Build a Python web scraper with Beautiful Soup

Web scraping is an automated method of extracting data from websites using scripts or programs known as web scrapers, which can access internet resources, organize collected data, and store it for future use. Common applications of web scraping include marketing lead generation, price monitoring, data analysis, machine learning model training, and cybersecurity, but it faces challenges such as varying website structures, frequent design changes, bot prevention measures, rate limiting, and difficulties with dynamic websites. The Beautiful Soup library in Python provides tools for extracting data from HTML and XML documents, allowing users to build web scrapers that can navigate and retrieve specific information from websites. An example of a web scraper is one that extracts cryptocurrency information from CoinGecko by parsing HTML content and using Beautiful Soup methods to locate and display required data, with the option to save results in a JSON file.