# Kaggle Search

## Overview

| Property | Value |
|----------|-------|
| **Status** | private |
| **Method** | `GET` |
| **Endpoint** | `/v2/kaggle/search` |
| **Base URL** | `https://api.piloterr.com` |
| **Credit Cost** | 1 credit per call |
| **Documentation** | https://www.piloterr.com/library/kaggle-search |

## Description

Unlock vast Kaggle datasets with our API for superior data analysis and AI model development.

## Authentication

- **Key Name:** `x-api-key`
- **Location:** HTTP Header
- **Get an API key:** https://app.piloterr.com/register

## Example Request

```bash
curl --location --request GET 'https://api.piloterr.com/v2/kaggle/search' \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: YOUR_API_KEY'
```

## Example Response

### Example

```json
{
  "query": "data",
  "results": [
    {
      "title": "Titanic - Machine Learning from Disaster",
      "author": "Raoul_Gabriel_Urma",
      "datasets": 97,
      "notebooks": 3435,
      "discussion": 1257,
      "description": "Start here! Predict survival on the Titanic and get familiar with ML basics",
      "competitions": 1
    },
    {
      "title": "House Prices - Advanced Regression Techniques",
      "author": "Raoul_Gabriel_Urma",
      "datasets": 86,
      "notebooks": 2001,
      "discussion": 481,
      "description": "Predict sales prices and practice feature engineering, RFs, and gradient boosting",
      "competitions": 1
    },
    {
      "title": "Digit Recognizer",
      "author": "Raoul_Gabriel_Urma",
      "datasets": 15,
      "notebooks": 2807,
      "discussion": 502,
      "description": "Learn computer vision fundamentals with the famous MNIST data",
      "competitions": 1
    },
    {
      "title": "Natural Language Processing with Disaster Tweets",
      "author": "Raoul_Gabriel_Urma",
      "datasets": 85,
      "notebooks": 794,
      "discussion": 302,
      "description": "Predict which Tweets are about real disasters and which ones are not",
      "competitions": 1
    },
    {
      "title": "Credit Card Fraud Detection",
      "author": "Raoul_Gabriel_Urma",
      "datasets": 97,
      "notebooks": 682,
      "discussion": 319,
      "description": "Identify fraudulent credit card transactions",
      "competitions": 1
    }
  ]
}
```

## Documentation

## Overview
Unlock vast Kaggle datasets with our API for superior data analysis and AI model development.

## Quickstart
```
GET https://api.piloterr.com/v2/kaggle/search?query=example
```

## Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| `query` | string | yes | Search query or target identifier |

## Main use cases
- Integrate Kaggle Search data into enrichment, analytics, and monitoring pipelines
- Automate large-scale extraction from Kaggle without maintaining scrapers
- Power internal dashboards and workflow automations with live Kaggle data