University of Twente Student Theses
Harvesting unstructured data in heterogenous business environments; exploring modern web scraping technologies
Vording, R.M. (2021) Harvesting unstructured data in heterogenous business environments; exploring modern web scraping technologies.
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| Abstract: | Web scraping technology can be used to retrieve data from multiple sources efficiently and effectively, but it could be difficult for companies to adopt this technology. This research includes a literature review on web scraping technology in general as well as its techniques and tools. Web scraping has been identified to have a syntactic and a semantic level. There seems to be no valid alternative for web scraping, where APIs have been discussed. A specific adoption model for web scraping technology is nonexistent, making it difficult to manage the adoption of said technology. Current adoption models are discussed and used as foundation for a web scraping adoption model. To determine the applicability of the technology, a case study will be conducted at a Dutch Logistics Service Provider to identify use cases for the use of web scraping technology, resulting in a recommendation for the use of the technology. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Business & IT BSc (56066) |
| Link to this item: | https://purl.utwente.nl/essays/85663 |
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