I need a solid, production-ready script that taps into the Twitter API in real time to collect three data points for a list of high-traffic user IDs: • User details (profile metadata) • Likes data (recent likes count and the liked tweet IDs) • Followers list (complete IDs with pagination handled) Please build it so it can stream or poll continuously without breaching Twitter’s rate limits. I expect clean, well-commented code—Python with Tweepy, Node with twitter-v2, or another open-source SDK is fine as long as you note any extra libraries. Key requirements – Real-time retrieval and automatic back-off when limits approach – Config file for API keys and the target user IDs – Simple logging to track requests, successes, and failures – Output to JSON or a lightweight database (SQLite or MongoDB) – A concise README that covers setup, environment variables, and sample commands My total budget sits between $400 and $600, and I’m ready to move today. If you’ve handled high-volume Twitter data before, please let me know how quickly you can deliver a first working version.