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PKG-INFO
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Metadata-Version: 2.1
Name: tldextract
Version: 2.2.3
Summary: Accurately separate the TLD from the registered domain and subdomains of a URL, using the Public Suffix List. By default, this includes the public ICANN TLDs and their exceptions. You can optionally support the Public Suffix List's private domains as well.
Home-page: https://github.com/john-kurkowski/tldextract
Author: John Kurkowski
Author-email: [email protected]
License: BSD License
Description: `tldextract` accurately separates the gTLD or ccTLD (generic or country code
top-level domain) from the registered domain and subdomains of a URL.
>>> import tldextract
>>> tldextract.extract('http://forums.news.cnn.com/')
ExtractResult(subdomain='forums.news', domain='cnn', suffix='com')
>>> tldextract.extract('http://forums.bbc.co.uk/') # United Kingdom
ExtractResult(subdomain='forums', domain='bbc', suffix='co.uk')
>>> tldextract.extract('http://www.worldbank.org.kg/') # Kyrgyzstan
ExtractResult(subdomain='www', domain='worldbank', suffix='org.kg')
`ExtractResult` is a namedtuple, so it's simple to access the parts you want.
>>> ext = tldextract.extract('http://forums.bbc.co.uk')
>>> (ext.subdomain, ext.domain, ext.suffix)
('forums', 'bbc', 'co.uk')
>>> # rejoin subdomain and domain
>>> '.'.join(ext[:2])
'forums.bbc'
>>> # a common alias
>>> ext.registered_domain
'bbc.co.uk'
By default, this package supports the public ICANN TLDs and their exceptions.
You can optionally support the Public Suffix List's private domains as well.
Keywords: tld domain subdomain url parse extract urlparse urlsplit public suffix list
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*
Description-Content-Type: text/markdown