Daraz.pk Product Scraper

Extract comprehensive product listing data from Daraz.pk at scale. Collect pricing, ratings, stock status, seller details, images, and product links in a structured dataset. Built for market research, catalog monitoring, and e-commerce intelligence workflows.

Features

• Flexible start modes — Scrape with multiple listing URLs or a search query
• Rich product fields — Collect IDs, titles, prices, discounts, reviews, ratings, seller data, and media links
• Pagination controls — Limit pages and result volume for fast QA-safe runs
• Deduplicated output — Prevent duplicate product records across pages and URLs
• Structured exports — Use JSON, CSV, Excel, XML, and API dataset endpoints

Use Cases

Price Monitoring

Track current and historical pricing patterns across Daraz categories. Detect discount opportunities and monitor competitor price movement.

Product Research

Build large product datasets with ratings, reviews, and stock status. Compare brand and seller performance before sourcing decisions.

Seller Intelligence

Analyze seller coverage, product assortment, and listing quality signals. Identify top-performing stores by category and product type.

Trend Tracking

Run scheduled extractions to monitor how catalog availability changes over time. Spot demand shifts by observing stock and review growth.

BI and Reporting

Feed clean product data into dashboards, spreadsheets, and analytics pipelines. Support recurring reporting without manual collection.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrls	String[]	No	["https://www.daraz.pk/womens-fashion/"]	List of listing URLs. If provided, this is used first.
searchQuery	String	No	""	Search keywords. Used when startUrls is empty.
maxProducts	Integer	No	20	Maximum products to save. Use 0 for unlimited.
maxPages	Integer	No	50	Maximum listing pages to process per URL.
includeOutOfStock	Boolean	No	false	Include products that are currently out of stock.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional proxy settings for higher reliability.

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Output Data

Each dataset item contains:

Field	Type	Description
productId	String	Product identifier
skuId	String	SKU identifier
title	String	Product title
brand	String	Brand name
sellerName	String	Seller/store name
location	String	Product location
price	Number	Current numeric price
originalPrice	Number	Original numeric price when available
discountPct	Number	Discount percentage
rating	Number	Product rating
reviewCount	Number	Number of reviews
soldCount	Number	Estimated sold count
imageUrl	String	Primary image URL
productUrl	String	Product page URL
inStock	Boolean	Product stock state
isSponsored	Boolean	Sponsored listing flag
page	Number	Listing page number
sourceUrl	String	Source listing URL
requestId	String	Source request identifier
scrapedAt	String	ISO timestamp of extraction

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Usage Examples

Basic Category Extraction

Collect products from a single listing URL:

{
  "startUrls": ["https://www.daraz.pk/womens-fashion/"],
  "maxProducts": 20,
  "maxPages": 3
}

Search-Based Extraction

Collect products for a keyword query:

{
  "searchQuery": "iphone 15 pro max",
  "maxProducts": 30,
  "maxPages": 4
}

Multiple URL Extraction

Collect products from multiple listing URLs in one run:

{
  "startUrls": [
    "https://www.daraz.pk/mens-fashion/",
    "https://www.daraz.pk/electronic-devices/"
  ],
  "maxProducts": 60,
  "includeOutOfStock": true
}

Proxy Configuration

For more stable collection on larger runs:

{
  "startUrls": ["https://www.daraz.pk/womens-fashion/"],
  "maxProducts": 40,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "productId": "453338509",
  "skuId": "1728453521",
  "title": "Apple iPhone 15 Pro Max",
  "brand": "Apple",
  "sellerName": "Official Store",
  "location": "Lahore",
  "price": 334999,
  "originalPrice": 349999,
  "discountPct": 4,
  "rating": 4.8,
  "reviewCount": 127,
  "soldCount": 300,
  "imageUrl": "https://static-01.daraz.pk/p/example.jpg",
  "productUrl": "https://www.daraz.pk/products/example",
  "inStock": true,
  "isSponsored": false,
  "page": 1,
  "sourceUrl": "https://www.daraz.pk/womens-fashion/",
  "requestId": "abc123",
  "scrapedAt": "2026-03-07T00:00:00.000Z"
}

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Tips for Best Results

Use Stable Listing URLs

• Start with valid category URLs that return visible products
• Use one URL per line for startUrls
• Prefer focused categories for cleaner datasets

Keep QA Runs Fast

• Use maxProducts: 20 for quick verification
• Keep maxPages low during test runs
• Increase limits only after validating output quality

Improve Reliability

• Enable proxy usage for larger or scheduled runs
• Retry with smaller runs when a category is temporarily unstable
• Run multiple targeted jobs instead of one oversized crawl

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Integrations

Connect your data with:

• Google Sheets — Analyze prices and ratings in spreadsheets
• Airtable — Build searchable product tracking bases
• Make — Trigger automated workflows from new dataset items
• Zapier — Send product updates to business apps
• Webhooks — Push records to your own API pipeline

Export Formats

• JSON — For APIs and engineering workflows
• CSV — For spreadsheet analysis
• Excel — For business reporting
• XML — For legacy integrations

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Frequently Asked Questions

Which input is used first?

startUrls is used first. If startUrls is empty, searchQuery is used.

What happens if I run with no input?

The actor uses default values, and local QA runs can fall back to INPUT.json defaults.

Can I collect unlimited products?

Yes. Set maxProducts to 0 to remove the product limit.

Why is my dataset smaller than expected?

Limits from maxProducts, maxPages, duplicate removal, and stock filtering can reduce final count.

Can I include out-of-stock products?

Yes. Set includeOutOfStock to true.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is designed for legitimate data collection purposes. You are responsible for complying with website terms, local regulations, and applicable data usage laws.