urlextract
Collects and extracts URLs from given text.
Decision gist · record as of 2026-08-14
Yes, if you need straightforward URL extraction from unstructured text. The package is stable (Production/Stable status), has no known security vulnerabilities, and carries a permissive MIT license. Install friction is low. However, the last release was 897 days ago and maintenance is dormant—if you need active support or expect frequent TLD updates, verify that the cached list meets your requirements or plan to fork/maintain it yourself.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction install with four lightweight runtime dependencies.
- Last release was 897 days ago; repository is not archived but marked dormant, indicating the package is stable but receives infrequent updates.
License · maintenance · safety
MIT (permissive) — MIT license is permissive—you can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.
last release 2024-02-29 (897 days) · last repo commit 2024-02-29 · 278 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,153,061 downloads/mo, #4,293 on PyPI
Alternatives
Verify before relying
pip install urlextract
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']- Whether DNS validation via dnspython is included in the base install or requires separate setup
- Current accuracy of TLD list and how often it is refreshed from iana.org
- Performance characteristics on very large texts or high-volume extraction scenarios
What it is and what it does
URLExtract is a Python library that finds URLs embedded in plain text by scanning for valid top-level domains (TLDs) and expanding outward to locate word boundaries. It works by locating any TLD occurrence in the input text, then searching left and right from that position until it hits a stop character like whitespace or punctuation. The library maintains an up-to-date TLD list downloaded from iana.org and can optionally validate extracted domains via DNS checks using uritools and idna for proper domain name handling.
The package provides three main extraction modes: `find_urls()` returns a list of all URLs found, `gen_urls()` yields URLs as a generator for memory efficiency, and `has_urls()` performs a quick boolean check. You can also manually update the TLD cache or set it to auto-update after a specified number of days. The library is aware of a known limitation: since some TLDs are also valid English words, it may produce false positives in contexts like CSS class selectors (e.g., detecting 'p.bold.name' as a domain).
Use it for
- Extract clickable links from user-generated text, chat messages, or social media posts for processing or display
- Scan HTML or text documents to identify and collect all URLs for link validation or archival purposes
- Pre-process raw text data before feeding it to NLP or machine learning pipelines that need URL detection
- Build web scrapers or crawlers that need to identify target URLs within fetched page content
- Validate or sanitize user input by detecting whether a text block contains any URLs
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need straightforward URL extraction from unstructured text.
The package is stable (Production/Stable status), has no known security vulnerabilities, and carries a permissive MIT license. Install friction is low. However, the last release was 897 days ago and maintenance is dormant—if you need active support or expect frequent TLD updates, verify that the cached list meets your requirements or plan to fork/maintain it yourself.
Install
urlextract on PyPI
Before you install
Low friction install with four lightweight runtime dependencies. Last release was 897 days ago; repository is not archived but marked dormant, indicating the package is stable but receives infrequent updates.
License in practice
MIT license is permissive—you can use, modify, and distribute this package freely in commercial and open-source projects with minimal restrictions.
Quickstart
pip install urlextract
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']Verify before relying
- Whether DNS validation via dnspython is included in the base install or requires separate setup
- Current accuracy of TLD list and how often it is refreshed from iana.org
- Performance characteristics on very large texts or high-volume extraction scenarios
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesidnauritoolsplatformdirsfilelock |
| Maintenance | Dormant 897 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,153,061 / month, #4,293 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTopic :: Text ProcessingTopic :: Text Processing :: Markup :: HTML |
Evidence: urlextract-1.9.0-py3-none-any.whl
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See also mozilla-repo-urls · tldextract · tld · tldparse · tlds · linkify-it-py · publicsuffix2 · query-string · textract · ldapdomaindump