Kaggle

API

API for accessing Kaggle datasets, notebooks, competitions, and community features

Overview

The Kaggle API enables programmatic access to Kaggle’s platform, with endpoints for datasets (download, upload, search), notebooks (create, run, share), competitions (submit entries, view leaderboards), and user profiles. It uses JSON responses and requires API key authentication. Use cases include automating data pipeline workflows, integrating Kaggle data into ML projects, running notebooks via CI/CD, and participating in competitions programmatically, streamlining data science processes for developers and researchers.

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 Responses
API Key Authentication
Dataset Management
Notebook Integration
Competition Submissions

Frequently Asked Questions

? Is Kaggle API free to use?

Basic access (public datasets, notebooks) is free, but premium datasets or subscription features may require payment.

? Does it require an API Key?

Yes—users must generate an API key from their Kaggle account settings to authenticate all requests.

? What is the response format?

Most API responses are in JSON format, which is easy to parse and integrate into data science workflows.

Top Alternatives

Data.world API Search Google

CKAN API Search Google

OpenML API Search Google

Tool Info

Pricing Freemium

Category Open Data

Platform Public API

Pros

⊕ Access to millions of public datasets
⊕ Automate notebook workflows
⊕ Seamless competition participation
⊕ Well-documented endpoints

Cons

⊖ Rate-limited requests
⊖ Premium datasets require subscription
⊖ No anonymous access (API key mandatory)