humbleworth/registered-domains

Registered Domains Dataset

A comprehensive dataset of registered domain names derived from the Domains Project. This dataset contains over 255 million valid, registered domain names across 1,274 different top-level domains (TLDs).

Dataset Description

This dataset was created by:

1. Extracting all domains from the Domains Project
2. Filtering for only valid, registered domains (excluding subdomains)
3. Applying quality filters to ensure data integrity
4. Shuffling the data for randomized distribution

Key Statistics

• File Size: 4.1 GB (4,110.93 MB)
• Total Domains: 255,097,510
• Unique Domains: 255,097,510 (no duplicates)
• Character Encoding: 100% ASCII-only domains
• Domain Length:
  • Average: 15.9 characters
  • Minimum: 4 characters
  • Maximum: 77 characters

Domain Characteristics

• Contains Numbers: 22,570,972 domains (8.8%)
• Contains Hyphens: 29,207,936 domains (11.4%)
• Internationalized Domains: 0 (0.0%)

Top-Level Domain Distribution

The dataset includes domains from 1,274 unique TLDs. Here are the top 20:

TLD	Count	Percentage
.com	139,092,425	54.5%
.net	12,240,626	4.8%
.de	11,349,715	4.4%
.org	10,107,145	4.0%
.nl	3,739,084	1.5%
.fr	3,634,202	1.4%
.info	3,563,893	1.4%
.ga	3,106,901	1.2%
.cn	2,965,041	1.2%
.ml	2,717,631	1.1%
.xyz	2,711,336	1.1%
.cf	2,689,845	1.1%
.eu	2,536,372	1.0%
.it	2,311,039	0.9%
.gq	2,268,637	0.9%
.tk	2,102,558	0.8%
.ca	1,997,349	0.8%
.ch	1,990,753	0.8%
.co	1,960,343	0.8%
.online	1,715,785	0.7%

File Format

The dataset is provided as a plain text file (domains.txt) with one domain per line:

• UTF-8 encoding
• No headers
• Pre-shuffled for random distribution
• Lowercase normalized

Example entries:

example.com
test-domain.net
website123.org

Use Cases

This dataset is valuable for:

• Domain name research and analysis
• Machine learning models for domain classification
• Cybersecurity research (malicious domain detection)
• Natural language processing on domain names
• TLD distribution studies
• Domain name generation models
• Statistical analysis of domain naming patterns

Data Source

Original data sourced from Domains Project, which aggregates domain information from various zone files and public sources.

License

Please refer to the Domains Project for licensing information regarding the original data source.

Tools

The repository includes a Python analysis script (analyze_domains.py) that:

• Uses multiprocessing for fast analysis
• Provides detailed statistics about the dataset
• Shows progress with tqdm
• Extracts TLD information using tldextract

To run the analysis:

pip install tldextract tqdm
python analyze_domains.py

Citation

If you use this dataset, please consider citing:

@dataset{registered_domains_dataset,
  title={Registered Domains Dataset},
  year={2024},
  source={Domains Project - https://domainsproject.org/}
}