yt-details 0.1.3

Fast, efficient batch YouTube metadata fetching with Redis caching.

YouTube Details

A standalone, asynchronous Python library to efficiently fetch metadata from YouTube URLs. It supports batch fetching and individual video caching with Redis.

Features

• ⚡ Asynchronous: Built with httpx for high-performance async requests.
• 📦 Batch Fetching: Automatically batches requests (50 per call) to stay within API limits.
• 🚀 Redis Caching: Optional Redis support to cache metadata and reduce API costs.
• 🔗 Smart Extraction: Supports multiple YouTube URL formats (watch, shorts, embed, youtu.be).
• 🛠️ Lightweight: Minimal dependencies, easy to integrate.

Installation

pip install yt-details

To include Redis support:

pip install "yt-details[redis]"

Quick Start

Basic Usage

import asyncio
from yt_details import YouTubeService

async def main():
    service = YouTubeService(api_key="YOUR_API_KEY")
    
    # Fetch a single video
    details = await service.get_video_details("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
    print(f"Title: {details['title']}")

if __name__ == "__main__":
    asyncio.run(main())

With Redis Caching

import redis.asyncio as redis
from yt_details import YouTubeService

# Initialize async Redis client
redis_client = redis.from_url("redis://localhost:6379")

# Service will now cache results for 24 hours (86400 seconds)
service = YouTubeService(
    api_key="YOUR_API_KEY", 
    redis_client=redis_client,
    cache_ttl=86400
)

Batch Fetching

The service handles batching efficiently:

urls = [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "https://youtu.be/kJQP7kiw5Fk",
    # ... more URLs
]

results = await service.get_videos_details_batch(urls)
for url, data in results.items():
    if "error" not in data:
        print(f"{data['title']} - {data['views_formatted']} views")

License

MIT