llm-scraper vs ydata-profiling — Trust Score Comparison

Side-by-side trust comparison of llm-scraper and ydata-profiling. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.

llm-scraper scores 69.2/100 (B-) while ydata-profiling scores 69.2/100 (B-) on the Nerq Trust Score. The two agents are essentially tied on overall trust. llm-scraper is a data agent with 6,190 stars. ydata-profiling is a data agent with 13,386 stars.
69.2
B-
Categorydata
Stars6,190
Sourcegithub
Security0
Compliance100
Maintenance1
Documentation0
vs
69.2
B-
Categorydata
Stars13,386
Sourcegithub
Security0
Compliance92
Maintenance1
Documentation0

Detailed Metric Comparison

Metric llm-scraper ydata-profiling
Trust Score69.2/10069.2/100
GradeB-B-
Stars6,19013,386
Categorydatadata
Security00
Compliance10092
Maintenance11
Documentation00
EU AI Act Riskminimalhigh
VerifiedNoNo

Verdict

llm-scraper (69.2) and ydata-profiling (69.2) have nearly identical trust scores. Both are solid choices. The decision should come down to your specific use case, team preferences, and integration requirements rather than trust differences.

Detailed Analysis

Security

llm-scraper leads on security with a score of 0/100 compared to ydata-profiling's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.

Maintenance & Activity

llm-scraper demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.

Documentation

llm-scraper has better documentation (0/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.

Community & Adoption

llm-scraper has 6,190 GitHub stars while ydata-profiling has 13,386. ydata-profiling has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.

When to Choose Each Tool

Choose llm-scraper if you need:

  • Consider if it better fits your specific use case

Choose ydata-profiling if you need:

  • Larger community (13,386 vs 6,190 stars)

Switching from llm-scraper to ydata-profiling (or vice versa)

When migrating between llm-scraper and ydata-profiling, consider these factors:

  1. API Compatibility: llm-scraper (data) and ydata-profiling (data) share similar interfaces since they are in the same category.
  2. Security Review: Run a security audit after migration. Check the llm-scraper safety report and ydata-profiling safety report for known issues.
  3. Testing: Ensure your test suite covers all integration points before switching in production.
  4. Community Support: llm-scraper has 6,190 stars and ydata-profiling has 13,386. Larger communities typically mean better Stack Overflow answers and migration guides.
llm-scraper Safety Report ydata-profiling Safety Report llm-scraper Alternatives ydata-profiling Alternatives

Related Pages

Frequently Asked Questions

Which is safer, llm-scraper or ydata-profiling?
Based on Nerq's independent trust assessment, llm-scraper has a trust score of 69.2/100 (B-) while ydata-profiling scores 69.2/100 (B-). Both agents are very close in overall trust. Trust scores are based on security, compliance, maintenance, documentation, and community adoption.
How do llm-scraper and ydata-profiling compare on security?
llm-scraper has a security score of 0/100 and ydata-profiling scores 0/100. Both have comparable security profiles. llm-scraper's compliance score is 100/100 (EU risk: minimal), while ydata-profiling's is 92/100 (EU risk: high).
Should I use llm-scraper or ydata-profiling?
The choice depends on your requirements. llm-scraper (data, 6,190 stars) and ydata-profiling (data, 13,386 stars) serve similar use cases. On trust, llm-scraper scores 69.2/100 and ydata-profiling scores 69.2/100. Review the full KYA reports for each agent before making a decision. Consider factors like integration requirements, documentation quality (0 vs 0), and maintenance activity (1 vs 1).

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Last updated: 2026-05-03 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

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