
Worked on the manga-download/haruneko repository, focusing on enhancing both feature quality and reliability. Improved manga search results by refining ComicK API integration, sorting results by user follow count and increasing the result limit to broaden discovery. Addressed inconsistent image downloads from ReaperScans by correcting CSS selectors, ensuring all chapter images are reliably fetched during web scraping. Demonstrated backend development skills using TypeScript, with careful attention to API parameter tuning and robust data extraction. The work delivered more relevant search results, reduced download failures, and provided a more predictable scraping experience, reflecting a thoughtful approach to both user value and maintainability.
April 2025 — manga-download/haruneko: Key features delivered and major fixes driving user value and reliability. 1) Manga search results quality improvements via ComicK API: improved relevance and breadth by sorting by user_follow_count and increasing limit to 50. 2) Fixed inconsistent image downloads from ReaperScans: corrected CSS selector to reliably fetch all chapter images. Impact: improved content discovery, reduced download failures, and more predictable scraping behavior. Technologies demonstrated: API parameter tuning, CSS selectors for robust image extraction, and integration with external data sources.
April 2025 — manga-download/haruneko: Key features delivered and major fixes driving user value and reliability. 1) Manga search results quality improvements via ComicK API: improved relevance and breadth by sorting by user_follow_count and increasing limit to 50. 2) Fixed inconsistent image downloads from ReaperScans: corrected CSS selector to reliably fetch all chapter images. Impact: improved content discovery, reduced download failures, and more predictable scraping behavior. Technologies demonstrated: API parameter tuning, CSS selectors for robust image extraction, and integration with external data sources.

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