evil0ctal/douyin_tiktok_download_api

🚀「Douyin_TikTok_Download_API」是一个开箱即用的高性能异步抖音、快手、TikTok、Bilibili数据爬取工具,支持API调用,在线批量解析及下载。

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 21 minutes ago
Added to GitGenius on September 2nd, 2026
Created on November 7th, 2021
Open Issues & Pull Requests: 153 (+0)
GitHub issues: Enabled
Number of forks: 2,765
Total Stargazers: 19,925 (+1)
Total Subscribers: 110 (+0)

Repository Insights (GitGenius)

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

No overlapping-contributor repos identified yet.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

Douyin_TikTok_Download_API is a web scraping tool that fetches and downloads video data from Douyin, TikTok, Bilibili, and Kuaishou.

The tool addresses the need to extract metadata and video content from short-form video platforms without watermarks. It works through asynchronous scraping that can be invoked via API calls or through an online batch parsing interface. The architecture supports both programmatic integration and direct web-based usage for parsing and downloading content.

Developers should adopt this tool if they need to build applications that aggregate or analyze video content from Chinese and international short-form platforms. It suits projects requiring bulk data extraction, content analysis pipelines, or video archival systems. The tool is ready to deploy out of the box and offers both API endpoints and a web interface, making it accessible whether you prefer code-level integration or browser-based interaction.

The project maintains active development with regular updates to handle platform changes. The codebase shows ongoing refinement of scraping logic to adapt to evolving platform protections. Documentation includes deployment guidance for private server setups, Docker containerization, and automated installation scripts, indicating sustained attention to operational usability.