This project automates the process of scraping car listing data from a web page. It is designed to extract key details about cars, such as their names and mileage, and then compile this data into a CSV file. The project demonstrates basic web scraping techniques using Python.
- Fetches webpage content using the
requestslibrary. - Parses HTML content with
BeautifulSoupto extract relevant data. - Organizes scraped data into a structured format using
pandas. - Exports the data to a CSV file for further analysis or usage.
- Python 3.x
- requests
- BeautifulSoup4
- pandas