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 Evil0ctal · MCP Server · ★ 20.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Douyin_TikTok_Download_API safe to install? View the security audit →
DouyinTikTokDownloadAPI English | 简体中文 🚀 A self-hosted data API for Douyin and TikTok. One , an identity pool that maintains itself, and a REST API, MCP server and web console on top. Open source, free, and it runs on your own machine — no signup, no quota, nobody else in the path. It fetches posts, authors, comments and search, downloads video and image albums without a watermark (it picks the clean stream the platform already publishes rather than stripping anything), and keeps what it collects in your own PostgreSQL.
| Stars | 20,433 |
| Forks | 2,837 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.2836437138134/100 |
| Last Updated | 2026-10-02 |
| Created | 2021-11-07 |
| Platforms | browser, cli, docker, mcp, python |
| Est. Tokens | ~20k |
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Douyin_TikTok_Download_API is 🚀 抖音、TikTok 数据采集与无水印视频下载 API，自托管，支持 MCP 调用与 Docker 一键部署。| Self-hosted TikTok & Douyin scraper and no-watermark video downloader — async REST API, MCP server, CLI and web console for posts, profiles, . It is categorized as a MCP Server with 20.4k GitHub stars.
Douyin_TikTok_Download_API is primarily written in Python. It covers topics such as asyncio, crawler, data-collection.
You can find installation instructions and usage details in the Douyin_TikTok_Download_API GitHub repository at github.com/Evil0ctal/Douyin_TikTok_Download_API. The project has 20.4k stars and 2837 forks, indicating an active community.
Douyin_TikTok_Download_API is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Douyin_TikTok_Download_API on Agent Skills Hub include omniget, firecrawl-mcp-server, Scrapling. 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: