Car Web Scraper

Automated car data collection and processing system using Python web scraping

Technology Stack

Python

Requests

BeautifulSoup

CSV

Project Overview

This project is a car data scraper that automates the process of collecting car listings from online sources. It uses Python scripts to fetch, filter, and process car data, storing the results in a structured CSV format for further analysis or use.

Key Features

• Automated scraping of car listings from online sources
• Filtering of car data based on user-defined criteria
• Export of processed car data to CSV for easy analysis
• Modular Python scripts for scraping, filtering, and data conversion
• Simple command-line interface for running different tasks
• Easily customizable for different car sources or filtering needs

Technical Approach

• Uses the requests library for HTTP requests to fetch web pages
• Parses HTML content using BeautifulSoup for data extraction
• Processes and filters car data using custom Python logic
• Converts car data dictionaries to CSV using the built-in csv module
• Modular script design: separate scripts for scraping, filtering, and exporting
• Designed for extensibility to support additional data sources or output formats

Results & Insights

Project Performance

Successfully automated the collection and processing of car listings, significantly reducing manual effort and time required for data gathering. The modular design allows for easy updates and customization.

Development Insights

There was a chance I was going to need to buy a new car so I made this to help me find the best deals with the least amount of effort. This project could easily be improved upon by using a database to store the data, making it able to search multiple sources at once, ect.

100%

Automation

CSV

Export

Modular

Scripts

Custom

Filtering