Building a Price Tracker with Python and BeautifulSoup

1. 1Install the required libraries by running 'pip install beautifulsoup4 requests' in your terminal
2. 2Inspect the HTML structure of the webpage containing the product price using the developer tools
3. 3Use BeautifulSoup to parse the HTML and extract the product price
4. 4Store the extracted price data in a CSV file using the 'csv' library
5. 5Schedule the script to run periodically using a scheduler like 'schedule' or 'apscheduler'

This project is ideal for a solo developer or a small team of developers interested in web scraping and data analysis. The skills learned can be applied to various industries, such as e-commerce or finance, where price tracking is crucial.

💡 Web scraping with BeautifulSoup can be used to extract product prices from websites and track changes over time

📊 Build a price tracker with Python and BeautifulSoup to stay on top of product prices! 💸