---

Daraz.pk Product Scraper 🛒🇵🇰📊

The Daraz.pk Product Scraper is a powerful and scalable Apify Actor designed to extract structured product listings directly from Daraz.pk category and search result pages.

It enables e-commerce intelligence, price monitoring, competitor analysis, seller research, product trend discovery, discount tracking, and structured dataset creation from Pakistan's largest online marketplace.

---

# Daraz.pk پروڈکٹ اسکریپر 🛒🇵🇰📊

Daraz.pk Product Scraper ایک طاقتور اور قابل توسیع Apify Actor ہے جو Daraz.pk کی کیٹیگری اور سرچ رزلٹ صفحات سے منظم پروڈکٹ ڈیٹا حاصل کرنے کے لیے تیار کیا گیا ہے۔

یہ ای کامرس انٹیلیجنس، قیمتوں کی نگرانی، مسابقتی تجزیہ، فروخت کنندگان کی تحقیق، مصنوعات کے رجحانات کی شناخت، ڈسکاؤنٹ ٹریکنگ، اور پاکستان کے سب سے بڑے آن لائن مارکیٹ پلیس سے منظم ڈیٹا سیٹس بنانے میں مدد فراہم کرتا ہے۔

---

🎯 What This Scraper Does

Simply provide one or more Daraz.pk category or search URLs and the scraper handles everything automatically.

✅ Extracts structured product listings

✅ Supports bulk URL scraping

✅ Automatically handles pagination

✅ Collects pricing and discount information

✅ Extracts ratings, reviews and sold counts

✅ Captures seller location data

✅ Collects badges and promotional labels

✅ Retrieves product images and URLs

✅ Generates clean and structured datasets

✅ Ready for e-commerce analytics workflows

---

📊 Data Extracted

🛍️ Product Information

Field	Description
🆔 itemId	Unique Daraz product ID
🏷️ skuSimple	Product SKU
📝 title	Product title
💰 price	Product price
💵 currency	Product currency
🔥 discount	Product discount
⭐ rating	Product rating
💬 reviewCount	Number of reviews
📦 sold	Number of units sold
📍 location	Seller location
🏆 badges	Promotional badges
🖼️ imageUrl	Product image
🔗 itemUrl	Product URL

📈 Product Metadata

Field	Description
🕒 scrapeTimestamp	Extraction timestamp
📊 sourceUrl	Source category/search URL

---

🛠 How to Use

1️⃣ Configure Input

Provide one or multiple Daraz URLs:

{
  "urls": [
    "https://www.daraz.pk/catalog/?q=body"
  ],
  "maxitems_per_url": 100
}

2️⃣ Run the Actor

• Loads Daraz category or search pages

• Processes product listings automatically

• Handles pagination

• Extracts product details and metadata

• Collects pricing, ratings and sales information

• Applies max item limits

• Stops automatically when limits are reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

---

⚙️ Input Configuration

📥 Input Example

{
  "urls": [
    "https://www.daraz.pk/catalog/?q=body"
  ],
  "maxitems_per_url": 100
}

Input Fields

Field	Type	Description
urls	array	List of Daraz category or search URLs
maxitems_per_url	integer	Maximum number of products to extract per URL

---

📤 Output Example

{
  "itemId": "927220660",
  "skuSimple": "927220660_PK-3993892232",
  "title": "PRESTO Original Thigh & Kegel Trainer",
  "priceText": "Rs. 1,899",
  "currency": "PKR",
  "discount": "53% Off",
  "rating": "5",
  "reviewCount": "42",
  "sold": "43 sold",
  "location": "Sindh",
  "badges": "Coins save Rs. 19",
  "imageUrl": "https://img.drz.lazcdn.com/example.jpg",
  "itemUrl": "https://www.daraz.pk/products/example.html"
}

---

📊 Output Explanation

Use Case	Description
🛒 Product Research	Discover products across categories
💰 Price Monitoring	Track pricing and discounts
⭐ Product Analytics	Analyze ratings and reviews
📈 Trend Discovery	Identify best-selling products
🏪 Competitor Analysis	Monitor marketplace competitors
🤖 Automation Pipelines	Feed data into BI and analytics tools

---

🌍 Why Use This Scraper?

🛒 Extract Daraz product listings at scale

📊 Monitor marketplace trends

💰 Track pricing and discount strategies

⭐ Analyze product performance

🏪 Monitor competitors and sellers

⚡ Fast and automated extraction

🤖 Automation-ready datasets

📦 Bulk URL scraping support

🚀 Scalable for both small and large data extraction projects

---

❓ FAQ

How does this scraper work?

The scraper loads Daraz category and search result pages and extracts structured product information including pricing, ratings, reviews, sales data, seller locations, badges, images, and URLs.

Can I scrape multiple URLs in one run?

Yes. You can provide multiple category or search URLs inside the urls array.

Does the scraper handle pagination?

Yes. Pagination is automatically processed until the configured limits are reached.

Can I collect pricing and discount information?

Yes. Pricing and available discount data are extracted whenever available.

Can I monitor products over time?

Yes. You can schedule recurring Apify runs to track pricing changes, discounts, and marketplace trends.

Is the data collected live?

Yes. Data is extracted directly from Daraz during every run.

What export formats are supported?

JSON, CSV, Excel, XML, and HTML.

Can I use the extracted data commercially?

Yes. The data can be used for analytics, monitoring, research, reporting, and commercial applications.

How long does a run take?

Most extractions complete within minutes depending on the number of URLs and requested results.

---

🚀 How to Use

1️⃣ Sign up — Create a free Apify account

2️⃣ Find the tool — Search for "Daraz.pk Product Scraper" in the Apify Store

3️⃣ Configure URLs — Add one or multiple category or search URLs

4️⃣ Run it — Start the Actor and wait for extraction

5️⃣ Export data — Download results in JSON, CSV, Excel, XML, or HTML

---

⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Daraz.pk or any of its affiliates.

---

💸 Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

💳 Price: $0.99 / 1000 results

---

Related Actors

Explore more PrimeScrape Actors for E-commerce, Marketplace Monitoring, Lead Generation, Real Estate, Jobs, Social Media Intelligence, and Business Research.

---

📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

---

🌍 PrimeScrape

Built for scalable web data extraction & automation.

Contact us for custom scraping solutions or enterprise requests via Apify or by email.