Turo Car Scraper

A Python web scraper for collecting car listings from Turo, extracting detailed information, and exporting data to CSV files. This project uses selenium with undetected-chromedriver to scrape the data and BeautifulSoup to parse the HTML.

Features

• Scrapes car listings: Collects car details such as name, rating, number of trips, location, prices, and discount.
• Visits individual car pages: Extracts additional details such as options, description, and characteristics.
• Handles dynamic content: Uses selenium to manage JavaScript-rendered content.
• Saves data to CSV: Exports the collected data to a CSV file for further analysis.

Requirements

• Python 3.7+
• Install the required packages:

  beautifulsoup4
  undetected-chromedriver
  selenium
  argparse
  

Usage

1. Clone the repository:

   git clone https://github.com/MahdiKheireddine/turo_car_scraper.git
   cd turo_car_scraper
   pip install -r requirements.txt
   

2. Run the scraper:

   python main.py "location" "start_date" "end_date"
   

3. Replace "location", "start_date", and "end_date" with your desired values. For example:

     python main.py "paris" "07/27/2024" "07/30/2024"