December 2025 monthly summary for mostafaalagamy/Metrolist: Focused on expanding accessibility and international reach through Vietnamese localization. Achieved 71.7% translation coverage (229/319 strings) with ongoing work to complete localization. Implemented via Weblate translation workflow; committed changes to add/update Vietnamese strings. Sets foundation for full i18n support and broader Vietnamese user adoption.

Month: 2025-10. This month focused on delivering a high-impact feature for the CuuTruyen parser, hardening parsers against site changes, and cleaning up the codebase. Key deliveries include a user-configurable cover image quality option and improved robustness across HentaiVN.su and related Vietnamese manga parsers, plus removal of an unused AtsuMoe Kotlin source file to reduce maintenance overhead.

September 2025 (2025-09) focused on strengthening data fetch reliability, expanding source coverage, and improving build quality for KotatsuApp/kotatsu-parsers. Key outcomes include rate-limit mitigation via added delays for TruyenQQ and KuroNeko, expansion of source coverage with Góc Truyện Tranh Vui and DragonTranslation.org, and updates to request headers and source domains to improve compatibility. The month also delivered header-level enhancements (HTTP Referer for BatCave and MadaraDex) and domain updates (site/vi), alongside extensive warnings cleanup and reliability fixes across multiple parsers. CI dependencies were refreshed to ensure pipeline stability. Overall, the changes increased data reliability, broadened data sources, and improved maintainability and deployment reliability.

August 2025 (2025-08) — Delivered key features and fixes across Kotatsu parsers, improving data accuracy, reliability, and developer efficiency. Highlights include API-driven tag retrieval for GocTruyenTranh, robust scanlator extraction fixes in LXManga, standardized User-Agent handling, domain and favicon updates for Vietnamese sources, and CI/CD workflow enhancements that shorten build times and increase reliability. Business value comes from better data quality, reduced maintenance, faster releases, and an improved user experience across sources.

Monthly summary for 2025-07 (KotatsuApp/kotatsu-parsers). Delivered key parser enhancements and domain maintenance across multiple sites, improved content discovery with author search features, and enhanced data parsing reliability and UI consistency. Major work included domain updates for Vietnamese manga sites, cross-parser author search, YuriGarden improvements for sorting and scanlator handling, LXManga altTitles parsing improvements, TruyenHentai18 parsing quality enhancements, MimiHentai sort order and favicon updates, and reliability fixes for OTruyenParser/EleceedTurkiye defaults.

June 2025 (2025-06) — KotatsuParsers delivered targeted parser enhancements across multiple sites to improve data accuracy, reliability, and maintainability. Key features introduced include MimiHentai top-list parsing with full manga detail extraction and removal of legacy state mappings; domain and request-behavior improvements for 1stKissManga to boost access reliability; page retrieval for NewTruyen to ensure manga pages display correctly; continued maintenance of Vietnamese sources and WestManga template alignment; and a focused bug fix for CManga chapter number formatting and localization. These changes reduce data gaps, stabilize cross-site parsing, and accelerate future site onboarding. Overall, these efforts enhance user-facing data quality, localization support, and developer efficiency.

April 2025 performance for KotatsuApp/kotatsu-parsers focused on reliability and user-facing search accuracy in the Shinigami Parser. Delivered tag-based search improvements and enhanced filtering, refactored core parsing logic and API usage to stabilize data retrieval across details, chapters, and pages, and fixed tag-based search issues. Result: more accurate manga data, better search experience, and a maintainable codebase enabling faster iteration and fewer regressions.

March 2025 performance summary for KotatsuApp/kotatsu-parsers. Delivered a set of parser enhancements and reliability improvements that broaden language support, stabilize content extraction, and maintain site accessibility across regions. Implemented targeted fixes to chapter lists, tags, and image loading to improve end-user experience and reduce manual maintenance. Overall impact includes higher uptime, more accurate content delivery, and stronger domain mappings with resilient URL processing.

Month: 2025-01 — Focused on data integrity improvements in KotatsuApp/kotatsu-parsers. Implemented a robust fix to manga state parsing and tag mapping to accurately reflect finished vs. ongoing statuses, and standardized the date format for chapter parsing to ensure consistent ingestion across datasets. The changes reduce downstream inconsistencies and improve UI accuracy and analytics downstream.

December 2024 monthly summary for KotatsuApp/kotatsu-parsers focused on stabilizing and expanding parsing coverage across key sources, upgrading branding consistency, and introducing new parser capabilities, complemented by targeted bug fixes to improve scraper reliability and data accuracy.