A Crawler–Parser-Based Approach to Newspaper Scraping and Reverse Searching of Desired Articles

  • Ankit Aich
  • Amit Dutta
  • Aruna Chakraborty
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 701)


How often does it happen, that we cannot get enough information from a newspaper. Often an article mentions a name we have not heard before or simply does not shed enough light on the news and its details. Online newspapers even have a problem of webpage noise. Every article is filled with HTML, Meta tags, JavaScript, and whatnot. This paper provides a fast and efficient approach to scraping a newspaper to get any desired article without the noise and reverse search the same topic on Google to get a list of the most relevant information regarding that article. The algorithm supports ten languages and works with the best newspapers like CNN and BBC.


Reverse searching Parsing Crawling Newspaper 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.St. Thomas College of Engineering and TechnologyKolkataIndia

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