9 datasets found
  1. d

    DATAANT | Travel Data | Dataset, API | Booking and Pricing Data: Hotel...

    • datarade.ai
    Updated Dec 12, 2022
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    Dataant (2022). DATAANT | Travel Data | Dataset, API | Booking and Pricing Data: Hotel Websites, Flight Aggregators and Rental Aggregators | Global Coverage [Dataset]. https://datarade.ai/data-products/dataant-travel-data-dataset-api-booking-and-pricing-da-dataant
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Dec 12, 2022
    Dataset authored and provided by
    Dataant
    Area covered
    Norfolk Island, Svalbard and Jan Mayen, Bulgaria, Luxembourg, Dominican Republic, Vietnam, Kyrgyzstan, Honduras, Saint Barthélemy, Greece
    Description

    DATAANT provides the ability to extract travel data from public sources like: - Hotel websites - Flight aggregators - Homestay marketplaces - Experience marketplaces - Online Travel Agencies (OTA) and any open travel industry website you need.

    Forecast travel trends with Booking.com, Airbnb, and travel aggregators data.

    We support providing both raw and structured data with various delivery methods.

    Get the competitive advantage of hospitality and travel Intelligence by scheduled data extractions and receive your data right to your inbox.

  2. h

    atl-intl-flight-data-sql-db

    • huggingface.co
    Updated May 28, 2025
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    Ekansh Gupta (2025). atl-intl-flight-data-sql-db [Dataset]. https://huggingface.co/datasets/egupta/atl-intl-flight-data-sql-db
    Explore at:
    Dataset updated
    May 28, 2025
    Authors
    Ekansh Gupta
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    International Round-Trip Flight Prices Dataset (SQLite)

    This project collects international round-trip flight pricing data over a defined date range and duration from Atlanta (ATL) to 9 international destinations. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-intl-flight-data-sql-db.

  3. Aviation Industry Data | Airlines, Aviation & Aerospace Professionals...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Aviation Industry Data | Airlines, Aviation & Aerospace Professionals Worldwide | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/aviation-industry-data-airlines-aviation-aerospace-profe-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Macao, Greece, Lesotho, Fiji, Micronesia (Federated States of), France, Libya, Bulgaria, Saint Vincent and the Grenadines, Bouvet Island
    Description

    Success.ai’s Aviation Data provides verified access to professionals across the airlines, aviation, and aerospace industries. Leveraging over 700 million LinkedIn profiles, this dataset delivers actionable insights, contact details, and firmographic data for pilots, engineers, airline executives, aerospace manufacturers, and more. Whether your goal is to market aviation technology, recruit aerospace specialists, or analyze industry trends, Success.ai ensures your outreach is powered by accurate, enriched, and continuously updated data.

    Why Choose Success.ai’s Aviation Data? Comprehensive Professional Profiles

    Access verified LinkedIn profiles of pilots, engineers, flight operations managers, safety specialists, and aviation executives. AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency. Global Coverage Across Aviation and Aerospace Sectors

    Includes professionals from airlines, airport authorities, aerospace manufacturers, and aviation technology providers. Covers key regions such as North America, Europe, APAC, South America, and the Middle East. Continuously Updated Dataset

    Real-time updates reflect changes in roles, organizational affiliations, and professional achievements, ensuring relevant targeting. Tailored for Aviation and Aerospace Insights

    Enriched profiles include work histories, areas of specialization, professional certifications, and firmographic data. Data Highlights: 700M+ Verified LinkedIn Profiles: Access a vast network of aviation and aerospace professionals worldwide. 100M+ Work Emails: Communicate directly with pilots, engineers, and airline executives. Enriched Professional Histories: Gain insights into career paths, certifications, and organizational roles. Industry-Specific Segmentation: Target professionals in commercial aviation, aerospace R&D, airport management, and more with precision filters. Key Features of the Dataset: Aviation and Aerospace Professional Profiles

    Identify and connect with airline CEOs, aerospace engineers, maintenance technicians, flight safety experts, and other key professionals. Engage with individuals responsible for operational decisions, technology adoption, and aviation safety protocols. Detailed Firmographic Data

    Leverage insights into company sizes, fleet compositions, geographic operations, and market focus. Align outreach to match specific industry needs and organizational scales. Advanced Filters for Precision Targeting

    Refine searches by region, job role, certifications (e.g., FAA, EASA), or years of experience for tailored outreach. Customize campaigns to address unique aviation challenges such as sustainability, fleet modernization, or safety compliance. AI-Driven Enrichment

    Enhanced datasets provide actionable insights for personalized campaigns, highlighting certifications, achievements, and career milestones. Strategic Use Cases: Marketing Aviation Products and Services

    Promote aviation technology, flight operations software, or aerospace equipment to airline operators and engineers. Engage with professionals responsible for procurement, fleet management, and airport operations. Recruitment and Talent Acquisition

    Target HR professionals and aerospace manufacturers seeking pilots, engineers, and aviation specialists. Simplify hiring for roles requiring advanced technical expertise or certifications. Collaboration and Partnerships

    Identify aerospace manufacturers, airlines, or airport authorities for joint ventures, technology development, or service agreements. Build partnerships with key players driving innovation and safety in aviation. Market Research and Industry Analysis

    Analyze trends in airline operations, aerospace manufacturing, and aviation technology to inform strategy. Use insights to refine product development and marketing efforts tailored to the aviation industry. Why Choose Success.ai? Best Price Guarantee

    Access high-quality Aviation Data at unmatched pricing, ensuring cost-effective campaigns and strategies. Seamless Integration

    Easily integrate verified aviation data into CRMs, recruitment platforms, or marketing systems using APIs or downloadable formats. AI-Validated Accuracy

    Depend on 99% accurate data to minimize wasted efforts and maximize engagement with aviation professionals. Customizable Solutions

    Tailor datasets to specific aviation sectors, geographic regions, or professional roles to meet your strategic objectives. Strategic APIs for Enhanced Campaigns: Data Enrichment API

    Enhance existing records with verified aviation profiles to refine targeting and engagement. Lead Generation API

    Automate lead generation for a consistent pipeline of qualified professionals in the aviation sector, scaling your outreach efficiently. Success.ai’s Aviation Data empowers you to connect with the leaders and innovators shaping the aviation and aerospace industries. With verified conta...

  4. h

    atl-dom-flight-data-sql-db

    • huggingface.co
    Updated Aug 9, 2024
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    Ekansh Gupta (2024). atl-dom-flight-data-sql-db [Dataset]. https://huggingface.co/datasets/egupta/atl-dom-flight-data-sql-db
    Explore at:
    Dataset updated
    Aug 9, 2024
    Authors
    Ekansh Gupta
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Domestic One-Way Flight Prices Dataset (SQLite)

    This project collects domestic one-way flight pricing data over a defined date range and duration from Atlanta (ATL) to 10 US cities. It saves this structured flight information to a SQLite database and enables flexible downstream querying and visualization. Each entry represents a real flight quote retrieved from a travel search API under fixed conditions. The data is structured, time-stamped, and ready for time-series, pricing trend… See the full description on the dataset page: https://huggingface.co/datasets/egupta/atl-dom-flight-data-sql-db.

  5. F

    Flight Search Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 21, 2025
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    Market Research Forecast (2025). Flight Search Software Report [Dataset]. https://www.marketresearchforecast.com/reports/flight-search-software-44829
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The flight search software market is experiencing robust growth, driven by the increasing adoption of online travel booking platforms and a surge in air travel globally. The market's expansion is fueled by several key factors. Firstly, the increasing penetration of smartphones and internet access, particularly in emerging economies, is leading to a substantial rise in online flight bookings. Secondly, the constant innovation in flight search technologies, including AI-powered personalized recommendations and advanced fare prediction algorithms, is enhancing user experience and driving market adoption. Thirdly, the growing preference for seamless and convenient booking experiences is pushing both airlines and online travel agencies (OTAs) to invest heavily in sophisticated flight search software. Competition amongst OTAs is also a significant factor, leading to continuous improvement and feature enhancements in their software offerings. The market is segmented by deployment type (cloud-based and on-premise) and user type (private and commercial). Cloud-based solutions are witnessing rapid growth due to their scalability and cost-effectiveness. Commercial users, encompassing airlines and OTAs, dominate the market share, driven by their need for comprehensive flight data and booking management capabilities. While the on-premise segment still holds a significant share, it's projected to witness slower growth compared to cloud-based solutions in the coming years. Geographic distribution shows robust growth across North America and Europe, attributed to high internet penetration and established online travel markets. However, growth in Asia-Pacific is expected to be particularly significant in the forecast period due to increasing disposable incomes and rising air travel demand in countries like India and China. Challenges include maintaining data accuracy, ensuring data security, and adapting to constantly evolving airline pricing and scheduling practices. The forecast period (2025-2033) anticipates continued market expansion, with a projected CAGR (Compound Annual Growth Rate) of approximately 12%, a figure derived from considering the historical growth trends and current market dynamics. This growth is expected to be fueled by ongoing technological advancements, increasing competition, and a sustained rise in global air travel. While regulatory hurdles and data privacy concerns pose potential restraints, the overall trajectory points towards a consistently expanding market for flight search software. The major players listed (Google, Momondo, Fareportal, TripAdvisor, etc.) are expected to continue their dominance, but smaller, innovative companies could disrupt the market with specialized niche solutions or disruptive technology. Growth will likely be most pronounced in areas with rising internet and mobile penetration and expanding middle classes.

  6. Dynamic Pricing Ticketing API Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). Dynamic Pricing Ticketing API Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/dynamic-pricing-ticketing-api-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Dynamic Pricing Ticketing API Market Outlook




    According to our latest research, the global Dynamic Pricing Ticketing API market size reached USD 1.42 billion in 2024, with a robust compound annual growth rate (CAGR) of 16.8% projected through 2033. By the end of 2033, the market is expected to reach USD 6.03 billion, driven by the increasing adoption of AI-driven pricing models, surging demand for real-time ticketing solutions, and the expanding digitalization across the sports, entertainment, and transportation sectors. The market’s impressive growth trajectory is underpinned by the need for maximizing revenue and enhancing customer experience through personalized pricing strategies, as revealed in our latest research.




    The growth of the Dynamic Pricing Ticketing API market is primarily fueled by the ongoing digital transformation in the ticketing industry, where organizations are shifting toward automated, data-driven solutions to optimize pricing in real time. The proliferation of internet connectivity and mobile devices has made online ticket booking ubiquitous, leading to an explosion in data that can be leveraged for dynamic pricing. As event organizers, airlines, and transportation providers seek to maximize their revenue and fill capacity, dynamic pricing APIs allow them to adjust prices based on demand fluctuations, competitor pricing, and customer behavior. This capability not only improves profitability but also provides a more personalized customer experience, which is increasingly valued in today’s competitive landscape. Furthermore, the integration of advanced analytics and machine learning algorithms into these APIs enables more accurate forecasting and pricing decisions, further bolstering market growth.




    Another significant factor contributing to the expansion of the Dynamic Pricing Ticketing API market is the rising complexity of ticketing scenarios across various industries. In sectors such as sports, entertainment, and travel, demand patterns are highly volatile and influenced by numerous variables, including seasonality, special events, and socio-economic factors. Traditional static pricing models are no longer sufficient to capture the full revenue potential in these environments. Dynamic pricing APIs, powered by real-time data and sophisticated algorithms, empower ticket sellers to respond instantly to market changes, optimize seat allocation, and offer targeted promotions. This agility is particularly crucial in the post-pandemic era, where consumer preferences and behaviors have become more unpredictable, necessitating flexible and responsive pricing strategies.




    The increasing collaboration between ticketing platforms, event organizers, and technology providers is further stimulating the adoption of dynamic pricing APIs. As the ecosystem matures, stakeholders are recognizing the value of integrated solutions that streamline pricing, booking, and inventory management processes. APIs facilitate seamless connectivity between disparate systems, enabling organizations to automate workflows and enhance operational efficiency. Additionally, the growing emphasis on customer-centricity is prompting ticket sellers to leverage dynamic pricing as a tool for delivering tailored offers and incentives, thereby fostering loyalty and repeat business. As regulatory frameworks around pricing transparency and consumer protection evolve, API providers are also focusing on ensuring compliance and building trust with end users, which is expected to drive sustained market growth.




    From a regional perspective, North America currently dominates the Dynamic Pricing Ticketing API market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The region’s leadership is attributed to the high concentration of technology innovators, early adoption of digital ticketing solutions, and the presence of major sports leagues, entertainment venues, and airlines. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, a burgeoning middle class, and increasing investments in digital infrastructure. As emerging markets in Latin America and the Middle East & Africa continue to embrace digitalization, the global landscape is expected to become more diversified, presenting new opportunities and challenges for market participants.



  7. Dynamic Pricing Ticketing API Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Dynamic Pricing Ticketing API Market Research Report 2033 [Dataset]. https://dataintelo.com/report/dynamic-pricing-ticketing-api-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Dynamic Pricing Ticketing API Market Outlook



    According to our latest research, the global Dynamic Pricing Ticketing API market size reached USD 1.38 billion in 2024, driven by the rapid adoption of automated pricing solutions across ticketing platforms. The market is poised for robust expansion, with a projected CAGR of 17.2% from 2025 to 2033. By the end of 2033, the global market is forecasted to attain a value of USD 5.08 billion. This surge is primarily attributed to the growing demand for real-time pricing optimization, digital transformation across industries, and the need for enhanced customer experience in ticketing operations.




    One of the primary growth factors fueling the Dynamic Pricing Ticketing API market is the increasing digitization of the ticketing ecosystem across various sectors, including sports, entertainment, transportation, and hospitality. As businesses strive to maximize revenue and improve customer satisfaction, they are rapidly adopting dynamic pricing APIs that offer real-time price adjustments based on demand, availability, and external factors. This shift from static to dynamic pricing models is enabling organizations to respond swiftly to market changes, optimize occupancy rates, and boost profitability. The integration of advanced analytics and artificial intelligence into ticketing APIs is further enhancing their capability to forecast demand patterns and set optimal prices, making these solutions indispensable for modern ticketing platforms.




    Another significant driver is the proliferation of cloud-based deployment models, which offer scalability, flexibility, and cost-efficiency. Cloud-based Dynamic Pricing Ticketing APIs enable organizations of all sizes, from large enterprises to SMEs, to access sophisticated pricing tools without the need for substantial upfront investments in IT infrastructure. This democratization of advanced pricing technology is opening new opportunities for smaller players to compete with established enterprises, fostering innovation and market expansion. Furthermore, the rise of mobile ticketing and the increasing use of smartphones for purchasing tickets are accelerating the adoption of API-driven pricing solutions, as consumers demand seamless and personalized experiences.




    The expanding application scope of Dynamic Pricing Ticketing APIs across diverse industries is also a key growth catalyst. In the airline and railway sectors, these APIs are revolutionizing fare management by enabling operators to adjust prices dynamically based on seat availability, booking windows, and competitor pricing. Similarly, in the sports, entertainment, and events industries, dynamic pricing is helping organizers maximize attendance and revenue by aligning ticket prices with real-time demand fluctuations. The hospitality sector is leveraging these APIs to optimize room rates and package deals, further driving market growth. The ability of Dynamic Pricing Ticketing APIs to integrate with existing ticketing systems and distribution channels is making them highly attractive to a broad spectrum of end-users.




    Regionally, North America continues to dominate the Dynamic Pricing Ticketing API market, accounting for the largest revenue share in 2024. The region’s leadership is underpinned by the high concentration of technology providers, early adoption of digital solutions, and a mature entertainment and travel industry. However, Asia Pacific is emerging as the fastest-growing region, propelled by rapid urbanization, increasing internet penetration, and the burgeoning middle class with rising disposable incomes. Europe also holds a significant share, driven by strong demand in the airline, railway, and hospitality sectors. Latin America and the Middle East & Africa are witnessing steady growth, supported by ongoing digital transformation initiatives and investments in smart infrastructure.



    Component Analysis



    The Component segment of the Dynamic Pricing Ticketing API market is bifurcated into Software and Services, each playing a vital role in the industry’s value chain. Software solutions form the backbone of dynamic pricing strategies, providing the algorithms and analytics engines required for real-time price optimization. These software platforms are designed to integrate seamlessly with existing ticketing systems, leveraging big data, machine learning, and artificial intelligence to analyze demand drivers and set optimal prices. The continuous evolution of softwa

  8. Data from: Changing air density affects flight costs in low-flying birds

    • zenodo.org
    txt
    Updated Nov 8, 2023
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    Emily Shepard; Emily Shepard; Baptiste Garde; Baptiste Garde; Krishnamoorthy Krishnan; Krishnamoorthy Krishnan; Adam Fell; Adam Fell; Vikash Vikash; Vikash Vikash; Carl G. Jones; Nik Cole; Nik Cole; Emmanouil Lempidakis; Emmanouil Lempidakis; Carl G. Jones (2023). Changing air density affects flight costs in low-flying birds [Dataset]. http://doi.org/10.5281/zenodo.10081281
    Explore at:
    txtAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Emily Shepard; Emily Shepard; Baptiste Garde; Baptiste Garde; Krishnamoorthy Krishnan; Krishnamoorthy Krishnan; Adam Fell; Adam Fell; Vikash Vikash; Vikash Vikash; Carl G. Jones; Nik Cole; Nik Cole; Emmanouil Lempidakis; Emmanouil Lempidakis; Carl G. Jones
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 10, 2023
    Description

    Data and code supporting the findings of the study:

    For details about the attributes in the data files please see the "README.txt" file.

    Code included in the study:

    The R script:
    "Shepard et al_Changing_air_density_affects_flight_costs_in_low_flying birds.R" is used to run the statistical tests and models presented in the study.

    The R script: "Shepard et al_density matters at sea level_script_DensityAltitudeEstimation.R" , is used to estimate Density altitude based on the air density over the ocean downloaded from the ERA5 monthly means global re-analysis. For details please see the supplementary information of the study.

  9. Online Travel Booking Platform Market Analysis, Size, and Forecast...

    • technavio.com
    Updated Feb 15, 2025
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    Technavio (2025). Online Travel Booking Platform Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/online-travel-booking-platform-market-industry-size-analysis
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, Italy, South Korea, Japan, Germany, United States, France, Global
    Description

    Snapshot img

    Online Travel Booking Platform Market Size 2025-2029

    The online travel booking platform market size is forecast to increase by USD 2266.6 billion, at a CAGR of 20.6% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing use of the internet and smartphones for travel planning and booking. This digital shift is facilitated by the widespread adoption of online payment platforms, enabling seamless transactions and enhancing user convenience. However, the market is not without challenges. Disruptions in travel demand, such as those caused by geopolitical instability or health crises, pose a threat to market growth. Companies must remain agile and adapt to these uncertainties by diversifying their offerings and exploring new markets. Additionally, maintaining strong customer relationships through personalized services and competitive pricing is crucial for market success. As the market continues to evolve, players must stay informed of emerging trends and consumer preferences to capitalize on opportunities and navigate challenges effectively.

    What will be the Size of the Online Travel Booking Platform Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe online travel booking market continues to evolve, driven by advancements in technology and shifting consumer preferences. Mobile apps have become a dominant force, offering convenience and ease of use for travelers on-the-go. Customer lifetime value and inventory management are key focus areas for players in this sector, with third-party providers and package deals playing essential roles in expanding offerings. Social media marketing and activity bookings are emerging trends, while destination marketing and rating systems enhance the user experience. Search functionality, churn rate, and metasearch engines are crucial components of price comparison and booking engines. Data analytics, sorting algorithms, and loyalty programs help optimize performance and retain customers. Real-time availability, dynamic pricing, and fraud detection are essential for securing transactions in the ever-changing market. Flight bookings, car rentals, and hotel reservations are core offerings, with API integrations and visa assistance adding value. Revenue management, conversion rates, user experience, and website design are critical factors influencing customer acquisition and retention. Travel agents and tour operators are adapting to the digital landscape, while recommendation engines and user reviews shape the future of personalized travel experiences. Data privacy and security protocols are seamlessly integrated into the market's ongoing dynamics, ensuring a secure and trustworthy environment for all stakeholders.

    How is this Online Travel Booking Platform Industry segmented?

    The online travel booking platform industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. PlatformMobile/tabletDesktop/laptopTypePackagesDirectEnd-userLeisureBusinessMode Of BookingDirectThird-partyGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

    By Platform Insights

    The mobile/tablet segment is estimated to witness significant growth during the forecast period.The online travel booking market in the US is experiencing dynamic trends, with mobile apps emerging as a preferred choice for customers. Filtering options and search functionality enable users to find deals and packages tailored to their preferences. Customer lifetime value is a crucial metric for revenue management, while inventory management ensures real-time availability of flights, hotels, and activities. Third-party providers expand offerings, and social media marketing boosts customer engagement. Destination marketing and activity bookings cater to niche travelers, while rating systems and user reviews foster trust. Metasearch engines and price comparison tools help consumers compare deals, and email marketing maintains customer relationships. Loyalty programs and dynamic pricing offer personalized incentives. Flight bookings and car rentals are integral components, with booking engines and API integrations streamlining processes. Fraud detection and visa assistance ensure secure transactions. Cloud computing and data analytics optimize performance, while conversion rates and user experience are essential for customer acquisition. Hotel reservations and travel agents cater to various segments, and recommendation engines suggest tailored travel packages. Customer support and booking confirmation are essential for retention. Currency exchange and cancellation polic

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Dataant (2022). DATAANT | Travel Data | Dataset, API | Booking and Pricing Data: Hotel Websites, Flight Aggregators and Rental Aggregators | Global Coverage [Dataset]. https://datarade.ai/data-products/dataant-travel-data-dataset-api-booking-and-pricing-da-dataant

DATAANT | Travel Data | Dataset, API | Booking and Pricing Data: Hotel Websites, Flight Aggregators and Rental Aggregators | Global Coverage

Explore at:
.json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Dec 12, 2022
Dataset authored and provided by
Dataant
Area covered
Norfolk Island, Svalbard and Jan Mayen, Bulgaria, Luxembourg, Dominican Republic, Vietnam, Kyrgyzstan, Honduras, Saint Barthélemy, Greece
Description

DATAANT provides the ability to extract travel data from public sources like: - Hotel websites - Flight aggregators - Homestay marketplaces - Experience marketplaces - Online Travel Agencies (OTA) and any open travel industry website you need.

Forecast travel trends with Booking.com, Airbnb, and travel aggregators data.

We support providing both raw and structured data with various delivery methods.

Get the competitive advantage of hospitality and travel Intelligence by scheduled data extractions and receive your data right to your inbox.

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