# KoreaScience Scraper (`dadhalfdev/koreascience-scraper`) Actor

Scrape Korean research articles from koreascience.kr. Use a keyword or paste a search URL — the URL wins when set.

- **URL**: https://apify.com/dadhalfdev/koreascience-scraper.md
- **Developed by:** [Marco Rodrigues](https://apify.com/dadhalfdev) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 🔬 KoreaScience Scraper

Want [KoreaScience](https://koreascience.kr/search.page?keywords=cancer\&target=ARTI) research articles in a spreadsheet? This scraper makes it easy.

Use a **keyword** — structured filters work better for AI agents — **or** paste an **`input_url`** from KoreaScience once you've already searched. When `input_url` is set it overrides the keyword.

KoreaScience indexes Korean journals. The keyword `cancer` returns about **29,171** articles across **2,918** pages. This actor reads the public search HTML and returns up to 2000 rows per run.

### 💡 Perfect for...

- **Researchers:** Export article titles and KoreaScience URLs for a topic.
- **Dashboards:** Track new Korean-journal hits without paging by hand.
- **Market research:** Slice scholarly output by keyword.
- **Data analysts:** Export structured KoreaScience rows with public article URLs.
- **🤖 AI Agents:** Power Claude, Cursor, Codex, the Hermes Agent, and OpenClaw workflows with live KoreaScience results.
- **📚 RAG Systems:** Feed titles into retrieval pipelines.
- **🔗 AI Workflows:** Plug into LangChain, AutoGPT, CrewAI, and similar stacks.

### ✨ Why you'll love this scraper

- 🔗 **Input URL or Filters:** Paste a `/search.page?keywords=` URL (`input_url`) or type a keyword. `input_url` always wins when set.
- 🎯 **Website-Matched Filters:** Same `keywords` + `target=ARTI` search as koreascience.kr.
- 🌐 **Public pages only:** Title and article URL from each search card.

### 📦 What's inside the data?

Every row includes: `id`, `url`, `title`, `source`.

### 🚀 Quick start

**Option A — Input URL:** paste `https://koreascience.kr/search.page?keywords=cancer&target=ARTI`.
**Option B — Filters:** set `keyword` to `cancer` (or another term) and `max_results`.

**Input Example:**

```json
{ "keyword": "cancer", "max_results": 100 }
```

**Output Example:**

```json
{
  "id": "JAKO202616054137121",
  "url": "https://koreascience.kr/article/JAKO202616054137121.page",
  "title": "Erratum to \"Bioinformatic Analysis to Identify Biomarker Candidates...\"",
  "source": "koreascience"
}
```

### 📋 Input reference

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `input_url` | string | No | — | KoreaScience search URL; overrides keyword. |
| `keyword` | string | No | `cancer` | Same as `keywords=` on the site. |
| `max_results` | integer | No | `50` | Maximum rows (`1`–`2000`). |

# Actor input Schema

## `input_url` (type: `string`):

Paste a KoreaScience search URL (e.g. https://koreascience.kr/search.page?keywords=cancer\&target=ARTI). Overrides the keyword when set.

## `keyword` (type: `string`):

Same as the KoreaScience search box (`keywords=`). Default is cancer (~29,000 articles).

## `author` (type: `string`):

Same as the KoreaScience author field (`autEn=`). Ignored when input\_url is set.

## `journal` (type: `string`):

Same as the KoreaScience journal field (`jnlEn=`). Ignored when input\_url is set.

## `year` (type: `integer`):

Same as the KoreaScience year field (`pubYr=`). Ignored when input\_url is set.

## `content_type` (type: `string`):

Same as the KoreaScience content-type checkboxes (`contTy=`). Ignored when input\_url is set.

## `max_results` (type: `integer`):

How many rows to return (1–2000). Search pages show 10 articles each.

## Actor input object example

```json
{
  "keyword": "cancer",
  "content_type": "",
  "max_results": 50
}
```

# Actor output Schema

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

Table view of scraped articles using the dataset overview view.

## `results` (type: `string`):

All scraped articles from the default dataset without view transformation.

# 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("dadhalfdev/koreascience-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("dadhalfdev/koreascience-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 dadhalfdev/koreascience-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadhalfdev/koreascience-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/M2IehXvwatcVaLyLf/builds/TkR0POPTsIRlXrwxT/openapi.json