Metadata-Version: 2.4
Name: esfaryt
Version: 0.0.5
Summary: Advanced and modern Python toolkit for interacting with the official YouTube Data API v3.
Author: Esfar
Author-email: support@esfaryt.dev
License: MIT
Project-URL: Instagram, https://www.instagram.com/fatti.ozzz/
Keywords: youtube,youtube api,youtube data api,youtube data api v3,youtube wrapper,youtube python,video search,youtube search,youtube metadata,youtube tools,youtube library,youtube sdk,python api,api wrapper,media api,video platform,content platform,creator tools,automation,discord bot,youtube analytics,youtube integration,youtube package,video tools,search engine,python youtube toolkit,youtube development,api toolkit,youtube utilities,youtube backend,youtube fetcher,youtube client
Platform: Windows
Platform: Linux
Platform: MacOS
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: Topic :: Internet
Classifier: Topic :: Multimedia
Classifier: Topic :: Multimedia :: Video
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Classifier: Environment :: Console
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests>=2.31.0
Provides-Extra: dev
Requires-Dist: build; extra == "dev"
Requires-Dist: wheel; extra == "dev"
Requires-Dist: twine; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
Dynamic: license
Dynamic: license-file
Dynamic: platform
Dynamic: project-url
Dynamic: provides-extra
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Dynamic: summary

# esfaryt

esfaryt is a modern, powerful, scalable, and developer-oriented Python package built for interacting with the official YouTube Data API v3 in a clean, efficient, and beginner-friendly way. The project is designed to simplify YouTube API integration for developers who want fast access to YouTube platform data without writing repetitive boilerplate code or manually handling raw API requests and responses.

The package provides an organized and lightweight interface for searching videos, retrieving channel information, accessing metadata, handling playlists, exploring YouTube content, and integrating YouTube features into applications of any scale. esfaryt focuses on simplicity, readability, maintainability, and modern Python development practices while still remaining flexible for advanced use cases and large-scale systems.

Unlike traditional API wrappers that expose complicated structures and unnecessary complexity, esfaryt aims to provide a straightforward and understandable experience for developers of all skill levels. Whether building a Discord bot, analytics platform, creator utility, educational tool, media application, or automation system, esfaryt provides a fast and scalable foundation for development.

---

# Features

- Fast YouTube video searching
- Lightweight and optimized architecture
- Clean and beginner-friendly syntax
- Official YouTube Data API v3 integration
- Simple API key setup
- Structured and readable responses
- Modern Python compatibility
- Easy integration into existing applications
- Expandable package structure
- Optimized request handling
- Scalable development workflow
- Support for educational and production use
- CLI-ready architecture
- Flexible implementation style
- Organized module system
- Reliable API communication
- Clean developer experience

---

# Installation

Install directly from PyPI:

```bash
pip install esfaryt
```

Upgrade to the latest version:

```bash
pip install --upgrade esfaryt
```

---

# Quick Start

```python
from esfaryt import YouTube

yt = YouTube("YOUR_API_KEY")

results = yt.search("Minecraft")

print(results)
```

---

# Example Output

```python
[
    {
        "title": "Minecraft Trailer",
        "channel": "Minecraft",
        "video_id": "abcd1234",
        "url": "https://youtube.com/watch?v=abcd1234"
    }
]
```

---

# Why esfaryt

Working directly with APIs can often require repetitive request formatting, manual response parsing, endpoint management, and unnecessary setup complexity. esfaryt was created to reduce that complexity and provide developers with a cleaner and more productive workflow.

The package is designed to help developers focus more on building applications and less on handling low-level API communication logic.

esfaryt prioritizes:

- Clean architecture
- Developer productivity
- Lightweight performance
- Readable implementation
- Modern Python standards
- Future scalability
- Simplicity without sacrificing flexibility

---

# Supported Use Cases

esfaryt can be used for many different types of projects including:

- Discord bots
- Telegram bots
- Web applications
- Flask projects
- Django projects
- FastAPI services
- Automation systems
- Analytics dashboards
- Creator tools
- Educational software
- Media utilities
- Video search systems
- Content discovery tools
- AI-assisted applications
- Desktop applications
- Research projects
- Backend systems
- API learning projects
- Personal experiments
- Open-source software

---

# Future Development Plans

Future versions of esfaryt may include:

- Async support
- Playlist management
- Trending video retrieval
- Channel analytics
- Advanced filtering
- CLI utilities
- Enhanced metadata extraction
- Caching systems
- OAuth authentication
- Rate limit handling
- Multi-language support
- Better error handling
- Streaming integrations
- Extended API modules
- Developer utilities

---

# Project Philosophy

esfaryt is built around the idea that API development should be simple, understandable, and efficient. The package is intentionally designed to remain lightweight while still offering practical functionality for real-world development.

The project structure encourages:

- Simplicity
- Maintainability
- Scalability
- Readability
- Performance
- Community contribution
- Rapid development

---

# License

This project is licensed under the MIT License.

You are free to use, modify, distribute, and integrate the package into personal or commercial projects according to the terms of the license.

---

# Disclaimer

esfaryt is an independent open-source project and is not affiliated with, endorsed by, sponsored by, or officially connected to YouTube, Google, or Alphabet Inc.

All trademarks, product names, company names, and logos belong to their respective owners.

The package uses the official YouTube Data API v3 provided by Google. Users are responsible for following Google's API Terms of Service, quota limitations, and usage policies while using this software.

esfaryt does not bypass security systems, interfere with YouTube infrastructure, exploit private endpoints, or perform unauthorized actions.

---

# Developer

Created and maintained by Esfar.

Instagram:
https://www.instagram.com/fatti.ozzz/

---

# Contributing

Community contributions, suggestions, improvements, and feedback are welcome. Future improvements and feature expansions may continue to improve the package and extend functionality for developers worldwide.

---

# Built With

- Python
- Requests
- YouTube Data API v3

---

# Package Goals

The long-term goal of esfaryt is to become a reliable, scalable, and modern toolkit for YouTube-related Python development while remaining simple enough for beginners and powerful enough for advanced developers.

The package is continuously structured with future scalability and maintainability in mind.
