youtube-pydantic-models 0.0.2

Work with Pydantic models when you are using YouTube API

youtube-pydantic-models

A Python library that contains the most popular YouTube models based on Pydantic. If you are working with the YouTube API, youtube-pydantic-models can help you validate, manipulate, and retrieve data.
The YouTube API returns data using camel case, but you can choose to return data using camel case or snake case. With the parameter by_alias=True, data is returned using camel case. When using the model, every parameter is accessed using snake case.

• Author: fedeegmz
• Source: GitHub

Features

• Validate YouTube API responses using Pydantic models
• Convert data between camel case and snake case
• Easy-to-use interface for common YouTube resources

Requirements

• Python 3.7+
• A YouTube Data API Key

Installation

You can install the library using pip:

pip install youtube-pydantic-models

Example usage

Channel Model

import requests
from youtube_pydantic_models import YoutubeChannelResource

params = {
    'id': "UC_x5XG1OV2P6uZZ5FSM9Ttw",
    'key': "YOUR_API_KEY",
    'part': "snippet, contentDetails"
}
response = requests.get(
    "https://www.googleapis.com/youtube/v3/channels",
    params=params
).json()

channel = YoutubeChannelResource(**response)
print(channel.id)
print(channel.snippet.custom_url)
channel_dict = channel.model_dump(
    by_alias=True,
    exclude_none=True
)

Playlist Model

import requests
from youtube_pydantic_models import YoutubePlaylistResource

params = {
    'channelId': "UC_x5XG1OV2P6uZZ5FSM9Ttw",
    'key': "YOUR_API_KEY",
    'part': "snippet, player"
}
response = requests.get(
    "https://www.googleapis.com/youtube/v3/playlists",
    params=params
).json()

playlist = YoutubePlaylistResource(**response)
print(playlist.snippet.channel_title)
print(playlist.player.embed_html)
playlist_dict = playlist.model_dump(
    by_alias=True,
    exclude_none=True
)

Video Model

import requests
from youtube_pydantic_models import YoutubeVideoResource

params = {
    'id': "PJm8WNajZtw",
    'key': "YOUR_API_KEY",
    'part': "statistics"
}
response = requests.get(
    "https://www.googleapis.com/youtube/v3/videos",
    params=params
).json()

video = YoutubeVideoResource(**response)
print(video.id)
print(video.statistics.view_count)
video_dict = video.model_dump(
    by_alias=True,
    exclude_none=True
)

Search Model

import requests
from youtube_pydantic_models import YoutubeSearchResource

params = {
    'channelId': "UC_x5XG1OV2P6uZZ5FSM9Ttw",
    'key': "YOUR_API_KEY",
    'part': "id, snippet"
}
response = requests.get(
    "https://www.googleapis.com/youtube/v3/search",
    params=params
).json()

resource = YoutubeSearchResource(**response)
print(resource.id.kind)
print(resource.snippet.thumbnails.default.url)
resource_dict = resource.model_dump(
    by_alias=True,
    exclude_none=True
)

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

License

This project is licensed under the MIT License.