Currently, the traveling rules are changing with the COVID cases curve. Because of the Delta variant, cases are increasing. As we are writing this blog, the EU is thinking about reemploying the travel restrictions for U.S. visitors.
Anyways, we have created our Tripadvisor data scraper with X-Byte and extracted the destination information, which is open to U.S. citizens as you should always be prepared for the refreshing trip!
Note: In case, you want to visit these countries, it’s better to check if quarantine or vaccination is required.
Web scraping is certainly the finest way to assist us in pulling down web data so we could use it and get the maximum value out of that. We would be showing how this helps in getting the traveling data.
Extracting Travel Data
Do you get any idea regarding Big Data in tourism?
Businesspersons in the traveling industry are following all types of data, for instance, business data of traveling agents as well as visitors’ behavioral data available on different travel-associated platforms. They might know your travel habits much better than you. The entire industry is leveraging big data to launch the right products and get the right kind of people to pay for the services.
Web data scraping is a technology that makes it possible.
A traveler needs to scrape travel data to serve all his requirements, get destinations amongst the most beautiful, and get guides from Tripadvisor for reference.
What Will We Go to Do?
Initially, we require a listing of countries for looking into it.
Then, we will utilize a web scraping tool from X-Byte to create a Tripadvisor scraper as well as crawl countries’ travel data.
Last but not least, we will head towards the destination that best suits our traveling taste!
Where Can an American Guy Go?
Therefore, where can any American guy go for traveling now?
This blog has listed different destinations which are open for the U.S. (a list could be updated now).
We desired to pull all country names given on the webpage down in the spreadsheet so that we could paste them in X-Byte to find more specific data from Tripadvisor.
X-Byte can easily find list information given on the web page to CSV or excel.
It is extremely useful if you wish to get the listing of URLs or the listing of data that you wish to paste as well as search on the other platform, or import that into some data analytics software to do analysis.
Now, as we have the text listing of destinations, we will create a TripAdvisor scraper for getting particular data about the places.
Create a TripAdvisor Scraper
The data we will scrape from Tripadvisor:
We wish to check the travel popularity of the countries. We will check with several reviews regarding a country on Tripadvisor.
We have my traveling theme. We will get tag information about these destinations so that we can filter as well as niche down to perfect places where we can pursue the wind, play on a beach or gain the splendor of the peak.
We will save the URLs of the travel guides on Tripadvisor to do more travel planning.
Batch Generating URLs Using Country Names
From where to find this data? Here is a sample page called: Tripadvisor Nepal.
Using the listing of country names we have extracted in previous steps, we could batch produce all the Tripadvisor country pages using X-Byte.
Now as we have the list of targeted web pages for scraping data from, we are going to create a scraper, which knows what data we are looking for as well as will get that for me.
Creating a Scraper: Tell Me What You Want
Creating a scraper is like writing a letter for talking with a computer — tell that where as well as how to find the required. You don’t need to talk in human languages and talk in programming languages.
Any web scraping tool works like a translator. This allows you to collect letters using the human language, because of comprehensible workflow as well as intuitive UI.
In case, you still have doubts, let’s go through some questions.
What a Web Scraper Can Do?
- Visit: Open the web page.
- Click: Just click on a link given on a web page.
- Scrape: Crawl data like URLs, numbers, texts, etc.
What Type of Data Do I Require?
- The country’s name and total reviews.
- The traveling guide link, a guide title, and tags for it.
How a Scraper Should Work to Have the Needed Data?
- Visit a web page
- Scrape a country name as well as total reviews on a page
- Get the traveling guide link as well as click it
- Scrape a page URL, a guide title, and guide tags
- Go back as well as visit the next webpage
- Just repeat the given steps (In X-Byte, it could be done using a loop)
- Bingo. This is the workflow we have built there.
How to Create a Workflow?
- Easy work.
- Enter URLs in a search bar as well as start a creating task. (Tell a scraper that web pages will visit)
- Just click data you wish on an in-built browser. (Assist the scraper in locating data)
- Choose the actions you need a scraper to make on a Tips Panel. (Inform the data scraper to visit, click, or scrape data)
How Will the Data Look Like?
This is a long-size table because there are more than 100 lines of data given on the list. The below screenshot will help you understand it better.
We know that raw data is not good before any visualizations still it is useful. Using this data, we have found the finest option for the foodies plus beach lovers — Spain!
In case of any problems, just contact X-Byte Enterprise Crawling and we are already ready to help!
