Cashify Web Scraper

This project contains two web scrapers for extracting product data from Cashify Top Offers:

• Node.js & Puppeteer (in web-scraper-node/)
• Python & BeautifulSoup (in web-scraper-python/)

The scrapers collect product information such as title, price, MRP, discount, product link, and image link.

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Example Output

Here is a sample of the extracted data:

[
  {
    "title": "Samsung Galaxy A34 5G - Refurbished",
    "price": "₹15,699",
    "mrp": "₹30,999",
    "discount": "49% OFF",
    "link": "https://www.cashify.in/buy-refurbished-mobile-phones/renewed-samsung-galaxy-a34/sale"
  },
  {
    "title": "Dell Latitude 5000 Series 5411 (Intel Core i5 10th Gen 14 Inch)- Refurbished",
    "price": "₹23,999",
    "mrp": "₹40,999",
    "discount": "41% OFF",
    "link": "https://www.cashify.in/buy-refurbished-laptops/renewed-latitude-5000-series-5411-intel-core-i5-10th-gen-14-inch/sale"
  },
  {
    "title": "Apple MacBook Pro 2019 (Touch Bar, Four Thunderbolt 3 ports) A2141 (Intel Core i7 16 Inch)- Refurbished",
    "price": "₹38,999",
    "mrp": "₹73,999",
    "discount": "47% OFF",
    "link": "https://www.cashify.in/buy-refurbished-laptops/renewed-macbook-pro-2019-touch-bar-four-thunderbolt-3-ports-a2141-intel-core-i7-16-inch/sale"
  }
]

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Node.js & Puppeteer Usage

1. Install dependencies:

   cd web-scraper-node
   npm install

2. Run the scraper:

   node scrape

3. Output will be saved to web-scraper-node/products.json.

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Python & BeautifulSoup Usage

1. Install dependencies:

   cd web-scraper-python
   pip install -r requirements.txt

2. Run the scraper:

   python scraper.py

3. Output will be saved to web-scraper-python/products.json.

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Screenshots

Cashify Top Offers Page

HTML Structure Example