Web Scraping for Unstructured Data Over Web

  • G. Naga Chandrika
  • Somula Ramasubbareddy
  • K. Govinda
  • E. SwethaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1076)


The need and significance for extracting information from the web is rising up with an increasing trend. Almost every day, we end up in a circumstance, where we need to extract information from the web. This is not always about finding new courses, but we also have to prone for reviews and data for providing a brief about them. Mostly, the issue is how we scrap the data and store it, but not on the strategy we use to perform it. The project done here is a proof of concept for how we could integrate it with php to make the updating by running python on the server. Here, we are going to use the python script to extract the info from a website and parse it to get the required information regarding our needs. Then, the data is send to the webserver hosted on the internet, the php running on the server will get the data from the python script. The data is been store on the mysql server using the php script and every time, we run the python, the data in the website changes.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • G. Naga Chandrika
    • 1
  • Somula Ramasubbareddy
    • 1
  • K. Govinda
    • 2
  • E. Swetha
    • 3
    Email author
  1. 1.ITVNRVJIETHyderabadIndia
  2. 2.SCOPEVIT UniversityVelloreIndia
  3. 3.SV College of EngineeringCSETirupatiIndia

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