
Over a three-month period, contributed to KotatsuApp/kotatsu-parsers by developing and refining NHentai site parsers, expanding content coverage and improving metadata accuracy across multiple NHentai domains. Leveraged Java and Kotlin to implement robust cross-site search functionality through a unified query system, upgraded the data model to support multiple authors, and enhanced parser reliability with improved CSS selectors and error handling. Introduced utilities for dynamic page URL construction and added a fallback mechanism for image loading, increasing parser resilience and reducing broken content. The work emphasized maintainability, type safety, and traceability, resulting in more reliable web scraping and backend integration.
April 2025 monthly summary for KotatsuApp/kotatsu-parsers focusing on reliability improvements in NHentai image loading. Delivered a fallback mechanism to alternate image formats when the original NHentai URL fails, improving content rendering stability across NHentai sources. The change is isolated to the NHentai image loading path and traceable to a single commit for easy review and rollback.
April 2025 monthly summary for KotatsuApp/kotatsu-parsers focusing on reliability improvements in NHentai image loading. Delivered a fallback mechanism to alternate image formats when the original NHentai URL fails, improving content rendering stability across NHentai sources. The change is isolated to the NHentai image loading path and traceable to a single commit for easy review and rollback.
Month: 2025-03 — KotatsuApp/kotatsu-parsers Concise monthly summary focusing on key accomplishments, major fixes, and impact.
Month: 2025-03 — KotatsuApp/kotatsu-parsers Concise monthly summary focusing on key accomplishments, major fixes, and impact.
February 2025 — KotatsuApp/kotatsu-parsers delivered meaningful business value by expanding content coverage, improving data quality, and hardening cross-site search. Implemented NHentai.to and NHentai.xxx parsers with integrated search across NHentai sites; fixed metadata extraction accuracy for NHentai.xxx; introduced a unified MangaSearchQuery system for robust, type-safe cross-site searches; upgraded the author data model to support multiple authors and updated parsers accordingly. These changes increase content coverage and metadata accuracy across NHentai sites, reduce maintenance cost for adding new sources, and improve search reliability and attribution in metadata.
February 2025 — KotatsuApp/kotatsu-parsers delivered meaningful business value by expanding content coverage, improving data quality, and hardening cross-site search. Implemented NHentai.to and NHentai.xxx parsers with integrated search across NHentai sites; fixed metadata extraction accuracy for NHentai.xxx; introduced a unified MangaSearchQuery system for robust, type-safe cross-site searches; upgraded the author data model to support multiple authors and updated parsers accordingly. These changes increase content coverage and metadata accuracy across NHentai sites, reduce maintenance cost for adding new sources, and improve search reliability and attribution in metadata.

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