YouTube API app FastAPI

In this video, we write a script that uses the FastAPI framework to create an API endpoint that fetches information about a YouTube video given its URL. The script uses the Google API Client Library for Python to interact with the YouTube Data API.

YouTube API app FastAPI
Photo by Google DeepMind / Unsplash

YouTube API integration web app with Python

Video summary

In this video, we write a script that uses the FastAPI framework to create an API endpoint that fetches information about a YouTube video given its URL. The script uses the Google API Client Library for Python to interact with the YouTube Data API.

First, the necessary libraries are imported: FastAPI from fastapi and build from googleapiclient.discovery.

The script then creates a FastAPI app object with app = FastAPI().

Next, the Google API key is stored in a variable called API_KEY.

The main function in this script is get_video(), which is the API endpoint that will be called when a client makes a request to the /video path. This function takes a url argument that is expected to be a valid YouTube video URL.

Within the get_video() function, the YouTube Data API is accessed by creating a build object with build('youtube', 'v3', developerKey=API_KEY). This object is used to fetch details about the video, including its title, description, view count, and category.

The video ID is extracted from the URL using the split() method on the url argument. The list() method is then called on the videos() resource of the build object to fetch information about the video with the given ID. The execute() method is called on this list() object to execute the API request and return a response object containing information about the video.

The response object is then parsed to extract the video's title, description, and view count. Another API request is made to fetch information about the video's category using the category_id obtained from the previous API call. The list() method is called on the videoCategories() resource of the build object, and the execute() method is called on this object to execute the API request and return a response object containing information about the video's category.

The response object is then parsed to extract the category name, which is returned as part of the API response object along with the video URL, title, description, and view count.

Finally, the script runs the FastAPI app using uvicorn.run(app).

The video demonstrates how to use FastAPI and the Google API Client Library to interact with third-party APIs and fetch data from them.

Ideas for how you could build on this script as a bigger project

Add more endpoints

The current script only has one endpoint that retrieves information about a YouTube video. You could add more endpoints to your FastAPI app to do things like search for videos, retrieve playlists, or get information about channels.

Add authentication

Currently, the script uses a hardcoded API key to authenticate with the YouTube Data API. In a real-world scenario, you would want to secure your API key and use OAuth 2.0 authentication to authenticate your users.

Add a database

To reduce the number of API calls you need to make and improve performance, you could add a database to store information about the videos that have been requested. This way, if the same video is requested multiple times, you can retrieve the information from the database rather than making a new API call.

Add error handling

Currently, the script assumes that everything will work perfectly and doesn't handle any errors that may occur. You could add error handling to your code to gracefully handle errors that may arise, such as if the API key is invalid or the video ID is not found.

Add testing

To ensure that your code works as expected and continues to work as you make changes, you could add unit tests and integration tests to your project. This can help you catch issues before they make it to production.

Add a front-end

While this script is designed to be used programmatically, you could build a front-end interface to make it more accessible to non-developers. This could be a web app or a desktop app that uses the FastAPI backend to retrieve information about YouTube videos.

What is the YouTube Data API v3?

The YouTube Data API v3 is a RESTful API that allows developers to interact with YouTube and access a wide range of data about YouTube videos, channels, and playlists. It provides a way for developers to programmatically retrieve and manage YouTube data, such as video details, comments, and ratings, as well as channel and user information.

With the YouTube Data API v3, developers can build applications and services that integrate with YouTube, such as video search engines, content management systems, and analytics tools. The API provides access to a variety of resources, such as videos, playlists, channels, comments, and subscriptions, and offers a range of features for querying and filtering the data.

To use the YouTube Data API v3, developers need to register their application with Google and obtain an API key. The API key is used to authenticate API requests and identify the application to Google. Once authenticated, developers can make HTTP requests to the API endpoint and receive JSON-formatted responses.

The YouTube Data API v3 offers a powerful and flexible way to interact with YouTube data, and has been used by a wide range of developers to build innovative applications and services that enhance the YouTube experience.

What is the Google API Python Client?

The Google API Python client is a library for accessing Google services like Google Drive, Google Calendar, and YouTube. It provides a simple way to interact with Google APIs using Python. The library handles the low-level details of communication with the Google APIs, so developers can focus on building their applications.

The Google API Python client includes tools for authentication, making requests, handling errors, and more. It is a powerful and flexible library that supports many different Google APIs and makes it easy to access the data and functionality of these services in Python.

In the video, the Google API Python client is used to make requests to the YouTube Data API v3. The build function from the googleapiclient.discovery module is used to create a Resource object that represents the YouTube API service. The build function takes the following parameters:

  • The name of the API service ('youtube' in this case)
  • The version of the API ('v3' in this case)
  • The developer API key that's required to access the API

Once the Resource object is created, it can be used to call various methods for fetching details of a YouTube video, such as the videos().list() method used in the script to fetch details of a specific video by its ID.

What is FastAPI?

FastAPI is a modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints. It is designed to be easy to use and to provide high performance, with features such as automatic data validation, automatic generation of OpenAPI and JSON Schema documentation, and asynchronous support using the standard Python async and await keywords. FastAPI is built on top of the Starlette framework, which provides a solid foundation of functionality and performance.