Google Tasks uses a REST API. The API:
/tasks/v1/lists/{tasklist}/tasks
/tasks/v1/lists/{tasklist}/tasks/{task}
The API allows managing tasks and task lists programmatically, providing operations to create, read, update, and delete tasks and task lists. Authentication is required to access the API, typically using OAuth 2.0. Client libraries are available in multiple languages to interact with the API.
Best practices include:
The Google Tasks API does not currently offer webhook or event subscription capabilities. Key points about the API include:
It provides REST endpoints for operations like searching, reading, and updating Google Tasks content and metadata.
The API's data model is based on resources and collections.
There is no built-in functionality for subscribing to real-time events or changes.
Developers would need to poll the API at regular intervals to check for updates or changes to tasks.
While webhook functionality is common in many modern APIs, it is not currently a feature of the official Google Tasks API. Developers should refer to the official documentation for the most up-to-date information on available features and capabilities.
Here are the key points about the API rate limits for the Google Tasks API:
The default limit is 6,000,000 requests per minute per Google Cloud project.
This limit can be increased by requesting a quota increase in the Google Cloud console.
Maximum number of queues: 1,000 queues per project per region
Queue dispatch rate: 500 tasks dispatched per second per queue
Maximum task size: 1 MB
Force run task requests: 60 requests per minute
List requests (list tasks, queues, locations): 600 requests per minute
If limits are exceeded, the API will return an HTTP 503 status code.
It's recommended to use exponential backoff when retrying failed requests.
The default number of results returned per page is 1000, with a maximum of 1000.
There is a courtesy limit of 50,000 queries per day, which can be increased by request.
Use multiple queues to achieve higher dispatch rates if needed.
Implement proper error handling and retries using exponential backoff.
Monitor your usage and request quota increases proactively if approaching limits.
Consider using parallel requests or multiple threads for time-sensitive operations.
The Google Tasks API has fairly generous limits compared to some other APIs, but it's important to design your application to handle rate limiting gracefully and scale appropriately as usage increases.
The most recent version of the Google Tasks API is v1.
Key points to consider:
The API allows developers to manage tasks and task lists. Some of the main operations supported include:
While the core API version remains v1, Google continues to add new features and capabilities to it through updates, as evidenced by the July 2024 release note. Developers should check the official documentation and release notes regularly for the latest information on new features and changes to the API.
Here's how you can get a developer account for Google Tasks to create an API integration:
Go to the Google Cloud Console [https://console.cloud.google.com/].
Create a new project or select an existing project.
Enable the Google Tasks API for your project:
Create credentials to access the API:
Download the client configuration file and add it to your Android project.
In your code, use the GoogleAccountCredential class to get OAuth 2.0 credentials:
GoogleAccountCredential credential = GoogleAccountCredential.usingOAuth2(context, TasksScopes.TASKS); credential.setSelectedAccountName(accountName); Tasks service = new Tasks.Builder(new NetHttpTransport(), new GsonFactory(), credential) .setApplicationName("Your App Name") .build();
Key points to consider:
Best practices:
Based on the search results provided, here are the key data models you can interact with using the Google Tasks API, along with what is possible for each:
Task Lists:
Tasks:
By utilizing these data models and their associated operations, developers can create applications that fully integrate with and manage Google Tasks, enabling features like task management, to-do list organization, and productivity tracking.