Is Crawl4Ai Safe?
Crawl4Ai — Nerq Trust Score 60.0/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Crawl4Ai is a npm package with a Nerq Trust Score of 60.0/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Crawl4Ai safe?
Trust Score Breakdown — Crawl4Ai has a Nerq Trust Score of 60.0/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Crawl4Ai's trust score?
Crawl4Ai has a Nerq Trust Score of 60.0/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Crawl4Ai?
Crawl4Ai's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Crawl4Ai and who maintains it?
| Author | pyronaur |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Crawl4Ai
What is Crawl4Ai?
Crawl4Ai is a Node.js package — TypeScript SDK for Crawl4AI REST API - Bun & Node.js compatible.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=crawl4ai
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Crawl4Ai has a Nerq Trust Score of 60/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Crawl4Ai has a Trust Score of 60/100 (C+).
- 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.