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How can I extract hotel/restaurant data from TripAdvisor?

Updated: Aug 12, 2021

What Is TripAdvisor?

TripAdvisor is a place that is trusted by millions of travelers all over the world. TripAdvisor Created in 2000, it is the world’s largest travel platform where travelers could share reviews. Travelers turn to TripAdvisor to compare the prices of hotels, flights, and restaurants. They visit the site to book popular tours and attractions as well as reserve tables in great restaurants. You can find their best travel places and restaurants all over the world. Now, the website is also available in nearly 50 countries and in dozens of languages.

How to Scrape Hotels And Restaurant Data From TripAdvisor?

If you want to scrape emails, phone numbers, reviews, and much more from a TripAdvisor then you are at the right place. United Lead Extractor is now available for scraping restaurants and hotels data from TripAdvisor. It is software that can extract and transform the data from TripAdvisor into a structured format like Excel or CSV files. TripAdvisor Data Scraper is suitable for scraping hotels and restaurant reviews, emails, addresses, awards, and many more attributes on TripAdvisor. You can enter the hotel name or location or zip code in the tool to find information about a specific hotel or restaurant. To simplify things, we have divided the entire process into 3 stages.

2. Search For Targeted Place Hotels/Restaurants By Name or Location

3. Extract Data

4. Export Your Data IN CSV or Excel format

Step 1 (Installation)

Go to ahmadsoftware.com and download the software and install it on your computer/Laptop. Once you’ve installed the software, you have to select the TripAdvisor Scraper software in the United Lead Data Extractor, as it has web scrapers for more than 100 well-known websites like Facebook, Twitter, Yellow Pages, Amazon, etc. These are all ready-to-use web scrapers. You just have to click on TripAdvisor Email Scraper and start scraping data from TripAdvisor.


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Scrape Data From Hotels And Restaurants From TripAdvisor

Step 2 (Searching)

Once the website is loaded at the TripAdvisor Phone Number Scraper, you have to enter your keywords in the search bar or the tool. For example, you have to enter “restaurants or hotel in New York” and the data scraper will find all the results from TripAdvisor. To scrape the Hotel or Restaurant data, just click on hotel/Restaurant.

Step 3 (Extraction)

Once all the hotels or restaurants are selected, then start the scraper by clicking on the “Start Extraction” button. You can select either you want to scrape only an email or phone number from a Hotel listing. It will take few minutes to scrape data.

Step 4 (Export Data)

After the TripAdvisor Hotel Data Scraper is successfully finished, your data will be available for download within the Scraper Dashboard. The extracted data will be available for download in Excel or CSV format.

What Are The Benefits Of Using United Lead Extractor?

· Business Data Scraper is easy to run tool as it requires zero coding use it. Just a few points and clicks on desired hotel or restaurant data, and extract 1000 pages of data in few minutes.

· TripAdvisor Reviews Scraper is the best web scraping tool at the lowest possible rates just 25$/M.

· You can schedule your data extraction process according to your time like monthly, weekly, daily, etc.

· No worry about getting blocked, as it also works with IP addresses to change location.

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

· You can run multiple web scrapers at a time, using United Leads Extractor. It has 100+ ready-to-use website extractors for the user.

Data Fields That You Can Scrape From TripAdvisor By Using United Lead Extractor

Hotel Name

Hotel Address

Hotel Phone Number

Hotel Email Address

Hotel Address

Images URLs

Hotel Websites URL

Number of Reviews

TripAdvisor Rating

Hotel Features

Booking Provider

Price per Night

Number of Deals available, etc…

Contact With The Company:

WhatsApp Number: 03084471774

See How To Use Software:



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1 comentario


iWeb Scraping
iWeb Scraping
09 feb 2022

Actually this blog is very nice in this site very helpful content.Thanks a lot.


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