31/03/2023  •   6 min read  

TripAdvisor Data Scraping – A Transformative Strategy

TripAdvisor-Data-Scraping-–-A-Transformative-Strategy

TripAdvisor is a "tour de force" of the travel and hospitality industries. It has 702 million customer reviews, 7 million places where hotels, restaurants, tourist attractions, and 490 million active users every month. Using TripAdvisor to find the best and most exciting things to do in a new city or country has become a routine for anyone going somewhere new. You might be surprised to hear that TripAdvisor got 7,000 recent posts. These numbers are huge and very helpful for businesses in the hospitality industry for two reasons:

  • Getting on-listed on TripAdvisor and receiving a positive review is advantageous for organic traffic and customer footfall.
  • Web scraping TripAdvisor data that is publicly available website can be a boon for businesses like hotels, restaurants, etc.

The Reasons for Scraping Tripadvisor:

The-Reasons-for-Scraping-Tripadvisor

Scraping TripAdvisor information can make a business much more profitable. Some of the reasons why scraping TripAdvisor data is important are:

  • The first reason to get data from TripAdvisor is to compare prices. By knowing what your local competitors charge, what discounts they offer, and what other perks they offer, you can make better decisions and increase the popularity of your hotel or restaurant.
  • Web Scraping TripAdvisor data can help with competitive analysis. Find out how your competitors are doing. A thorough analysis of your competitors can help you understand and go above and beyond industry standards, set your brand apart, make your products and services stand out, and more.
  • The third reason to scrape TripAdvisor is to see how your hotel or restaurant is doing by looking at the reviews, ratings, and other feedback customers have left. So, you can use the data to manage your reputation, make sure customers are happy, and keep them.

The Ways to Scrape Hidden Data:

The-Ways-to-Scrape-Hidden-Data
  • Modern websites store data in the HTM page that you can see and in JavaScript code embedded in the page. The method is handy for dynamic website elements drawn by JavaScript when the page loads or a user does something. There are two ways to look for hidden web data:
  • Tools like Puppeteer, Selenium, and Playwright can control a headless and real web browser to render the pages and return the final HTML. You must run a web browser and wait for everything to load, which costs money and takes time.
  • The second way to get to confidential data is to use regular expressions, HTML parsing tools, and standard parsing algorithms to look for hidden state or cache variables in HTML. The process is disorganized, but it is much faster, and you will have access to the whole dataset, which may have much more detailed information than what you can see in HTML.

Hidden web data also has tokens that the website's obvious APIs use to hide data or stop web scrapers from getting it. But the most common ways to get at hidden data are to:

  • Use RegEx
  • Use JSON finding algorithms
  • Using Js2xml to parse JavaScript and more

Various Data Kinds That Can Be Extracted From Tripadvisor

Various-Data-Kinds-That-Can-Be-Extracted-From-Tripadvisor

TripAdvisor is a global platform that lets people book flights, hotels, and other tourist activities. Users can also leave comments about hotels, restaurants, tours, and other businesses in the hospitality industry. So, the site is a maze of information, like reviews, prices, etc. Consumers can use the information to find deals, get good feedback, and get the most for their money. TripAdvisor helps travelers find the best options for their budgets in a tourism and hospitality industry that is very competitive. But hotels, restaurants, and travel agencies can use the information people leave behind. Some of the TripAdvisor information that can be scraped are:

  • Hotel Name
  • Address
  • City
  • State
  • Zip Code
  • Booking Service
  • Boutique Hotels
  • Fax Number
  • Food Rates
  • Geo Location
  • Hotel Classes
  • Hotel Facilities
  • Hotel Styling
  • Hotel Website Links
  • Hotels Nearby
  • Language
  • Luxury Hotels
  • Menu Information
  • Mobile Numbers
  • Most Booked Properties
  • Phone Numbers
  • Reports
  • Similar Hotels
  • Total Rooms
  • Traveler Type
  • Traveling Ratings

The Top Three Advantages of Data Scraping From Tripadvisor

The-Top-Three-Advantages-of-Data-Scraping-From-Tripadvisor

Web scraping TripAdvisor data has these benefits:

Rental Comparison – The best thing about using a TripAdvisor scraper is comparing lodging or rental prices. The simple method helps people find the best deal and judge different types of units. For example, travel agencies can keep up with the market by looking into the prices of rooms by night.

Improve customer service. TripAdvisor lets people post their reviews of lodges, cafes, hotels, and other places for everyone to see. So, using a TripAdvisor scraper helps you get reviews and learn how your target customers see your business.

Learn about the competition. The third benefit of scaping TripAdvisor data is that it allows you to look at all of your customer's options and develop strategies, discounts, or pricing plans that will help you stand out.

The Ways to Scrape Data from Tripadvisor without Coding

The-Ways-to-Scrape-Data-from-Tripadvisor-without-Coding

After you've downloaded our web scraper, you can scrape TripAdvisor data by following the steps below:

  • Paste the TripAdvisor URL for the page you want to target. Copy the URL you want to scrape data from on TripAdvisor, paste it into the search box, and then click the "Start" button to use the auto-detection feature to scrape data.
  • Review and change the workflow. After the detection, the second step is to make a workflow. In the preview section, you can see all of the fields that have been scrapped. Then change the field you want to change.
  • Run the Workflow to get Webscrape TripAdvisor data from the web – When you're done making changes, click the "Run" button to begin scraping the data. The scraping results can be sent out in CSV, Excel, or any other format.

Scraping Data from Tripadvisor with Python

Scraping-Data-from-Tripadvisor-with-Python

If you know how to code, Python can be a great way to get information from any website, including TripAdvisor. You can do the process with the help of the tutorials and codes that developers share on GitHub. If you went down the Python coding path, you would need help from Python modules like Beautiful Soup or Selenium.

Wrapping It Up

TripAdvisor is a treasure trove of information about tourist attractions, hotels, cafes, tours, places to stay, and more. But it is impossible to get the information out by hand. Web scraping is the best way to do things because it makes everything easier. Web scraping TripAdvisor data helps a lot of different people. If you want to go abroad, web scraping can help you plan your dream trip at the best price and quality. At the same time, web scraping data from TripAdvisor can help travel advisors and agencies understand their customers' needs, goals, and wants, analyze their competitors, and stand out from the crowd.

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