update_when_older ( 7 ) # updates when list is older that 7 days Known issues Or update_when_older() method: from urlextract import URLExtract extractor = URLExtract () extractor. If you want to have up to date list of TLDs you can use update(): from urlextract import URLExtract extractor = URLExtract () extractor. has_urls ( example_text ): print ( "Given text contains some URL" ) Let's have URL as an example." if extractor. Or if you want to just check if there is at least one URL you can do: from urlextract import URLExtract extractor = URLExtract () example_text = "Text with URLs. gen_urls ( example_text ): print ( url ) # prints: Let's have URL as an example." for url in extractor. Or you can get generator over URLs in text by: from urlextract import URLExtract extractor = URLExtract () example_text = "Text with URLs. Let's have URL as an example." ) print ( urls ) # prints: You can look at command line program at the end of urlextract.py.īut everything you need to know is this: from urlextract import URLExtract extractor = URLExtract () urls = extractor. Or you can install the requirements with requirements.txt: pip install -r requirements.txt Run tox Platformdirs for determining user’s cache directoryĭnspython to cache DNS results pip install idna Online documentation is published at Requirements Package is available on PyPI - you can install it via pip. NOTE: List of TLDs is downloaded from to keep you up to date with new TLDs. Starts from that position to expand boundaries to both sides searchingįor “stop character” (usually whitespace, comma, single or doubleĪ dns check option is available to also reject invalid domain names. It tries to find any occurrence of TLD in given text. The URL is not in the Public Suffix List.įull Domain: -> Domain: evernote -> URL: Method 3: Using urlparse() from urllib.URLExtract is python class for collecting (extracting) URLs from given Output: Full Domain: -> Domain: asciimath -> URL: įull Domain: -> Domain: todoist -> URL: įull Domain: cnn.com -> Domain: cnn -> URL: įull Domain: bbc.co.uk -> Domain: bbc -> URL: įull Domain: -> Domain: amazon -> URL: įull Domain: -> Domain: google -> URL: Print(f"The URL is not in the Public Suffix List (PSL).") Print("Full Domain: ", response.fld,"-> Domain: ", response.domain, "-> URL: ", url) # Get the full Domain - subdomain + domain # this captures URL domains not in the Public Suffix List (PSL) Response = get_tld(url, as_object=True, fail_silently=True) Optionally raises exceptions on non-existing TLDs or silently fails (if fail_silently argument is set to True) You can install tld with pip using the command “pip install tld”. The list of TLD names is taken from Public Suffix. Parts: ExtractResult(subdomain='sandbox', domain='evernote', suffix='com') -> Domain: evernote Method 2: Using tld moduleĮxtracts the Top-Level Domain (TLD) from the URL given. Parts: ExtractResult(subdomain='www.example', domain='test', suffix='') -> Domain: test Parts: ExtractResult(subdomain='', domain='google', suffix='com') -> Domain: google Parts: ExtractResult(subdomain='www', domain='amazon', suffix='de') -> Domain: amazon Parts: ExtractResult(subdomain='forums', domain='bbc', suffix='co.uk') -> Domain: bbc Parts: ExtractResult(subdomain='forums.news', domain='cnn', suffix='com') -> Domain: cnn Parts: ExtractResult(subdomain='', domain='todoist', suffix='com') -> Domain: todoist Output: Parts: ExtractResult(subdomain='', domain='asciimath', suffix='org') -> Domain: asciimath Print ( "Parts: ", parts, "-> Domain: ", parts.
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