There are numerous web scraping tools and libraries available, each suited to different needs and skill levels. Here are some popular options widely used by developers and businesses:
Beautiful Soup (Python): A library for parsing HTML and XML documents. It’s commonly used for web scraping as it provides Pythonic idioms for iterating, searching, and modifying the parse tree.
Scrapy (Python): An open-source and collaborative web crawling framework for Python. It is robust and can handle large projects that require distributed scraping with parallel processing capabilities.
Selenium: Primarily a tool for automated web testing that can also be used for scraping dynamic content. It automates browser actions, making it suitable for websites that heavily rely on JavaScript.
Puppeteer (Node.js): A headless browser tool from the Chrome DevTools team. It provides a high-level API over the Chrome DevTools Protocol, making it ideal for web scraping and automated testing.
Octoparse: A no-code scraping tool with a user-friendly interface that caters to non-programmers. It provides options to extract data from complex websites using a point-and-click interface.
ParseHub: A visual web scraping tool that uses machine learning technology to transform web data into structured data. It’s suitable for users who prefer a visual approach rather than writing code.
WebHarvy: An automatic web scraping tool that allows users to scrape data from web pages with an easy-to-use interface, ideal for those who do not have programming skills.

The choice of a scraping tool often depends on the complexity of the task, the user’s programming skills, and the specific requirements of the scraping project, such as handling dynamic content or scaling the scraping process.