Web scraping in Python
Here are some popular options and examples to get you started: 1. Beautiful Soup: Description: Powerful library for parsing HTML and XML documents. It helps extract specific data and organize it into a structured format. Example: Scraping product names and prices from an online store website. Python import requests from bs4 import BeautifulSoup url = "https://www.example.com/products" response = requests.get(url) soup = BeautifulSoup(response.content, "html.parser" ) # Extract product names and prices products = [] for product in soup.find_all( "div" , class_= "product-item" ): name = product.find( "h3" , class_= "product-name" ).text price = product.find( "span" , class_= "product-price" ).text products.append({ "name" : name, "price" : price}) print(products) 2. Requests: Description: Makes HTTP r...