World’s single largest Internet domains dataset

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Welcome to Domains Project!

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



(Wasted) Internet traffic:

Random facts:

Used by


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
cd domains
git lfs install

Getting unfiltered dataset

Raw data may be available at, though it is recommended to use Github repo.

wget -m

Data format

After unpacking, domain lists are just text files (~7.0Gb at 323 mil) with one domain per line. Sample for data/afghanistan/domain2multi-af.txt:

Search engines and crawlers


Domains Project bot

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

Typical user agent for Domains Project bot looks like this:

Mozilla/5.0 (compatible; Domains Project/1.0.8; +

Some older versions have set to Github repo:

Mozilla/5.0 (compatible; Domains Project/1.0.4; +

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

Crawler code for this project is available at: Domains Crawler

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



Yacy is a great opensource search engine. Here’s my post on Yacy forum:

Additional sources

List of .FR domains from

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


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.


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