Scraping TripAdvisor
The video displayed below shows how WebHarvy can be configured to scrape restaurant data from TripAdvisor listings. Details like restaurant name, email, address, phone number, website and rating can be scraped for multiple listings automatically using WebHarvy. The same method can be used to scrape hotel listings as well.
What Data Can You Scrape from TripAdvisor?
TripAdvisor lists millions of hotels, restaurants and attractions around the world, along with traveler ratings, reviews and business contact details. Using WebHarvy, you can select and extract any data displayed on TripAdvisor listing pages and details pages.
Restaurant data
- 1. Restaurant name and TripAdvisor URL
- 2. Rating and number of reviews
- 3. Cuisine type and price range
- 4. Address and location
- 5. Phone number, email address and website
- 6. Ranking within the city (e.g. #5 of 1,200 restaurants)
Hotel data
- 1. Hotel name and TripAdvisor URL
- 2. Price and deals shown on the listing
- 3. Rating, number of reviews and ranking
- 4. Address, phone number and website
- 5. Amenities and room features
Traveler reviews can also be scraped. See our guide on scraping TripAdvisor reviews for details.
Why Scrape TripAdvisor Data?
Data from TripAdvisor is useful for a wide range of business and research purposes:
- 1. Lead generation - Build lists of restaurants and hotels with their phone numbers, emails and websites to market products and services to the hospitality industry.
- 2. Competitor analysis - Compare ratings, price ranges and rankings of competing hotels and restaurants in a city.
- 3. Market research - Study which cuisines, hotel categories or locations are popular in a region.
- 4. Reputation monitoring - Track how ratings and review counts change over time.
- 5. Travel and local directories - Collect structured listing data to power travel guides, apps and directories.
To learn more about how web scraping supports lead generation, see our lead generation scraper page.
WebHarvy Settings for TripAdvisor Scraping
The following values in WebHarvy settings need to be changed before attempting TripAdvisor scraping. Without these changes mining might stop after a few records or pages of data owing to TripAdvisor's anti scraping initiatives.
Open WebHarvy setting and click on Advanced Miner Options button. In the resulting window select value 1 for Maximum number of parallel mining threads.
Go to the Browser tab of Settings window and enable the Use separate browser engine for mining links option as shown below. Then Apply changes.
Since these settings are specific to TripAdvisor website, make sure that you reset settings to default values before attempting to scrape other websites.
Configuring WebHarvy for TripAdvisor Scraping
Load the TripAdvisor page from which you need to extract data within WebHarvy's configuration browser. Once the page is loaded you can start the configuration process by clicking on the Start button. Now, you can click and select each data item which you need to scrape. It is always recommended to ignore sponsored listings or ads while selecting data - select data from the first non-ad or non-sponsored listing.
During configuration, when you click on any content (text or image) within the page, WebHarvy will display a Capture window with various options. You can select data, scrape multiple pages of listings, follow each listing link etc. using options provided in this Capture window.
Scraping Multiple Pages and Listing Details
TripAdvisor search results are spread across multiple pages. Click the Next link at the bottom of the listings page during configuration and choose Set as Next Page link from the Capture window. WebHarvy will then automatically load and scrape all pages of results.
Contact details like email address, phone number and website are shown only on the details page of each restaurant or hotel. To scrape them, click on the name of the first listing and use the Follow this link option. WebHarvy will open the details page, where you can select the additional data. During mining, WebHarvy will repeat this for every listing.
To scrape restaurants or hotels from multiple cities using a single configuration, you can use keyword based scraping or add multiple listing page URLs to the configuration.
Exporting Scraped TripAdvisor Data
Once mining is complete, the scraped data can be exported to a file in CSV, Excel, JSON, XML or TSV format, or saved directly to a database like MySQL, SQL Server, Oracle or PostgreSQL. You can also use the Scheduler to run the scraper automatically at regular intervals and keep your data up to date.
Tips for Reliable TripAdvisor Scraping
- 1. Apply the WebHarvy settings shown above before you start, and reset them to default values when scraping other websites.
- 2. Select data from the first non-sponsored listing, so that ads are not used as a pattern for the rest of the page.
- 3. For large scraping jobs, consider using proxy servers to avoid being blocked.
- 4. Start with a small number of pages to test your configuration, then run the full job.
Frequently Asked Questions
Do I need to know programming to scrape TripAdvisor?
No. WebHarvy is a point-and-click web scraper. You select the data to be scraped by clicking on it within the built-in browser. No coding is required.
Can I scrape email addresses of TripAdvisor restaurants and hotels?
Yes. When a listing displays an email address on its details page, WebHarvy can extract it. See how to scrape emails from TripAdvisor for a step-by-step guide.
Can I scrape TripAdvisor reviews?
Yes. Reviewer name, review title, review text, rating and date can be scraped. Refer to our TripAdvisor reviews scraping guide.
Is it legal to scrape TripAdvisor?
Scraping publicly available data is generally permitted in many jurisdictions, but you should review TripAdvisor's terms of service and the laws applicable to you. Read our article on whether web scraping is legal for more information.
Try WebHarvy
We recommend that you download and try the evaluation version of WebHarvy and also watch the basic demonstration videos.
Download the FREE evaluation version of WebHarvy
Need Support ?
In case you need assistance in configuring WebHarvy, please do not hesitate to contact our support team (support@webharvy.com) with the details (URL of the webpage + details of the data to be scraped). We are happy to help you get started with your first data extracting project using WebHarvy !