%global _empty_manifest_terminate_build 0 Name: python-urlextract Version: 1.8.0 Release: 1 Summary: Collects and extracts URLs from given text. License: MIT URL: https://github.com/lipoja/URLExtract Source0: https://mirrors.nju.edu.cn/pypi/web/packages/10/8a/8f849baeab481e054b1db7fd5fff58b8d2c8360e9320bc8d0f174c305e50/urlextract-1.8.0.tar.gz BuildArch: noarch Requires: python3-idna Requires: python3-uritools Requires: python3-platformdirs Requires: python3-filelock %description URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD. How does it work ~~~~~~~~~~~~~~~~ It tries to find any occurrence of TLD in given text. If TLD is found it starts from that position to expand boundaries to both sides searching for "stop character" (usually whitespace, comma, single or double quote). A dns check option is available to also reject invalid domain names. NOTE: List of TLDs is downloaded from iana.org to keep you up to date with new TLDs. Installation ~~~~~~~~~~~~ Package is available on PyPI - you can install it via pip. pip install urlextract Documentation ~~~~~~~~~~~~~ Online documentation is published at http://urlextract.readthedocs.io/ Requirements ~~~~~~~~~~~~ - IDNA for converting links to IDNA format - uritools for domain name validation - platformdirs for determining user's cache directory - dnspython to cache DNS results pip install idna pip install uritools pip install platformdirs pip install dnspython Or you can install the requirements with `requirements.txt`: pip install -r requirements.txt Run tox ~~~~~~~ Install tox: pip install tox Then run it: tox Example ~~~~~~~ You can look at command line program at the end of *urlextract.py*. But everything you need to know is this: from urlextract import URLExtract extractor = URLExtract() urls = extractor.find_urls("Text with URLs. Let's have URL janlipovsky.cz as an example.") print(urls) # prints: ['janlipovsky.cz'] 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 janlipovsky.cz as an example." for url in extractor.gen_urls(example_text): print(url) # prints: ['janlipovsky.cz'] 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. Let's have URL janlipovsky.cz as an example." if extractor.has_urls(example_text): print("Given text contains some URL") If you want to have up to date list of TLDs you can use ``update()``: from urlextract import URLExtract extractor = URLExtract() extractor.update() or ``update_when_older()`` method: from urlextract import URLExtract extractor = URLExtract() extractor.update_when_older(7) # updates when list is older that 7 days Known issues ~~~~~~~~~~~~ Since TLD can be not only shortcut but also some meaningful word we might see "false matches" when we are searching for URL in some HTML pages. The false match can occur for example in css or JS when you are referring to HTML item using its classes. Example HTML code:

Jan

If this HTML snippet is on the input of ``urlextract.find_urls()`` it will return ``p.bold.name`` as an URL. Behavior of urlextract is correct, because ``.name`` is valid TLD and urlextract just see that there is ``bold.name`` valid domain name and ``p`` is valid sub-domain. License ~~~~~~~ This piece of code is licensed under The MIT License. %package -n python3-urlextract Summary: Collects and extracts URLs from given text. Provides: python-urlextract BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-urlextract URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD. How does it work ~~~~~~~~~~~~~~~~ It tries to find any occurrence of TLD in given text. If TLD is found it starts from that position to expand boundaries to both sides searching for "stop character" (usually whitespace, comma, single or double quote). A dns check option is available to also reject invalid domain names. NOTE: List of TLDs is downloaded from iana.org to keep you up to date with new TLDs. Installation ~~~~~~~~~~~~ Package is available on PyPI - you can install it via pip. pip install urlextract Documentation ~~~~~~~~~~~~~ Online documentation is published at http://urlextract.readthedocs.io/ Requirements ~~~~~~~~~~~~ - IDNA for converting links to IDNA format - uritools for domain name validation - platformdirs for determining user's cache directory - dnspython to cache DNS results pip install idna pip install uritools pip install platformdirs pip install dnspython Or you can install the requirements with `requirements.txt`: pip install -r requirements.txt Run tox ~~~~~~~ Install tox: pip install tox Then run it: tox Example ~~~~~~~ You can look at command line program at the end of *urlextract.py*. But everything you need to know is this: from urlextract import URLExtract extractor = URLExtract() urls = extractor.find_urls("Text with URLs. Let's have URL janlipovsky.cz as an example.") print(urls) # prints: ['janlipovsky.cz'] 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 janlipovsky.cz as an example." for url in extractor.gen_urls(example_text): print(url) # prints: ['janlipovsky.cz'] 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. Let's have URL janlipovsky.cz as an example." if extractor.has_urls(example_text): print("Given text contains some URL") If you want to have up to date list of TLDs you can use ``update()``: from urlextract import URLExtract extractor = URLExtract() extractor.update() or ``update_when_older()`` method: from urlextract import URLExtract extractor = URLExtract() extractor.update_when_older(7) # updates when list is older that 7 days Known issues ~~~~~~~~~~~~ Since TLD can be not only shortcut but also some meaningful word we might see "false matches" when we are searching for URL in some HTML pages. The false match can occur for example in css or JS when you are referring to HTML item using its classes. Example HTML code:

Jan

If this HTML snippet is on the input of ``urlextract.find_urls()`` it will return ``p.bold.name`` as an URL. Behavior of urlextract is correct, because ``.name`` is valid TLD and urlextract just see that there is ``bold.name`` valid domain name and ``p`` is valid sub-domain. License ~~~~~~~ This piece of code is licensed under The MIT License. %package help Summary: Development documents and examples for urlextract Provides: python3-urlextract-doc %description help URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD. How does it work ~~~~~~~~~~~~~~~~ It tries to find any occurrence of TLD in given text. If TLD is found it starts from that position to expand boundaries to both sides searching for "stop character" (usually whitespace, comma, single or double quote). A dns check option is available to also reject invalid domain names. NOTE: List of TLDs is downloaded from iana.org to keep you up to date with new TLDs. Installation ~~~~~~~~~~~~ Package is available on PyPI - you can install it via pip. pip install urlextract Documentation ~~~~~~~~~~~~~ Online documentation is published at http://urlextract.readthedocs.io/ Requirements ~~~~~~~~~~~~ - IDNA for converting links to IDNA format - uritools for domain name validation - platformdirs for determining user's cache directory - dnspython to cache DNS results pip install idna pip install uritools pip install platformdirs pip install dnspython Or you can install the requirements with `requirements.txt`: pip install -r requirements.txt Run tox ~~~~~~~ Install tox: pip install tox Then run it: tox Example ~~~~~~~ You can look at command line program at the end of *urlextract.py*. But everything you need to know is this: from urlextract import URLExtract extractor = URLExtract() urls = extractor.find_urls("Text with URLs. Let's have URL janlipovsky.cz as an example.") print(urls) # prints: ['janlipovsky.cz'] 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 janlipovsky.cz as an example." for url in extractor.gen_urls(example_text): print(url) # prints: ['janlipovsky.cz'] 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. Let's have URL janlipovsky.cz as an example." if extractor.has_urls(example_text): print("Given text contains some URL") If you want to have up to date list of TLDs you can use ``update()``: from urlextract import URLExtract extractor = URLExtract() extractor.update() or ``update_when_older()`` method: from urlextract import URLExtract extractor = URLExtract() extractor.update_when_older(7) # updates when list is older that 7 days Known issues ~~~~~~~~~~~~ Since TLD can be not only shortcut but also some meaningful word we might see "false matches" when we are searching for URL in some HTML pages. The false match can occur for example in css or JS when you are referring to HTML item using its classes. Example HTML code:

Jan