PyAniDL

<h1 align="center"> <img align="center" height="80px" width="80px" src="https://raw.githubusercontent.com/OTAKUWeBer/PyAniDL/main/assets/icon.png" alt="PyAniDL">PyAniDL </h1>

PyAniDL is a powerful tool for downloading anime from Gogoanime built on Python. It offers a range of features to ensure a smooth and efficient download experience.

<img align="center" src="https://raw.githubusercontent.com/OTAKUWeBer/PyAniDL/main/assets/ss1.jpg" alt="screenshot-1"> <img align="center" src="https://raw.githubusercontent.com/OTAKUWeBer/PyAniDL/main/assets/ss2.jpg" alt="screanshot-2">

Features

• Search Anime: Enter the name of the anime you're looking for on Anitaku and browse results.
• Download Directory Management: Automatically creates a directory for downloaded anime episodes if it doesn't exist.
• Concurrent Downloads: Download multiple episodes simultaneously to save time.
• Complete Season or Episode Range: Download a full season or select specific episodes (e.g., episodes 1-12).
• Resume Capability: Supports resuming interrupted downloads by utilizing HTTP Range requests.
• Download Progress: Displays a progress bar during downloads using tqdm for improved user experience.
• Video Quality Selection: Automatically selects the best available video quality (1080p) if the preferred quality (720p) is not available.

Prerequisites

• Python 3.7 or higher installed on your system.
• Required Python packages (aiohttp, beautifulsoup4, questionary, nest_asyncio, tqdm, termcolor) which can be installed via pip.

Installation

1. Clone the repository:

   git clone https://github.com/OTAKUWeBer/PyAniDL.git
   cd PyAniDL
   

2. Install dependencies:

   pip install -r requirements.txt
   

Usage

1. Run the script:

   python main.py
   

2. Follow the prompts:

   • Choose "1" to find an anime on Anitaku and follow the prompts to select an anime and view details.
   • Choose "2" to directly download episodes by providing a Gogoanime link.

3. Download episodes:

   • Specify the range and quality of episodes to download when prompted.

Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss your ideas.