## Tube-Data: YouTube Video Transcript Extractor
Tube-Data is a Python script designed for extracting and cleaning YouTube video transcripts for preprocessing in machine learning. This versatile tool streamlines the process of acquiring high-quality text data from YouTube videos, making it ideal for various natural language processing tasks, sentiment analysis, speech recognition, and more.
## Features
- Extracts video transcripts from YouTube videos.
- Cleans transcripts by removing unwanted elements like music and applause.
- Saves cleaned transcripts into separate text files.
- Supports individual video URLs, batch processing from a list of URLs, and entire playlists.
- Streamlines the dataset collection process for machine learning applications.
## Installation
You can install the required dependencies using `pip`:
```bash
pip install youtube-transcript-api requests pytube regex
```
## Usage
### Extract Transcripts from a List of Video URLs
```python
from tube_data import text_link
# Provide a path to a text file containing YouTube video URLs.
text_link('path_to_file.txt', name='output_folder_name')
```
### Extract Transcript from a Single Video URL
```python
from tube_data import url_grab
# Provide a single YouTube video URL.
url_grab('video_url', name='output_folder_name')
```
### Extract Transcripts from a YouTube Playlist
```python
from tube_data import playlist_grab
# Provide the URL of a YouTube playlist.
playlist_grab('playlist_url', name='output_folder_name')
```
### Convert Playlist Video Links to Text File
```python
from tube_data import play2text
# Provide the URL of a YouTube playlist.
play2text('playlist_url')
```
## Development Status
This project is currently in the planning stage.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Contributions
Contributions are welcome! Please feel free to open issues or submit pull requests.
## Contact
For any inquiries or feedback, please contact [KabilPreethamK](mailto:kabilpreethamk@gmail.com).
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"description": "\n\n## Tube-Data: YouTube Video Transcript Extractor\n\nTube-Data is a Python script designed for extracting and cleaning YouTube video transcripts for preprocessing in machine learning. This versatile tool streamlines the process of acquiring high-quality text data from YouTube videos, making it ideal for various natural language processing tasks, sentiment analysis, speech recognition, and more.\n\n## Features\n\n- Extracts video transcripts from YouTube videos.\n- Cleans transcripts by removing unwanted elements like music and applause.\n- Saves cleaned transcripts into separate text files.\n- Supports individual video URLs, batch processing from a list of URLs, and entire playlists.\n- Streamlines the dataset collection process for machine learning applications.\n\n## Installation\n\nYou can install the required dependencies using `pip`:\n\n```bash\npip install youtube-transcript-api requests pytube regex\n```\n\n## Usage\n\n### Extract Transcripts from a List of Video URLs\n\n```python\nfrom tube_data import text_link\n\n# Provide a path to a text file containing YouTube video URLs.\ntext_link('path_to_file.txt', name='output_folder_name')\n```\n\n### Extract Transcript from a Single Video URL\n\n```python\nfrom tube_data import url_grab\n\n# Provide a single YouTube video URL.\nurl_grab('video_url', name='output_folder_name')\n```\n\n### Extract Transcripts from a YouTube Playlist\n\n```python\nfrom tube_data import playlist_grab\n\n# Provide the URL of a YouTube playlist.\nplaylist_grab('playlist_url', name='output_folder_name')\n```\n\n### Convert Playlist Video Links to Text File\n\n```python\nfrom tube_data import play2text\n\n# Provide the URL of a YouTube playlist.\nplay2text('playlist_url')\n```\n\n## Development Status\n\nThis project is currently in the planning stage.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Contributions\n\nContributions are welcome! Please feel free to open issues or submit pull requests.\n\n## Contact\n\nFor any inquiries or feedback, please contact [KabilPreethamK](mailto:kabilpreethamk@gmail.com).\n\n",
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