Daraz Advanced Scraper

An Apify actor that scrapes product data from Daraz, the leading e-commerce platform across South Asia (owned by Alibaba Group). Supports 5 countries with automatic currency conversion to USD.

Supported Countries

Country	Domain	Currency
Pakistan	daraz.pk	PKR (Rs.)
Bangladesh	daraz.com.bd	BDT (৳)
Nepal	daraz.com.np	NPR (रू)
Sri Lanka	daraz.lk	LKR (Rs.)
Myanmar	daraz.com.mm	MMK (K)

Features

• Multi-country support — Scrape from Pakistan, Bangladesh, Nepal, Sri Lanka, or Myanmar
• 3 scraping modes — Search by keyword, browse categories, or scrape specific product URLs
• Currency conversion — Prices in local currency and automatically converted to USD
• Product details — Name, brand, SKU, category, description, images
• Price tracking — Current price, original price, and discount percentage
• Ratings & reviews — Aggregate ratings and individual customer reviews
• Sort options — Best match, price low-to-high, price high-to-low, rating
• Auto country detection — Automatically detects country from provided URLs
• Anti-detection — Randomized user agents, disabled automation flags, random delays
• Proxy support — Configurable proxy via Apify proxy system

Input Parameters

Parameter	Type	Description	Default
scrape_type	string	Scraping mode: search, category, or product	required
product_urls	array	List of Daraz product URLs (for product mode)	—
category_url	string	Daraz category URL (for category mode)	—
search	string	Search keyword (for search mode)	—
country	string	Country code: pk, bd, np, lk, mm	pk
sort_by	string	Sort: relevance, priceasc, pricedesc, rating	relevance
get_reviews	boolean	Scrape customer reviews	true
max_reviews_per_product	integer	Max reviews per product	10
proxy_config	object	Proxy configuration	No proxy

Output Data

Each product in the dataset contains:

Product Information

Field	Type	Description
name	string	Product name
brand	string	Brand name
sku	string	Product SKU
category	string	Product category
description	string	Product description
product_link	string	Product URL
images	array	List of product image URLs

Price Data

Field	Type	Description
price.local_currency	string	Currency code (PKR, BDT, NPR, LKR, MMK)
price.price_local	number	Current price in local currency
price.price_usd	number	Current price in USD
price.old_price_local	number	Original price in local currency (if discounted)
price.old_price_usd	number	Original price in USD (if discounted)
price.discount	string	Discount percentage (e.g., "25%")

Ratings

Field	Type	Description
rating_info.rating	number	Average rating (out of 5)
rating_info.rating_count	number	Total number of ratings
rating_info.review_count	number	Total number of reviews

Reviews

Field	Type	Description
reviews[].review	string	Review text
reviews[].reviewed_by	string	Reviewer name
reviews[].review_date	string	Relative review date
reviews[].verified_purchase	boolean	Whether the reviewer made a verified purchase
number_of_reviews	number	Number of reviews scraped

Example Inputs

Scrape specific products

{
    "scrape_type": "product",
    "product_urls": [
        "https://www.daraz.pk/products/p9-i683608788.html"
    ],
    "get_reviews": true,
    "max_reviews_per_product": 5
}

Search for products

{
    "scrape_type": "search",
    "search": "headphones",
    "country": "pk",
    "sort_by": "rating",
    "get_reviews": true
}

Scrape a category (Bangladesh)

{
    "scrape_type": "category",
    "category_url": "https://www.daraz.com.bd/mens-watches/",
    "country": "bd",
    "sort_by": "priceasc"
}

Running Locally

1. Install dependencies:

   $pip install -r requirements.txt
   

2. Edit storage/key_value_stores/default/INPUT.json with your desired input.

3. Run the actor:

   $python -m src
   

   Or using the Apify CLI:

   $apify run
   

Output Format

Results are stored in the Apify dataset and can be exported as JSON, CSV, Excel, or HTML.

Pay Per Event Pricing

Event	Price (USD)
Product scraped (1-25)	$0.005
Product scraped (26-100)	$0.002
Product scraped (101+)	$0.001
Review scraped	$0.0005