The internet is the number one information provider in the world and it is of course the largest in the same course. Web scraping is meant to extract and harvest useful information from the internet. It can be regarded as a multidisciplinary process that involves statistics, databases, data harvesting and data retrieval.
There has been noted a rapid expansion of the web and therefore causing an enormous growth of information. This has led to increased difficulty in the extraction of useful and potential information. Web scraping therefore confronts this problem by harvesting explicit information from a number of websites for knowledge discovery and easy access. It is important to realize that query interfaces of web databases are prone to sharing of same building blocks. It is therefore important to realize that the web offers unprecedented challenge and opportunity to data harvesting.
Source:http://www.loginworks.com/blogs/web-scraping-blogs/web-scraping-solution-data-harvesting/
There has been noted a rapid expansion of the web and therefore causing an enormous growth of information. This has led to increased difficulty in the extraction of useful and potential information. Web scraping therefore confronts this problem by harvesting explicit information from a number of websites for knowledge discovery and easy access. It is important to realize that query interfaces of web databases are prone to sharing of same building blocks. It is therefore important to realize that the web offers unprecedented challenge and opportunity to data harvesting.
Source:http://www.loginworks.com/blogs/web-scraping-blogs/web-scraping-solution-data-harvesting/
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