The article explores the use of Twint, a Python-based tool for scraping Twitter data without relying on Twitter's API or a Developer account, enabling users to extract tweets based on specific criteria such as themes, hashtags, and user interactions. It provides step-by-step instructions on installing and using Twint to gather tweets related to Davido's song "STAND STRONG" for sentiment analysis. The process includes data cleaning, sentiment categorization, and visualization, culminating in a word cloud to represent tweet frequency and sentiment distribution. The article demonstrates Twint's utility in social media monitoring and sentiment analysis, highlighting its ability to bypass API limitations and facilitate comprehensive data extraction and analysis.