Tripadvisor API Data For Every Traveler With Web Scraping

Hannah Benson
March 13, 2021

Sites like Tripadvisor make it easy to compare hotel and flight prices, ensuring you get the best deal. Tripadvisor is useful for travelers and travel agents alike because of its ability to find you the best deals, including hotels or services you might’ve otherwise missed. TripAdvisor aggregates vital travel data that can be easily gleaned and redistributed as a source of information for any software or apps in the travel sector.

In addition to travel, Tripadvisor is home to tons of useful data from flight prices, hotel prices, popular destinations, and more–even data indicators of what’s trending or what has the potential to trend. Web Scraping, the automatic extraction of data from web pages, can be used to scrape Tripadvisor for this data. The Tripadvisor API allows travel agencies or hotels to embed Tripadvisor ratings, review, and data into their own website. By scraping useful data and taking advantage of the Tripadvisor API, you’re sure to succeed.

If you already know the basics about Tripadvisor, use the table of contents to discover more about the benefits of using a scraping tool on the site.

Table of Contents

What is Tripadvisor data?

tripadvisor scrape Tripadvisor is a website people can use to book flights, accommodations, and experiences. Users can also leave reviews for hotels, restaurants, tours, etc. Therefore, the site itself contains tons of review data and price data. For consumers, such data helps you find the best deals, including bundles, and compile reviews to get a sense of a place beyond the photos. For travel agents or others working in hospitality, Tripadvisor helps people find your hotels, rentals, or tours in a crowded and competitive travel market.

How to Get Data from Tripadvisor

Trip advisor api There is tons of data to gather from Tripadvisor. Web scraping, the automatic extraction of data from a web page, is the best way to access this data. By using a scraper, you are able to compile price and review data into a spreadsheet that is easy to analyze for actionable insights–or better yet, that data can be redistributed with a scraping API.

For those working in travel, the Tripadvisor API allows you to embed reviews and more from Tripadvisor into your own website. This is perfect because it allows potential customers that visit your site to see verified reviews from a trusted source in travel.

How to scrape data from Tripadvisor

Collecting Tripadvisor data is surprisingly easy with data scrapers. If you simply want to find the best hotel for your platform, then you just have to give the scraper certain keywords (like location, type of facility you’re researching, or even exact review dates) to get output data (like reviewer names, when they stayed at the facility and if their review was considered helpful by other users.) This output data will certainly help you better understand and compare location perceptions without having to scroll through pages of reviews that might not even be relevant to your search.

If you’re a travel facility looking to find out what customers are saying about destinations or even your own business on Tripadvisor, you can use the same input data to receive the same results. However, you get to decide how you present this information to your team and how it can impact your future business goals. Web scraping Tripadvisor for data helps you understand the competition and how consumers feel about your accommodation.

Benefits of Scraping Data from Tripadvisor

Web scraping tripadvisor While it is easy to think of Tripadvisor as simply a way to book flights, there are so many things to learn from its data. Below are just a few examples of how to collect data from Tripadvisor and use it to your advantage.

Compare rental property prices

Comparing rental or hotel prices is one of the main benefits of using a Tripadvisor scraper. For consumers, this is an easy way to find the best deal and compare different kinds of properties. Travel agents can get a better sense of the competition by scraping for nightly rates.

Price comparison is extra useful if you are still deciding where to travel. For example, you may be looking to leave New York City for a weekend by traveling to an outside town. Yet, there are tons of places to choose from. When you search by location and then scrape those results, you discover which towns or regions are the cheapest. Therefore, you don’t just find the best per night price, but also can find the least expensive locations regardless of accommodation. For travel agents, understanding your local competition has a larger impact than competing with large hotel chains. Seeing the prices of other local hotels generates insights of how to stand out in a local context.

Understand your reputation

Similar to reviews on Amazon or eBay, Tripadvisor allows guests to leave reviews for accomodations, experiences, restaurants, and more. Scraping these reviews using a Tripadvisor review scraper allows insight into how consumers view your experience. Whether you are running a hotel, bed and breakfast, or a tour of local churches, Tripadvisor contains data useful to understanding your reputation with the public.

Using this data, you can easily see patterns across reviews when they are organized in a spreadsheet instead of simply reading all the reviews and trying to retain them. This helps you create a list of pros and cons, which can be used to improve your product, service, or experience in the future. While the internet can be a cruel place, it can also be home to fruitful review data that helps stimulate organizational growth.

Learn from scraping travel forums

In addition to all the options to book hotels and tours, Tripadvisor also hosts multiple online forums, organized by destination or theme (honeymoon trips, solo trips, family trips, etc). For example, if you click on the Paris, France forum, you’ll find tons of discussion boards about tips for using the Paris metro, the best day trips outside the city, and more. Because there are forums for every destination imaginable, travel agents can use this information to learn about the questions travelers are asking one another. You can then fill this niche by providing this information in your work so that clients don’t have to venture into online discussion boards. A travel agent who regularly sees people asking in forums for the best day trips outside Paris might decide to create their own pamphlet of day trips from Paris to give to clients in anticipation of their needs.

For forums based on theme, those in hospitality can see what destinations people consider romantic for couples versus locations that are more family friendly. Scraping these discussion boards can give you insight into what kinds of activities/destinations people value depending on the kind of trip. This makes it easier in the future for you to create suggestions for clients based on their desired outcome.

Using the Tripadvisor API

tripadvisor scrape The Tripadvisor API, which can be used by approved organizations in travel, is a great tool for embedding Tripadvisor reviews into your website. Here are other ways to use Tripadvisor data in your organization.

Shopping guides

Tripadvisor has pages dedicated to shopping guides based on destination. For stores looking to attract tourists, scraping the reviews of the stores mentioned gives insight into what travelers are looking for when shopping in that specific location. If you own a boutique in London, it is useful to know the neighborhoods tourists tend to shop in.

For travel agents, Tripadvisor data allows you to explore every possible option for your clients. Once you understand their desires, you can scrape specific keywords to get suggestions. If they want to go shoe shopping in Tokyo, you can scrape Tripadvisor for Tokyo shoe stores and reviews to find the best options to satisfy your client.

Vacation packages

For consumers, the easiest way to book vacations is through extensive packages. These allow you to book flights, accommodations, and experiences all in one at a better price. By scraping vacation package deals, you can understand what kinds of bundles consumers like the most. This is perfect for travel agents looking to develop their own bundles. By scraping and analyzing which bundles are the best rated and most affordable, you can understand what consumers are looking for when you create your own bundles.

Scraping Robot API

While there is tons of data to be collected on Tripadvisor, it can be difficult to generate useful insights when working between multiple data sets. With Scraping Robot’s API, you can scrape data from Tripadvisor and then export it directly into the analysis program of your choice. Tripadvisor data can work in communication with your own data to generate processes and software and app programming. By using an API to directly funnel data in your own processes, your own software and data projects will be more complete, efficient, and easier to observe. If you are interested in our API, check out our API module page to learn more.


conclusion tripadvisor review scraper Tripadvisor is home to tons of data related to travel, hotels, restaurants, and advice forums. Web scraping, the automatic extraction of data from a web page, is the perfect way to collect this data and analyze it to generate insights. For consumers, this data helps you plan the perfect trip, using advice in reviews to avoid common mistakes. For travel agents, Tripadvisor data informs you of what clients are looking for most from specific destinations and helps you scope out the competition. The Tripadvisor API allows agents and other hospitality sites to embed Tripadvisor reviews in their own sites. Planning your next trip or coming up with the ideal travel package for clients has never been easier thanks to Scraping Robot’s Tripadvisor scraping tool.

The information contained within this article, including information posted by official staff, guest-submitted material, message board postings, or other third-party material is presented solely for the purposes of education and furtherance of the knowledge of the reader. All trademarks used in this publication are hereby acknowledged as the property of their respective owners.