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.
Success.ai’s Ecommerce Merchant Data and B2B Contact Data for Global E-commerce Professionals provides a comprehensive and highly accurate database from over 170 million verified profiles. Specifically tailored for the e-commerce sector, this dataset features work emails, direct phone numbers, and enriched professional profiles to connect businesses with the leaders and decision-makers shaping the global e-commerce landscape. Continuously updated with advanced AI validation, this resource is ideal for enhancing marketing campaigns, sales initiatives, recruitment efforts, and market research.
Key Features of Success.ai's Global E-commerce Professional Contact Data
Global Data Coverage Gain access to an extensive database spanning key e-commerce markets worldwide. With verified profiles from 170M+ professionals, Success.ai ensures you can connect with global influencers, decision-makers, and strategists across diverse regions and industries.
AI-Driven Accuracy Harness the power of AI validation for 99% accuracy rates across emails and phone numbers. Our continuously updated dataset ensures that you reach the right professionals with reliable and actionable contact data.
Tailored for E-commerce Professionals Our data includes profiles of experts in online retail, supply chain logistics, payment systems, digital marketing, and e-commerce technology, making it a perfect fit for targeting niche segments within the e-commerce industry.
Customizable Data Delivery Choose from API integrations, custom flat files, or direct database access to seamlessly integrate this dataset into your existing systems, empowering your team with flexibility and efficiency.
Compliance-Ready Data Success.ai ensures all data is collected and processed in alignment with GDPR, CCPA, and other international compliance standards, so you can leverage this resource with confidence and ethical assurance.
Why Choose Success.ai for Global E-commerce Contact Data?
Best Price Guarantee We offer a highly competitive pricing model that ensures the best value for high-quality, actionable data.
Strategic Applications Success.ai’s B2B Contact Data supports a variety of business functions:
E-commerce Marketing Campaigns: Use verified contact information to launch targeted campaigns that reach decision-makers in the e-commerce sector. Sales and Outreach: Enhance your sales strategy with direct access to key players in global e-commerce. Talent Acquisition: Identify and engage with e-commerce professionals for roles in marketing, logistics, technology, and operations. Market Insights: Leverage enriched demographic and firmographic data to conduct in-depth market research and refine your strategies. Business Networking: Build connections with professionals and companies driving innovation in the global e-commerce ecosystem.
Enrichment API: Real-time updates to maintain the accuracy and relevance of your contact database. Lead Generation API: Maximize outreach efforts with access to key contact information, enabling up to 860,000 API calls per day.
Data Highlights 170M+ Verified Global Profiles 50M Direct Phone Numbers 700M Total Professional Profiles Worldwide 70M Verified Company Profiles
Use Cases
Success.ai is the ultimate choice for global e-commerce data solutions, delivering unmatched volume, accuracy, and flexibility:
Transform your e-commerce strategies today with Success.ai. Gain access to reliable, verified contact data for global e-commerce professionals and unlock unparalleled opportunities for growth and innovation.
No one beats us on price. Period.
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The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.
AutoScraping’s Travel Agents Contact Data is a unique and comprehensive dataset that provides detailed and verified information on 9,000 travel agents across the USA, LATAM, and Europe. This data product is specifically designed for businesses looking to expand their reach in the travel and tourism industry. It offers key insights and direct access to professionals in one of the most dynamic and globally connected sectors.
What Makes Our Data Unique? Our dataset stands out for its high level of accuracy and completeness. Each record is meticulously verified to ensure the highest quality, providing up-to-date contact information, including email addresses and phone numbers. The data is sourced from reliable industry channels and continuously updated to maintain relevance and integrity. Additionally, all data is GDPR-compliant, guaranteeing that your marketing and outreach efforts are effective and legally sound.
How Is the Data Generally Sourced? The data is collected through automated scraping techniques and manual verification processes. We target reputable sources such as travel industry directories, professional networking sites, and publicly available information from company websites. Each record is then cross-referenced and validated to confirm its authenticity and accuracy, providing you with a trustworthy dataset that you can rely on for various business applications.
Primary Use-Cases and Verticals The primary use cases for this data product include:
Marketing and Sales Outreach: Leverage our comprehensive contact information to reach out directly to travel agents in your target regions. This is ideal for travel, hospitality, and tourism companies looking to promote their services, launch marketing campaigns, or establish partnerships. Business Development: Use this dataset to identify potential partners, collaborators, or clients in the travel industry. With detailed insights into the agents' locations and areas of specialization, you can tailor your business development strategies effectively. Market Research and Analysis: Analyze trends and opportunities within the travel industry across different regions. This data is valuable for market researchers and analysts who want to understand the competitive landscape and make data-driven decisions. Event Promotion: If you organize events, workshops, or conferences in the travel sector, this dataset allows you to invite and connect with key industry players most likely to be interested in your events. Coverage and Attributes The dataset covers many geographies, including the United States, Latin America, and Europe, making it a versatile resource for global business strategies. It includes:
Geographic Coverage: USA, LATAM, Europe. Contact Information: Verified email addresses and phone numbers. Industry Focus: Travel agents with expertise in various travel segments such as leisure, corporate travel, luxury travel, and more. Compliance: GDPR-compliant, ensuring your outreach efforts are legally protected. Scale & Quality Indicators Our dataset includes 9,000 meticulously verified records, ensuring a high degree of accuracy and completeness. We use a rigorous verification process to cross-check and validate each entry, reducing the likelihood of outdated or incorrect information. This makes it an excellent choice for businesses that require reliable data for high-stakes applications, such as sales, marketing, and strategic planning.
How Does This Data Product Fit into Our Broader Data Offering? AutoScraping is dedicated to providing high-quality, customized datasets across various industries and geographies. Our Travel Agents Contact Data is part of our broader portfolio of data products, which includes datasets tailored to sectors like finance, real estate, and e-commerce. Our mission is to empower businesses with the data they need to make informed decisions, identify opportunities, and drive growth.
This dataset complements our other offerings by providing specific, actionable insights into the travel industry, characterized by its rapid growth and high competition. By incorporating this dataset into your business intelligence arsenal, you can gain a competitive edge and build stronger connections in the travel market.
Why Choose AutoScraping? With over a decade of experience in data extraction and verification, AutoScraping is a trusted partner for businesses seeking high-quality, reliable data. Our commitment to accuracy, compliance, and customer satisfaction sets us apart in the industry. Whether you want to expand your market presence, refine your business strategies, or conduct in-depth market research, our datasets are designed to meet your needs.
Investing in our Travel Agents Contact Data means you are not just acquiring information but gaining a powerful tool to drive your business forward. Our team is here to support you with any customization needs, ensuring that the data you receive perfectly al...
Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.
Key use cases of B2B Data have helped our customers in several areas :
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The Life in Kyrgyzstan (LiK) Study is a research-based multi-topic longitudinal survey of households and individuals in Kyrgyzstan, which Prof. Tilman Brück started in 2009. It tracks the same 3000 households and over 8000 individuals over time in all seven Kyrgyz regions (oblasts) and the two administratively distinct cities of Bishkek and Osh, resulting in a dataset that is representative nationally, rural/urban, and North/South. The initial sampling was based on the 2009 national population census. The survey was first conducted in the fall of 2010 and it has been repeated five times in 2011, 2012, 2013, 2016, and 2019. The LiK Study covers a broad range of topics such as household demographics, health, education, assets, expenditure, migration, employment, agricultural markets, shocks, social networks, and subjective well-being. It contains separate questionnaires at the community, household, farm, and individual levels. The LiK data is posted for free public access on this website since 2016. The data are supported by the provision of questionnaires and field reports. The LiK received funding from the Volkswagen Foundation for the first three waves (2010-2012) when it was hosted by the German Institute of Economic Research (DIW). Other project partners were the Humboldt University of Berlin, the Center for Social and Economic Research (CASE-Kyrgyzstan), and the American University of Central Asia (AUCA). In the period 2013-2015, Wave 4 was funded by DFID and IZA as a part of the Growth and Labour Market-Low Income Country (GLM-LIC) Programme. The consortium included the Stockholm International Peace Research Institute (SIPRI) as the lead institution, UCA as the main Kyrgyz partner, and several research institutions from Asia, Europe, and North America. Since then, the study has been hosted by the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) for Waves 5 and 6 and has received funding from UN-FAO, IFPRI, DFID, IZA and, internally, from IGZ and UCA. The first five waves of the LiK survey were collected by the company Sotseconik; the sixth wave was collected by the survey company SIAR. Both companies are long-established and reputable companies providing services in Kyrgyzstan and other Central Asian countries. Research Focus: The dataset covers a wide range of topics – from household demographics, assets, income sources, expenditure, and migration to individual well-being, employment, social networks, decision-making, and attitudes among many other topics. Each of the questionnaires at the various levels consists of several modules, with core modules being asked in every wave. In 2016, an agricultural questionnaire was added to collect detailed information on farming (from farming households1). In 2019, a youth questionnaire was added to interview household members aged 14-17. The household questionnaire includes: 1) Household composition and children 2) Housing and assets 3) Agricultural markets (moved to Agricultural questionnaire in Wave 5) 4) Consumption and expenditure 5) Income sources 6) Migration 7) Shocks 8) Climate change (only in Wave 6) The individual-level questionnaires include (incl. youth questionnaire introduced in Wave 6): 1) Subjective well-being 2) Education, health, and personality 3) Labour market 4) Movements 5) Family and household 6) Worries 7) Aspirations (only in Wave 5) 8) Security and violence 9) Social life The agricultural questionnaire includes (Waves 5 and 6): 1) Farm land and use 2) Livestock and poultry farming 3) Agricultural information 4) Products quality 5) Farm investments The community-level questionnaire includes: 1) General community information 2) Prices for food products Spatial Coverage: The LiK survey collects data in all seven Kyrgyz oblasts (Batken, Chui, Djalal-Abad, Issyk-Kul, Naryn, Osh, and Talas) and the cities of Bishkek and Osh. It is representative at the national level as well as for urban and rural areas and the south and the north of the country. Tracking: The LiK is an individual panel, not a household panel. All adult members of the households, not just one respondent, are interviewed and tracked over time. In principle, all persons who took part in the first wave of the survey in 2010 are to be surveyed in the following waves. In each survey year, all individuals aged 18 and older, who were part of a LiK household in the previous years, and their respective households, are to be interviewed. If the sample individual moves, the individual is followed within Kyrgyzstan; if he or she moves out of the country, the individual is dropped from the sample. He or she may re-enter when coming back to the original household later. New individuals that move into an existing LiK household are surveyed and tracked, even in case of their eventual departure from the household in the following waves. Since all adult household members are to be re-interviewed individually in the LiK, all children of LiK households become part of the sample...
Success.ai’s Pharma Data for the Global Pharmaceutical Industry provides a robust dataset tailored for businesses looking to connect with pharmaceutical companies, decision-makers, and key stakeholders worldwide. Covering pharmaceutical manufacturers, research organizations, biotech firms, and distributors, this dataset offers verified SIC codes, firmographic details, and contact information for executives and operational leads.
With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, market research, and business development strategies are driven by reliable, continuously updated, and AI-validated data. Supported by our Best Price Guarantee, this solution is essential for navigating the competitive global pharmaceutical landscape.
Why Choose Success.ai’s Pharma Data?
Verified Contact Data for Precision Outreach
Comprehensive Coverage of the Global Pharmaceutical Sector
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Pharmaceuticals
Advanced Filters for Precision Targeting
SIC Codes and Firmographic Insights
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Market Research and Product Development
Partnership and Supply Chain Development
Regulatory Compliance and Risk Mitigation
Why Choose Success.ai?
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License information was derived automatically
High-speed train operation data are reliable and rich resources in data-driven research. However, the data released by railway companies are poorly organized and not comprehensive enough to be applied directly and effectively. A high-speed railway network dataset suitable for research is still lacking. To support the research in large-scale complex network, complex dynamic system and intelligent transportation, we develop a high-speed railway network dataset, containing the train operation data in different directions from October 8, 2019 to January 27, 2020, the train delay data of the railway stations, the junction stations data, and the mileage data of adjacent stations. In the dataset, weather, temperature, wind power and major holidays are considered as factors affecting train operation. Potential research values of the dataset include but are not limited to complex dynamic system pattern mining, community detection and discovery, and train delay analysis. Besides, the dataset can be used to solve various railway operation and management problems, such as passenger service network improvement, train real-time dispatching and intelligent driving assistance.
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Blockchain AI Market size was valued at USD 448 Million in 2023 and is projected to reach USD 2730 Million by 2031, at a CAGR of 25.5% from 2024 to 2031.
Global Blockchain AI Market Drivers
The market drivers for the Blockchain AI Market can be influenced by various factors. These may include:
Enhanced Data Security: By offering a decentralized and unchangeable record for information sharing and archiving, the combination of blockchain technology and artificial intelligence improves data security. Sensitive information is especially valuable in this secure infrastructure for supply chain management, banking, and healthcare.
Increased Adoption of AI: As AI is used more and more in many industries, there is a greater need for blockchain-based solutions to deal with issues with data transparency and integrity. Blockchain technology ensures the quality and dependability of AI-powered services and apps by verifying the legitimacy of the data used to train AI algorithms.
Growing worries About Data Privacy: Organizations are investigating blockchain AI solutions that provide more control over data access and usage due to growing worries about data privacy and ownership. Blockchain gives people control over their data while allowing AI algorithms to access it selectively for processing and analysis.
Demand for Transparent and Reliable AI Systems: Companies and customers alike are looking for reliable and transparent AI systems that can shed light on the decision-making process. Blockchain technology makes it possible to transparently record the decisions and acts of AI algorithms, which promotes transparency and confidence in AI-powered systems.
Decentralized AI Marketplaces Are Necessary: Blockchain technology is enabling the development of decentralized AI marketplaces, which are democratizing access to AI datasets and algorithms. These markets enable peer-to-peer exchanges and cooperation, enabling businesses and developers to profitably and effectively share AI resources.
Regulatory Compliance Requirements: The adoption of blockchain AI solutions is being driven by regulatory mandates, such as the GDPR (General Data Protection Regulation) in Europe and HIPAA (Health Insurance Portability and Accountability Act) in the healthcare industry, to ensure compliance with data protection regulations. The transparent data governance offered by blockchain’s immutability and auditability features facilitate regulatory compliance.
Growing Interest in Federated Learning: Due to privacy concerns and data localization requirements, federated learning, a distributed machine learning approach, is gaining interest. It trains AI models across various decentralized devices. Blockchain technology guarantees data privacy, integrity, and incentive among participating nodes, which can enable safe and effective federated learning.
Extension of DAOs and Smart Contracts: Automated and untrusted decision-making and agreement execution is made possible by the combination of AI systems with smart contracts and decentralized autonomous organizations (DAOs). Smart contracts built on the blockchain can carry out predetermined scenarios and transactions based on insights generated by artificial intelligence, simplifying corporate processes and lowering dependency on middlemen.
The emergence of AI-driven token economies: is being fueled by the convergence of blockchain and AI technology. In these economies, tokens are utilized as incentives for sharing data, training models, and improving algorithms. These token economies ensure equitable reward for contributions while encouraging cooperation and creativity in AI research and development.
Partnerships and Cross-Industry Collaboration: The adoption of blockchain AI solutions is being accelerated by partnerships and cross-industry collaboration among research institutions, industry consortia, and technology vendors. Inter-industry collaborations enable the sharing of knowledge, assets, and optimal methodologies, promoting the advancement of blockchain artificial intelligence solutions that are both interoperable and scalable.
What Makes Our Data Unique?
Autoscraping’s Google Places Review Data is a premium resource for organizations seeking in-depth consumer insights from a trusted global platform. What sets our data apart is its sheer volume and quality—spanning over 10 million reviews from Google Places worldwide. Each review includes critical attributes such as ratings, comment titles, comment bodies, and detailed sentiment analysis. This data is meticulously curated to capture the authentic voice of consumers, offering a rich source of information for understanding customer satisfaction, brand perception, and market trends.
Our dataset is unique not only because of its scale but also due to the richness of its metadata. We provide granular details about each review, including the review source, place ID, and post date, allowing for precise temporal and spatial analysis. This level of detail enables users to track changes in consumer sentiment over time, correlate reviews with specific locations, and conduct deep dives into customer feedback across various industries.
Moreover, the dataset is continuously updated to ensure it reflects the most current opinions and trends, making it an invaluable tool for real-time market analysis and competitive intelligence.
How is the Data Generally Sourced?
The data is sourced directly from Google Places, one of the most widely used platforms for business reviews and location-based feedback globally. Our robust web scraping infrastructure is specifically designed to extract every relevant piece of information from Google Places efficiently and accurately. We employ advanced scraping techniques that allow us to capture a wide array of review data across multiple industries and geographic locations.
The scraping process is conducted at regular intervals to ensure that our dataset remains up-to-date with the latest consumer feedback. Each entry undergoes rigorous data validation and cleaning processes to remove duplicates, correct inconsistencies, and enhance data accuracy. This ensures that users receive high-quality, reliable data that can be trusted for critical decision-making.
Primary Use-Cases and Verticals
This Google Places Review Data is a versatile resource with a wide range of applications across various verticals:
Consumer Insights and Market Research: Companies can leverage this data to gain a deeper understanding of consumer opinions and preferences. By analyzing ratings, comments, and sentiment across different locations and industries, businesses can identify emerging trends, discover potential areas for improvement, and better align their products or services with customer needs.
Brand Reputation Management: Organizations can use this data to monitor their brand reputation across multiple locations. The dataset enables users to track customer sentiment over time, identify patterns in feedback, and respond proactively to negative reviews. This helps businesses maintain a positive brand image and enhance customer loyalty.
Competitive Analysis: By analyzing reviews and ratings of competitors, companies can gain valuable insights into their strengths and weaknesses. This data can inform strategic decisions, such as product development, marketing campaigns, and customer engagement strategies.
Location-Based Marketing: Marketers can utilize this data to tailor their campaigns based on regional customer preferences and sentiments. The geolocation aspect of the data allows for precise targeting, ensuring that marketing efforts resonate with local audiences.
Product and Service Improvement: Businesses can use the detailed feedback from Google Places reviews to identify specific areas where their products or services may be falling short. This information can be used to drive improvements and innovations, ultimately enhancing customer satisfaction and business performance.
Real-Time Sentiment Analysis: The continuous update of our dataset makes it ideal for real-time sentiment analysis. Companies can track how customer sentiment evolves in response to new products, services, or market events, allowing them to react quickly and adapt to changing market conditions.
How Does This Data Product Fit into Our Broader Data Offering?
Autoscraping’s Google Places Review Data is a vital component of our comprehensive data offering, which spans various industries and geographies. This dataset complements our broader portfolio of consumer feedback data, which includes reviews from other major platforms, social media sentiment data, and customer satisfaction surveys.
By integrating this Google Places data with other datasets in our portfolio, users can develop a more holistic view of consumer behavior and market dynamics. For example, combining review data with sales data or demographic information can provide deeper insights into how different factors influence customer satisfaction and purchasing decisions.
Our commitment to delivering high-...
Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.
Key use cases of B2B Data have helped our customers in several areas :
Leverage high-quality B2B data with 468 enriched attributes, covering firmographics, financial stability, and industry classifications. Our AI-optimized dataset ensures accuracy through advanced deduplication and continuous updates. With 30+ years of expertise and 1,100+ trusted sources, we provide fully compliant, structured business data to power lead generation, risk assessment, CRM enrichment, market research, and more.
Key use cases of B2B Data have helped our customers in several areas :
Success.ai’s Email Address Data for IT Companies in Europe provides a comprehensive dataset tailored for businesses targeting the European IT industry. With access to verified work emails, firmographic insights, and detailed employee data, this dataset is ideal for sales teams, marketers, and recruiters seeking to connect with decision-makers across Europe’s IT landscape.
Sourced from over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach and strategic initiatives are driven by reliable, continuously updated, and AI-validated data, all offered at an unbeatable price.
Why Choose Success.ai’s Email Address Data for IT Companies?
Verified Work Emails for Precision Outreach
Regional Coverage of Europe’s IT Sector
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in IT
Advanced Filters for Tailored Campaigns
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Marketing and Demand Generation
Recruitment and Talent Acquisition
Market Research and Technology Trends
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Customizable and Scalable Solutions
Introducing Our Comprehensive Global B2B Contact Data Solution
In today’s rapidly evolving business landscape, having access to accurate, comprehensive, and actionable information is not just an advantage—it’s a necessity. Introducing our Global B2B Contact Data Solution, meticulously crafted to empower businesses worldwide by providing them with the tools they need to connect, expand, and thrive in the global market.
What Distinguishes Our Data?
Our Global B2B Contact Data is a cut above the rest, designed with a laser focus on identifying and connecting with pivotal decision-makers. With a database of over 220 million meticulously verified contacts, our data goes beyond mere numbers. Each entry includes business emails and phone numbers that have been thoroughly vetted for accuracy, ensuring that your outreach efforts are both meaningful and effective. This data is a key asset for businesses looking to forge strong connections that are crucial for global expansion and success.
Unparalleled Data Collection Process
Our commitment to quality begins with our data collection process, which is rooted in a robust and reliable approach: - Dynamic Publication Sites: We draw data from ten dynamic publication sites, serving as rich sources for the continuous and real-time creation of our global database. - Contact Discovery Team: Complementing this is our dedicated research powerhouse, the Contact Discovery Team, which conducts extensive investigations to ensure the accuracy and relevance of each contact. This dual-sourcing strategy guarantees that our Global B2B Contact Data is not only comprehensive but also trustworthy, offering you the reliability you need to make informed business decisions.
Versatility Across Diverse Industries
Our Global B2B Contact Data is designed with versatility in mind, making it an indispensable tool across a wide range of industries: - Finance: Enable precise targeting for investment opportunities, partnerships, and market expansion. - Manufacturing: Identify key players and suppliers in the global supply chain, facilitating streamlined operations and business growth. - Technology: Connect with innovators and leaders in tech to foster collaborations, drive innovation, and explore new markets. - Healthcare: Access critical decision-makers in healthcare for strategic partnerships, market penetration, and research collaborations. - Retail: Engage with industry leaders and stakeholders to enhance your retail strategies and expand your market reach. - Energy: Pinpoint decision-makers in the energy sector to explore new ventures, investments, and sustainability initiatives. - Transportation: Identify key contacts in logistics and transportation to optimize operations and expand into new territories. - Hospitality: Connect with executives and decision-makers in hospitality to drive business growth and market expansion. - And Beyond: Our data is applicable across virtually every industry, ensuring that no matter your sector, you have the tools needed to succeed.
Seamless Integration for Holistic Insights
Our Global B2B Contact Data is not just a standalone resource—it’s a vital component of a larger data ecosystem that offers a panoramic view of the business landscape. By seamlessly integrating into our wider data collection framework, our Global B2B Contact Data enables you to: - Access Supplementary Insights: Gain additional valuable insights that complement your primary data, providing a well-rounded understanding of market trends, competitive dynamics, and global key players. - Informed Decision-Making: Whether you’re identifying new market opportunities, analyzing industry trends, or planning global expansion, our data equips you with the insights needed to make strategic, data-driven decisions.
Fostering Global Connections
In today’s interconnected world, relationships are paramount. Our Global B2B Contact Data acts as a powerful conduit for establishing and nurturing these connections on a global scale. By honing in on decision-makers, our data ensures that you can effortlessly connect with the right individuals at the most opportune moments. Whether you’re looking to forge new partnerships, secure investments, or venture into uncharted B2B territories, our data empowers you to build meaningful and lasting business relationships.
Commitment to Privacy and Security
We understand that privacy and security are of utmost importance when it comes to handling data. That’s why we uphold the highest standards of privacy and security, ensuring that all data is managed ethically and in full compliance with global privacy regulations. Businesses can confidently leverage our data, knowing that it is handled with the utmost care and respect for legal requirements.
Continuous Enhancement for Superior Data Quality
Adaptability and continuous improvement are at the core of our ethos. We are committed to consistently enhancing our B2B C...
Success.ai’s Small Business Contact Data for European Small Businesses offers a comprehensive dataset designed to help businesses connect with small and medium-sized enterprises (SMEs) across Europe. Covering a diverse range of industries, this dataset provides verified profiles, employee counts, leadership contacts, and firmographic insights for small businesses throughout the region.
Whether your goal is to expand into new markets, launch targeted marketing campaigns, or identify potential partners, Success.ai ensures your outreach efforts are powered by reliable, continuously updated, and AI-validated data.
Supported by our Best Price Guarantee, this solution delivers exceptional value for businesses seeking to engage with Europe’s thriving SME ecosystem.
Why Choose Success.ai’s Small Business Contact Data for Europe?
Verified Contact Data for Effective Outreach
Regional Focus on European Small Businesses
Continuously Updated Datasets
Ethical and Compliant
Data Highlights:
Key Features of the Dataset:
Decision-Maker Profiles in Small Businesses
Advanced Filters for Precision Targeting
AI-Driven Enrichment
Strategic Use Cases:
Sales and Lead Generation
Marketing and Brand Awareness
Recruitment and Workforce Solutions
Market Research and Competitive Analysis
Why Choose Success.ai?
Best Price Guarantee
Seamless Integration
Data Accuracy with AI Validation
Customizable and Scalable Solutions
PredictLeads offers a robust data solution specifically tailored for venture capital and private equity firms, delivering critical insights into the financing landscape. Our platform provides B2B intent data and company funding data to help investors identify early-stage growth signals, discover promising startups, and monitor industry trends.
With VC funding data, investors gain access to comprehensive details on companies backed by venture capital, spanning various funding stages. Our alternative data offers unique insights into emerging market trends, allowing firms to enhance their investment strategies. Investor data further supports firms by revealing competitor movements, enabling co-investment opportunities, and deepening insight into investor networks.
Key Features of PredictLeads Financing Events Data:
➡️ Comprehensive Company Funding Data: Access detailed insights on funding rounds, including investment amounts, types, and investors, to understand market opportunities. ➡️ Real-Time and Historical Funding Insights: Leverage up-to-date and historical B2B intent data to track funding trends and optimize investment timing. ➡️ Competitor and Market Analysis: Combine B2B intent data with financing information for in-depth analysis of competitor activity and market shifts. ➡️ Web Scraping Data for Accuracy: Our data is sourced from over 152,000 reliable sources, ensuring timely and accurate information for investor analysis. ➡️ Enhanced Personalized Outreach: Target companies with recent investments, including VC and PE-backed firms, to develop effective, personalized engagement strategies.
PredictLeads delivers a comprehensive financing events dataset designed to help venture capital (VC) and private equity (PE) firms track funding rounds, investment trends, and emerging startups. By leveraging real-time and historical company funding data, investors can identify early-stage opportunities, analyze competitor moves, and optimize deal sourcing strategies.
Use Cases: ✅ Deal Tracking – Spot companies in active funding rounds to identify investment-ready startups. ✅ Market Research – Monitor sector growth, investor activity, and funding trends to stay ahead of the market. ✅ Competitor Analysis – Analyze funding events of competitors and portfolio companies to assess market positioning. ✅ Investor Outreach – Target VC and PE-backed companies for co-investment and partnership opportunities. ✅ CRM Enrichment – Integrate company funding data into CRM systems for personalized investment insights.
Key API Attributes: - id (string, UUID) – Unique identifier for the financing event. - effective_date (ISO 8601 date-time) – Date when the investment was made. - found_at (ISO 8601 date-time) – Timestamp of when the event was detected. - categories (array of strings) – Funding round types (e.g., "series_a", "venture"). - financing_type (string) – Type of funding event (e.g., "Series A", "Private Equity"). - amount (string) – Investment amount (e.g., "$50M"). - amount_normalized (integer) – Investment amount in numeric format (e.g., 50000000). - source_urls (array of URLs) – Links to articles confirming the funding event. - company (object) – The funded company, including its domain and company name. - investors (array of objects) – List of investors involved in the financing round.
📌 Used by top VC and PE firms to drive data-driven investment strategies and gain a competitive edge in deal sourcing.
API Example: https://docs.predictleads.com/v3/api_endpoints/financing_events_dataset
Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
License information was derived automatically
Vatican Data Series {title at top of page}Data Developers: Burhans, Molly A., Cheney, David M., Emege, Thomas, Gerlt, R.. . “Vatican Data Series {title at top of page}”. Scale not given. Version 1.0. MO and CT, USA: GoodLands Inc., Catholic Hierarchy, Environmental Systems Research Institute, Inc., 2019.Web map developer: Molly Burhans, October 2019Web app developer: Molly Burhans, October 2019GoodLands’ polygon data layers, version 2.0 for global ecclesiastical boundaries of the Roman Catholic Church:Although care has been taken to ensure the accuracy, completeness and reliability of the information provided, due to this being the first developed dataset of global ecclesiastical boundaries curated from many sources it may have a higher margin of error than established geopolitical administrative boundary maps. Boundaries need to be verified with appropriate Ecclesiastical Leadership. The current information is subject to change without notice. No parties involved with the creation of this data are liable for indirect, special or incidental damage resulting from, arising out of or in connection with the use of the information. We referenced 1960 sources to build our global datasets of ecclesiastical jurisdictions. Often, they were isolated images of dioceses, historical documents and information about parishes that were cross checked. These sources can be viewed here:https://docs.google.com/spreadsheets/d/11ANlH1S_aYJOyz4TtG0HHgz0OLxnOvXLHMt4FVOS85Q/edit#gid=0To learn more or contact us please visit: https://good-lands.org/The Catholic Leadership global maps information is derived from the Annuario Pontificio, which is curated and published by the Vatican Statistics Office annually, and digitized by David Cheney at Catholic-Hierarchy.org -- updated are supplemented with diocesan and news announcements. GoodLands maps this into global ecclesiastical boundaries. Admin 3 Ecclesiastical Territories:Burhans, Molly A., Cheney, David M., Gerlt, R.. . “Admin 3 Ecclesiastical Territories For Web”. Scale not given. Version 1.2. MO and CT, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2019.Derived from:Global Diocesan Boundaries:Burhans, M., Bell, J., Burhans, D., Carmichael, R., Cheney, D., Deaton, M., Emge, T. Gerlt, B., Grayson, J., Herries, J., Keegan, H., Skinner, A., Smith, M., Sousa, C., Trubetskoy, S. “Diocesean Boundaries of the Catholic Church” [Feature Layer]. Scale not given. Version 1.2. Redlands, CA, USA: GoodLands Inc., Environmental Systems Research Institute, Inc., 2016.Using: ArcGIS. 10.4. Version 10.0. Redlands, CA: Environmental Systems Research Institute, Inc., 2016.Boundary ProvenanceStatistics and Leadership DataCheney, D.M. “Catholic Hierarchy of the World” [Database]. Date Updated: August 2019. Catholic Hierarchy. Using: Paradox. Retrieved from Original Source.Catholic HierarchyAnnuario Pontificio per l’Anno .. Città del Vaticano :Tipografia Poliglotta Vaticana, Multiple Years.The data for these maps was extracted from the gold standard of Church data, the Annuario Pontificio, published yearly by the Vatican. The collection and data development of the Vatican Statistics Office are unknown. GoodLands is not responsible for errors within this data. We encourage people to document and report errant information to us at data@good-lands.org or directly to the Vatican.Additional information about regular changes in bishops and sees comes from a variety of public diocesan and news announcements.
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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.