as its own search, results merge into one dataset
• Up to 100 category URLs — category, catalog, and search URLs, each crawled independently
• Automatic pagination — capped by maxProducts or maxPages, applied per keyword and per URL
• Built-in deduplication — the same product across pages, keywords, and categories is stored once

Filter at the source (applied by Daraz, so you only pay for results you want)

• Best Match sorting — the buyer's-eye view of what actually ranks
• Price sorting — surface the budget floor or the premium ceiling
• Rating filter (1–5) — skip untested, low-quality listings
• Price range — target a specific band in local currency
• In-stock only — keep pricing averages accurate

Ship to production

• 25+ normalized fields — prices arrive as numbers, not "Rs. 119,999" strings
• Fast & resilient — concurrent requests, automatic retries, managed proxy rotation
• Any format — JSON, CSV, Excel, XML, HTML, or direct API access

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How to scrape Daraz product data

Open the Daraz Product Scraper in Apify Console, enter an input below, and start the Actor. The resulting product records are available in the run's default dataset.

Quick start

1. Search by keyword…

{
  "country_domain": "pk",
  "search_keywords": ["wireless headphones"]
}

…or point it at a category URL

{
  "country_domain": "pk",
  "startUrls": [{ "url": "https://www.daraz.pk/smartphones/" }]
}

2. Get products back

{
  "title": "Airpods Pro 3",
  "price": 119999,
  "priceFormatted": "Rs. 119,999",
  "originalPrice": 125000,
  "discountPct": 4,
  "currency": "PKR",
  "brand": "Apple",
  "sellerName": "Retail - Apple Flagship Store",
  "rating": null,
  "inStock": true,
  "isSponsored": false,
  "badges": ["campaign", "freeShipping", "mall", "voucher"],
  "location": "Sindh",
  "productUrl": "https://www.daraz.pk/products/airpods-pro-3-i1960043391.html",
  "country": "Pakistan",
  "scrapedAt": "2026-07-29T11:16:26Z"
}

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Why use Daraz product data?

Use the normalized output to track listings, compare sellers, understand demand, and build reliable product datasets across Daraz marketplaces.

Use case	Setup
Price monitoring	Daily scheduled runs on competitor categories → detect cuts within hours
Market research	Scrape a full category → analyze price distribution and gaps
Product intelligence	Track rating, reviewCount, soldCount over time → spot winners early
Inventory analysis	includeOutOfStock: false → find stockouts you can capture
AI training data	Titles, images, and prices at scale → real listings, not synthetic
Trend analysis	Re-run identical keywords weekly → seasonal pricing shifts
Lead generation	Aggregate sellerName + location → targeted B2B seller list

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Configure Actor input

Source selection

Parameter	Type	Description
country_domain	string	Marketplace: pk · bd · np · lk · mm
search_keywords	array<string>	Search terms — e.g. ["airpods", "iphone charger"]
startUrls	array<object>	Up to 100 Daraz URLs — e.g. [{ "url": "https://www.daraz.pk/smartphones/" }]

country_domain is required. Provide at least one of search_keywords or startUrls; both are supported and run in the same job.

Filters & sorting

Parameter	Type	Default	Description
sortBy	string	Daraz default	popularity (Best Match) · priceasc · pricedesc
minRating	integer	—	Minimum average stars, 1–5
minPrice	integer	—	Minimum price, local currency
maxPrice	integer	—	Maximum price, local currency
includeOutOfStock	boolean	true	Set false to drop unavailable listings

Limits

Parameter	Type	Default	Description
limitType	string	maxProducts	Which cap applies: maxProducts or maxPages
maxProducts	integer	100	Products per keyword / per URL. 0 = unlimited
maxPages	integer	3	Result pages per keyword / per URL, 1–100

Limits are per input, not per run. 3 keywords × maxProducts: 100 = up to 300 products.

Full example

{
  "country_domain": "pk",
  "search_keywords": ["airpods", "wireless earbuds"],
  "startUrls": [{ "url": "https://www.daraz.pk/audio-headphones/" }],
  "sortBy": "priceasc",
  "minRating": 4,
  "maxPrice": 60000,
  "includeOutOfStock": false,
  "limitType": "maxProducts",
  "maxProducts": 100
}

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Sorting and filtering cheat sheet

Goal	Setting
See what shoppers see first	"sortBy": "popularity"
Find a category's price floor	"sortBy": "priceasc"
Isolate the premium tier	"sortBy": "pricedesc"
Credible products only	"minRating": 4 ← recommended
Target a price band	"minPrice": 5000, "maxPrice": 50000
Accurate pricing averages	"includeOutOfStock": false

Two things to know:

• Prices use local currency. minPrice: 40000 on pk means 40,000 PKR — don't convert to USD.
• The minRating filter runs server-side, so unrated new listings are excluded when it's active. Omit minRating for complete category coverage.

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Output: structured Daraz product dataset

Each product is stored as one item in the run's default dataset, with an identical schema across all five marketplaces. You can export the dataset as JSON, CSV, Excel, XML, or HTML, or access it through the Apify API.

Group	Fields
Identity	title · description · productId · skuId / sku · brand · brandId · categoryIds
Pricing	price · priceFormatted · originalPrice · discountPct · currency
Seller	sellerName · sellerId · location
Social proof	rating · reviewCount · soldCount
Status	inStock · isSponsored · badges · badgeText
Links & meta	imageUrl · productUrl · country · scrapedAt

Full field reference

Field	Type	Description
title	string	Product name as listed on Daraz
description	array<string>	Listing description / spec lines, when provided
productId	string	Unique Daraz product identifier
skuId / sku	string	SKU identifiers for the specific variant
brand	string | null	Brand name; null when unbranded
brandId	string | null	Daraz brand identifier
categoryIds	array<string>	Daraz category IDs the product belongs to
price	number	Current selling price, unformatted
priceFormatted	string	Current price with currency symbol and separators
originalPrice	number | null	Pre-discount price, when a discount is active
discountPct	number | null	Discount percentage off the original price
currency	string	ISO code — PKR, BDT, NPR, LKR, MMK
sellerName	string	Store or seller display name
sellerId	string	Seller identifier
rating	number | null	Average customer rating, 1–5; null when unrated
reviewCount	integer | null	Number of customer reviews
soldCount	integer | null	Units sold, when Daraz publishes it
inStock	boolean | null	Availability; null when Daraz doesn't report it
isSponsored	boolean	Whether the listing is a paid placement
badges	array<string>	Promo labels — mall, freeShipping, voucher, campaign, coins, choice, flashSale
badgeText	string | null	Human-readable badge text, e.g. "Coins save ৳ 155"
location	string	Seller's shipping location or region
imageUrl	string	Direct URL to the primary product image
productUrl	string	Canonical product page URL
country	string	Full marketplace country name, e.g. Pakistan
scrapedAt	string	UTC collection timestamp (ISO 8601)

brand, rating, reviewCount, soldCount, and inStock can be null when Daraz doesn't publish them — common for new listings. Null-check before aggregating.

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Run the Actor via API

curl -H "Content-Type: application/json" \
  --data '{
    "country_domain": "pk",
    "search_keywords": ["laptop"],
    "sortBy": "pricedesc",
    "maxProducts": 100
  }' \
  "https://api.apify.com/v2/acts/itclan-bd~daraz-product-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN"

Find your token under Settings → Integrations in the Apify Console. Never commit it.

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Best practices

• Start small — test with maxProducts: 20 before a large run
• Categories for coverage, keywords for discovery — categories give a stable slice; keywords show what buyers find
• Filter at the source — minRating, minPrice, maxPrice cost nothing extra and shrink the dataset before download
• Pick the right limit — maxProducts for a fixed sample size, maxPages for consistent depth across categories
• Schedule at the same hour — clean day-over-day comparisons
• Key on productId + scrapedAt — makes price time-series trivial
• Use maxProducts: 0 carefully — unlimited runs on broad keywords return tens of thousands of listings

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FAQ

Do I need a Daraz account, API key, or proxies?

No to all three. You only need an Apify account — proxy rotation is handled automatically.

Can I scrape multiple countries in one run?

No. Each run targets one country_domain. Run the Actor once per country and merge the datasets.

Can I use keywords and category URLs together?

Yes. Provide both search_keywords and startUrls — they're processed in the same run and merged into one dataset.

Why did I get fewer products than my limit?

Three common reasons: duplicates were removed, your filters were narrow, or Daraz doesn't have that many matching listings.

Why is rating null on so many products?

Daraz only publishes ratings once a product has reviews. New listings have null for rating, reviewCount, and soldCount.

What's the difference between maxProducts and maxPages?

maxProducts caps products; maxPages caps result pages crawled. limitType decides which one applies. Both are per keyword and per start URL, not per run.

Which currency do minPrice and maxPrice use?

The marketplace's local currency — PKR, BDT, NPR, LKR, or MMK. Don't convert to USD.

Can I scrape a single product page?

No. startUrls accepts category, catalog, and search URLs — not individual product-detail pages.

How do I exclude sponsored listings?

They're returned with isSponsored: true. Filter them out in your export or downstream processing.

Can I schedule automatic runs?

Yes. Use Apify Schedules for daily, hourly, or any cron expression — ideal for price tracking.

What happens if some pages fail or get blocked?

Individual page failures never stop the run. Blocked or failed pages are automatically retried, then skipped if they still fail — the run completes successfully and returns everything collected from the pages that succeeded (partial results). Skipped pages are reported in the run log and the RUN_SUMMARY record in the key-value store.

How do I track price changes over time?

Schedule recurring runs and store each dataset. Key on productId and use scrapedAt as your time dimension.

Can I also scrape the customer reviews of a product?

This Actor returns each product's reviewCount and average rating, but not the individual review texts. To collect full customer reviews (review text, star rating, reviewer, and date), use our companion Daraz Product Reviews Scraper.

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Related Actors

• Daraz Product Reviews Scraper — already have the products from this Actor? Feed their productUrls into the Reviews Scraper to extract full customer reviews (review text, star rating, reviewer name, and date) across all five Daraz marketplaces. A natural next step for sentiment analysis, quality monitoring, and deeper product research.