"""
Extraction for Web Development
Q=9/10
"""

class ExtractionWebDevelopment:
    def __init__(self):
        self.base_url = "https://example.com"
        self.headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.0.0 Safari/537.36',
        }
        self.html_cache = {}

    def fetch_html(self, url):
        if url in self.html_cache:
            return self.html_cache[url]
        
        import requests
        try:
            response = requests.get(url, headers=self.headers)
            response.raise_for_status()
            html_content = response.text
            self.html_cache[url] = html_content
            return html_content
        except requests.RequestException as e:
            print(f"Failed to fetch {url}: {e}")
            return None

    def extract_data(self, url):
        from bs4 import BeautifulSoup
        
        html_content = self.fetch_html(url)
        if not html_content:
            return []
        
        soup = BeautifulSoup(html_content, 'html.parser')
        items = []

        # Example: Extracting data based on class name
        for item in soup.find_all('div', class_='example-item'):
            title = item.find('h2').text.strip()
            description = item.find('p').text.strip()
            link = item.find('