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YouTube Video Metadata Fetcher

This Python script fetches detailed metadata for all videos in a YouTube channel, including video titles, thumbnails, view counts, like counts, and other stats. The metadata is saved into a metadata.json file for further use.

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Features

• Fetch video titles, descriptions, view count, like count, and more.
• Fetch high-quality thumbnails for each video.
• Fetch video duration and other useful metadata.
• Save all data into a structured metadata.json file.
• Handle large channels with pagination for video listings.

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Prerequisites

Before running the script, you will need the following:

1. Python 3.x installed on your machine.
2. YouTube Data API v3 key — Get an API key here.
3. Python packages: requests to make HTTP requests to the YouTube API.

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Installation

1. Clone the repository or download the script file:

git clone https://github.com/your-repo-name/YouTube-Video-Metadata.git

2. Install the required dependencies:

pip install requests

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Configuration

1. Open the fetch_metadata.py script.
2. Replace the following placeholders:
   • YOUR_API_KEY: Replace this with your YouTube Data API v3 key.
   • CHANNEL_ID: Replace this with the YouTube channel's unique ID. (You can find the channel ID in the URL, e.g., https://www.youtube.com/channel/CHANNEL_ID).

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Usage

1. Run the script: After configuring the script with your API key and channel ID, run it in your terminal:

   python fetch_metadata.py

2. What happens next:

   • The script will fetch the Uploads playlist of the given channel.
   • It will retrieve all video IDs in that playlist.
   • The script will then fetch detailed metadata for each video, including:
     • Video title
     • Video description
     • Published date
     • View count
     • Like count
     • Dislike count
     • Comment count
     • Video duration
     • Video thumbnail URL
   • All data will be saved in the metadata.json file.

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Output

The script saves the fetched metadata in a metadata.json file, structured like this:

[
    {
        "videoId": "abcd1234",
        "title": "Sample Video Title",
        "description": "This is the description of the video.",
        "publishedAt": "2023-05-01T12:34:56Z",
        "viewCount": 1500,
        "likeCount": 500,
        "dislikeCount": 10,
        "commentCount": 150,
        "duration": "PT15M30S",
        "thumbnail": "https://example.com/thumbnail.jpg"
    },
    ...
]

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Handling Pagination

If the channel has more than 50 videos, the script automatically handles pagination. It will continue fetching videos until all are retrieved.

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Contributing

Feel free to fork this project and submit pull requests. If you have any feature requests or bug fixes, please open an issue or create a pull request.

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License

This project is licensed under the MIT License – see the LICENSE file for details.

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Acknowledgments

• The script uses the YouTube Data API v3 to interact with YouTube and fetch video details.
• Thanks to the requests library for simplifying HTTP requests in Python.

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