This project involved scraping user reviews from Google and Zomato to analyze customer sentiments and assess business performance. The reviews were processed and stored in text files and JSON format for further analysis.
Handling data privacy issues and ensuring that the reviews were accurately captured from both platforms posed challenges. Additionally, dealing with large volumes of user reviews required efficient data processing techniques.
The project utilized BeautifulSoup and Requests to scrape reviews from both platforms. Data was stored in JSON and text files, which could then be used for sentiment analysis and performance tracking of businesses.
The system provided valuable insights into customer sentiments and helped businesses assess their performance based on user feedback. Clients reported better customer insights and improved decision-making.