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Domains Project: Processing petabytes of data so you don't have to

Domain count GitHub stars GitHub forks GitHub code size in bytes GitHub repo size GitHub issues GitHub license GitHub commit activity

World's single largest Internet domains dataset

This public dataset contains freely available sorted list of Internet domains.

Dataset statistics

Project news

Support needed!

You can support this project by doing any combination of the following:

  • Posting a link on your website to DomainsProject
  • Sponsoring this project on Patreon
  • Opening issue and attaching other domain datasets that are not here yet (be sure to scroll through this README first)

Milestones:

Domains

  • 10 Million
  • 100 Million
  • 1 Billion
  • 1.7 Billion

(Wasted) Internet traffic:

  • 500TB
  • 925TB
  • 1PB
  • 1.3PB
  • 1.5PB

Random facts:

  • More than 1TB of Internet traffic is just 3 Mbytes of compressed data
  • 1 million domains is just 5 Mbytes compressed
  • More than 5.7PB of Internet traffic is necessary to crawl 1.7 billion domains (3.4TB / 1 million).
  • Only 4.6Gb of disk space is required to store 1.7 billion domains in compressed form
  • 1Gbit fully saturated link is good for about 2 million new domains every day
  • 8c/16t and 64 Gbytes of RAM machine is good for about 2 million new domains every day
  • 2 ISC Bind9 instances (>400 Mbytes RSS each) are required to get 2 million new domains every day
  • After reaching 9 million domains repository was switched to compressed files. Please use freely available XZ to unpack files.
  • After reaching 30 million records, files were moved to /data so repository doesn't have it's README at the very bottom.

Used by

CloudSEK

Using dataset

This repository empoys Git LFS technology, therefore user has to use both git lfs and xz to retrieve data. Cloning procedure is as follows:

git clone https://github.com/tb0hdan/domains.git
cd domains
git lfs install
./unpack.sh

Getting unfiltered dataset

For Patreon subscribers raw data is available at https://dataset.domainsproject.org.

wget -m https://dataset.domainsproject.org

Data format

After unpacking, domain lists are just text files (~49Gb at 1.7 bil) with one domain per line. Sample for data/afghanistan/domain2multi-af.txt:

1tv.af
1tvnews.af
3rdeye.af
8am.af
aan.af
acaa.gov.af
acb.af
acbr.gov.af
acci.org.af
ach.af
acku.edu.af
acsf.af
adras.af
aeiti.af

Search engines and crawlers

Crawlers

Domains Project bot

Domains Project uses crawler and DNS checks to get new domains.

DNS checks client is in early stages and is used by select few. It is called Freya and I'm working on making it stable and good enough for general public.

HTTP crawler is being rewritten as well. It is called Idun

Typical user agent for Domains Project bot looks like this:

Mozilla/5.0 (compatible; Domains Project/1.0.8; +https://domainsproject.org)

Some older versions have set to Github repo:

Mozilla/5.0 (compatible; Domains Project/1.0.4; +https://github.com/tb0hdan/domains)

All data in this dataset is gathered using Scrapy and Colly frameworks.

Starting with version 1.0.7 crawler has partial robots.txt support and rate limiting. Please open issue if you experience any problems. Don't forget to include your domain.

Others

Yacy

Yacy is a great opensource search engine. Here's my post on Yacy forum: https://searchlab.eu/t/domain-list-for-easier-search-bootstrapping/231

Additional sources

List of .FR domains from AfNIC.fr

Majestic Million

Internetstiftelsen Zone Data

DNS Census 2013

bigdatanews extract from Common Crawl (circa 2012)

Common Crawl - March/April 2020

The CAIDA UCSD IPv4 Routed /24 DNS Names Dataset - January/July 2019

GSA Data

OpenPageRank 10m hosts

Switch.ch Open Data

Rapid7 Sonar FDNS

Research

This dataset can be used for research. There are papers that cover different topics. I'm just going to leave links to them here for reference.

Published works based on this dataset

Phishing Protection SPF, DKIM, DMARC

Analysis

The Internet of Names: A DNS Big Dataset

Enabling Network Security Through Active DNS Datasets

Re-registration and general statistics

Analysis of the Internet Domain Names Re-registration Market

Lexical analysis of malicious domains

Detection of malicious domains through lexical analysis

Malicious Domain Names Detection Algorithm Based on Lexical Analysis and Feature Quantification

Detecting Malicious URLs Using Lexical Analysis