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Newer forms of web scraping involve listening to data feeds from web servers. For example, [[JSON]] is commonly used as a transport storage mechanism between the client and the webserver.
Recently, companies have developed web scraping systems that rely on using techniques in [[DOM parsing]], [[computer vision]] and [[natural language processing]] to simulate the human processing that occurs when viewing a webpage to automatically extract useful information.<ref>{{cite web|title=Diffbot aims to make it easier for apps to read Web pages the way humans do|url=http://www.technologyreview.com/news/428056/a-startup-hopes-to-help-computers-understand-web-pages/|website=MIT Technology Review|access-date=1 December 2014}}</ref><ref>{{cite
Large websites usually use defensive algorithms to protect their data from web scrapers and to limit the number of requests an IP or IP network may send. This has caused an ongoing battle between website developers and scraping developers.<ref>{{Cite web|url=https://support.google.com/websearch/answer/86640?hl=en|title="Unusual traffic from your computer network" - Search Help|website=support.google.com|language=en|access-date=2017-04-04}}</ref>
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