# Daraz Scraper - کم قیمت Low-cost💲🔥🛒🇵🇰 (`delectable_incubator/daraz-scraper-khm-qymt-low-cost`) Actor
Scrape Daraz.pk product listings 🇵🇰🛒 with a powerful e-commerce scraper. Extract product titles, prices, discounts, ratings, review counts, locations, images, and URLs. Ideal for price monitoring, competitor analysis, dropshipping research, winning product discovery, and market intelligence 📊🚀
- **URL**: https://apify.com/delectable\_incubator/daraz-scraper-khm-qymt-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
---
## 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:** $0.99 / 1000 results
---
### Related Actors
Explore more PrimeScrape Actors for E-commerce, Marketplace Monitoring, Lead Generation, Real Estate, Jobs, Social Media Intelligence, and Business Research.
---
### 📬 Support
⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool
---
### 🌍 PrimeScrape
Built for scalable web data extraction & automation.
Contact us for custom scraping solutions or enterprise requests via Apify or by email.
# Actor input Schema
## `urls` (type: `array`):
List of Daraz.pk category or search URLs to scrape. Supports category pages (e.g. /womens-fashion/) and search pages (e.g. /catalog/?q=body).
## `maxitems_per_url` (type: `integer`):
Maximum number of products to scrape per URL. Pagination is handled automatically.
## Actor input object example
```json
{
"urls": [
"https://www.daraz.pk/hair-removal-tools/?q=hair"
],
"maxitems_per_url": 70
}
````
# Actor output Schema
## `overview` (type: `string`):
No description
## `by_location` (type: `string`):
No description
## `top_rated` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"urls": [
"https://www.daraz.pk/hair-removal-tools/?q=hair"
],
"maxitems_per_url": 70
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/daraz-scraper-khm-qymt-low-cost").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"urls": ["https://www.daraz.pk/hair-removal-tools/?q=hair"],
"maxitems_per_url": 70,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/daraz-scraper-khm-qymt-low-cost").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"urls": [
"https://www.daraz.pk/hair-removal-tools/?q=hair"
],
"maxitems_per_url": 70
}' |
apify call delectable_incubator/daraz-scraper-khm-qymt-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/daraz-scraper-khm-qymt-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Daraz Scraper - کم قیمت Low-cost💲🔥🛒🇵🇰",
"description": "Scrape Daraz.pk product listings 🇵🇰🛒 with a powerful e-commerce scraper. Extract product titles, prices, discounts, ratings, review counts, locations, images, and URLs. Ideal for price monitoring, competitor analysis, dropshipping research, winning product discovery, and market intelligence 📊🚀",
"version": "0.0",
"x-build-id": "3uOJTkZYrQFh9nLAg"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~daraz-scraper-khm-qymt-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-daraz-scraper-khm-qymt-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~daraz-scraper-khm-qymt-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-daraz-scraper-khm-qymt-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~daraz-scraper-khm-qymt-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-daraz-scraper-khm-qymt-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"urls",
"maxitems_per_url"
],
"properties": {
"urls": {
"title": "List of Daraz.pk URLs to scrape 🔗",
"type": "array",
"description": "List of Daraz.pk category or search URLs to scrape. Supports category pages (e.g. /womens-fashion/) and search pages (e.g. /catalog/?q=body).",
"items": {
"type": "string"
}
},
"maxitems_per_url": {
"title": "Maximum items per URL 🔢",
"type": "integer",
"description": "Maximum number of products to scrape per URL. Pagination is handled automatically.",
"default": 70
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```