# Kaggle Datasets & Data Science Intelligence Scraper (`lepone31/kaggle-datasets-scraper`) Actor

Scrape public datasets, download counts, usability scores, upvotes, tags, and creator metrics from Kaggle in under 1 second with 0 proxy cost.

- **URL**: https://apify.com/lepone31/kaggle-datasets-scraper.md
- **Developed by:** [Cedric poma](https://apify.com/lepone31) (community)
- **Categories:** AI, Developer tools, Business
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 📊 Kaggle Datasets & Data Science Intelligence Scraper

Extract public data science datasets, download statistics, community upvotes, usability quality scores, tags, and direct download links from **Kaggle** in under **1 second** with **zero proxy costs**.

***

### 🌟 Why Use Kaggle Datasets Scraper?

Kaggle is the world's premier platform for data scientists, machine learning engineers, and researchers. This Actor provides direct, programmatic access to:

- **High-Quality Datasets:** Filter millions of curated tables, CSVs, and image collections by topic (Finance, Healthcare, NLP, Computer Vision).
- **Usability & Quality Scoring:** Extract Kaggle's proprietary `usabilityRating` (0.0 to 1.0) to filter only well-documented data.
- **Community Validation:** Analyze vote counts, total downloads, and view counts to find proven industry benchmarks.
- **AI Agent Ready:** Built for autonomous research agents, automated dataset discovery, and enterprise data enrichment.

***

### ⚡ Performance & Zero-Proxy Advantage

- **Blazing Fast:** Executes in **0.3s to 0.8s** using Kaggle's public JSON API.
- **0 € Proxy Costs:** Uses pure HTTPS requests without requiring residential or datacenter proxies.
- **Low Memory Footprint:** Runs comfortably on 256MB to 512MB RAM.

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `search` | String | `"finance"` | Search term (e.g. `healthcare`, `crypto`, `nlp`, `climate`). |
| `sort_by` | String | `"hotness"` | Sort order: `hotness`, `votes`, `updated`, or `active`. |
| `max_items` | Integer | `30` | Maximum number of datasets to return (1 to 100). |

***

### 📤 Output Format

Each record in the dataset contains normalized dataset intelligence:

```json
{
  "id": 1428590,
  "ref": "nitindatta/finance-data",
  "title": "Finance Data",
  "subtitle": "Here is some data related to stock market and investments.",
  "creatorName": "Nitin Datta",
  "creatorProfile": "https://www.kaggle.com/nitindatta",
  "totalBytes": 2956,
  "formattedSize": "2.89 KB",
  "downloadCount": 18450,
  "voteCount": 215,
  "viewCount": 85400,
  "usabilityRating": 0.88,
  "license": "CC0-1.0",
  "tags": ["finance", "investing", "stocks", "market"],
  "url": "https://www.kaggle.com/datasets/nitindatta/finance-data",
  "downloadUrl": "https://www.kaggle.com/api/v1/datasets/download/nitindatta/finance-data",
  "lastUpdated": "2024-05-12T10:15:00.000Z",
  "scrapedAt": "2026-11-03T10:35:00.000Z"
}
```

***

### 💰 Pay-Per-Event (PPE) Pricing

- **$0.0025 per dataset extracted**
- Only pay for successful dataset items returned. Zero fixed subscription fee.

# Actor input Schema

## `search` (type: `string`):

Keyword to search datasets (e.g. 'finance', 'healthcare', 'crypto', 'nlp', 'e-commerce', 'climate').

## `sort_by` (type: `string`):

Sorting criteria for datasets.

## `max_items` (type: `integer`):

Maximum number of datasets to extract (1 to 100).

## `proxyConfiguration` (type: `object`):

Optional proxy settings. By default, extracts datasets with 0 proxy cost.

## Actor input object example

```json
{
  "search": "finance",
  "sort_by": "hottest",
  "max_items": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lepone31/kaggle-datasets-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("lepone31/kaggle-datasets-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call lepone31/kaggle-datasets-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepone31/kaggle-datasets-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/llzQIEm89w78X4m2G/builds/oRELDaEiVttLfl07M/openapi.json