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Crawling and Exploring RESTful Web APIs from RapidAPI

  • Wen Li,
  • Hongshuai Ren,
  • Yamei Nie,
  • Zihao Liu,
  • Guosheng Kang,
  • Jianxun Liu,
  • Zhenlian Peng

摘要

RapidAPI serves as a marketplace and management platform that integrates a wide range of Web APIs, offering developers access to a rich pool of API resources. More and more researchers are delving into ways to maximize the value created by leveraging these resources. Thus, acquiring the Web API data and knowing the details is of significance for researchers and ordinary users. In this paper, we propose the methodology of crawling Web APIs from RapidAPI ( https://rapidapi.com/hub ) and provide rich visualizations and statistical analysis for the crawled dataset. The crawling code and the crawled dataset are open for public access ( https://github.com/IntelligentServiceLab/RESTful-API-Crawler ) so that researchers and users can acquire them with no effort. Moreover, the use cases of RESTful Web APIs are provided as a usage reference for users and developers.