feat: Introduced YouTube bundle with essential components

[raphaelchristi]

Description

This pull request introduces a set of components for YouTube integration, enabling the retrieval and analysis of video data, channels, playlists, comments, trending content, searches, and transcriptions. These components leverage the YouTube API to provide robust and configurable functionalities.

Components

1. YouTube Channel Component

Retrieves detailed information about YouTube channels, including:

• Channel statistics
• Branding settings
• Public playlists
• Requires YouTube API key

2. YouTube Comments Component

Retrieves and analyzes YouTube video comments, featuring:

• Comment threads
• Reply chains
• Engagement metrics
• Requires YouTube API key

3. YouTube Video Details Component

Provides comprehensive video information, including:

• Video statistics
• Content details
• Tags and thumbnails
• Requires YouTube API key

4. YouTube Playlist Component

Retrieves and analyzes playlist information:

• Video details within playlists
• Playlist statistics
• Playlist metadata
• Requires YouTube API key

5. YouTube Trending Component

Retrieves trending YouTube videos:

• Filtering by region
• Category filtering
• Trending metrics
• Requires YouTube API key

6. YouTube Search Component

Performs YouTube searches and returns video data:

• Search results processing
• Filter options
• Result pagination
• Requires YouTube API key

7. YouTube Transcripts Component

Extracts spoken content from YouTube videos:

• Multiple format options
• Translation capabilities
• Timestamp alignment
• No API key required

Technical Notes

• All components except the Transcripts Component require a YouTube API key
• Features are configurable through various input parameters to meet user requirements
• Components are designed for seamless integration into existing workflows
• All components provide structured data output for easy analysis
• Integration supports error handling and rate limiting considerations

This implementation provides valuable insights and data extraction capabilities while maintaining a clean and modular architecture.