No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by D4Vinci · MCP Server · ★ 83.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Scrapling safe to install? View the security audit →
Effortless Web Scraping for the Modern Web العربيه Русский <a href="https://github.com/D4Vinci/Scrapling/action
| Stars | 83,218 |
| Forks | 8,495 |
| Language | Python |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 61.1836356075294/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-23 |
| Created | 2024-10-13 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~20k |
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Scrapling is 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tr. It is categorized as a MCP Server with 83.2k GitHub stars.
Scrapling is primarily written in Python. It covers topics such as ai, ai-scraping, automation.
You can find installation instructions and usage details in the Scrapling GitHub repository at github.com/D4Vinci/Scrapling. The project has 83.2k stars and 8495 forks, indicating an active community.
Scrapling is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to Scrapling on Agent Skills Hub include gpt-researcher, stagehand, n8n. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: