🏅 Nobel Prize Laureates & Discoveries Scraper

Extract official Nobel Prize laureates, award years, scientific and literary categories, discovery motivations, university affiliations, birthplaces, and historical citations in bulk.

Engineered for academic researchers, science communicators, educational platforms, AI RAG knowledge graphs, and university ranking analytics.

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🥊 Why This Actor Beats the Competition

Feature	🏅 This Actor (litezero)	🐢 Web Scraping NobelPrize.org	🔒 Academic Graph Paywalls
Speed	⚡ < 1.0 second / query	🐌 15–20s headless browser scraping	⏳ Complex multi-table joins
Pricing	💰 $1.00 / 1,000 laureates (Free Platform Usage)	💸 High RAM/CPU cost ($5+/run)	💳 $100+/month academic licenses
Data Completeness	📦 Full citations, affiliations, Wikipedia links	⚠️ Missing biographical details	🔒 Truncated summaries
Anti-Bot Resiliency	🛡️ Official Nobel Foundation API, 0% blocks	🚫 Cloudflare & rate limits	🔑 Strict institutional IP limits
Setup Friction	🚀 Zero API keys required	🛠️ Proxy rotation & DOM parsing	📝 Academic application approvals

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🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console (No-Code)

1. Optional: Search by laureate name (e.g. Curie, Einstein, Feynman, Kahneman).
2. Optional: Filter by Nobel category (Physics, Chemistry, Medicine, Literature, Peace, Economic Sciences).
3. Optional: Filter by specific award year (e.g. 2023, 2020).
4. Click Start and export results to JSON, CSV, or Excel.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "name": "Einstein",
    "category": "phy"
}

run = client.actor("litezero/nobel-prize-laureates-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['name']} ({item['primary_award_year']} {item['primary_category']}): {item['primary_motivation']}")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/nobel-prize-laureates-scraper').call({
    category: 'med',
    year: '2023'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} Nobel laureates.`);

Method 4: REST API / cURL

curl "https://api.apify.com/v2/acts/litezero~nobel-prize-laureates-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"category": "che", "maxResults": 10}'

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📥 Input Parameters

Parameter	Type	Required	Default	Description
name	string	No	"Curie"	Laureate name or keyword to search.
category	string	No	"all"	Category: all, phy, che, med, lit, pea, eco.
year	string	No	""	Filter by specific award year (e.g. 2023).
maxResults	integer	No	20	Max laureates to return (1–100).

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📤 Output Data Dictionary & Sample JSON

{
  "id": "194",
  "name": "Irène Joliot-Curie",
  "full_name": "Irène Joliot-Curie",
  "gender": "female",
  "birth_date": "1897-09-12",
  "birth_place": "Paris, France",
  "death_date": "1956-03-17",
  "prizes_count": 1,
  "primary_category": "Chemistry",
  "primary_award_year": 1935,
  "primary_motivation": "in recognition of their synthesis of new radioactive elements",
  "prizes": [
    {
      "category": "Chemistry",
      "award_year": 1935,
      "motivation": "in recognition of their synthesis of new radioactive elements",
      "prize_status": "received",
      "prize_amount": 159917,
      "affiliations": [
        "Institut du Radium"
      ]
    }
  ],
  "wikipedia_url": "https://en.wikipedia.org/wiki/Ir%C3%A8ne_Joliot-Curie",
  "nobel_prize_url": "https://www.nobelprize.org/laureate/194",
  "scraped_at": "2026-10-04T06:30:00.000Z"
}

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💡 Top Commercial Use Cases

1. Academic Knowledge Graphs & LLM Grounding: Inject verified Nobel Prize citations, discoveries, and university affiliations into scientific RAG applications.
2. University & Research Institutional Benchmarking: Quantify historical faculty Nobel achievements and research impact across global universities.
3. Science Communication & History Portals: Build rich interactive visual timelines, educational discovery encyclopedias, and museum exhibitions.