Extract Hotel Reviews From Goibibo & Makemytrip For Guest Insights 2025

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Introduction
The hospitality industry is increasingly reliant on online customer feedback to enhance service quality, drive bookings, and optimize hotel operations. Platforms like Goibibo and MakeMyTrip host millions of user-generated reviews that provide critical insights into guest experiences, preferences, and satisfaction levels. Businesses and analysts aiming for actionable insights can Extract Hotel Reviews from Goibibo & MakeMyTrip, which enables structured data collection across categories such as room quality, amenities, service, pricing, and overall experience.
Using the Goibibo Guest Reviews Dataset, companies can analyze trends in customer feedback, detect emerging patterns in guest preferences, and assess service performance across multiple hotel segments. Goibibo Hotel Reviews Data Analytics further allows stakeholders to evaluate sentiment, rating distribution, and identify areas for operational improvements. Similarly, MakeMyTrip hosts a comprehensive MakeMyTrip Guest Reviews Dataset, capturing diverse insights across urban and tourist destinations in India. By implementing systematic extraction ...
... processes, organizations can generate real-time datasets supporting both strategic planning and competitive benchmarking.
Importance of Hotel Review Analysis

Analyzing hotel reviews offers multiple benefits:
Customer Sentiment Understanding: Reviews reveal guest satisfaction, loyalty potential, and service gaps.
Operational Optimization: Data-driven insights allow hotels to improve staff allocation, housekeeping efficiency, and amenity offerings.
Pricing Strategy Insights: Reviews correlated with pricing provide an understanding of perceived value and price sensitivity.
Competitor Benchmarking: Extracting reviews from multiple platforms enables hotels to compare performance with competitors.
Marketing and Personalization: Positive reviews can be leveraged for promotions, while negative feedback informs service recovery strategies.
Platforms like Goibibo and MakeMyTrip allow rich granularity of feedback, including star ratings, textual comments, stay duration, room type, and traveler type. These elements form the foundation for structured method to Scrape MakeMyTrip Hotel Reviews Data initiatives, enabling deeper analysis of guest experiences.
Methodology for Hotel Review Extraction
Data extraction from hotel booking platforms requires careful planning and adherence to legal and ethical guidelines. The following steps outline a practical approach:
Target Identification: List hotels and properties across desired cities or regions.
Platform Selection: Identify source platforms such as Goibibo and MakeMyTrip.
Data Collection Tools: Utilize web scraping frameworks, automated pipelines, and APIs.
Dataset Structuring: Organize collected data into structured tables including columns for hotel name, rating, review text, date, traveler type, and room category.
Data Cleaning and Validation: Remove duplicates, standardize formats, and verify authenticity.
Analysis Preparation: Aggregate sentiment scores, calculate review frequency, and identify key trends.
Hotels and hospitality consultants increasingly rely on Hotel Data Scraping Services to automate this process, ensuring real-time and scalable insights. Additionally, hotel customer feedback Data analytics allows firms to segment reviews by category, highlighting critical operational areas for improvement.
Review Trends Across Goibibo and MakeMyTrip
Analysis of guest reviews reveals both commonalities and platform-specific trends. Goibibo reviews often emphasize price-to-value ratio and location convenience, whereas MakeMyTrip reviews highlight service quality and amenities.
Premium Hospitality Sentiment & Performance (January 2026)
The Leela Palace (4.7 Rating): Maintains its position as the leader in "Mindful Luxury." In early 2026, its sentiment is driven by EDGE Advanced sustainability certifications and bespoke wellness programs. With 1,240 reviews, it remains the benchmark for high-barrier-to-entry luxury, successfully blending traditional Indian "Palace" architecture with modern ESG (Environmental, Social, and Governance) standards.
Taj Mahal Hotel, Mumbai (4.6 Rating): Despite its age, this "Historical Gem" continues to see exceptional demand, particularly for rooms with views of the Gateway of India. Reviews in January 2026 highlight a "Jasmine-scented" sensory experience and the Taj Club's premium perks. While sentiment is overwhelmingly positive (9.2 on Booking platforms), minor friction points include "people traffic" management during peak tourist hours in South Mumbai.
ITC Grand Chola (4.5 Rating): Known as a "destination unto itself," this hotel leads in the MICE (Meetings, Incentives, Conferences, and Exhibitions) segment. Its 11 F&B outlets, including the renowned Peshawri and Avartana, are the primary drivers of its high sentiment. However, 2026 reviews suggest travelers should "plan breakfast times" carefully due to high occupancy-driven crowds at the Madras Pavilion.
Radisson Blu (4.3 Rating): Positioned as a "consistent business workhorse," this brand is seeing a 30% growth in EBITDA as of Q1 2026. Guest sentiment is anchored in staff cooperation and efficiency. While it lacks the "palace" allure, its reliability in transit hubs like Delhi and Jaipur makes it a preferred choice for the "top echelons of the corporate world."
Lemon Tree Premier (4.2 Rating): Representing the "Aspirational Mid-Scale" segment, Lemon Tree has expanded its footprint into spiritual tourism hubs (like Ayodhya and Varanasi). It maintains high sentiment for cleanliness and friendly management, with 2026 pricing strategies focusing on flexible booking and early check-in to compete with budget-premium rivals.
This table highlights that high-rated hotels consistently receive positive feedback on service and amenities. Lower-rated aspects often relate to minor operational issues or pricing concerns.
Sentiment and Review Analysis
Using Real Time hotel review comparison, analysts can monitor sentiment trends across platforms, identifying patterns in guest satisfaction. Textual analysis reveals commonly mentioned themes such as room cleanliness, staff friendliness, breakfast quality, and Wi-Fi availability. Positive sentiment clusters around aspects like luxurious amenities, location convenience, and family-friendly services, whereas negative sentiment often concerns check-in delays, pricing perception, or maintenance issues.
By leveraging hotel review extraction guide, companies can structure sentiment scoring and trend detection, enabling faster operational interventions. For example, hotels can prioritize addressing recurring complaints to improve ratings or promote positive feedback through marketing campaigns.
Pricing and Booking Trends
Extracted review datasets can be combined with pricing data to correlate guest perception with cost. Hotel Room Price Trends Dataset allows analysts to determine whether higher prices correspond with higher satisfaction or if certain amenities justify premium pricing.
2026 Pricing vs. Satisfaction Index
The "Value for Money" perception in 2026 is no longer about the lowest price, but the quality of experience. Travelers are showing a high "willingness-to-pay" for heritage, sustainability, and personalized service.
The Leela Palace (The Premium Leader): With a current ADR reaching ₹27,000–₹55,000 (inclusive of taxes for Premiere rooms), it has successfully translated its 4.7 guest rating into the highest pricing power in the set. Its "Palace Art Walks" and BMW airport transfers are key drivers that justify this 2x price jump over 2025 averages.
Taj Mahal Hotel (The Heritage Choice): Currently priced at ₹25,000–₹32,000, the Taj benefits from its "Taj Club" loyalty and iconic status. Guests in 2026 are specifically praising the "immersion and storytelling" of the property, which supports its 4.6 satisfaction score despite the rising costs.
ITC Grand Chola (The Service Benchmark): Maintaining a 4.5 rating, this property is currently seen as a "Luxury Value" pick with rates around ₹14,000–₹19,000. Its commitment to LEED Platinum sustainability and world-class F&B (like Avartana) remains its core competitive edge.
Radisson Blu (The Mid-Market Workhorse): Pricing has stabilized around ₹12,000. While it has lower luxury ratings (4.3), it captures high booking volumes from corporate travelers who prioritize "predictability and utility" over heritage.
Lemon Tree Premier (The Volume Driver): At ₹8,200–₹9,500, it remains the entry point for branded luxury. Its strategy for 2026 focuses on "Spiritual and Regional Tourism," where it captures the highest volume of first-time branded hotel users.
Analysis shows that while premium hotels maintain high satisfaction levels, mid-range hotels must balance pricing and service quality to maintain competitiveness.
Applications of Hotel Review Extraction
Extracted review data supports multiple operational and strategic applications:
Service Enhancement: Identify recurring complaints for staff training and operational improvements.
Marketing Optimization: Highlight strengths in promotional campaigns to attract target audiences.
Competitive Benchmarking: Compare ratings and feedback across multiple platforms to identify competitive advantages.
Revenue Management: Align pricing strategies with perceived value to maximize profitability.
Trend Forecasting: Predict seasonal or event-driven spikes in hotel demand using review and booking data.
Automation and API-based monitoring streamline the extraction of large volumes of data. Continuous updates enable hotels to respond to trends quickly, maintaining a positive guest experience.
Conclusion
In today’s hospitality landscape, leveraging data from guest reviews is essential for operational efficiency and market intelligence. Integrating Hotel Data Intelligence allows hotels to monitor sentiment, detect emerging issues, and benchmark performance across platforms. Coupled with insights by Web Scraping hotel customer feedback, organizations can align pricing strategies with customer expectations. By systematically analyzing Goibibo and MakeMyTrip datasets, hotels gain a holistic view of performance, enabling smarter promotional campaigns, better inventory allocation, and improved guest satisfaction. Advanced analytics derived from real-time and historical datasets ensure that hotels remain competitive, responsive, and aligned with evolving consumer preferences, ultimately driving revenue growth and long-term sustainability.
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Source : https://www.travelscrape.com/hotel-reviews-goibibo-makemytrip-guest-insights.php

Originally published at https://www.travelscrape.com.

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