This project demonstrates web scraping of Twitter using Python and Selenium. The code logs in to Twitter, searches for tweets with a specific keyword, and extracts user data and tweet text. The scraped data is saved to a CSV file which then can be used for further analysis.
active 2023-09-18 → 2025-01-30 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 501 days from 2023-09-18 to 2025-01-30. Pushes: 4 total, peak 2 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 10 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 |
|---|---|---|---|---|
| zararashraf | 5 | 4 | 1 | 0 |
| yangziy | 1 | 0 | 1 | 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 — 10 stars here means stars gained during the window, not the repo's star count.