ETL pipeline using Selenium, Apache Airflow, and Docker. It extracts data from a website, transforms it into a structured format, and loads it into a data warehouse. The entire pipeline is containerized with Docker and scheduling is managed through Airflow to automate the process on a weekly basis.
active 2024-12-17 → 2024-12-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 14 days from 2024-12-17 to 2024-12-30. Pushes: 17 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ashdude14 | 19 | 17 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.