Aim of the project is scrap the reviews from online travel agencies(OTA) and their analysis. In this we use scrapped reviews through Trip advisor dataset. The web scrapping process was perform ed by python script that navigated through the data available on collecting reviews on hotels and restaurants and stored that reviews in csv file for scrapping reviews we used the beautiful soup library because it helps to extract the data from websites Then we performed Basic feature extraction using text data and sentimental analysis using vader sentiment . Then we did the topic modeling for to find Optimum number of topics for review.