Abstract
The proliferation of dynamic web content and complex site architectures presents significant challenges for automated web indexing and search engine optimization. While the Sitemap XML protocol offers a standardized format for declaring a website’s structure, the automated generation of accurate and comprehensive sitemaps remains a non-trivial computational task. This article presents a detailed analysis of a novel software artifact, a Sitemap Crawler, which synthesizes traditional breadth-first web crawling techniques with robust XML generation to produce protocol-compliant sitemaps. We examine the architectural decisions, data structures, and algorithms embodied in its Java implementation, focusing on its dual nature as both a graphical user interface application and a background processing engine. The crawler’s innovative use of batched disk I/O for memory management, its heuristic for polite crawling, and its sophisticated URL filtering mechanism are critically evaluated. This analysis contributes to the discourse on practical web data extraction tools by demonstrating a functional model that balances efficiency, robustness, and user accessibility in the domain of automated sitemap creation.
This work is licensed under a Creative Commons Attribution 4.0 International License.
