Web Scraping with Python and BeautifulSoup

Web scraping is the process of extracting data from websites. Python makes this easy with libraries like BeautifulSoup and requests. The requests library lets you download web pages, and BeautifulSoup helps you parse the HTML to find the data you need. First, you send a GET request to a URL: response = requests.get(url). Then you create a BeautifulSoup object: soup = BeautifulSoup(response.text, 'html.parser'). From there, you can search for HTML elements using methods like find() and find_all(). For example, soup.find_all('h2') would give you all the heading level 2 tags. You can also search by class or id. When scraping, always check the website's robots.txt file to see if scraping is allowed. Also, be respectful by adding delays between requests so you don't overwhelm the server. Scraping is useful for gathering data that isn't available through an API. A good first project is to scrape a news site for headlines or a weather site for forecasts. This teaches you about HTML structure and how to navigate it programmatically. Remember that websites change their layout, so your scraper might need updates over time.