Python Web Scraper: Extract Data from Any Website in 50 Lines Web scraping is one of the most practical Python skills. Here's a production-ready scraper that handles most websites. Setup pip install requests beautifulsoup4 lxml Enter fullscreen mode Exit fullscreen mode Core Scraper import requests from bs4 import BeautifulSoup import json import time def scrape_page ( url : str ) -> BeautifulSoup : headers = { ' User-Agent ' : ' Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 ' } response = requests . get ( url , headers = headers , timeout = 15 ) response . raise_for_status () return BeautifulSoup ( response . text , ' lxml ' ) # Example: Scrape Hacker News front page def scrape_hackernews (): soup = scrape_page ( ' https://news.ycombinator.com ' ) stories = [] for item in soup . select ( ' .athing ' ): title_el = item . select_one ( ' .titleline > a ' ) if title_el : stories . append ({ ' title ' : title_el . text , ' url ' : title_el .…