OASIcs.SLATE.2022.18.pdf
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ScraPE - An Automated Tool for Programming Exercises Scraping
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Ricardo Queirós 
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Volume:
11th Symposium on Languages, Applications and Technologies (SLATE 2022)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Languages, Applications and Technologies (SLATE) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-07-27
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Ricardo Queirós. ScraPE - An Automated Tool for Programming Exercises Scraping. In 11th Symposium on Languages, Applications and Technologies (SLATE 2022). Open Access Series in Informatics (OASIcs), Volume 104, pp. 18:1-18:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/OASIcs.SLATE.2022.18
https://doi.org/10.4230/OASIcs.SLATE.2022.18
Abstract
Learning programming boils down to the practice of solving exercises. However, although there are good and diversified exercises, these are held in proprietary systems hindering their interoperability. This article presents a simple scraping tool, called ScraPE, which through a navigation, interaction and data extraction script, materialized in a domain-specific language, allows extracting the data necessary from Web pages - typically online judges - to compose programming exercises in a standard language. The tool is validated by extracting exercises from a specific online judge. This tool is part of a larger project where the main objective is to provide programming exercises through a simple GraphQL API.
Subject Classification
ACM Subject Classification
- Applied computing → Computer-managed instruction
- Applied computing → Interactive learning environments
- Applied computing → E-learning
Keywords
- Web scrapping
- crawling
- programming exercises
- online judges
- DOM
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References
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