Trakt SDKs & Libraries: Python, JavaScript, and More (2026)

SDKs overview

Trakt offers a RESTful API for developers to build applications that interact with its media tracking and discovery services. To facilitate this integration, a range of Software Development Kits (SDKs) and client libraries are available. These tools encapsulate the underlying HTTP requests and JSON parsing, allowing developers to focus on application logic rather than low-level API communication. The official Trakt API documentation details the available endpoints and data structures, which these SDKs leverage.

SDKs typically handle several key aspects of API interaction, including:

• Authentication: Managing OAuth 2.0 flows for user authorization and token refreshing. OAuth 2.0 is an industry-standard protocol for authorization, enabling secure delegated access to protected resources (OAuth 2.0 specification details).
• Request building: Constructing correct API request URLs, headers, and body payloads.
• Response parsing: Deserializing JSON responses into language-specific data structures.
• Error handling: Providing structured ways to manage API-specific errors and HTTP status codes.
• Rate limiting: Assisting in managing the rate limits imposed by the Trakt API per IP and per user.

While Trakt does not maintain a large suite of official SDKs directly, it supports and highlights community-contributed libraries. These libraries often become de facto standards within their respective language communities due to their active maintenance and feature completeness. Developers are encouraged to consult the official Trakt SDKs and Libraries page for the most up-to-date list and recommendations.

Official SDKs by language

As of 2026, Trakt primarily focuses on providing comprehensive API documentation and supporting community-driven development of client libraries. While a dedicated, actively maintained "official" SDK for every major language is not provided by Trakt directly, the community has developed robust libraries for popular languages. These community libraries are often highlighted and recommended by Trakt, acting as the primary integration points for developers. The table below lists some of the most prominent and widely used community libraries that function as de facto official SDKs due to their prevalence and recommendation status.

Installation

Installation procedures for Trakt SDKs and libraries largely follow the standard practices of their respective programming language ecosystems. Developers typically use package managers to add these libraries to their projects. Below are common installation methods for the libraries listed previously.

Python (pytrakt)

For Python projects, pytrakt is installed using pip, the Python package installer. It's recommended to install it within a virtual environment to manage dependencies effectively.

pip install pytrakt

Alternatively, if you need the latest development version directly from its source repository, you might install it using:

pip install git+https://github.com/moogar0880/pytrakt.git

JavaScript/Node.js (trakt.tv-api)

For Node.js applications, npm (Node Package Manager) is used to install trakt.tv-api. This command adds the package to your project's node_modules directory and updates your package.json file.

npm install trakt.tv-api

If you prefer using Yarn:

yarn add trakt.tv-api

PHP (trakt-php)

PHP projects typically use Composer for dependency management. To install trakt-php, navigate to your project root and run:

composer require philo/trakt-php

This command will download the library and its dependencies, and generate an autoloader file.

C#/.NET (TraktApiSharp)

For .NET projects, NuGet is the standard package manager. You can install TraktApiSharp using the Package Manager Console in Visual Studio:

Install-Package TraktApiSharp

Alternatively, you can use the .NET CLI:

dotnet add package TraktApiSharp

Quickstart example

Below is a quickstart example demonstrating how to use the pytrakt library in Python to authenticate and retrieve a user's movie watchlist. This example assumes you have already obtained your Trakt API client ID and client secret, and have set up a redirect URI for OAuth authentication.

import trakt
from trakt.users import User

# Configure Trakt API credentials
# Replace with your actual client ID, client secret, and redirect URI
trakt.api.CLIENT_ID = "YOUR_CLIENT_ID"
trakt.api.CLIENT_SECRET = "YOUR_CLIENT_SECRET"
trakt.api.REDIRECT_URI = "urn:ietf:wg:oauth:2.0:oob" # Or your specific redirect URI

# Step 1: Get the authorization URL
# The user needs to visit this URL in their browser to grant access
auth_url = trakt.api.get_url()
print(f"Please visit this URL to authorize your application: {auth_url}")

# Step 2: User grants access and provides the authorization code
# This code is typically displayed in the browser after successful authorization
authorization_code = input("Enter the authorization code from the browser: ")

# Step 3: Exchange the authorization code for an access token
trakt.api.get_token(authorization_code)
print("Authentication successful!")

# Step 4: Retrieve the user's movie watchlist
# This assumes the user has granted access to their watchlist data
current_user = User('me') # 'me' refers to the authenticated user

try:
    watchlist_movies = current_user.watchlist_movies
    print("\nYour Movie Watchlist:")
    if watchlist_movies:
        for movie in watchlist_movies:
            print(f"- {movie.title} ({movie.year})")
    else:
        print("No movies found in your watchlist.")

except Exception as e:
    print(f"An error occurred while fetching watchlist: {e}")

# You can also fetch other user data, e.g., watched movies
# watched_movies = current_user.watched_movies
# print(f"\nTotal watched movies: {len(watched_movies)}")

This example demonstrates the basic flow:

1. Configuration: Setting up the API credentials.
2. Authorization URL: Generating and presenting the URL for the user to grant access.
3. Authorization Code: Capturing the code provided by Trakt after user authorization.
4. Token Exchange: Swapping the authorization code for an access token, which is then used for subsequent API calls.
5. Data Retrieval: Using the authenticated session to fetch specific user data, such as a movie watchlist.

For production applications, it's crucial to securely store client secrets and access tokens. The OAuth 2.0 Authorization Code Grant flow, as used here, is a common and secure method for web and mobile applications (RFC 6749 Section 4.1).

Community libraries

The Trakt developer community has contributed a variety of libraries for different programming languages and platforms, extending beyond the most commonly used ones. These libraries often address specific use cases or integrate Trakt functionality into particular frameworks.

Developers seeking libraries for languages not listed in the official table or for niche requirements should consult the Trakt API documentation's SDKs and Libraries section. This page often includes links to community-maintained repositories on platforms like GitHub, where developers can find:

• Alternative Python clients: Beyond pytrakt, other Python libraries might exist with different design philosophies or feature sets.
• Mobile-specific SDKs: Libraries tailored for iOS (Swift/Objective-C) or Android (Java/Kotlin) development.
• Frontend JavaScript libraries: For direct integration into browser-based applications, often handling CORS and client-side OAuth flows.
• Language-specific wrappers: For languages such as Ruby, Go, Rust, or others, providing idiomatic interfaces to the Trakt API.

When selecting a community library, it is advisable to consider:

• Active maintenance: Check commit history, issue tracker activity, and last release date.
• Documentation: Ensure the library has clear and comprehensive usage instructions.
• Community support: Look for an active community (e.g., GitHub issues, forums) for assistance.
• API version compatibility: Verify that the library supports the latest Trakt API version to access all features and avoid deprecation issues.
• License: Understand the licensing terms (e.g., MIT, Apache 2.0) for using the library in your project.

Leveraging community-driven resources can accelerate development, but due diligence is important to ensure the chosen library aligns with project requirements and quality standards. The Trakt API documentation remains the authoritative source for API specifications, regardless of the client library used.