Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.

What’s your mission? Use our Business Data API to:

1. Search and update companies in real time: Your database in top shape. Always. Update your complete database or search for missing information on a specific client.

2. Build applications: Whether you want to build a lead generation tool or phone book app: you need data, on global scale.

3. Safe on IT costs: Processing and managing large amounts of data requires IT capacity. Once our API is installed you will not longer have to look at your IT bill.

Earthquake Reports Features a summary of all significant earthquake activity including earthquake magnitude, depth, and location. Reports are sent out as they occur. Clients also have the ability to map the earthquake data in real-time.

CustomWeather can deliver historical earthquake data going back two weeks.

We also provide more sophisticated Earthquake data:

1. All Earthquakes during the past 10 days.

2. Earthquake information based on various magnitude intensities.

3. Earthquake occurring within a certain geographic boundary.

This natural disasters data is part of CustomWeather's comprehensive data offerings, covering the entire life cycle of weather - past, present, and future. This event data is available globally.

CustomWeather's Real-Time Earthquake Reports serve the following categories: Environmental Data, Event Data, Geographic Data, Map Data, Natural Disasters Data, and Place Data.

This link will take you to the site where you can create an account to access Pittsburgh Regional Transit's real time arrival information. To request access to Pittsburgh Regional Transit's real-time API, login or create an account at http://truetime.portauthority.org. Once you log in, go to "My Account", under "Developer API", click the link to request access.

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

The Near Real-time Data Access (NeRDA) Portal is making near real-time data available to our stakeholders and interested parties. We're helping the transition to a smart, flexible system that connects large-scale energy generation right down to the solar panels and electric vehicles installed in homes, businesses and communities right across the country. In line with our Open Networks approach, our Near Real-time Data Access (NeRDA) portal is live and making available power flow information from our EHV, HV, and LV networks, taking in data from a number of sources, including SCADA PowerOn, our installed low voltage monitoring equipment, load model forecasting tool, connectivity model, and our Long-Term Development Statement (LTDS). Making near real-time data accessible from DNOs is facilitating an economic and efficient development and operation in the transition to a low carbon economy. NeRDA is a key enabler for the delivery of Net Zero - by opening network data, it is creating opportunities for the flexible markets, helping to identify the best locations to invest flexible resources, and connect faster. You can access this information via our informative near real-time Dashboard and download portions of data or connect to our API and receive an ongoing stream of near real-time data.

GTFS Realtime feeds have been provided by the Victoria Department of Transport and Planning to provide realtime updates about Public Transport services. It contains feeds about: Trip Updates - delays, cancellations, changed routes Service Alerts - stop moved, unforeseen events affecting a station, route or the entire network Vehicle Positions - information about the vehicles including location and congestion level Please note these feeds are provided in the Protocol Buffer format and are not human readable. For more information refer to this GTFS Realtime page () which is maintained by MobilityData () and facilitates the GTFS and GTFS-R specification. API Key - To obtain an API Key please continue to signup using our old Data Exchange Platform (TEMPORARY) Summary of Changes GTFS-R - Trip Updates - Metro Train: Schedule Relationships, Stop ID, and Route ID have been added as additional fields to enhance real-time trip accuracy. GTFS-R - Vehicle Positions - Metro Train: Route ID added as a Conditionally Required field to improve data details. GTFS-R - Service Alerts - Metro Train: Additional information about planned and unplanned disruptions have been added to include more details about delays and bus replacement services. Route ID and Direction ID are two new fields that have been added also. Please note: the information in the current ‘Required’ data fields remains the same and data feeds continue to follow the GTFS Realtime global standards and specifications. These data feeds will also still be hosted via the Data Exchange Platform, so there are no changes to API keys. However, in the next few months, they will be moved to the Transport Victoria Open Data Portal and users will need to register for a new API key. We will provide more information closer to the date. Why are these changes being made? These changes are being made to: Create consistent and accurate real-time transport information for open data users. Improve trip planning and data usability by better aligning static and real-time datasets.

Sports Data API Market size was valued at USD 4.78 Billion in 2024 and is projected to reach USD 31.13 Billion by 2032, growing at a CAGR of 26.4% during the forecast period 2026 to 2032. Real-time sports analytics are being increasingly sought after by teams and broadcasters. Instant access to performance data and insights is being used to enhance strategies and improve fan engagement.Fantasy sports platforms are being widely adopted by sports fans globally. APIs are being used to provide detailed player stats and performance metrics, enriching the fantasy sports experience.

The global Sports Data API Service market is experiencing robust growth, driven by the increasing demand for real-time data and advanced analytics across various segments of the sports industry. The market's expansion is fueled by the rising popularity of sports betting, fantasy sports, and the need for data-driven decision-making by sports teams, media organizations, and governing bodies. The integration of AI and machine learning in sports analytics further enhances the value proposition of these services, leading to the development of innovative applications like predictive modeling and personalized fan experiences. Key application segments such as sports betting and fantasy sports are exhibiting particularly high growth rates, creating significant market opportunities for API providers. The market is segmented by data type, with real-time data and advanced analytics being the most sought-after offerings. Competition is intense, with established players and emerging startups vying for market share. Growth is expected across all regions, with North America and Europe currently dominating due to established sports infrastructure and higher technological adoption rates. However, significant growth potential exists in Asia-Pacific and other developing regions as digital penetration and sports viewership increase. The market's growth trajectory is projected to remain positive in the forecast period (2025-2033), driven by technological advancements, increasing investments in data infrastructure, and the ongoing expansion of the digital sports ecosystem. The availability of comprehensive and accurate sports data is crucial for a wide range of applications, from enhancing fan engagement through interactive experiences to optimizing player performance and enhancing the efficiency of sports businesses. However, challenges such as data security concerns and the need for robust data governance frameworks need to be addressed. Furthermore, the market will need to adapt to the ever-evolving needs of different stakeholders, including the increasing demand for personalized and customized data solutions. The continued investment in research and development of new data analytics techniques and the expansion into new geographical markets will be critical for future market success.

The global Stock Market API market is experiencing robust growth, driven by the increasing demand for real-time and historical financial data across various sectors. The proliferation of algorithmic trading, quantitative analysis, and the development of sophisticated financial applications are key factors fueling this expansion. The market is segmented by deployment (cloud-based and on-premises) and user type (SMEs and large enterprises), with cloud-based solutions gaining significant traction due to their scalability, cost-effectiveness, and accessibility. Large enterprises, with their extensive data processing needs and investment in advanced analytics, currently dominate the market share, but the SME segment is exhibiting impressive growth potential as access to affordable and user-friendly APIs becomes increasingly widespread. Geographic expansion is also a significant driver, with North America and Europe holding substantial market shares, while Asia-Pacific is emerging as a rapidly growing region fueled by increasing technological adoption and economic expansion. While competitive pressures from numerous providers and data security concerns present some restraints, the overall market outlook remains highly positive, projected to maintain a strong Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). The competitive landscape is characterized by a diverse range of established players and emerging startups. Established players like Refinitiv and Bloomberg offer comprehensive data solutions, while smaller companies like Alpha Vantage and Marketstack provide specialized APIs focusing on specific data sets or user needs. This competitive environment fosters innovation, driving the development of new features and capabilities within Stock Market APIs. The increasing demand for integrated data solutions—combining market data with alternative data sources—is another key trend shaping the market. Future growth will likely be fueled by the expansion of fintech, the rise of robo-advisors, and increasing adoption of APIs in academic research and financial education. The market's continued evolution necessitates ongoing adaptation and innovation from both established players and new entrants to cater to the evolving needs of a dynamic and technology-driven financial ecosystem. This ongoing innovation and increasing demand will drive the market to significant growth over the next decade.

The OpenWeb Ninja Glassdoor Data API provides real-time access to extensive company data and employer reviews data from Glassdoor.

Key company data points included in the dataset: Name, Rating, Website, Salary and Job counts, Company size, Revenue, Stock, Competitors, Awards won, and 30+ more data points.

Key employer review data points included in the dataset: Review summary, Pros / Cons, Employee status, Location, Work-Life balance, CEO rating, and 20+ more data points.

OpenWeb Ninja's Glassdoor Data API Stats & Capabilities: - 2M+ Companies/Employers - 80M+ Employee Reviews - 30+ company data points - 20+ review data points - Company search capability

OpenWeb Ninja's Glassdoor Data API common use cases: - Investors and Market Analysts - Market and Industry Trends - Competitive Analysis - Company Insights

This dataset provides comprehensive real-time data from Glassdoor. It includes detailed company information, employee reviews, salary data, interview data, and more for employers worldwide. The data covers company attributes like ratings, reviews, salaries, benefits, and workplace culture details. Users can leverage this dataset for employer research, job market analysis, and workplace intelligence. The API enables real-time access to Glassdoor's vast employer database and review data, helping businesses make data-driven decisions about recruitment, employer branding, and workplace culture. Whether you're conducting market analysis, tracking employer reputation, or building HR tools, this dataset provides current and reliable Glassdoor data. The dataset is delivered in a JSON format via REST API.

This dataset stores current state (free or occupied) of parking spots monitored by Sage parking sensors

The global Sports Data API Interface market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the broader digitalization of the sports industry. The market's expansion is fueled by a rising demand for real-time, accurate, and comprehensive sports data among various stakeholders, including sports media outlets, betting operators, fantasy sports platforms, and data analytics firms. Technological advancements, such as improved data capture and processing capabilities, and the increasing affordability of APIs are further propelling market growth. Key trends include the integration of AI and machine learning to enhance data analysis and predictive capabilities, the growing demand for personalized sports data experiences, and the expansion into emerging markets like esports. While data security and privacy concerns represent a potential restraint, the overall market outlook remains positive, indicating significant growth potential in the coming years. We estimate the market size in 2025 to be $500 million, based on observed growth in related sectors and considering the CAGR and value unit provided. Companies such as Sportradar, Genius Sports, and Stats Perform are leading the market, leveraging their established networks and technological capabilities. The competitive landscape is dynamic, with continuous innovation and strategic partnerships shaping market dynamics. Further segmentation by sports type (e.g., football, basketball, baseball) and data type (e.g., live scores, player statistics, betting odds) would provide a more granular understanding of market opportunities. The forecast period from 2025 to 2033 anticipates continued expansion, driven by factors such as the increasing penetration of smartphones and mobile betting, expansion into new geographical regions, and the burgeoning esports market. However, challenges remain, including the need to address data integrity concerns and maintaining the regulatory compliance necessary for responsible gaming. The integration of diverse data sources, improved data analytics, and the development of innovative data visualization tools are expected to be crucial for companies seeking to thrive in this competitive market. Strategic alliances and mergers & acquisitions will likely continue to play a significant role in shaping market consolidation and technological advancements. Success will depend on delivering high-quality, reliable data in a timely and secure manner, adapting to changing regulations, and meeting the evolving needs of diverse customers. This suggests a promising future for providers who can successfully navigate these challenges and capitalize on the immense potential of the Sports Data API Interface market.

Market Analysis for Sports Data API Service The global Sports Data API Service market is projected to witness substantial growth over the forecast period of 2025-2033, registering a CAGR of XX%. The market size is estimated to surpass XXX million by 2033. This growth is primarily driven by the increasing demand for real-time data and analytics in the sports industry. Sports organizations, media companies, and betting platforms are increasingly relying on data to understand fan behavior, optimize player performance, and monetize events. The market is segmented by type, application, and region. By type, the data analysis segment holds a significant market share due to the growing need for insights and predictions in sports. By application, the sports company segment is the largest, with a wide range of companies utilizing data to improve their operations. Geographically, North America dominates the market due to the presence of major sports leagues and a well-established sports data ecosystem. Companies such as TheSports, OddsMatrix, Stats Perform, and Sportradar are key players in the market, offering a wide range of data and analytics solutions. Industry Overview The Sports Data API Service market has witnessed significant growth, driven by the increasing demand for real-time data and advanced analytics in the sports industry. Key players in the market include TheSports, OddsMatrix, Goalserve, Sportradar, Stats Perform, Genius Sports, Apl-SPORTS, SportMonks, Adara, Esports Charts, Nielsen Holdings, iSports API, and SportsDatalO.

OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

The global Sports Data API Service market is experiencing robust growth, driven by the increasing popularity of sports betting, fantasy sports, and the rise of esports. The market, estimated at $2.5 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Firstly, the proliferation of mobile devices and high-speed internet access has made it easier for users to access and consume real-time sports data. Secondly, the demand for advanced analytics and data-driven insights within the sports industry is growing, driving the adoption of sophisticated API services. Finally, the increasing sophistication of sports betting platforms and fantasy sports leagues necessitates access to reliable and high-volume data streams, further propelling market growth. Key players such as Sportradar, Genius Sports, and Stats Perform are leading the market, constantly innovating and expanding their service offerings to cater to the evolving needs of their clients. The market is segmented by sports type (e.g., football, basketball, baseball), data type (e.g., live scores, player statistics, team performance), and user type (e.g., media companies, betting operators, fantasy sports platforms). While competitive intensity and data security concerns pose challenges, the overall market outlook remains positive, with substantial growth opportunities anticipated in emerging markets and through partnerships with technology providers. The market's growth trajectory is expected to remain strong through 2033, driven by continuous technological advancements and the expanding global reach of online sports engagement. The integration of AI and machine learning into sports data analysis will create new opportunities for personalized experiences and advanced predictive modeling. Furthermore, the increasing adoption of cloud-based solutions for data storage and processing will enhance efficiency and scalability for sports data API providers. However, maintaining data accuracy and integrity amidst the increasing volume of data generated remains a critical challenge. The ability to provide real-time, reliable, and comprehensive sports data will be crucial for maintaining a competitive edge in this rapidly expanding market. Regulation and compliance with data privacy laws will also play a significant role in shaping the future landscape of the sports data API service market.

E Sports Data API Market Outlook

The global E Sports Data API market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 4.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.7% during the forecast period. This robust growth can be attributed to the increasing popularity of eSports, the surge in demand for real-time data and analytics, and the burgeoning interest in eSports betting and fantasy sports. Several additional factors, including advancements in technology and a growing number of partnerships within the industry, are also significantly contributing to market expansion.

One of the primary growth drivers of the E Sports Data API market is the rising popularity and acceptance of eSports across the globe. eSports has evolved from a niche market into a mainstream entertainment industry, attracting millions of viewers and generating substantial revenue. The proliferation of internet connectivity and the increasing use of smartphones have further facilitated the growth of the eSports sector, subsequently boosting the demand for comprehensive data APIs that can deliver real-time analytics and insights. This demand is not limited to professional teams and players but extends to broadcasters, sponsors, and betting companies who are increasingly relying on data to enhance engagement and inform strategic decisions.

Another significant factor contributing to the market's growth is the advancements in data analytics and artificial intelligence. These technologies enable the collection, processing, and interpretation of vast amounts of data generated during eSports events. Advanced analytics helps in player performance analysis, game strategy formulation, and enhancing viewer experience. The integration of AI and machine learning algorithms into data APIs allows for more accurate predictions, personalized content, and improved game outcomes. As these technologies continue to evolve, the capabilities of eSports data APIs are expected to become more sophisticated, driving further market growth.

The burgeoning interest in eSports betting and fantasy sports is also playing a pivotal role in the growth of the E Sports Data API market. Betting companies and fantasy sports platforms are increasingly utilizing data APIs to offer real-time odds, player statistics, and game outcomes to their users. This not only enhances the user experience but also drives engagement and revenue for these platforms. As more regions legalize eSports betting and the fantasy sports market continues to grow, the demand for reliable and comprehensive data APIs is expected to rise significantly.

Regionally, North America holds a significant share of the E Sports Data API market, driven by the strong presence of major eSports organizations, technological advancements, and high consumer spending on gaming and entertainment. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, fueled by the increasing popularity of eSports, a large pool of gamers, and supportive government initiatives. Europe also presents substantial growth opportunities due to the growing number of eSports tournaments and a strong focus on technological innovation within the region.

The evolution of E-sports Game Products has been instrumental in shaping the landscape of the eSports industry. These products, ranging from gaming peripherals to specialized software, enhance the gaming experience for both players and spectators. With the continuous advancements in technology, E-sports Game Products are becoming more sophisticated, offering features that improve gameplay, increase engagement, and provide better analytics. The demand for these products is not only driven by professional gamers but also by casual players who seek to elevate their gaming experience. As the eSports industry continues to grow, the market for E-sports Game Products is expected to expand, offering new opportunities for innovation and development.

Component Analysis

The E Sports Data API market is primarily segmented into software and services. The software segment dominates the market as it encompasses various platforms and tools that facilitate the collection, analysis, and dissemination of eSports data. These software solutions are essential for providing real-time analytics, player performance metrics, and game insights. The continuous advancements in software technologies, such as AI and machine learning, are