TripAdvisor is trusted by millions of travelers around the world. Founded in 2000, TripAdvisor is the world’s largest travel platform for travelers to share feedback. Travelers turn to TripAdvisor to compare hotel, flight, and restaurant prices. They access the site to book tours and popular attractions, as well as reserve tables at great restaurants. You can find their best travel destinations and restaurants around the world. Today, the site is also available in nearly 50 countries and in dozens of languages.

Why was TripAdvisor scraped?

TripAdvisor is one of the largest sources of hospitality data. Contains hotel, tour, and restaurant information, pricing data, and reviews. All of this is of great value for business intelligence such as market and competitor analysis.

Is it legal to scratch Tripadvisor?

The scraping of publicly available online data is legal. However, you still need to comply with regulations like the GDPR or the CCPA that deal with the collection of personal data. It is also important not to scratch copyrighted or private content. Read our legality blog post to learn more about how the law is on the side of web scraping.

TripAdvisor data scraping benefits

The total number of Tripadvisor user reviews of restaurants, hotels, vacation rentals, and attractions will reach one billion. If you’re in the tourism and hospitality industry, opening Tripadvisor data will help you stay ahead of the competition and make it easier to gather the information you need to make smart business decisions. Web scraping with Tripadvisor Leads Scraper is the easiest and fastest way to get this data.

With United Lead Scraper which data you can scrape from TripAdvisor?

Hotel name


Hotel phone number

Hotel email address

Image URLs

URLs of hotel websites

Number of Reviews

TripAdvisor ratings

Hotel characteristics

Reservation provider

Price per night

Number of offers available, etc

Restuarant Scraper

What are the benefits of using a United Lead Scraper?

United Lead Scraper is an easy tool to use as no coding is required. A few points and clicks on the desired hotel or restaurant data and retrieve 1000 pages of data in minutes.

TripAdvisor Reviews Scraper is the best web scraping tool at low prices as low as $40/M.

You can customize your data extraction process according to your timing Monthly, weekly, daily, etc.

Don’t worry about getting locked because it also works with IP addresses to change addresses.

You can search for a hotel by name, city, zip code, or URL.

United Lead Scraper allows you to run multiple web scrapers at the same time. It has 100+ user-friendly website extractors.

The four steps for using United Lead Scraper

Install the United Lead Scraper

Search for monitored hotel/restaurant by name or location

Scraping data

Export your data in CSV or Excel format

Step 1 (Installation).

Visit and download and install the software on your computer/laptop. After installing the software, you should choose TripAdvisor scraper software in United Lead Data Extractor as it contains web scrapers for 100+ popular websites like Facebook, Twitter and Yellow Pages, Amazon, etc. These are all user-friendly scrapers for the web. All you have to do is download it on TripAdvisor Email Scraper and start scraping data from TripAdvisor.

Step 2 (Search).

Once the website is loaded in TripAdvisor Leads Scraper, you need to enter your keywords in the search bar or toolbar. For example, type “restaurant or hotel in New York” and the data scraper will find all results from TripAdvisor. To scrape hotel or restaurant data, just click Hotel/Restaurant.

Step 3 (extraction).

Once all the hotels or restaurants are selected, start the scraper by clicking the “Start Extraction” button. You can choose to clip just an email or phone number from a hotel list. Data scraping takes a few minutes.

Step 4 (Export data).

Once you have successfully completed the TripAdvisor Hotel Data Scraper, your data will be available for download in the Scraper Dashboard. The extracted data is available for download in Excel or CSV format.

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