High-quality, diverse, and extensive datasets are fundamental for improving machine learning model performance, and web scraping helps gather the necessary data to develop more robust and generalizable models. Web scraping pose different legal challenges, such as data protection, copyright and contractual law related issues. Intellectual property concerns arise as website content, like text, images, and data, is often copyrighted, and scraping without the copyright owner’s permission may lead to infringement claims. Further to this, many websites prohibit scraping in their terms of service, and violating these terms can also result in legal action against the operators of web scrapers.
