Automotive Website Scraping Proxies for Autotrader & Cars.com (2025)

Basic Python setup with Requests:

import requests
from bs4 import BeautifulSoup

# Coronium proxy configuration
proxy_host = "proxy.coronium.io"
proxy_port = "12345"
proxy_user = "username"
proxy_pass = "password"

# Format for requests
proxies = {
    "http": f"http://{proxy_user}:{proxy_pass}@{proxy_host}:{proxy_port}",
    "https": f"http://{proxy_user}:{proxy_pass}@{proxy_host}:{proxy_port}"
}

# Headers to mimic mobile browser
headers = {
    "User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 14_6 like Mac OS X) AppleWebKit/605.1.15",
    "Accept-Language": "en-US,en;q=0.9",
    "Accept": "text/html,application/xhtml+xml,application/xml",
    "Connection": "keep-alive"
}

# Example: fetch car listings from Autotrader
def fetch_car_listings(make, model, zip_code):
    url = f"https://www.autotrader.com/cars-for-sale/{make}/{model}/{zip_code}"
    
    # Use the proxy for the request
    response = requests.get(url, headers=headers, proxies=proxies)
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        # Parse vehicle listings...
        listings = soup.select('.vehicle-card')
        
        for listing in listings:
            # Extract vehicle data
            price = listing.select_one('.price').text.strip()
            title = listing.select_one('.listing-title').text.strip()
            # ...more extraction logic
            
        return listings
    else:
        print(f"Failed to fetch: {response.status_code}")
        return None

# Example usage
cars = fetch_car_listings("Toyota", "Camry", "90210")