ArabamScraper

ArabamScraper is a web scraping tool designed to collect second-hand vehicle listings from Arabam.com. The script extracts essential vehicle details such as brand, model, year, price, mileage, listing date, and location, saving the data into a structured CSV file. This project is currently intended for generating a small dataset, with future updates planned for improvements and expanded functionality.

Features

• Uses Selenium and BeautifulSoup for efficient web scraping.
• Implements human-like browsing behavior to avoid detection.
• Saves extracted data into a CSV file for easy analysis.
• Configurable maximum page limit to control the scraping process.

Requirements

• Python 3.x
• Google Chrome & ChromeDriver
• Required Python libraries: beautifulsoup4, selenium, csv

Installation

1. Clone the repository:

   git clone https://github.com/your-repo/ArabamScraper.git
   cd ArabamScraper

2. Install dependencies:

   pip install -r requirements.txt

3. Ensure ChromeDriver is installed and matches your Chrome version.

Usage

Run the script with:

python arabam_scraper.py --category otomobil --min_price 50000 --max_price 200000 --max-pages 5 --output car_listings.csv

The scraped data will be saved as a CSV file in the project directory.

Future Updates

• Enhancements for larger dataset collection.
• Improved error handling and performance optimizations.
• Additional filtering and data extraction features.

License

This project is licensed under the MIT License.