# Nobel Prize Laureates and Discovery Radar (`adaptive_nightmare/nobel-prize-radar`) Actor

Extract Nobel Prize Laureates and Discovery data in clean JSON or CSV. Query by category, startYear, endYear for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.

- **URL**: https://apify.com/adaptive_nightmare/nobel-prize-radar.md
- **Developed by:** [Darim Quraishi](https://apify.com/adaptive_nightmare) (community)
- **Categories:** Education, AI, News
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.15 / 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.

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

## 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

## Nobel Prize Laureates and Discovery Radar

Search official Nobel Prizes awarded across Physics, Chemistry, Physiology or Medicine, Literature, Peace, and Economic Sciences with laureate rosters and discovery motivations.

### Features

- Scrapes the official Nobel Prize REST API v2.1 documenting every laureate and prize awarded since 1901.
- Filters awards by disciplinary branch including Physics, Chemistry, Medicine, Literature, Peace, and Economics.
- Captures laureate names, prize shares, official citation texts, cash award figures, and permanent ceremony summaries.
- Operates via public Nobel Foundation endpoints without API authentication or proxy overhead.
- Delivers clean structured data ready for immediate export to JSON, CSV, or relational databases.

### Input parameters

- Prize Category: Select from Physics, Chemistry, Medicine, Literature, Peace, Economics, or all categories. Default is all.
- Start Year: Earliest prize year to query. Default is 2000, minimum is 1901.
- End Year: Latest prize year to query. Default is 2026.
- Maximum Prizes: Maximum number of award records to return. Default is 50, maximum is 200.

### Output dataset fields

Each dataset record contains:

- awardYear: Calendar year the prize was conferred.
- category: Disciplinary category (Physics, Chemistry, Physiology or Medicine, Literature, Peace, Economic Sciences).
- categoryFullName: Official full English title of the award.
- prizeAmount: Nominal Swedish krona (SEK) monetary amount awarded.
- prizeAmountAdjusted: Inflation-adjusted monetary prize amount.
- dateAwarded: Official date of the award announcement.
- laureatesCount: Total individuals or organizations sharing the honor.
- laureates: Array of laureate objects detailing member names, prize fractions, and individual motivations.
- topMotivation: Official citation describing the discovery or humanitarian contribution.
- nobelUrl: Direct link to the prize summary on nobelprize.org.
- scrapedAt: UTC timestamp when the data was extracted.

### Use cases

- Academic research: Analyze prize allocation trends and institutional affiliations across scientific domains.
- Science journalism: Retrieve verified historical citations and biographical context on award announcement days.
- Educational encyclopedias: Build biographical knowledge graphs covering foundational contributors to human knowledge.
- Trivia and knowledge curation: Aggregate discovery milestones across the physical and biomedical sciences.

# Actor input Schema

## `category` (type: `string`):

Disciplinary category to inspect.

## `startYear` (type: `integer`):

Beginning award year.

## `endYear` (type: `integer`):

Ending award year.

## `maxPrizes` (type: `integer`):

Maximum number of Nobel Prize records to retrieve.

## Actor input object example

```json
{
  "category": "all",
  "startYear": 2000,
  "endYear": 2026,
  "maxPrizes": 50
}
```

# Actor output Schema

## `results` (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("adaptive_nightmare/nobel-prize-radar").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("adaptive_nightmare/nobel-prize-radar").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 adaptive_nightmare/nobel-prize-radar --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,adaptive_nightmare/nobel-prize-radar"
        }
    }
}
```

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/M3NC2xfitKALQS2d8/builds/qhRcoals27sUAeIY8/openapi.json