DanmuTools

Project Overview

DanmuTools is a desktop tool that fetches danmaku across multiple platforms, useful for video analysis, danmaku visualization, and comment research. It covers four major sites: iQiyi, Bilibili, Youku, and Tencent Video, parsing and fetching danmaku automatically once you paste a video link. Fetching runs on background threads so the interface stays responsive, and the results are exported as standard XML that Bilibili local players can use directly. It ships a graphical interface that keeps operation simple.

Four platforms' danmaku, fetched at once and saved as XML.

Key Features

• Multi-platform: covers iQiyi, Bilibili, Youku, and Tencent Video
• Link recognition: automatically detects video links and parses the matching danmaku data
• Live progress: shows real-time progress while fetching
• Standard export: exports danmaku as XML compatible with Bilibili local players
• Graphical interface: a PyQt5 desktop UI with no command line required
• Multithreaded fetching: fetching runs on background threads so the UI never freezes

Target Audience

• Researchers who download danmaku for analysis
• Developers working on danmaku visualization
• Users who want danmaku for a local player
• Users who need to organize comment data in bulk

Quick Start

1. Install Python 3.9 or newer, preferably in a virtual environment
2. Run pip install -r requirements.txt to install dependencies
3. Run python main.py to launch the graphical interface
4. Paste a video link and pick a platform (auto-detection is supported)
5. Set the save path and click "start download" to get an .xml file

Core Advantages

• Full platform coverage: one tool spans four major video platforms
• Ready to use: a graphical interface with no scripting needed
• Universal export: the XML works directly with Bilibili local players
• Responsive UI: multithreaded fetching keeps long tasks smooth

System Requirements

Item	Requirement
OS	Windows, macOS, Linux
Runtime	Python 3.9 and above
Dependencies	PyQt5 (installed via requirements.txt)

Notes

• This project is for study and research only; commercial use is prohibited
• Platform APIs may change, so some fetches may fail
• Please follow the target platforms' terms and policies