LinkedIn Jobs Scraper

PassAudited by ClawScan on May 11, 2026.

Overview

This appears to be a straightforward LinkedIn job scraper, but it automates LinkedIn requests and users should understand the terms-of-service and IP-blocking risks before using it.

Before installing, confirm you are comfortable with automated LinkedIn scraping, possible ToS violations, and IP blocking. Run it in a virtual environment, keep request volume low, and review the full source if you require complete assurance.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

Low

#ASI02: Tool Misuse and Exploitation

What this means

Using the skill could violate LinkedIn's terms or cause LinkedIn to rate-limit or block the user's IP address.

Why it was flagged

The skill is explicitly designed to automate scraping of LinkedIn and discloses ToS and rate-limit/IP-blocking risks. This is purpose-aligned, but users should notice it before use.

Skill content

Legal: Scraping de dados públicos é legal nos EUA (hiQ v. LinkedIn, 2022), mas viola os ToS do LinkedIn ... LinkedIn pode bloquear o IP se houver excesso de requisições

Recommendation

Use only for lawful, permitted, low-volume job-search tasks; respect LinkedIn's rules and keep requests limited.

Info

#ASI04: Agentic Supply Chain Vulnerabilities

What this means

Installing unpinned packages may produce different dependency versions over time.

Why it was flagged

The setup documentation uses unpinned PyPI packages. This is a normal, user-directed dependency step for a Python scraper, but it leaves exact dependency versions to the user's environment.

Skill content

pip install requests beautifulsoup4

Recommendation

Install dependencies in a virtual environment and pin or review package versions if reproducibility or supply-chain assurance matters.

Info

#ASI04: Agentic Supply Chain Vulnerabilities

What this means

The reviewer cannot fully verify the omitted part of the source from the supplied artifact text alone.

Why it was flagged

The displayed scraper.py artifact is truncated in the provided review context, so the omitted portion cannot be independently inspected here. The visible portion is coherent and the static scan reports clean, so this is a review-limit note rather than a behavior concern.

Skill content

"truncated": true

Recommendation

Review the full scraper.py from a trusted source before running it if you need stronger assurance.