Skip to main content

Collects and extracts URLs from given text.

Project description

URLExtract is python class for collecting (extracting) URLs from given text based on locating TLD.

Build Status Git tag Python Version Compatibility

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.

https://img.shields.io/pypi/v/urlextract.svg https://img.shields.io/pypi/status/urlextract.svg
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:

<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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

urlextract-1.6.0.tar.gz (33.3 kB view details)

Uploaded Source

Built Distribution

urlextract-1.6.0-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file urlextract-1.6.0.tar.gz.

File metadata

  • Download URL: urlextract-1.6.0.tar.gz
  • Upload date:
  • Size: 33.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for urlextract-1.6.0.tar.gz
Algorithm Hash digest
SHA256 574f0d8c562d377336a5154840c7e4eecf54c102a538971c897f7313075a8887
MD5 b9c8be447833eaa82df82abf97b42341
BLAKE2b-256 71253c0e732dc5351f8a00ada0885efe7ebe25ba09f4c186bd42c44a9e599f31

See more details on using hashes here.

Provenance

File details

Details for the file urlextract-1.6.0-py3-none-any.whl.

File metadata

  • Download URL: urlextract-1.6.0-py3-none-any.whl
  • Upload date:
  • Size: 20.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for urlextract-1.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c22a9645cae1e1390cc512fd4f4d1f37b72538eecfdc3365905a2e616e7b6b88
MD5 793f94dd39e8b8b5b6728b4fb03f13ae
BLAKE2b-256 d361321f452c9a3a38532d25fdc15cc22c7cbc4d25de7042f399317a9d536aaa

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page