jxxghp/MoviePilot
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentData ExtractionData ParsingHTML ParsingPythonRegular Expressions
Reaper
PROFILE
Reaper
During October 2025, this developer enhanced the MoviePilot repository by refactoring the backend logic for torrent seeding data extraction from Bitpt and Zhixing. Using Python, regular expressions, and HTML parsing, they improved the efficiency and accuracy of parsing routines, standardizing data output formats and introducing robust fallback mechanisms to ensure reliable retrieval of user statistics. Their work focused on strengthening table and row identification, which increased the reliability of downstream analytics and reduced manual intervention. The depth of their engineering established a scalable foundation for future data extraction efforts, demonstrating strong backend development and data parsing skills within a focused project scope.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
271
Activity Months1
Your Network
53 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — MoviePilot (jxxghp/MoviePilot). Focused on improving torrent seeding data collection for Bitpt and Zhixing. Refactored parsing logic to improve efficiency and accuracy, standardized data output formats, and added robust fallback mechanisms to ensure reliable data retrieval for torrent site user statistics. Enhanced table/row identification and overall parsing robustness, setting a solid foundation for scalable data extraction across sites. Impact: higher data quality, more reliable analytics, and reduced manual rework in downstream dashboards.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — MoviePilot (jxxghp/MoviePilot). Focused on improving torrent seeding data collection for Bitpt and Zhixing. Refactored parsing logic to improve efficiency and accuracy, standardized data output formats, and added robust fallback mechanisms to ensure reliable data retrieval for torrent site user statistics. Enhanced table/row identification and overall parsing robustness, setting a solid foundation for scalable data extraction across sites. Impact: higher data quality, more reliable analytics, and reduced manual rework in downstream dashboards.
October 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentData ExtractionData ParsingHTML ParsingPythonRegular ExpressionsWeb Scraping
Repositories Contributed To
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