Scraping Google Maps Reviews for Analysis
Google Maps reviews provide direct feedback from customers who have interacted with a business. By scraping and analyzing these reviews, businesses gain valuable insights into what customers appreciate, complain about, and desire. This helps to better understand their strengths and weaknesses from a customer's perspective.
For this project, I scraped Google Maps reviews for a Holiday Inn hotel in Aktau, Kazakhstan. The reviews were then analyzed to identify the most common topics and sentiments expressed by customers. The analysis was performed using Python and its libraries, such as Pandas and Matplotlib. The results were visualized using Matplotlib and Seaborn.
The analysis revealed that the most common topics mentioned in the reviews were the hotel's staff and service, the cleanliness of the rooms, and the quality of the food. The sentiment analysis showed that the majority of reviews were positive, with customers expressing satisfaction with the hotel's services and facilities.
Below shown the plost of most common words from 5-star reviews:
1-star reviews mostly was complains about pool and cold water:
The insights gained from this analysis can help the hotel identify areas for improvement and capitalize on its strengths to attract more customers.