20 datasets found
  1. ZoomInfo datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 19, 2024
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    Bright Data (2024). ZoomInfo datasets [Dataset]. https://brightdata.com/products/datasets/zoominfo
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 19, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    This dataset offers a comprehensive collection of ZoomInfo company data, providing an in-depth view of businesses across various industries. It includes key attributes such as company name, description, revenue, employee count, industry, leadership details, financial metrics, and much more. With subsets available by industry and company size, this dataset enables businesses to access and analyze valuable B2B information tailored to their needs. Users can leverage this dataset for competitive intelligence, lead generation, and market analysis. The data can help identify high-value prospects, track business growth, and enrich CRM systems with detailed company profiles and firmographic information. Whether you are looking to enhance your investment strategy or improve your sales targeting, this dataset serves as a crucial resource for driving informed decisions and staying ahead in the market.

  2. o

    MB "Bright Solutions" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Aug 16, 2025
    + more versions
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    Okredo (2025). MB "Bright Solutions" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/mb-bright-solutions-305909767/finance
    Explore at:
    Dataset updated
    Aug 16, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    MB "Bright Solutions" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  3. Data from: Owler Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Nov 29, 2024
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    Bright Data (2024). Owler Dataset [Dataset]. https://brightdata.com/products/datasets/owler
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Owler companies dataset, a sales intelligence and business information research company, to map your ecosystem, and find market trends and investment opportunities. Access a database of competitors, revenue, employees, and funding for any company. Depending on your needs, you may purchase the entire dataset or a customized subset. The Owler companies information dataset offers public information on all companies listed in Owler. The dataset includes all major data points: Company size Revenue News Key executives Location Website and more. Freshness configuration: monthly refreshes refresh rate of up to 8 million records a month

  4. b

    Stock Prices Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 2, 2024
    + more versions
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    Bright Data (2024). Stock Prices Dataset [Dataset]. https://brightdata.com/products/datasets/financial/stock-price
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Stock prices dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

    Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape. The dataset includes all major data points: company name, company ID, summary, stock ticker, earnings date, closing price, previous close, opening price, and much more.

  5. Glassdoor Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jan 3, 2023
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    Bright Data (2023). Glassdoor Datasets [Dataset]. https://brightdata.com/products/datasets/glassdoor
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Glassdoor dataset to find market trends and business information on companies as well as how current and past employees perceive and rate them. You may purchase the entire dataset or a customized subset depending on your needs. Popular use cases: competitive business intelligence, location-based marketing, geotargeting, B2B data enrichment, and more. The Glassdoor companies information dataset, one of the largest jobs and recruiting sites, offers a complete company overview with reviews and FAQs that provide insights about jobs and companies. The dataset includes all major data points: Location, Founding date, Revenue range, Size,Management, Company rating, CE outlook, Reviews, and FAQ as added by employees, Rating CEO approvalm and more.

  6. w

    Global Data Scraping Tools Market Research Report: By Deployment Mode...

    • wiseguyreports.com
    Updated Jul 23, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Data Scraping Tools Market Research Report: By Deployment Mode (Cloud, Web, On-Premises), By Data Source (Websites, Social Media, E-commerce Platforms, Databases, Flat Files), By Extraction Type (Structured Data, Semi-Structured Data, Unstructured Data), By Cloud Type (SaaS, PaaS, IaaS), By Application (Market Research, Price Monitoring, Lead Generation, Sentiment Analysis, Data Integration) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/data-scraping-tools-market
    Explore at:
    Dataset updated
    Jul 23, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 7, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20233.24(USD Billion)
    MARKET SIZE 20243.73(USD Billion)
    MARKET SIZE 203211.46(USD Billion)
    SEGMENTS COVEREDDeployment Mode ,Data Source ,Extraction Type ,Cloud Type ,Application ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICS1 AIpowered data extraction 2 Growing demand for structured data 3 Cloudbased data scraping services 4 Realtime web data extraction 5 Increased use of web scraping for business intelligence
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDDexi.io ,Cheerio ,ScrapingBee ,Import.io ,Scrapinghub ,80legs ,Bright Data ,Mozenda ,Phantombuster ,Helium Scraper ,ScraperAPI ,Octoparse ,Apify ,ParseHub ,Diffbot
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESAutomation for efficient data collection Realtime data extraction for enhanced decisionmaking Cloudbased tools for scalability and flexibility AIpowered tools for advanced data analysis Increased demand for web scraping in various industries
    COMPOUND ANNUAL GROWTH RATE (CAGR) 15.06% (2024 - 2032)
  7. w

    Global Rotating Residential Proxies Market Research Report: By Proxy...

    • wiseguyreports.com
    Updated Jun 24, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Rotating Residential Proxies Market Research Report: By Proxy Provider (Bright Data, Geobyte, Smartproxy, Soax, Stormproxies), By Industry Vertical (E-commerce, Market research, Travel and hospitality, Social media, Gaming), By Use Case (Web scraping, Content aggregation, Data mining, Market research, Ad verification), By Deployment Model (Cloud-based, On-premises, Hybrid) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/rotating-residential-proxies-market
    Explore at:
    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 6, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20230.34(USD Billion)
    MARKET SIZE 20240.39(USD Billion)
    MARKET SIZE 20321.1(USD Billion)
    SEGMENTS COVEREDProxy Provider ,Industry Vertical ,Use Case ,Deployment Model ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSIncreasing demand for online privacy and anonymity Growing need for web scraping and data extraction Expansion of the ecommerce and digital advertising industries Rise of social media and content marketing Government regulations and compliance requirements
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDSmartproxy ,Oxylabs ,Bright Data (Luminati) ,IPRoyal ,Geosurf ,ProxyRack ,Microlee ,StormProxies ,ScrapeStorm ,Soax (formerly NetNet) ,Blazing Proxies ,Stormproxies ,Squid Proxies ,RSocks
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESIncreased demand for privacy and security Growth of ecommerce and online advertising Rise of social media and online gaming Expansion of the Internet of Things IoT Adoption of artificial intelligence AI
    COMPOUND ANNUAL GROWTH RATE (CAGR) 14.01% (2024 - 2032)
  8. Bright People, UAB - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Aug 4, 2025
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    Okredo (2025). Bright People, UAB - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/bright-people-uab-304557359/finance
    Explore at:
    Dataset updated
    Aug 4, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    Bright People, UAB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  9. UAB "Bright medical" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 12, 2025
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    Okredo (2025). UAB "Bright medical" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-medical-306294184/finance
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2022 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    UAB "Bright medical" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  10. UAB "Bright Brush" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 12, 2025
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    Okredo (2025). UAB "Bright Brush" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-brush-306290638/finance
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2022 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    UAB "Bright Brush" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  11. b

    Travel Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Aug 13, 2025
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    Bright Data (2025). Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

    Key Travel Datasets Available:
    
      Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
        Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.
    
      Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
        to optimize revenue management and competitive analysis.
    
      Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
        including restaurant details, customer ratings, menus, and delivery availability.
    
      Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
        across different regions.
    
      Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
        allowing for precise market research and localized business strategies.
    
    
    
    Use Cases for Travel Datasets:
    
      Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
      Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
      Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
      Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.
    
    
    
      Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
      API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
      Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.
    
  12. T

    Bright Horizons Family Solutions | BFAM - Sales Revenues

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). Bright Horizons Family Solutions | BFAM - Sales Revenues [Dataset]. https://tradingeconomics.com/bfam:us:sales
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 2000 - Aug 16, 2025
    Area covered
    United States
    Description

    Bright Horizons Family Solutions reported $732M in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Bright Horizons Family Solutions | BFAM - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last August in 2025.

  13. UAB "Bright energy" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 3, 2025
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    Okredo (2025). UAB "Bright energy" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-energy-302900033/finance
    Explore at:
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2022
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    UAB "Bright energy" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  14. UAB Bright logistic solutions - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 28, 2025
    + more versions
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    Okredo (2025). UAB Bright logistic solutions - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-logistic-solutions-300587629/finance
    Explore at:
    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    UAB Bright logistic solutions financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  15. o

    MB Bright humanity - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Aug 16, 2025
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    Okredo (2025). MB Bright humanity - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/mb-bright-humanity-302926875/finance
    Explore at:
    Dataset updated
    Aug 16, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    MB Bright humanity financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  16. o

    UAB "Bright House LT" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Aug 15, 2025
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    Okredo (2025). UAB "Bright House LT" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-house-lt-303044834/finance
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    UAB "Bright House LT" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  17. UAB Bright light biopharma - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 19, 2025
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    Okredo (2025). UAB Bright light biopharma - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-light-biopharma-307188593/finance
    Explore at:
    Dataset updated
    Jul 19, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2022 - 2024
    Area covered
    Lithuania
    Description

    UAB Bright light biopharma financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  18. BRIGHT PURPLE (CEB), UAB - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 5, 2025
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    Okredo (2025). BRIGHT PURPLE (CEB), UAB - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/bright-purple-ceb-uab-302716478/finance
    Explore at:
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2022 - 2024
    Area covered
    Lithuania
    Description

    BRIGHT PURPLE (CEB), UAB financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  19. UAB "Bright Zone Consulting" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Aug 2, 2025
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    Okredo (2025). UAB "Bright Zone Consulting" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/uab-bright-zone-consulting-302657955/finance
    Explore at:
    Dataset updated
    Aug 2, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2022 - 2024
    Area covered
    Lithuania
    Description

    UAB "Bright Zone Consulting" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  20. b

    Booking.com Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Oct 13, 2024
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    Bright Data (2024). Booking.com Datasets [Dataset]. https://brightdata.com/products/datasets/booking
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Oct 13, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    The Booking Hotel Listings Dataset provides a structured and in-depth view of accommodations worldwide, offering essential data for travel industry professionals, market analysts, and businesses. This dataset includes key details such as hotel names, locations, star ratings, pricing, availability, room configurations, amenities, guest reviews, sustainability features, and cancellation policies.

    With this dataset, users can:

    Analyze market trends to understand booking behaviors, pricing dynamics, and seasonal demand.
    Enhance travel recommendations by identifying top-rated hotels based on reviews, location, and amenities.
    Optimize pricing and revenue strategies by benchmarking property performance and availability patterns.
    Assess guest satisfaction through sentiment analysis of ratings and reviews.
    Evaluate sustainability efforts by examining eco-friendly features and certifications.
    

    Designed for hospitality businesses, travel platforms, AI-powered recommendation engines, and pricing strategists, this dataset enables data-driven decision-making to improve customer experience and business performance.

    Use Cases

    Booking Hotel Listings in Greece
    Gain insights into Greece’s diverse hospitality landscape, from luxury resorts in Santorini to boutique hotels in Athens. Analyze review scores, availability trends, and traveler preferences to refine booking strategies.
    
    Booking Hotel Listings in Croatia
    Explore hotel data across Croatia’s coastal and inland destinations, ideal for travel planners targeting visitors to Dubrovnik, Split, and Plitvice Lakes. This dataset includes review scores, pricing, and sustainability features.
    
    Booking Hotel Listings with Review Scores Greater Than 9
    A curated selection of high-rated hotels worldwide, ideal for luxury travel planners and market researchers focused on premium accommodations that consistently exceed guest expectations.
    
    Booking Hotel Listings in France with More Than 1000 Reviews
    Analyze well-established and highly reviewed hotels across France, ensuring reliable guest feedback for market insights and customer satisfaction benchmarking.
    

    This dataset serves as an indispensable resource for travel analysts, hospitality businesses, and data-driven decision-makers, providing the intelligence needed to stay competitive in the ever-evolving travel industry.

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

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Bright Data (2024). ZoomInfo datasets [Dataset]. https://brightdata.com/products/datasets/zoominfo
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ZoomInfo datasets

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.json, .csv, .xlsxAvailable download formats
Dataset updated
Sep 19, 2024
Dataset authored and provided by
Bright Datahttps://brightdata.com/
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

This dataset offers a comprehensive collection of ZoomInfo company data, providing an in-depth view of businesses across various industries. It includes key attributes such as company name, description, revenue, employee count, industry, leadership details, financial metrics, and much more. With subsets available by industry and company size, this dataset enables businesses to access and analyze valuable B2B information tailored to their needs. Users can leverage this dataset for competitive intelligence, lead generation, and market analysis. The data can help identify high-value prospects, track business growth, and enrich CRM systems with detailed company profiles and firmographic information. Whether you are looking to enhance your investment strategy or improve your sales targeting, this dataset serves as a crucial resource for driving informed decisions and staying ahead in the market.

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