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https://github.com/Intsights/PyDomainExtractor
A blazingly fast domain extraction library written in Rust
https://github.com/Intsights/PyDomainExtractor
Last synced: 18 days ago
JSON representation
A blazingly fast domain extraction library written in Rust
- Host: GitHub
- URL: https://github.com/Intsights/PyDomainExtractor
- Owner: Intsights
- License: mit
- Created: 2019-12-15T16:24:53.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2024-03-25T15:43:08.000Z (3 months ago)
- Last Synced: 2024-05-29T17:36:12.722Z (25 days ago)
- Language: Python
- Homepage:
- Size: 291 KB
- Stars: 65
- Watchers: 6
- Forks: 6
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Lists
- awesome-hacking-lists - Intsights/PyDomainExtractor - A blazingly fast domain extraction library written in Rust (Python)
- awesome-blazingly-fast - PyDomainExtractor - A blazingly fast domain extraction library written in Rust (Python)
README
A blazingly fast domain extraction library written in Rust
[](https://pypi.org/project/PyDomainExtractor/)
## Table of Contents
- [Table of Contents](#table-of-contents)
- [About The Project](#about-the-project)
- [Built With](#built-with)
- [Performance](#performance)
- [Extract From Domain](#extract-from-domain)
- [Extract From URL](#extract-from-url)
- [Installation](#installation)
- [Usage](#usage)
- [Extraction](#extraction)
- [URL Extraction](#url-extraction)
- [Validation](#validation)
- [TLDs List](#tlds-list)
- [License](#license)
- [Contact](#contact)
## About The Project
PyDomainExtractor is a Python library designed to parse domain names quickly.
In order to achieve the highest performance possible, the library was written in Rust.
### Built With
* [AHash](https://github.com/tkaitchuck/aHash)
* [idna](https://github.com/servo/rust-url/)
* [memchr](https://github.com/BurntSushi/memchr)
* [once_cell](https://github.com/matklad/once_cell)
* [Public Suffix List](https://publicsuffix.org/)
### Performance
#### Extract From Domain
Tests were run on a file containing 10 million random domains from various top-level domains (Mar. 13rd 2022)
| Library | Function | Time |
| ------------- | ------------- | ------------- |
| [PyDomainExtractor](https://github.com/Intsights/PyDomainExtractor) | pydomainextractor.extract | 1.50s |
| [publicsuffix2](https://github.com/nexb/python-publicsuffix2) | publicsuffix2.get_sld | 9.92s |
| [tldextract](https://github.com/john-kurkowski/tldextract) | \_\_call\_\_ | 29.23s |
| [tld](https://github.com/barseghyanartur/tld) | tld.parse_tld | 34.48s |
#### Extract From URL
The test was conducted on a file containing 1 million random urls (Mar. 13rd 2022)
| Library | Function | Time |
| ------------- | ------------- | ------------- |
| [PyDomainExtractor](https://github.com/Intsights/PyDomainExtractor) | pydomainextractor.extract_from_url | 2.24s |
| [publicsuffix2](https://github.com/nexb/python-publicsuffix2) | publicsuffix2.get_sld | 10.84s |
| [tldextract](https://github.com/john-kurkowski/tldextract) | \_\_call\_\_ | 36.04s |
| [tld](https://github.com/barseghyanartur/tld) | tld.parse_tld | 57.87s |
### Installation
```sh
pip3 install PyDomainExtractor
```
## Usage
### Extraction
```python
import pydomainextractor
# Loads the current supplied version of PublicSuffixList from the repository. Does not download any data.
domain_extractor = pydomainextractor.DomainExtractor()
domain_extractor.extract('google.com')
>>> {
>>> 'subdomain': '',
>>> 'domain': 'google',
>>> 'suffix': 'com'
>>> }
# Loads a custom SuffixList data. Should follow PublicSuffixList's format.
domain_extractor = pydomainextractor.DomainExtractor(
'tld\n'
'custom.tld\n'
)
domain_extractor.extract('google.com')
>>> {
>>> 'subdomain': 'google',
>>> 'domain': 'com',
>>> 'suffix': ''
>>> }
domain_extractor.extract('google.custom.tld')
>>> {
>>> 'subdomain': '',
>>> 'domain': 'google',
>>> 'suffix': 'custom.tld'
>>> }
```
### URL Extraction
```python
import pydomainextractor
# Loads the current supplied version of PublicSuffixList from the repository. Does not download any data.
domain_extractor = pydomainextractor.DomainExtractor()
domain_extractor.extract_from_url('http://google.com/')
>>> {
>>> 'subdomain': '',
>>> 'domain': 'google',
>>> 'suffix': 'com'
>>> }
```
### Validation
```python
import pydomainextractor
# Loads the current supplied version of PublicSuffixList from the repository. Does not download any data.
domain_extractor = pydomainextractor.DomainExtractor()
domain_extractor.is_valid_domain('google.com')
>>> True
domain_extractor.is_valid_domain('domain.اتصالات')
>>> True
domain_extractor.is_valid_domain('xn--mgbaakc7dvf.xn--mgbaakc7dvf')
>>> True
domain_extractor.is_valid_domain('domain-.com')
>>> False
domain_extractor.is_valid_domain('-sub.domain.com')
>>> False
domain_extractor.is_valid_domain('\xF0\x9F\x98\x81nonalphanum.com')
>>> False
```
### TLDs List
```python
import pydomainextractor
# Loads the current supplied version of PublicSuffixList from the repository. Does not download any data.
domain_extractor = pydomainextractor.DomainExtractor()
domain_extractor.get_tld_list()
>>> [
>>> 'bostik',
>>> 'backyards.banzaicloud.io',
>>> 'biz.bb',
>>> ...
>>> ]
```
## License
Distributed under the MIT License. See `LICENSE` for more information.
## Contact
Gal Ben David - [email protected]
Project Link: [https://github.com/Intsights/PyDomainExtractor](https://github.com/Intsights/PyDomainExtractor)
[license-shield]: https://img.shields.io/github/license/othneildrew/Best-README-Template.svg?style=flat-square