{"title":"Web2Vec: A python library for website-to-vector transformation","authors":"Damian Frąszczak, Edyta Frąszczak","doi":"10.1016/j.softx.2025.102070","DOIUrl":null,"url":null,"abstract":"<div><div>Web2Vec is a Python library designed to simplify website analysis by converting websites into vector representations through feature extraction from their content and structure. Utilizing Scrapy-based web crawlers, it automates data collection and supports both single-page analysis and large-scale crawling. This flexibility allows users to adapt the library to their specific needs, whether for quick, focused analysis or systematic data collection. Integrating over 200 website parameters into a single, easy-to-use framework, Web2Vec simplifies analytical tasks, making it a valuable resource across various fields. By serving as a centralized code repository for researchers, it eliminates the need to repeatedly implement similar code, providing an all-in-one integrator to streamline workflows and save time.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 102070"},"PeriodicalIF":2.4000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000378","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
Web2Vec is a Python library designed to simplify website analysis by converting websites into vector representations through feature extraction from their content and structure. Utilizing Scrapy-based web crawlers, it automates data collection and supports both single-page analysis and large-scale crawling. This flexibility allows users to adapt the library to their specific needs, whether for quick, focused analysis or systematic data collection. Integrating over 200 website parameters into a single, easy-to-use framework, Web2Vec simplifies analytical tasks, making it a valuable resource across various fields. By serving as a centralized code repository for researchers, it eliminates the need to repeatedly implement similar code, providing an all-in-one integrator to streamline workflows and save time.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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