All Registered Domains Worldwide

The most comprehensive database of all registered domain names across all zones and TLDs globally.

Dataset Details

Format CSV
Last Updated March 14, 2026
File Size 1.04 GB
Records 272,614,863
Category Dataset
Status Processing

Documentation & Schema

domain

The fully qualified domain name (e.g., example.com).

Use Cases

Marketing & Lead Generation: Identify potential clients and generate targeted outreach lists.

Market Research: Analyze trends, technology adoption rates, and industry patterns within this domain space.

Security & Compliance: Monitor domain registrations for brand protection and threat intelligence.

All Registered Domains Worldwide β€” Complete Database Download

The All Registered Domains Worldwide dataset from WebTrackly is the most comprehensive domain name database available for purchase. This massive collection contains over 272 million registered domain names spanning every top-level domain (TLD) in existence β€” from legacy gTLDs like .com, .net, and .org to hundreds of country-code TLDs (ccTLDs) and newer generic extensions such as .io, .ai, .app, and .xyz.

What Is Included in This Dataset?

Each record in the database includes the fully qualified domain name along with its TLD classification. The data is compiled from authoritative zone files, WHOIS aggregation sources, and proprietary crawling infrastructure maintained by WebTrackly. The dataset is delivered as a CSV file compressed in ZIP format, making it easy to import into any database, spreadsheet application, or data processing pipeline. The uncompressed file size exceeds 5 GB, reflecting the sheer scale of the collection.

Who Buys This Data?

This dataset serves a wide range of professional audiences:

  • AI and Machine Learning Researchers β€” Training language models, building domain classifiers, and developing NLP systems that need real-world internet namespace data at scale.
  • Data Scientists β€” Performing large-scale statistical analysis on internet infrastructure, domain registration trends, and TLD distribution patterns.
  • Cybersecurity Firms β€” Threat intelligence teams use complete domain lists to detect phishing campaigns, identify newly registered suspicious domains, and map malicious infrastructure.
  • Market Research Companies β€” Quantifying the size of the global domain market, benchmarking industry verticals, and tracking the digital presence of competitors.
  • Domain Investors β€” Identifying expiring or undervalued domains, analyzing aftermarket trends, and building valuation models using historical registration data.

Key Use Cases

The breadth of this dataset enables a variety of high-value applications:

  • AI Training Data β€” Feed domain name corpora into transformer models for tasks such as domain generation algorithm (DGA) detection, brand-name similarity scoring, and URL classification.
  • Natural Language Processing β€” Analyze naming conventions, keyword frequency, and linguistic patterns across hundreds of millions of domains.
  • Domain Valuation β€” Build predictive pricing models by cross-referencing domain attributes like length, keyword presence, and TLD popularity.
  • Market Sizing β€” Determine the total addressable market for any TLD or geographic region by counting and segmenting active registrations.
  • Threat Intelligence β€” Compare newly observed domains against a known baseline to surface anomalies and potential threats in real time.
  • Brand Protection β€” Monitor the entire namespace for typosquatting, lookalike domains, and trademark-infringing registrations.

Data Fields and Format

The CSV file contains clean, structured columns including the domain name and its associated TLD. The data is UTF-8 encoded, uses standard comma delimiters, and is ready for immediate ingestion into tools like Python (pandas), R, PostgreSQL, MySQL, Elasticsearch, or any ETL pipeline. The ZIP archive ensures fast downloads and efficient storage.

Update Frequency and Pricing

WebTrackly updates this dataset regularly to reflect new registrations, deletions, and TLD zone changes. The current snapshot contains 272,614,863 domains and is available as a one-time purchase for 0.00 β€” no subscription required. You receive the complete file immediately after payment and can use the data without restrictions for internal analysis, research, or product development.

Why WebTrackly Is the Best Source

Unlike fragmented WHOIS lookup services or rate-limited APIs, WebTrackly delivers the entire global domain namespace in a single downloadable file. Our data pipeline aggregates information from zone files across all active TLDs, ensuring coverage that no single registrar or registry can match. With competitive pricing, instant delivery, and no usage restrictions, WebTrackly is the preferred data provider for organizations that need complete, reliable domain intelligence at scale.

Frequently Asked Questions

How many domains are included in the All Registered Domains Worldwide dataset?
The current snapshot contains 272,614,863 registered domain names covering every active top-level domain (TLD), including gTLDs like .com and .net, ccTLDs like .uk and .de, and newer extensions like .io and .ai.
What file format is the domain list delivered in?
The dataset is delivered as a CSV file compressed in a ZIP archive. The CSV uses UTF-8 encoding and standard comma delimiters, making it compatible with Python, R, Excel, PostgreSQL, MySQL, and virtually any data processing tool.
Is this a one-time purchase or a subscription?
This is a one-time purchase for $70.00. There is no recurring subscription. You receive the complete file immediately after payment and can use it without restrictions for research, analysis, or product development.
How often is the worldwide domain database updated?
WebTrackly updates this dataset regularly to reflect new domain registrations, deletions, and TLD zone changes. Each update produces a fresh snapshot that captures the current state of the global domain namespace.
Can I use this data for AI model training and commercial research?
Yes. The dataset can be used without restrictions for internal analysis, AI and machine learning training, academic research, cybersecurity threat intelligence, market research, and commercial product development.

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