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A general framework for scraping newspaper websites
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
2016 (Engelska)Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
Abstract [en]

Data streaming nowadays is one of the most used approaches used by websites and applications to supply the end user with the latest articles and news. As a lot of news websites and companies are founded every day, such data centers must be flexible and it must be easy to introduce a new website to keep track of. The main goal of this project is to investigate two frameworks where implementing a robot for given website should take some acceptable amount of time. It is really challenging task, first of all it aims optimizing of a framework which means to put less efforts on something and have the same result and one another thing is that it will be used by professors and students at the end so quality and robustness play big role here. In order to overcome this challenge two different types of news websites were investigated and through this process the approximately time to implement a single robot was extracted. Having in mind the time spent to implement a single robot, the new frameworks were implemented with the goal to spend less time to implement a new web robot. The results are two general frameworks for two different types of websites, where implementing a robot does not take so much efforts and time. The implementation time of a new robot was reduced from 18 hours to approximately 4 hours.

Ort, förlag, år, upplaga, sidor
2016. , s. 40
Nationell ämneskategori
Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-59044OAI: oai:DiVA.org:lnu-59044DiVA, id: diva2:1056964
Utbildningsprogram
Datavetenskap, kandidatprogram, 60 hp
Presentation
2016-05-30, 14:00 (Engelska)
Handledare
Examinatorer
Tillgänglig från: 2016-12-16 Skapad: 2016-12-15 Senast uppdaterad: 2018-01-13Bibliografiskt granskad

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fulltext(1098 kB)310 nedladdningar
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