This project is an asynchronous Twitter scraper that fetches tweets based on a specified brand or keyword.
The scraper utilizes Twikit to interact with Twitter's search feature and supports pagination using cursors to fetch large amounts of data efficiently.
🚀 Key Features
- 🔍 Fetches real-time tweets mentioning specific brands (e.g., Nike, Adidas, Under Armour)
- 🕒 Supports asynchronous execution for non-blocking API requests
- 📦 Stores tweets in CSV format for easy data analysis
- 🔄 Handles rate limits gracefully using Twikit's API headers
- ⚡ Uses cursor-based pagination for continuous tweet extraction
- 🛠️ Well-structured modular codebase for easy customization
- ✅ Skips duplicate tweets to avoid redundant data