🏅 Nobel Prize Laureates Scraper

🚀 Export every Nobel Prize laureate in seconds. Pull the full roster of 1,000+ laureates from the official Nobel Prize API, complete with category, award year, motivation, prize share, and biography.

🕒 Last updated: 2026-06-04 · 📊 22 fields per record · 1,018 laureates from 1901 to today · 6 prize categories

The Nobel Prize Laureates Scraper turns the official Nobel Prize API into a clean, structured feed of award winners. Search by name, filter by category and year, sweep an entire decade with a year range, or browse the complete list. Every record carries the laureate identity, the prize that made them famous, and the full biography behind it.

Coverage spans all six categories (Chemistry, Economic Sciences, Literature, Peace, Physics, and Physiology or Medicine) for every year prizes were awarded since 1901. Each laureate includes their award motivation, prize share, prize amount, awarding institution, birth and death details, and links to their official Nobel page, Wikipedia, and Wikidata entries.

🎯 Target Audience	💡 Primary Use Cases
Researchers and academics	Building datasets on scientific and cultural achievement
Journalists and educators	Fact checking, timelines, and classroom material
Data scientists and analysts	Trend analysis across categories, countries, and decades
Trivia and content creators	Quiz banks, articles, and reference pages
Developers and app builders	Powering apps with structured laureate data

📋 What the Nobel Prize Laureates Scraper does

This Actor connects to the official Nobel Prize API and returns structured laureate records. It auto detects the right mode from your input:

• Name search finds laureates whose full, given, or family name matches your text.
• Category and year narrows to one category in one year.
• Year range sweeps every laureate awarded between two years.
• Browse all walks the complete list of 1,018 laureates when no filter is set.

For each laureate it returns identity fields, a flattened headline prize, birth and death biography, official links, and a full array of every prize that person won (some laureates won more than once).

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Field	Key	Type	Description
Name Search	searchName	string	Find laureates by name. Takes priority over other filters.
Prize Category	nobelPrizeCategory	select	One of Chemistry, Economic Sciences, Literature, Peace, Physics, Physiology or Medicine.
Prize Year (from)	nobelPrizeYear	integer	Single award year, or the lower bound of a range.
Year To	yearTo	integer	Upper bound of a year range. Requires Prize Year (from).
Max Items	maxItems	integer	How many laureates to collect. Free plan caps at 10.

Example 1 — every laureate from 2018 to 2020:

{
    "nobelPrizeYear": 2018,
    "yearTo": 2020,
    "maxItems": 50
}

Example 2 — search by name:

{
    "searchName": "curie",
    "maxItems": 10
}

⚠️ Good to Know: When a name search is provided, category and year filters are ignored so the search stays focused. To filter by category, leave the name field empty. A year range needs both Prize Year (from) and Year To, where Year To is greater than or equal to the start year.

📊 Output

Field	Key	Description
👤 Full Name	fullName	Laureate full name in English.
🆔 ID	id	Official Nobel Prize laureate ID.
⚧ Gender	gender	Recorded gender of the laureate.
🏅 Category	category	Category of the headline prize.
📅 Award Year	awardYear	Year the headline prize was awarded.
📜 Motivation	motivation	Official reason for the award.
🍰 Prize Share	prizeShare	Portion of the prize, such as 1/3 or 1.
🗓 Date Awarded	dateAwarded	Date the prize was announced.
🎂 Birth Date	birthDate	Date of birth.
🌍 Birth Country	birthCountry	Country of birth.
⚰️ Death Date	deathDate	Date of death, when applicable.
🔗 Nobel Page	nobelUrl	Official Nobel Prize facts page.
📚 Wikipedia	wikipediaUrl	English Wikipedia article.
🏛 Prizes	prizes	Full array of every prize won, with motivation, amount, and affiliations.
🕒 Scraped At	scrapedAt	Timestamp of collection.

Sample record 1 — 2019 Chemistry laureate:

{
    "id": "978",
    "fullName": "Akira Yoshino",
    "gender": "male",
    "category": "Chemistry",
    "awardYear": 2019,
    "motivation": "for the development of lithium-ion batteries",
    "prizeShare": "1/3",
    "dateAwarded": "2019-10-09",
    "birthDate": "1948-01-30",
    "birthCountry": "Japan",
    "wikipediaUrl": "https://en.wikipedia.org/wiki/Akira_Yoshino",
    "nobelUrl": "https://www.nobelprize.org/laureate/978",
    "prizes": [
        {
            "awardYear": 2019,
            "category": "Chemistry",
            "motivation": "for the development of lithium-ion batteries",
            "prizeShare": "1/3",
            "prizeAmount": 9000000,
            "affiliations": [
                { "name": "Asahi Kasei Corporation", "city": "Tokyo", "country": "Japan" },
                { "name": "Meijo University", "city": "Nagoya", "country": "Japan" }
            ]
        }
    ],
    "scrapedAt": "2026-06-04T19:28:48.275Z",
    "error": null
}

Sample record 2 — 2019 Economic Sciences laureate:

{
    "id": "982",
    "fullName": "Abhijit Banerjee",
    "gender": "male",
    "category": "Economic Sciences",
    "awardYear": 2019,
    "motivation": "for their experimental approach to alleviating global poverty",
    "prizeShare": "1/3",
    "birthCountry": "India",
    "nobelUrl": "https://www.nobelprize.org/laureate/982",
    "scrapedAt": "2026-06-04T19:28:48.275Z",
    "error": null
}

Sample record 3 — 2019 Peace laureate:

{
    "id": "981",
    "fullName": "Abiy Ahmed Ali",
    "gender": "male",
    "category": "Peace",
    "awardYear": 2019,
    "motivation": "for his efforts to achieve peace and international cooperation, and in particular for his decisive initiative to resolve the border conflict with neighbouring Eritrea",
    "prizeShare": "1",
    "birthCountry": "Ethiopia",
    "nobelUrl": "https://www.nobelprize.org/laureate/981",
    "scrapedAt": "2026-06-04T19:28:48.275Z",
    "error": null
}

✨ Why choose this Actor

• Official source. Data comes straight from the Nobel Prize API, not a scraped mirror.
• Four search modes in one. Name, category, year, year range, or browse all, auto detected from your input.
• Complete biography. Birth and death places, affiliations, motivation, and prize amount in every record.
• Multi prize aware. Laureates who won more than once carry all their prizes in one array.
• Clean, flat fields. Headline category and year are surfaced for instant sorting and filtering.

📈 How it compares to alternatives

Approach	Setup	Structured output	Full biography	Multi prize	Maintenance
This Actor	None	Yes, 22 fields	Yes	Yes	Handled for you
Manual API calls	Write your own client	Raw nested data	Manual flattening	Manual	You own it
Copy from Wikipedia	Hours of editing	No	Inconsistent	Easy to miss	Constant

🚀 How to use

1. Sign up for a free Apify account using this link.
2. Open the Nobel Prize Laureates Scraper from your Apify console.
3. Choose a mode. Enter a name, or pick a category and year, or set a year range, or leave everything empty to browse all.
4. Set Max Items and click Start.
5. When the run finishes, download your results or pull them from the dataset endpoint into your own tools.

💼 Business use cases

Media and publishing

Goal	How
Build award timelines	Pull a year range and sort by category.
Fact check articles	Search a name and read the official motivation.

Education

Goal	How
Classroom datasets	Browse all laureates for a teaching exercise.
Quiz and trivia banks	Filter by category for themed question sets.

Research and analytics

Goal	How
Country level analysis	Use birth country across decades of laureates.
Institution tracking	Read affiliations to map prizes to universities.

Apps and products

Goal	How
Power a reference app	Feed structured records into your own database.
Enrich profiles	Match a person to their Nobel page and Wikipedia link.

🔌 Automating Nobel Prize Laureates Scraper

Connect this Actor to the tools you already use:

• Make and Zapier for no code workflows.
• Slack alerts when a run completes.
• Airbyte to sync results into a warehouse.
• GitHub Actions to schedule recurring runs.
• Google Drive to archive each run automatically.

🌟 Beyond business use cases

• Research. Study patterns in who wins, where, and for what.
• Personal. Build a reading list from Literature laureates.
• Non profit. Support education and outreach with verified data.
• Experimentation. Train and test models on a clean, well known dataset.

🤖 Ask an AI assistant

Drop your results into ChatGPT, Claude, Perplexity, or Microsoft Copilot and ask questions like which country produced the most Physics laureates, or summarize every Peace prize motivation from the last decade.

❓ Frequently Asked Questions

Is this affiliated with the Nobel Foundation? No. This is an independent tool that reads the public Nobel Prize API.

How many laureates are available? The API currently lists 1,018 laureates across all categories and years.

Which years are covered? Every year prizes were awarded, starting in 1901.

What categories can I filter by? Chemistry, Economic Sciences, Literature, Peace, Physics, and Physiology or Medicine.

Can I search by name? Yes. The name search matches full, given, and family names.

Do some laureates have more than one prize? Yes. Those laureates carry every prize in the prizes array.

What is prize share? The portion of the prize the laureate received, such as 1/3 or 1.

Does it include affiliations? Yes, when the API records them, including the awarding institution and its city and country.

Are death details included? Yes for laureates who have died. Living laureates have empty death fields.

Is there a free tier? Yes. Free runs are capped at 10 laureates per run. Paid plans go up to 1,000,000.

How current is the data? It reflects the official Nobel Prize API at the time of each run.

Can I run it on a schedule? Yes. Use Apify schedules or any external trigger to refresh after each annual announcement.

🔌 Integrate with any app

Pull results straight from the dataset endpoint into your own stack, or wire the Actor into Make, Zapier, or a custom webhook to push data wherever you need it.

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💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the Nobel Foundation or NobelPrize.org. Only publicly available data from the official Nobel Prize API is collected.