Scrape Hotel Amenities to Uncover Competitive Gaps in Hospitality

Introduction

This case study outlines how our advanced data solutions enabled a travel-tech client to scrape hotel amenities and analyze hotel amenities across major booking platforms. Using our custom hotel feature data extraction tools, we collected data on room types, facilities, services, and user ratings from over 10,000 hotel listings globally. This helped the client analyze hotel gaps in market by pinpointing missing amenities in key regions, uncovering underserved guest preferences, and benchmarking competitors. We also provided price vs amenity travel insights to identify properties that were either undervalued or overpriced relative to their offerings. As a result, the client optimized their portfolio strategy and improved partner onboarding decisions. This approach enabled smarter market positioning, better customer satisfaction forecasting, and stronger ROI across their property recommendations and booking features.

Our Client

The client is a fast-growing travel booking platform that focuses on optimizing the user experience through hyper-personalized hotel recommendations. As competition grew among OTAs, they sought deeper market intelligence for better decision-making. Our team provided customized Hotel Data Scraping solutions to help them access structured insights from thousands of listings. Through OTA room feature scraping, we enabled them to benchmark room attributes, understand regional trends, and improve their recommendation engine. They also needed Hotel Price & Reviews data to evaluate value propositions at scale. Leveraging our amenity-driven price analysis, the client could identify pricing inconsistencies, enhance UX personalization, and offer more transparent booking options. Our partnership provided reliable, up-to-date hotel intelligence, enabling them to stay ahead in a competitive and price-sensitive hospitality market.

Challenges in the Hotel Industry

• Hotel Price Intelligence was limited due to inconsistent price listings across different OTAs, making competitive pricing analysis unreliable.
• Their existing Travel Web Scraping Service was unable to handle dynamic websites or app-based hotel data, resulting in incomplete data.
• The lack of a robust Travel Scraping API resulted in delays in data delivery and integration with internal analytics platforms.
• They struggled to keep up with evolving Travel Data Scraping Trends, especially when hotels frequently changed amenity descriptions.
• Accessing structured hotel metadata insights from diverse sources was challenging, making it difficult to analyze features such as room types, breakfast inclusion, or cancellation policies at scale.

Our Approach

• Price Intelligence Implementation
  We built custom pipelines that delivered dynamic pricing data across OTAs, enabling the client to leverage pricing intelligence hotels and compare rate strategies in real-time for similar properties, creating a clear view of where their offerings stood competitively.
• Feature Tracking Strategy
  Our system enabled tracking of competitor room features and services, helping the client understand unique selling points through competitive feature tracking while aligning their offerings with emerging guest expectations in key travel hubs.
• Segmentation Framework
  We developed a structured classification of properties based on type, location, and customer tier, helping our client utilize hotel segmentation data to target market-specific gaps and optimize pricing based on customer preferences.
• Structured Amenity Extraction
  We extracted detailed amenity listings from OTA platforms into structured, queryable formats. This filterable amenity scraper provided the client with powerful filters to easily compare amenities across competitors and regions.
• Amenity & Rating Analysis
  By analyzing thousands of listings, we identified patterns that link amenities to property ratings.

This star-rating amenity correlation model enabled the client to identify gaps and value mismatches in competitor offerings, facilitating strategic repositioning.

Results Achieved

This case study highlights how our data solutions empowered a leading OTA client to refine their hotel strategy by uncovering overlooked opportunities through amenity-level insights, helping them align offerings with customer expectations and competitor standards across key markets.

• Improved Product Positioning
  Our insights helped the client refine their offerings based on extracted competitor amenities and pricing. Through hotel feature data extraction, they aligned services to meet unmet traveler demands and optimized room configurations accordingly.
• Refined Market Strategy
  Using price vs amenity travel insights, the client identified pricing mismatches in the market, enabling them to adjust rates or enhance offerings to match customer expectations better and improve occupancy rates.
• Better Gap Identification
  By analyzing patterns across multiple OTAs, we enabled the client to Identify Market Gaps with precision—highlighting underserved regions, feature-poor listings, and opportunities for service differentiation.
• Competitive Benchmarking
  Our tools enabled the client to analyze hotel gaps in the market, benchmark feature offerings across properties, and recognize which amenities influenced price elasticity or customer satisfaction.
• Data-Driven Decisions
  Thanks to actionable insights from amenity-driven price analysis, the client made informed changes to their digital listings, improving conversion rates and outperforming competitors in targeted travel segments.

Client's Testimonial

Conclusion

In conclusion, this case study demonstrates how our data-driven approach enabled the client to refine their offerings through precise analysis of hotel product mismatches. By leveraging custom scraping tools, we enabled the client to conduct accurate OTA hotel feature comparison , aligning room attributes with competitor benchmarks. Our ability to scrape detailed hotel specs at scale delivered valuable visibility into underserved segments, missed amenities, and pricing gaps. This strategic intelligence has now positioned the client to optimize listings, improve customer satisfaction, and gain a competitive edge in a highly dynamic hospitality market. Continuous data refinement ensures they stay responsive to evolving traveler expectations.