FBScrapeIdeas: Modern CLI tool for scraping & analyzing Facebook groups using Playwright & Gemini AI

by MasuRii · Agent Tool · ★ 73

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install FBScrapeIdeas

git clone https://github.com/MasuRii/FBScrapeIdeas.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

academic-researchaiclidata-extractiondata-miningfacebook-scrapergemini-apiidea-generationnlppython

Quick Facts

Stars73
Forks15
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Last Updated2025-12-30
Created2025-05-25
Platformscli, gemini, python
Est. Tokens~80k

About FBScrapeIdeas

FB Scrape Ideas [![Python Version][python-shield]][python-url] [![License][license-shield]][license-url] [![Issues][issues-shield]][issues-url] [![Forks][forks-shield]][forks-url] [![Stars][stars-shield]][stars-url] [![Contributors][contributors-shield]][contributors-url] A CLI-driven application to scrape and analyze Facebook group posts for insights using Selenium and Google Gemini AI.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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