SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models
<|reference_start|>SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models: In the digital era, the widespread use of APIs is evident. However, scalable utilization of APIs poses a challenge due to structure divergence observed in online API documentation. This underscores the need for automatic tools to facilitate API consumption. A viable approach involves the conversion of documentation into an API Specification format. While previous attempts have been made using rule-based methods, these approaches encountered difficulties in generalizing across diverse documentation. In this paper we introduce SpeCrawler, a comprehensive system that utilizes large language models (LLMs) to generate OpenAPI Specifications from diverse API documentation through a carefully crafted pipeline. By creating a standardized format for numerous APIs, SpeCrawler aids in streamlining integration processes within API orchestrating systems and facilitating the incorporation of tools into LLMs. The paper explores SpeCrawler's methodology, supported by empirical evidence and case studies, demonstrating its efficacy through LLM capabilities.<|reference_end|>
@article{lazar2024specrawler:,
    title={SpeCrawler: Generating OpenAPI Specifications from API Documentation
  Using Large Language Models},
    author={Koren Lazar, Matan Vetzler, Guy Uziel, David Boaz, Esther Goldbraich,
  David Amid, Ateret Anaby-Tavor},
    journal={arXiv preprint arXiv:2402.11625},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.11625},
    primaryClass={cs.CL}
}