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Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.
The advent of social media has recently led to new online research methods, for example data mining of large datasets from such media [6] or web-based experiments within social media that are entirely under the control of researchers, e.g. those created with the software Social Lab. [7]
Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.
In October 2017 a new methodology to collect data for Google Analytics was announced, called Global Site Tag, or gTag.js. Its stated purpose was to unify the tagging system to simplify implementation. This new tag type is an alternative to the existing Analytics.js tag type or Google Tag Manager. [39]
A screen fragment and a screen-scraping interface (blue box with red arrow) to customize data capture process. Although the use of physical "dumb terminal" IBM 3270s is slowly diminishing, as more and more mainframe applications acquire Web interfaces, some Web applications merely continue to use the technique of screen scraping to capture old screens and transfer the data to modern front-ends.
Web tracking is the practice by which operators of websites and third parties collect, store and share information about visitors' activities on the World Wide Web.Analysis of a user's behaviour may be used to provide content that enables the operator to infer their preferences and may be of interest to various parties, such as advertisers.
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