This Python project scrapes data from multiple websites, processes it in real-time using generators, and generates reports. It uses decorators for logging and error handling, lambda functions for sorting and filtering, and list comprehensions for data cleaning. The tool is efficient and designed for large-scale web scraping tasks.
active 2024-10-20 → 2024-10-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 7 days from 2024-10-20 to 2024-10-26. Pushes: 20 total, peak 6 in a day. Pull requests: 6 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 2 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.