Survey On Leveraging Django and Redis Using Web Scrapping
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Abhinav R, Abhinav Raman, Abilash R|
|DOI : 10.14445/22312803/IJCTT-V68I4P110|
How to Cite?
Abhinav R, Abhinav Raman, Abilash R, "Survey On Leveraging Django and Redis Using Web Scrapping," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 54-58, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P110
Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites.Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. Over the years, due to advancements in web development and its technology, various frameworks have come in use and almost all of websites are dynamic with their content being served from CMS. This makes it tough to extract data since there is no common template for extracting data. Hence we use RSS.RSS (originally RDF Site Summary; later, two competing approaches emerged, which used the backronyms Rich Site Summary and Really Simple Syndication respectively) is a type of web feed which allows users and applications to access updates to websites in a standardized, computer-readable format.This project combines the use of RSS to extract data from websites and serve users in a robust and easy way. The differentiation is that this project uses server side caching to serve users almost instantaneously without the need to perform data extraction from the requested site all over again.This is done using Redis and Django.
Web Scrapping, Survey
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