Introduction
When we talk about travel bookings, OTAs (Online Travel Agencies) come to mind. This platform is used by millions of travelers to book travel. The increase in OTA businesses has created a strong industry battlefield where they compete relentlessly. Travel-related businesses in this situation face several difficulties, including increased cost, the potential for business failure, meeting customer expectations, and others.
If we bring data into our discussion, then it serves as a weapon that can solely drive business advantages. It is a foundation for leading the global expansion race and meeting the travel agencies’ business potential. Today, data scraping has become a necessity for OTAs to remain competitive. In this blog, we will elaborate on this further and understand how online travel agencies can stay ahead of rivals by extracting data from competitors’ websites.
What is Web Data Scraping?
Web data scraping is an automated extraction of website information. It systematically visits the targeted website’s page and efficiently collects raw data. After this, it converts this data into a structured one and into a database, CSV, or any other file.
Web data scraping requires you to follow some ethical standards, website ToS. Data from the website can be scraped using the official API, no code tools, browser extension, custom code, or commercial web scraping services. Data extraction is most commonly used in order to stay competitive and improve your business’s profit.
Why Web Scraping Matters for OTAs?
Web scraping is important for OTAs. It helps travel agencies collect and turn raw data into actionable insights. Data scraping enables you to maintain a competitive edge and improve business performance and ROI. It empowers organizations to make better decisions. Other considerable reasons why web scraping is important for OTAs are as follows:
Competitor Price Tracking
Web data scraping is very useful for online travel agencies. It helps them to monitor competitors’ prices in real time. This enables agencies to adjust the rate instantly. Tracking rivals’ prices, travel bureaus can develop dynamic pricing models to boost booking margins. Businesses associated with travel can examine prices to optimize their revenue to gain maximum profitability.
OTAs can detect price drops so that they can react before rivals. Competitor price tracking is imperative for businesses. It helps to spot surge pricing to capitalize on demand. Competitor price monitoring enables travel agents to identify discount trends to align promotional offers.
Customer Sentiment Mining
Travel businesses can scrape customer reviews to know the positive, negative, and neutral tone. By gathering customer reviews and ratings, businesses can provide customized packages to customers. Scraping data from a website provides service-related insights to identify the most common complaints.
Sentiment mining is very effective in detecting sentiment and identifying customers’ positive or negative tone. Businesses can get emerging issues alerts to respond to customers proactively. It helps to improve customer experience and plan for service updates. Extracting data from a competitor’s website provides behavioral insights to predict booking patterns and thereby optimize revenue.
Market Expansion Insights
By scraping web data, OTAs can collect market expansion insights. These insights help travel agencies to track evolving destinations and spot new travel hotspots. Travel agents can map the competitor footprint to intelligently benchmark geographic coverage. Pulling out data from a digital platform enables travel bureaus to detect underserved areas and provide opportunities to expand their target. By leveraging it, businesses can conduct traveler origin analysis to spot the source market.
Travel organizations can use the market expansion insights to map the distribution channel and strengthen local presence. It empowers firms to allocate resources smartly by prioritizing their investment strategies. Web scraping provides numerous strategic expansion advantages to stay ahead of competitors.
Customer Loyalty Retention
Scraping a rival’s website can help travel businesses track booking behavior for providing personalized future deals. It helps travel agencies to seamlessly spot loyalty drivers. This is important if these travel advisors want to enhance retention programs.
While performing real-time feedback analysis, businesses resolve issues faster. Keyword spotting helps them remain relevant to what they are offering. Airbnb, Agoda, Yelp, and TripAdvisor are widely known websites on the internet. People use them to fulfill all their travel needs. Scraping these sites empowers OTAs to improve their services and make their customers happy. Data scraping automates the feedback loop, fostering continuous improvement, which in turn builds trust.
Booking Frequency Signals
Booking frequency signals provide key data for the predictive sales cycles, allowing for better forecasting. Organizations can develop strategies to manage risk through policy insights. By performing discount elasticity, agencies can achieve optimized intensive design. Knowing how often people book provides a signal for localizing content delivery, which drives greater brand relevance.
By extracting booking data, travel agencies can essentially focus on seasonal promo parsing to ensure timely discount launches. Let’s say you, as an OTA, are scraping Expedia. Now, if this platform is offering a 10% discount on all Christmas travel packages, you could offer a similar discount beforehand.
Key Data Points to Scrape from OTAs
There are many data points that you can scrape from online platforms or OTAs. In the table below, we will discuss the most important data points among them.
Data Type | Meaning |
Hotel name for accommodation | This is the property’s official name. |
Address of Hotel | It can be a street/city/country location. |
Coordinates | These are latitude/longitude mapping. |
Types of Room | For example, standard, deluxe, suite, etc. |
Amenities available in the Room | These amenities can be Wi-Fi, AC, minibar, etc. |
Amenities available in the Hotel | These include Pool, gym, spa, and more. |
Nightly Price | This is a base room rate. |
Taxes & Fees | These are service/VAT charges. |
Discounts | These data include promotions, coupons, and deals. |
Cancellation Policy | It is the refund rules and penalties. |
Check-in Time | These are standard arrival hours. |
Check-out Time | These are standard departure hours. |
Availability | It includes open/sold-out dates. |
Guest Reviews | These are customer feedback texts. |
Review Ratings | These are numeric score values. |
Images | Photos of the Room or property. |
Star Rating | It is the official classification level. |
Nearby Attractions | These include Points of interest. |
Payment Options | These options are Credit card, PayPal, and more. |
How to Manage Compliance and Risk?
When scraping data from any website, OTAs need to manage compliance and risk to avoid degrading their brands and data breaches. In this section, we will discuss the same.
Legal Compliance
OTAs always have legal agreements between website owners and users. Failing to follow ToS leads to negative consequences. Whenever you scrape any data from a competitor’s website, you may mitigate legal risk by adhering website rules. It helps you maintain your brand reputation. Respecting site rules also ensures fairness, so legal compliance is valuable when scraping data.
Robots.txt Respect
Robots.txt is a file that every website uses to define rules on which URLs can access your website. It is mainly used to prevent website overloading. You have to first look at the URLs mentioned in this file and then start the data scraping process.
Rate Limiting
Rate limiting is also an important point to consider when extracting data from digital platforms. If you want to ensure stability in your data scraping, prevent server overload. You do not have to aggressively extract data from a competitor’s site. This will slow down the server and make it unresponsive.
Proxy Hygiene
Seamless data scraping involves fetching and using a new IP address. This essentially helps in avoiding crawler detection. Check IP reputation to maintain consistent access to data. The process of geo-location alignment helps produce accurate results.
Maintain Transparency
You have to make clear disclosure practices to build stakeholder trust. Your intention should be clear about what data you have to scrape. You should also stick to the most ethical method of scraping website data. Ensure that you do not scrape any private or copyrighted data. You have to extract data right away that is visible on the competitor’s web page.
Future Trends in OTA Data Scraping
AI Integration
Future trend of OTA Data Scraping will be toward pattern detection, which helps businesses to smartly spot evolving booking trends without any hassle. The use of an automated orchestration system will be increased to develop more accurate pricing strategies. Smart proxying will enhance the booking prediction model when data is scarce.
Image Recognition
The trend in OTA data scraping will be toward an increase in hotel imagery. This will provide higher quality scoring and boost bookings. The demand for OCR extraction will increase to verify policy compliance.
Voice Search Data
Travel advisors will use voice search with a blend of natural queries to detect user intent. Organizations will parse speech to spot booking trends. Travel companies will utilize NLP to get a summary of important extracted keywords.
Predictive Forecasting
Online travel agencies will move toward demand trend modeling. Firms will adopt a smart approach to develop more predictive systems that provide future demand signals. Anomaly detection will be boosted to identify unexpected demand spikes.
Conclusion
Web data scraping is an important aspect for OTAs in today’s era. It helps them to stay ahead of rivals. Data scraping will ultimately drive data-driven discussions and develop more sustainable businesses. It provides many significant benefits for businesses. For successful data extraction, you should be able to manage compliance and risk. The data-driven approach will increase more in the near future. Organizations should adopt more data in their travel business for evidence-based decision-making.
3i Data Scraping helps businesses improve their financial performance. It has proven experience and a portfolio to deliver accurate, customized, and structured data to help make your business successful. Contact the organization to start your data scraping journey.