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В кластер входят документы, посвященные техническим, правовым или этическим сторонам автоматизированного сбора данных с веб-сайтов.
Общие признаки: сбор данных из интернета, технические ограничения доступа, юридические и этические аспекты скрепинга
Группа выше: Парсинг и веб-скрапинг
Смысл: The main idea is that because bots and humans access web data using the same underlying protocols, any technical barrier strong enough to stop a sophisticated bot will inevitably degrade the experience for human users, making total prevention of scraping impossible and economically illogical.
Web scraping cannot be fully blocked because any technical measure effective against bots will also obstruct legitimate human users.
Смысл: The main idea is to teach developers how to build a robust web scraper in Python that can bypass server-side restrictions and IP bans using Tor, while emphasizing the importance of ethical data collection.
A technical tutorial on scraping meme data using Python, BeautifulSoup, and the Tor network to circumvent server blocks and IP bans.
Смысл: The main idea is that US law now explicitly distinguishes between hacking private systems and scraping public websites, ruling that the latter is legal and cannot be technically blocked if it interferes with business contracts.
A US court ruled that scraping public website data does not violate the Computer Fraud and Abuse Act and prohibited LinkedIn from technically blocking hiQ Labs from accessing public profiles.