Web Scraping Daraz Products

Welcome to the Web Scraping Daraz Products project! This Python script scrapes product information from Daraz using Selenium and BeautifulSoup.

Description

The script navigates to the Daraz website, searches for watches, scrapes product details such as title, price, ratings, delivery information, and more, and writes the data to a CSV file.

Requirements

• Python 3.x
• Chrome browser
• Selenium
• BeautifulSoup
• ChromeDriver

Installation

Install Dependencies

pip install selenium webdriver-manager beautifulsoup4

Download ChromeDriver

Ensure you have ChromeDriver installed.

Usage

Run the Daraz's_dynamic_webscrapping.ipynb notebook. Wait for the script to scrape the data. Check the generated products.csv file for the scraped information.

Data Scraped

• Title: Name of the product.
• Current Price: The current selling price of the product.
• Original Price: The original price of the product before any discounts.
• Sold: Number of units sold.
• Review Amount: Number of reviews for the product.
• Ratings: Average ratings of the product.
• Delivery: Delivery information.
• Vouchers: Available vouchers for the product.
• Web Link: Direct link to the product page.

Acknowledgments Special thanks to Daraz for providing the platform and to the developers of Selenium and BeautifulSoup for their invaluable tools.