What is scraping-comments?

48/100
Trust Score (D)
⚠️ Use Caution

scraping-comments is a npm that O [scraping](https://pt.wikipedia.org/wiki/Scraping) é uma tecnica de extrair dados de uma página web. Neste projeto iremos fazer uma busca no instagram e extrair os comentaários da página e verificar. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by lexluthordev. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
0
STARS
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DOWNLOADS

What scraping-comments Does

scraping-comments is a npm in the npm category. O [scraping](https://pt.wikipedia.org/wiki/Scraping) é uma tecnica de extrair dados de uma página web. Neste projeto iremos fazer uma busca no instagram e extrair os comentaários da página e verificar se o usurio realizou a tarefa de comentar.. It is published by lexluthordev and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use scraping-comments

scraping-comments is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorlexluthordev
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=scraping-comments

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

Frequently Asked Questions

What is scraping-comments used for?
scraping-comments is a npm tool. O [scraping](https://pt.wikipedia.org/wiki/Scraping) é uma tecnica de extrair dados de uma página web. Neste projeto iremos fazer uma busca no instagram e extrair os comentaários da página e verificar.
Is scraping-comments free?
License: Check project page. scraping-comments has 0 GitHub stars.
Is scraping-comments safe?
scraping-comments has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to scraping-comments?
Top alternatives: . See full comparison.

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

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