Collects and extracts URLs from given text.
Project 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).
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
appdirs for determining user’s cache directory
pip install idna pip install uritools pip install appdirs
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 you 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 daysKnown 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:
<p class="bold name">Jan</p>
<style>
p.bold.name {
font-weight: bold;
}
</style>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.
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