A Python-based web scraper built with Selenium to collect public Twitter data for academic and research purposes.

• Collect tweets by keyword, date range, or user.
• Extract text content, likes, retweets, timestamps, and author info.
• Store results in structured formats: SQLite and JSON.
• Designed for non-commercial, ethical research only.

• This tool does not collect private or sensitive user data.
• Respects robots.txt and avoids aggressive scraping.
• Uses delays between requests to prevent rate-limiting.
• Not intended for commercial use or mass data harvesting.

• Python
• Selenium
• BeautifulSoup (optional)
• SQLite / JSON
• Pandas (for analysis)

{
  "tweet_id": "123456789",
  "text": "Great day at the university!",
  "likes": 12,
  "retweets": 3,
  "timestamp": "2024-07-15T14:30:00Z",
  "author": "@user123"
}