Best Domain Name Datasets for Comprehensive Analysis
Domain name datasets are collections of data that provide information about registered domain names on the internet. These datasets typically include details such as the domain name itself, the date of registration, the expiration date, the domain registrar, and other relevant information. They are valuable for various purposes, including market research, cybersecurity analysis, brand monitoring, and domain name management. By analyzing domain name datasets, businesses and individuals can gain insights into the domain landscape, identify potential opportunities, track competitors, and ensure the security and integrity of their online presence.
Recommended Domain Name Datasets
Redmob: Domain Name Data I Global I Real-Time
PredictLeads: Web Scraping Data | Domain Name Data | Key Customers | API & Flat File | Scanning logos found on a website | 180+ Million Records
Datazag: Global Domain Name Data | DNS and Risk Classification via Dataset & API | 267M+ Domains Covering Over 1570 Domain Zones | Updated Daily
B2B Intent data|BizWatch Network (BWN)|1st Party B2B Leads Data|20MM Titles, 5MM Domain Name data|160 B2B Intent data segments|Matched IP Address data
TagX Web Scraping Data | Web data extraction | Scrape Ecommerce websites | Data from all popular domains | Global web data | 100% compliant
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Small Business Contact Data Australia | 328K+ Australian Businesses | Business Name, Email, Phone, Industry | Customisable for your requirements
Complete Domain Whois dataset (all zones)
Datazag: Global Fraud Detection Data | B2B List Validation and Data Cleansing | Domain Risk Classification & Identification | Updated Daily
OpenWeb Ninja | Scrape Company Website for B2B Contact Data, B2B Email Data, Phone Numbers Data, & Social Profile Links | Global | API | Real-Time
Versium REACH - Firmographic Append API, B2B, USA, CCPA Compliant
What is a domain name dataset?
A domain name dataset is a collection of data that contains information about registered domain names on the internet. It includes details such as the domain name, registration date, expiration date, domain registrar, and other relevant information.
What can domain name datasets be used for?
Domain name datasets are valuable for various purposes, including market research, cybersecurity analysis, brand monitoring, and domain name management. They can be used to gain insights into the domain landscape, identify potential opportunities, track competitors, and ensure the security and integrity of online presence.
How can businesses benefit from analyzing domain name datasets?
By analyzing domain name datasets, businesses can gain valuable insights into the domain landscape. They can identify trends, understand market dynamics, and discover potential opportunities for growth. Additionally, businesses can track their competitors’ domain activities, monitor brand mentions, and ensure the security and integrity of their online presence.
What kind of information is included in a domain name dataset?
A domain name dataset typically includes information such as the domain name itself, the date of registration, the expiration date, the domain registrar, and other relevant details. Some datasets may also provide additional information like the domain owner’s contact details or historical data about the domain’s ownership.
Where can domain name datasets be obtained?
Domain name datasets can be obtained from various sources. Some domain registrars and domain data providers offer access to their datasets for a fee. There are also publicly available datasets provided by organizations and research institutions. Additionally, some cybersecurity companies and market research firms may offer domain name datasets as part of their services.
How can domain name datasets be analyzed?
Domain name datasets can be analyzed using various techniques and tools. Data analysis methods such as data mining, machine learning, and statistical analysis can be applied to extract insights and patterns from the dataset. Additionally, visualization tools can be used to present the data in a more understandable and actionable format.