9.5 trillion U.S dollars
Yes, you read it right: a trillion, with 12 zeros. That’s the contribution of travel and tourism to the global GDP in 2023.
The reason for quoting this figure is that the travel industry is huge and constantly evolving.
Making data-driven decisions is crucial to stay ahead of the competition.
Using web scraping techniques will make it easier to take a closer look at your competition, understand their pricing, and identify and bid on the right money keywords.
There is so much more to data scraping than this.
Next, let’s clarify the future of AI-based Scraping Technologies for travel industries.
Future Of The Travel Industry Using Ai-Based Scraping Technologies
The future of the travel industry can be at its peak in the upcoming ten years. It depends on the complete implications of AI technology, as it can bring flight services within the control of human airline engineers.
The Amadeus Foundation reports very practical experience and data on the scraping of facts, which ensures that unique and memorable customer experiences can be added to trips.
Further, it dives into the area of AI-based user-engaging testing experiences and captures data in a personalized manner to solve the pain points of travelers in advance. This approach is new to every upcoming customer who is a first-time traveler and will have this experience.
If you are new to the travel industry journey, you can remove your illusion and have the pleasure of this first-hand traveling experience with our detailed guide.
Let’s discover the meaning of Travel App Scraping in the travel and tourism industry. Without applying complex technical skills.
What is Data Scraping in the Travel and Tourism Industry?
Travel Data Scraping is analyzing and retrieving data about the travel industry at ease within a short span of time. This data helps to increase the business efficiency of tasks in the travel and hospitality industry. This overall technique takes the assistance of specific tools and technologies that generate information on travel industry-oriented data in a more organized form.
The following are the core benefits of Scraping Travel Data for businesses.
- Helps you monitor your travel industry competitors
- Optimize your pricing strategy
- Compare different airline pricing
- Allows you to comprehend market trends
- Analyze preferences and patterns within the travel industry
How do You Scrape Real-Time Data from The Travel Website?
The following are two ways to stay ahead of the competition while scraping real-time data from tours and travel websites.
- Gather data on popular hotels and restaurants using Google Search Automation.
Get the latest information about your competitors using Google Search Automation. Imagine owning a hotel in New York City; it is our dream. Now, to collect well-known hotels in New York City, add “New York City Hotel” or select the country.
Specify the number of websites you want the tool to scrape for you. After completing the automation, you will have a list of websites with URLs, titles, cache URLs, and search types.
Enough with the theory to scrape real-time data. You can scrape real-time data with Python.
The following is the code you can use
- Phone number scraping of your collected web pages
Communication is the key. You need a mobile number to talk to the client to close the deal. With tools like Scrapy, extracting hundreds of phone numbers in real-time will be easier.
| Tool Name | Description |
| Scrapy | Open-source web crawler and collaborative web scraping tool |
| ScrapeBox | Allows you to scrape thousands of phone numbers in a few minutes. |
Key Advantages Data Scraping Offers
To maintain a competitive edge, web scraping tools provide travel intelligence by analyzing customer ratings and offering personalized recommendations. The following are the key advantages that data scraping offers:
1. Real-Time Updates for Online Travel Aggregators
Web scraping tools help capture real-time travel data information on flights, buses, accommodations, prices, and availability. This provides users with up-to-date information, making it easier to choose the right option.
2. Cost Monitoring and Optimization
Cost-saving is a fundamental aspect of the travel business. Data scraping permits online travel aggregators to monitor and optimize costs according to the extracted data. This allows users the saving potential, ensuring competitive pricing in the market.
3. Enhancing User Experience with Travel Intelligence
Another important aspect is that online travel aggregators can analyze customer reviews and ratings. This information allows them to understand users’ preferences, ultimately increasing customer satisfaction and loyalty.
What are the Uses of Web Scraping in the Travel Industry?
As it is mentioned from the statistics that the travel industry supplies the highest in GDP worldwide, the industry takes some possible advantage of data scraping. The main motto is to grow marketing strategies to satisfy customers.
Various sources like social media or those available on hotels, airlines, and other search engine platforms support the travel industry in doing better scrapping advantages.
Some of the ways this industry takes advantage of these types of smart data are as follows:
- Customer Engagement:
The travel industry uses travel apps scraping from online advertising search engines and customers’ reviews from social media platforms to stay ahead in market competition compared to other travel operators or tour agents.
This kind of advantage of gaining customer loyalty is one such advantage that the travel industry achieves to improve customer experience.
- Market Analysis:
This is another advantage that the travel industry is doing by data scraping from results they find from search engines. They try to introduce new offers and benefits for similar customers whose reviews one travel company finds from other travel companies’ Google reviews or social media feedback.
- Competitor Analysis:
To stay ahead, you must monitor what your competitors are doing. Travel businesses often check their competitors’ activities and adapt accordingly. Analyzing competitors’ strengths and weaknesses will permit you to adjust your strategies accordingly.
- Revenue and Pricing Management:
Most travel websites consistently follow a pattern to check pricing on different platforms. This helps strategize pricing and revenue. By consistently performing proper research, you will have a higher chance of maximizing your revenue.
- Destination Popularity:
Travel agencies are always in search of popular travel destinations. Why? Because the majority of travelers will stay there. Therefore, this information becomes crucial for hotels, tour operators, and travel agencies to adjust their promotions and offerings accordingly.
- Other Benefits of Data Scraping in the Travel Industry:
You can find a suitable travel aggregator, the key web platform that offers the listed benefits and options of the affordable price range for any flight and hotel bookings in advance for tourists. For example, Trivago is an aggregator that provides every required information at a competitive cost for any standard-level customer.
- Web Crawling
Unlike Python, this crawling application collects travel data from various hotel websites in real time. It mainly connects with customers’ choices and demands from any hotel, from its prices to quality services. This also understands the true value of your pain points and improves it by joining several algorithms. For example, Google Bot is one such, which runs its application in a C++ and Python combination format.
You can also browse the search engines of travel agencies like Expedia or TripAdvisor, which dynamically run the above-named applications. It can also be available on travel companies’ social media pages.
A Few of Them Include:
- Analysis of Travel and Tourism Trends
- Checking the Updates of Flights, Destinations, Durations
- Seats Available
- Volume of Sales During the Off-season
- Customer’s Following Data
Which are the Useful Data to Scrape from Travel Websites?
Searching for the right data is simple; even travelers produce data about holidays on different websites and social media.
According to PRNewswire, people make travel decisions and pick a hotel based on online reviews. Trusted and accurate reviews are likely to make a positive impact.
Your online activities and preferences also get noticed while making travel decisions. Therefore, to help you save time, we have listed the most important travel data you can scrape to increase conversions.
- Hotel Listing
To gather data about room pricing, availability of rooms during each season, and other promotional features, agencies can gather data during the seasons of winter and summer. Most hotels give out special discounts based on the winter and summer seasons, this will increase customer engagement and booking as well.
The following are some of the highest-ranked hotel listing websites customers trust.
Orbitz has a 37th trust score in terms of customer satisfaction ratio.
Trivago has its 45th rank, where issues of room rents and quality did not match.
Tripadvisor gets 97th rank in trust, which is a good score, with fewer complaints, and some had no complaints.
- Location Data
Websites like Expedia, Priceline, and Booking.com share location-based travel data and suggest new hotels and rentals in a location.
- Feedback Data
Some of the highest-ranked hotel websites, such as TripAdvisor, Expedia, and Yelp, rely on client feedback data and give the hotel website a ranking easily. This helps new tourists to choose the best hotel in their preferred location. Apart from that, these websites provide info such as who visits the hotel and whether it is family-friendly or not so that people can get the idea of whether to sign or not.
Travel Data
The following information falls under travel data criteria.
- Airline fares and data
- Reviews of hotels and their pricing range
- Rental data of vacations
- Timestamps
Technologies:
- Machine Learning
This technology gives relevant, raw, and reliable data for web scraping in the travel industry. For example, suppose you need any information on a travel industry job. In that case, you can find the job location, job description, remuneration, and related skills required to get the service.
- Python
This application is run by OTA (online travel agency) Expedia systematically by installing and setting it up for testing and gathering facts, figures, and reviews on particular hotels of interest. You can find the programming performance of this application in the URL of the travel agency’s website.
Conclusion
In this blog, we have discussed the future of the travel industry using AI-based scraping technologies. We have also explored the meaning and objectives of data scraping in the travel and tourism industry, followed by the method of scraping real-time data from travel websites.
However, scraping data might be daunting at times. Therefore, our team at X-Byte Enterprise Crawling is here to help you execute leads from your target market. We have a team of 50+ professional web scraping experts who successfully manage multiple clients and execute scraping tasks exceptionally well.
