What is quizlet-terms-api?

48/100
Trust Score (D)
⚠️ Use Caution

quizlet-terms-api is a npm that Most of the Quizlet Packages on NPM don't really work. But this one 100% does so be sure to download this one! An API that scrapes Quizlet Study Sets and returns Study Set terms and definitions. Great. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by sidharth_ponram. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS

What quizlet-terms-api Does

quizlet-terms-api is a npm in the npm category. Most of the Quizlet Packages on NPM don't really work. But this one 100% does so be sure to download this one! An API that scrapes Quizlet Study Sets and returns Study Set terms and definitions. Great for high scale educational applications!. It is published by sidharth_ponram and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use quizlet-terms-api

quizlet-terms-api is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorsidharth_ponram
Categorynpm
LicenseNot specified
Typenpm
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=quizlet-terms-api

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is quizlet-terms-api used for?
quizlet-terms-api is a npm tool. Most of the Quizlet Packages on NPM don't really work. But this one 100% does so be sure to download this one! An API that scrapes Quizlet Study Sets and returns Study Set terms and definitions. Great.
Is quizlet-terms-api free?
License: Check project page. quizlet-terms-api has 0 GitHub stars.
Is quizlet-terms-api safe?
quizlet-terms-api has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to quizlet-terms-api?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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