This repository contains a Python script that uses Selenium and the Chrome webdriver to scrape Steam sales data and automate the process of adding items to a cart.

• Selenium
• Chrome webdriver
• undetected_chromedriver
• Chrome browser

1. Clone the repository
2. Install the necessary packages by running pip install -r requirements.txt
3. Update the user-data-dir argument in the opts variable to match the location of your Chrome user data.
4. Run the script with python main_optimized.py

• The script navigates to a specific Steam sales page and filters the results to show 2-year lows
• It then sorts the sales by price
• The script then adds the first 50 items to the cart

Note: The script uses a sleep time of 1 second between adding items to the cart to reduce the chance of being blocked by Steam. As well as a sleep time of 999 second at the end of the script to keep the browser open and check the results.