Kaggle API

API

API for accessing Kaggle datasets, notebooks, and community features

Overview

The Kaggle API offers RESTful endpoints to interact with datasets (list, search, download), notebooks (create, run, share), competitions (submit entries), and user profiles. Responses are primarily JSON-formatted. Use cases include automating dataset downloads for machine learning projects, scripting notebook execution for reproducible analysis, integrating Kaggle data into ETL pipelines, programmatically submitting competition solutions, and fetching community metrics like dataset popularity or user rankings for research.

Example Integration (JavaScript)

script.js JS


fetch('https://www.kaggle.com/docs/api')
  .then(res => res.json())
  .then(data => console.log(data))
  .catch(err => console.error(err));

Key Features

RESTful
JSON support
API key authentication
Dataset download automation
Notebook management
Competition submission

Frequently Asked Questions

? Is Kaggle API free to use?

Yes, the Kaggle API is free for most operations, though some datasets may have licensing restrictions.

? Does it require an API Key?

Yes, authentication is mandatory via an API key obtained from your Kaggle account settings.

? What is the response format?

Most endpoints return JSON responses; dataset downloads are available in binary or structured formats like CSV.

Top Alternatives

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Tool Info

Pricing Free

Category Open Data

Platform Public API

Pros

⊕ Easy Python client integration
⊕ Access to millions of datasets
⊕ Supports ML workflow automation
⊕ Comprehensive documentation

Cons

⊖ Rate limits apply
⊖ Requires API key authentication
⊖ Limited real-time data support
⊖ No SLA for free users