How to Scrape Travel and Hotel Data from Fliggy, Meituan, Qunar, E-Long & Ctrip?

Introduction

In today’s competitive travel industry, real-time data is essential for businesses to optimize pricing, enhance customer experience, and gain a competitive edge. Leading travel platforms like Fliggy, Meituan, Qunar, E-Long, and Ctrip provide valuable insights into hotel bookings, flights, and tourism trends.

Actowiz Solutions specializes in travel data scraping services, helping businesses extract structured data from these platforms efficiently. This guide will explore how to scrape travel and hotel data from these Chinese travel giants while ensuring compliance with regulations.

Why Scrape Travel & Hotel Data?

1. Competitive Pricing Analysis

• Track real-time hotel and flight prices across multiple platforms.
• Adjust your pricing strategy based on competitor rates.

2. Market Trends & Demand Insights

• Analyze travel trends and customer preferences.
• Identify peak travel seasons and customer booking behavior.

3. Hotel & Flight Availability Monitoring

• Get real-time updates on hotel room availability.
• Monitor flight bookings, cancellations, and delays.

4. Customer Reviews & Ratings Analysis

• Scrape guest reviews and analyze feedback for service improvements.
• Track competitors' brand reputation.

Platforms for Travel Data Scraping

1. Fliggy (飞猪 - Alibaba's Travel Platform)

Fliggy is one of the largest online travel platforms in China, offering flight bookings, hotel reservations, and vacation packages. Scraping Fliggy data helps businesses track pricing trends, promotions, and customer demand.

2. Meituan (美团 - Hotel & Travel Services)

Meituan provides services for hotel bookings, dining, and travel experiences. Extracting data from Meituan helps businesses analyze hotel occupancy rates and customer reviews.

3. Qunar (去哪儿 - Flight & Hotel Aggregator)

Qunar is a leading Chinese flight and hotel aggregator. Businesses use Qunar data scraping to track airline prices, hotel availability, and travel package deals.

4. E-Long (艺龙 - Hotel Booking Platform)

E-Long specializes in hotel reservations and provides valuable insights into hotel pricing, occupancy, and guest ratings.

5. Ctrip (携程 - China’s Largest OTA)

Ctrip (Trip.com) is the largest online travel agency (OTA) in China. Extracting Ctrip hotel and flight data helps businesses monitor competitors and adjust pricing strategies accordingly.

How to Scrape Travel & Hotel Data from These Platforms?

Step 1: Define Data Requirements

Before starting the scraping process, identify the key data points:

• Hotel data: Name, location, price, availability, ratings, reviews.
• Flight data: Airline, price, departure time, arrival time, duration.
• Customer reviews: Ratings, review text, user feedback.

Step 2: Use Web Scraping Tools & Techniques

To extract structured data, web scraping techniques such as HTML parsing, API requests, and headless browser automation can be used.

Techniques for Web Scraping

• 1. Scraping with Python & BeautifulSoup
• Extract structured HTML data from travel websites.
• Parse hotel listings, flight schedules, and price details.
• 2. Using Selenium for Dynamic Content
• Many travel platforms use JavaScript-rendered content.
• Selenium can automate browsing to extract real-time data.
• 3. API-Based Data Extraction
• Some platforms provide public APIs for travel data.
• If available, using APIs ensures fast and structured data retrieval.

Step 3: Data Cleaning & Storage

Once data is scraped, it needs cleaning, structuring, and storing for analysis.

• Use Pandas & NumPy for data processing.
• Store data in CSV, JSON, or databases like MySQL, MongoDB.

Step 4: Analyzing & Utilizing the Data

Once data is scraped, it needs cleaning, structuring, and storing for analysis.

• Use scraped data for price comparison and market insights.
• Analyze customer sentiment from reviews to improve services.

Challenges in Travel Data Scraping & Solutions

1. Anti-Scraping Mechanisms

Most travel websites use CAPTCHAs, IP blocking, and bot detection to prevent web scraping.

✅ Solution: Use rotating proxies, headless browsers, and user-agent switching to bypass restrictions.

2. Dynamic Content Loading

Some platforms use AJAX or JavaScript for content rendering.

✅ Solution: Use Selenium, Puppeteer, or Scrapy Splash for dynamic content scraping.

3. Legal & Compliance Issues

Scraping must comply with data privacy laws like GDPR and Chinese regulations.

✅ Solution: Follow ethical scraping practices and check robots.txt policies before scraping.

Why Choose Actowiz Solutions for Travel Data Scraping?

Actowiz Solutions offers custom travel data extraction services tailored for businesses looking to:

✅ Monitor hotel and flight prices in real-time.

✅ Track customer reviews & ratings for brand insights.

✅ Analyze competitor travel trends and market demand.

✅ Ensure legal compliance while extracting travel data.

Conclusion

Extracting travel and hotel data from Fliggy, Meituan, Qunar, E-Long, and Ctrip provides valuable insights for pricing, customer preferences, and competitive strategy. By leveraging Actowiz Solutions’ data scraping services, businesses can gain a data-driven advantage in the travel industry.