Cashify Price Tracker

A Python application that tracks prices from Cashify's refurbished mobile phone listings and logs them to a Google Sheet for price monitoring and analysis.

Features

• Scrapes prices from Cashify's refurbished mobile phone pages
• Automatically logs price data with timestamps to Google Sheets
• Configurable for different device models
• Uses Google Sheets API for data storage

Requirements

• Python 3.x
• Required packages: requests, beautifulsoup4, pandas, gspread, google-auth
• Google Service Account credentials (credentials.json)

Setup

1. Install required packages:

pip install requests beautifulsoup4 pandas gspread google-auth

2. Set up Google Sheets API:

   • Create a Google Cloud Project
   • Enable Google Sheets API
   • Create a Service Account and download credentials.json
   • Share your Google Sheet with the service account email

3. Update the script with your Google Sheet ID and device details

Usage

Run the script:

python main.py

The script will scrape the current price and append it to your Google Sheet with a timestamp.

Configuration

• Modify device_name in the main function for different devices
• Update the sheet_id with your Google Sheet ID
• Adjust CSS selectors in scrape_cashify_price() as needed

Note

Make sure to keep your credentials.json file secure and never commit it to version control.