Web scraping is the practise of extracting content and data from a website using bots. Web scraping, unlike screen scraping, which replicates only the pixels seen onscreen, retrieves the underlying HTML code and, with it, the data contained in a database. The scraper can then copy the full website's content to another location.
BeautifulSoup is probably the most popular Python web scraping library. It generates a parse tree that may be used to parse HTML and XML texts.
Web scrapers are divided into two categories: browser extensions and computer applications. Browser extensions are app-like apps that you may install on your browsers like Google Chrome or Firefox. Themes, ad blockers, messaging extensions, and other browser extensions are all popular.
Scraping and crawling the web aren't unlawful in and of themselves. After all, you could easily scrape or crawl your own website. It's popular among startups because it's a low-cost and effective approach to collect data without the requirement for collaborations.
Web scraping is frequently used by sales agents to generate leads and uncover marketing and sales solutions. It can scrape data from all sources and hotspots where there is a lot of lead activity. Web scraping speeds up the entire process. Not only that, but it also has a high level of sales data accuracy.
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