Is Urlextract Safe?
Urlextract — Nerq Trust Score 69.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Urlextract is a Python package with a Nerq Trust Score of 69.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-07-22 Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Urlextract safe?
Trust Score Breakdown — Urlextract has a Nerq Trust Score of 69.5/100 (B-). Measured across 2 independent trust signals (as of 2026-07-22).
What is Urlextract's trust score?
Urlextract has a Nerq Trust Score of 69.5/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Urlextract?
Urlextract's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Urlextract and who maintains it?
| Author | Jan Lipovský |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Urlextract
What is Urlextract?
Urlextract is a Python package — Collects and extracts URLs from given text..
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=urlextract
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Urlextract has a Nerq Trust Score of 70/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Urlextract has a Trust Score of 70/100 (B-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.