dgtlmoon/changedetection.io
Jun 2026 – Jun 2026
1 Month active
Languages Used
Python
Technical Skills
HTML parsingback end developmentunit testing
Charles Rossi
PROFILE
Charles Rossi
Developed an HTML Title Extraction Enhancement for the dgtlmoon/changedetection.io repository, focusing on reliably retrieving the <title> tag from web pages with unusually large <head> sections. Addressed a persistent edge case by improving the HTML parsing logic in Python, ensuring accurate metadata extraction even when the title tag appears deep within the document structure. Collaborated with another contributor to deliver a targeted, low-risk update that increased the reliability of change detection, bookmarking, and indexing features. Emphasized robust back end development and unit testing practices, resulting in higher data quality and more consistent downstream analytics for users of the platform.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
182
Activity Months1
Your Network
13 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 — dgtlmoon/changedetection.io: Delivered a focused HTML Title Extraction Enhancement to reliably extract the <title> tag from pages with very large <head> sections, ensuring accurate title retrieval even when the tag is far into the document. This fixes a long-standing edge case and improves the consistency of metadata used by change detection, bookmarking, and indexing. Co-authored-by: Charles Rossi (commit be4718f2b8ae8b502e8bf1299b1091c9dd1e2500; references #4217 #4220). Overall impact: higher data quality, more reliable change signals, and stronger downstream analytics.
1 Commits • 1 Features
Jun 1, 2026June 2026 — dgtlmoon/changedetection.io: Delivered a focused HTML Title Extraction Enhancement to reliably extract the <title> tag from pages with very large <head> sections, ensuring accurate title retrieval even when the tag is far into the document. This fixes a long-standing edge case and improves the consistency of metadata used by change detection, bookmarking, and indexing. Co-authored-by: Charles Rossi (commit be4718f2b8ae8b502e8bf1299b1091c9dd1e2500; references #4217 #4220). Overall impact: higher data quality, more reliable change signals, and stronger downstream analytics.
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
HTML parsingback end developmentunit testing
Repositories Contributed To
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