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.

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

Booking Listings – Free Cancellation 🏨✈️

Booking Listings is a structured snapshot of accommodation offers worldwide as listed on Booking.com. This subset contains only properties that offer free cancellation, enabling analysts and data scientists to study flexible‑booking behaviour, derive pricing strategies, and build recommendation or revenue‑management systems.

Highlights

75 k hotels & apartments across 84 countries Rich pricing & availability metadata (final vs. original… See the full description on the dataset page: https://huggingface.co/datasets/BrightData/Booking.com-Listings.

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.

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.

The global proxy server market is experiencing robust growth, driven by increasing demand for data privacy, enhanced online security, web scraping, and application testing. The market size in 2025 is estimated at $5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by the rising adoption of cloud-based services, the proliferation of mobile devices, and the growing concerns surrounding data breaches and IP masking for various business functions and individual privacy. The market is segmented by type (web-based and client-based) and application (large enterprises and SMEs). Web-based proxies are currently dominating the market due to their ease of use and accessibility, while the large enterprise segment accounts for a significant portion of overall revenue due to higher spending capacity and complex IT infrastructure requirements. Regional growth is expected to be geographically diverse, with North America and Europe leading the market initially, followed by a rapid increase in Asia-Pacific as digitalization and technological adoption accelerate across the region. Several factors contribute to the market's growth trajectory. Increased regulatory scrutiny regarding data privacy and online security mandates the adoption of proxy servers for compliance. The burgeoning need for sophisticated web scraping techniques for market research and price comparison necessitates robust proxy solutions. Moreover, the expansion of the testing and development sector relies heavily on the usage of proxy servers for load balancing and security testing. However, challenges exist, including concerns regarding security vulnerabilities, regulatory restrictions in specific regions, and the ongoing emergence of advanced anti-proxy technologies. The market will likely see further consolidation as companies focus on developing more sophisticated and secure proxy solutions to meet the evolving needs of their clientele. The future growth of this market is highly dependent on addressing these limitations and adapting to emerging technologies.

The Historical Financial Dataset, covering 190+ countries, 320M+ companies, and 20+ fields per company, enables users to analyze company revenue and performance over time to understand its financial stability and predict future trends. Hedge funds and Venture Capital firms empower investors with this dataset to evaluate investment opportunities and identify potential growth prospects in various industries.

Yahoo Finance dataset provides information on top traded companies. It contains financial information on each company including stock ticker and risk scores and general company information such as company location and industry. Each record in the dataset is a unique stock, where multiple stocks can be related to the same company. Yahoo Finance dataset attributes include: company name, company ID, entity type, summary, stock ticker, currency, earnings, exchange, closing price, previous close, open, bid, ask, day range, week range, volume, and much more.

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.