NYC Data Science Academy| Blog
Bootcamps
Lifetime Job Support Available Financing Available
Bootcamps
Data Science with Machine Learning Flagship ๐Ÿ† Data Analytics Bootcamp Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lesson
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories Testimonials Alumni Directory Alumni Exclusive Study Program
Courses
View Bundled Courses
Financing Available
Bootcamp Prep Popular ๐Ÿ”ฅ Data Science Mastery Data Science Launchpad with Python View AI Courses Generative AI for Everyone New ๐ŸŽ‰ Generative AI for Finance New ๐ŸŽ‰ Generative AI for Marketing New ๐ŸŽ‰
Bundle Up
Learn More and Save More
Combination of data science courses.
View Data Science Courses
Beginner
Introductory Python
Intermediate
Data Science Python: Data Analysis and Visualization Popular ๐Ÿ”ฅ Data Science R: Data Analysis and Visualization
Advanced
Data Science Python: Machine Learning Popular ๐Ÿ”ฅ Data Science R: Machine Learning Designing and Implementing Production MLOps New ๐ŸŽ‰ Natural Language Processing for Production (NLP) New ๐ŸŽ‰
Find Inspiration
Get Course Recommendation Must Try ๐Ÿ’Ž An Ultimate Guide to Become a Data Scientist
For Companies
For Companies
Corporate Offerings Hiring Partners Candidate Portfolio Hire Our Graduates
Students Work
Students Work
All Posts Capstone Data Visualization Machine Learning Python Projects R Projects
Tutorials
About
About
About Us Accreditation Contact Us Join Us FAQ Webinars Subscription An Ultimate Guide to
Become a Data Scientist
    Login
NYC Data Science Acedemy
Bootcamps
Courses
Students Work
About
Bootcamps
Bootcamps
Data Science with Machine Learning Flagship
Data Analytics Bootcamp
Artificial Intelligence Bootcamp New Release ๐ŸŽ‰
Free Lessons
Intro to Data Science New Release ๐ŸŽ‰
Find Inspiration
Find Alumni with Similar Background
Job Outlook
Occupational Outlook
Graduate Outcomes Must See ๐Ÿ”ฅ
Alumni
Success Stories
Testimonials
Alumni Directory
Alumni Exclusive Study Program
Courses
Bundles
financing available
View All Bundles
Bootcamp Prep
Data Science Mastery
Data Science Launchpad with Python NEW!
View AI Courses
Generative AI for Everyone
Generative AI for Finance
Generative AI for Marketing
View Data Science Courses
View All Professional Development Courses
Beginner
Introductory Python
Intermediate
Python: Data Analysis and Visualization
R: Data Analysis and Visualization
Advanced
Python: Machine Learning
R: Machine Learning
Designing and Implementing Production MLOps
Natural Language Processing for Production (NLP)
For Companies
Corporate Offerings
Hiring Partners
Candidate Portfolio
Hire Our Graduates
Students Work
All Posts
Capstone
Data Visualization
Machine Learning
Python Projects
R Projects
About
Accreditation
About Us
Contact Us
Join Us
FAQ
Webinars
Subscription
An Ultimate Guide to Become a Data Scientist
Tutorials
Data Analytics
  • Learn Pandas
  • Learn NumPy
  • Learn SciPy
  • Learn Matplotlib
Machine Learning
  • Boosting
  • Random Forest
  • Linear Regression
  • Decision Tree
  • PCA
Interview by Companies
  • JPMC
  • Google
  • Facebook
Artificial Intelligence
  • Learn Generative AI
  • Learn ChatGPT-3.5
  • Learn ChatGPT-4
  • Learn Google Bard
Coding
  • Learn Python
  • Learn SQL
  • Learn MySQL
  • Learn NoSQL
  • Learn PySpark
  • Learn PyTorch
Interview Questions
  • Python Hard
  • R Easy
  • R Hard
  • SQL Easy
  • SQL Hard
  • Python Easy
Data Science Blog > Web Scraping > Scraping Data on Hotels on Miami Beach

Scraping Data on Hotels on Miami Beach

Chaitali Majumder
Posted on May 10, 2021
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

Introduction

Miami Beach, located in Florida, US is a world-famous tourist spot in the blue backdrop of the Atlantic Ocean. Data shows South Beach is a part of Miami Beach which attracts millions of tourists for its exquisite view of Ocean view, white sand beach and all other entertainments ideal for a great vacation time. 

Primary objective of this project is to web scrape all popular Miami beach hotels from Tripadvisor webpage and create a comparative presentation based on Hotel group categorization, starting price, amenities, location attraction, rating and popular review comments. Tripadvisor doesnโ€™t provide the list of hotels based on different categories like Hotel Chain/Boutique Hotel /Other Local Hotels. This analysis helps to quickly compare the price variation based on hotel category. Sentiment Analysis on popular review comments helps to identify the overall satisfaction level and needs of consumers.

Before going in technical detail,  let's define what are the hotel categories to be identified through this project. Hotel categories have been categorized in three main segments based on socio-economic choices of tourists.

  • Chain Hotel : Part of a chain or group of hotels operated by the same owner and having same standard in all locations. Hilton, Marriot, IHG, Hyatt are some of the main chains.
  • Boutique Hotel : Medium size hotels with one-on-one five-star hospitality service and luxury ambiance to get the private and custom feeling. Lennox, The Betsy, Urbanica โ€“ are some hotels of this category in Miami Beach
  • Local Hotel: Hotels operated by local owners to meet the demand of local attractions with standard/luxury service and ambiances. Ocean Reef, Venezia ,The Meridian are local in Miami Beach

Target Audience

The primary audience for this project is the tourists getting advantages as:

  • To get an idea for counts of Chain Hotel/Boutique Hotel/Local Hotel in the area and choose the hotel based on their choice
  • Can compare hotel price per day along with other criteria for these 3 categories of hotels.
  • Can compare pricing of Beach-front Hotels in main Miami beach and South Beach hotels.
  • Able to decide based on the hotel amenities whether to stay in a luxury/standard/budget hotel.

Dataset Generation

Scrapy has been used to web scrape the TripAdvisor Page for Miami beach hotels and total 336 hotel records have been scraped. Hotel Name, Start Price, Hotel rating, Hotel reviews, Location attraction, Amenities, Popular review comments and nearby restaurant count data have been collected for 336 hotels and stored in different columns of an Excel.

note: Start Price of Hotel comes is the current day room rate in Trip Advisor. The presentation data has been retrieved on Dec 2020 from Trip Advisor

Pre-Processing & Data Engineering

Missing Data Handling - Itโ€™s observed that start price of some of the hotels are blank in trip advisor page. The blank rows have been discarded in pre-processing as no imputed value will help in analysis.

Hotel Group Categorization โ€“ Hilton, Marriot, Lexington, IHG, Hyatt, Westgate and other standard groups are the main chains used to identify the Chain hotels. โ€œBoutique Hotelโ€ word have been retrieved from popular review comments to identify the boutique hotels. Rest have been marked as Local Hotels.

Hotel Location Categorization -  Popular Review Comment data have been used to identify the word โ€œSouth Beachโ€ for the categorization of South Beach Hotels. Hotel Amenities data have been used to identify the word โ€œBeach Frontโ€ to categorize the Beach Front hotels.

Exploratory Data Analysis

Primary analysis reveals that the Local hotel counts are much higher than Boutique or Chain hotels. Price density also has sharp curve based on different price ranges.

The hotel price statistical analysis explores that Chain and Boutique hotels maintain an average price range whereas local hotel prices vary significantly. The standard deviation on price is 144 for local hotels whereas for Chain and Boutique it's 88 and 63. 

The result of analysis on how hotel prices vary with hotel rating reveals that for all 3 types of  hotel categories, expensive hotels are mostly having high rating.

No direct relation found between hotel prices based on location attraction or walkable rating from the beach.

Scraping Data on Hotels on Miami Beach
Scraping Data on Hotels on Miami Beach

Word Cloud Data Analysis

Based on word cloud analysis on the data retrieved from popular review comments, itโ€™s observed that โ€˜South Beachโ€™ signifies an important role in Miami. So, the next step for data analysis tends to hotel distribution and price comparison in South Beach compared to main Miami Beach.

 

Sentiment Data Analysis on Popular Review Comments

From the sentiment analysis, itโ€™s observed that for chain and boutique hotels polarity is mostly positive. After analysis of the reason, itโ€™s found that mainly the positive feedbacks have been captured in popular review comments of Trip Advisor page. As in this web scraping project scope, the data source is โ€˜Popular Review Commentsโ€™, the sentiment analysis is coming little biased on positive side.

Data Comparison with South Beach

Interesting observation found when compared the hotel price of Miami beach with the south beach. South beach hotels are more expensive than other places probably because of the attractive white sand beach. Additionally beach front hotels are expensive than the other hotels.

  • Local hotel counts are nearly 60% more than the Chain hotel and boutique hotels in Miami beach area.
  • Competition is high as 90% of Chain and Boutique Hotel ratings are having high rating compare to low ratings of 30% local hotels.
  • Hotel location, Hotel Rating and whether itโ€™s beach front or not โ€“ are 3 major factors to vary the hotel prices.
  • Chain hotels are fewer and expensive in south beach
  • Beach front hotels are few in South Beach 

Recommendations

Based on above mentioned data analysis on the Miami hotels, some recommendations can be provided for the tourists to meet the best expectations like:

  • The tourists having priority on quality of hotel services โ€“ are recommended to choose either Chain or Boutique hotels. Luxury local hotels also will be an option for them.
  • The tourists having priority on budget โ€“ are recommended to choose local or Chain budget hotels in main Miami Beach.
  • South Beach hotels are expensive compare to main Miami beach hotels. Tourists having priority for luxury on holiday โ€“ are recommended to choose the Luxury Local/Boutique hotels on South Beach. Ocean Front hotels will be ideal for them.
  • The tourists having priority on outside fun more than hotels โ€“ are recommended to choose standard or budget hotels of local/chain category.

For Python code, please click here

About Author

Chaitali Majumder

Decisive, analytical-minded Data Scientist and Business Leader with a proven track record of 10+ years of work experience in Business Process Management project implementations.
View all posts by Chaitali Majumder >

Related Articles

R
Data Analysis on The Mental Health Crisis
Python
Data Analysis on WallStreetBets and Its Impact On the Market
Python
Data Analysis on Our Happiness and Environmental Indicators
Python
Using Auction House Data to Evaluate Classic Cars
Student Works
Data Study on Top Manufacturing Companies by Income in 2020

Leave a Comment

No comments found.

View Posts by Categories

All Posts 2399 posts
AI 7 posts
AI Agent 2 posts
AI-based hotel recommendation 1 posts
AIForGood 1 posts
Alumni 60 posts
Animated Maps 1 posts
APIs 41 posts
Artificial Intelligence 2 posts
Artificial Intelligence 2 posts
AWS 13 posts
Banking 1 posts
Big Data 50 posts
Branch Analysis 1 posts
Capstone 206 posts
Career Education 7 posts
CLIP 1 posts
Community 72 posts
Congestion Zone 1 posts
Content Recommendation 1 posts
Cosine SImilarity 1 posts
Data Analysis 5 posts
Data Engineering 1 posts
Data Engineering 3 posts
Data Science 7 posts
Data Science News and Sharing 73 posts
Data Visualization 324 posts
Events 5 posts
Featured 37 posts
Function calling 1 posts
FutureTech 1 posts
Generative AI 5 posts
Hadoop 13 posts
Image Classification 1 posts
Innovation 2 posts
Kmeans Cluster 1 posts
LLM 6 posts
Machine Learning 364 posts
Marketing 1 posts
Meetup 144 posts
MLOPs 1 posts
Model Deployment 1 posts
Nagamas69 1 posts
NLP 1 posts
OpenAI 5 posts
OpenNYC Data 1 posts
pySpark 1 posts
Python 16 posts
Python 458 posts
Python data analysis 4 posts
Python Shiny 2 posts
R 404 posts
R Data Analysis 1 posts
R Shiny 560 posts
R Visualization 445 posts
RAG 1 posts
RoBERTa 1 posts
semantic rearch 2 posts
Spark 17 posts
SQL 1 posts
Streamlit 2 posts
Student Works 1687 posts
Tableau 12 posts
TensorFlow 3 posts
Traffic 1 posts
User Preference Modeling 1 posts
Vector database 2 posts
Web Scraping 483 posts
wukong138 1 posts

Our Recent Popular Posts

AI 4 AI: ChatGPT Unifies My Blog Posts
by Vinod Chugani
Dec 18, 2022
Meet Your Machine Learning Mentors: Kyle Gallatin
by Vivian Zhang
Nov 4, 2020
NICU Admissions and CCHD: Predicting Based on Data Analysis
by Paul Lee, Aron Berke, Bee Kim, Bettina Meier and Ira Villar
Jan 7, 2020

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day ChatGPT citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay football gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income industry Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI

NYC Data Science Academy

NYC Data Science Academy teaches data science, trains companies and their employees to better profit from data, excels at big data project consulting, and connects trained Data Scientists to our industry.

NYC Data Science Academy is licensed by New York State Education Department.

Get detailed curriculum information about our
amazing bootcamp!

Please enter a valid email address
Sign up completed. Thank you!

Offerings

  • HOME
  • DATA SCIENCE BOOTCAMP
  • ONLINE DATA SCIENCE BOOTCAMP
  • Professional Development Courses
  • CORPORATE OFFERINGS
  • HIRING PARTNERS
  • About

  • About Us
  • Alumni
  • Blog
  • FAQ
  • Contact Us
  • Refund Policy
  • Join Us
  • SOCIAL MEDIA

    ยฉ 2025 NYC Data Science Academy
    All rights reserved. | Site Map
    Privacy Policy | Terms of Service
    Bootcamp Application