Open Science Framework

How to Use This API

1. Search Preprints by Title

https://api.osf.io/v2/preprints/?filter[title]=machine%20learning

2. List Preprints by Provider

https://api.osf.io/v2/preprints/?filter[provider]=osf

3. Get a Single Preprint

https://api.osf.io/v2/preprints/abcd1234/

4. Registered Studies

https://api.osf.io/v2/registrations/?filter[description]=clinical%20trial

5. JavaScript — Search Preprints

async function searchPreprints(query) {
  const resp = await fetch(
    `https://api.osf.io/v2/preprints/?filter[title]=${query}&page[size]=5`
  );
  const data = await resp.json();
  
  data.data.forEach(p => {
    const attrs = p.attributes;
    console.log(`Title: ${attrs.title}`);
    console.log(`Date: ${attrs.date_published?.slice(0, 10) || 'N/A'}`);
    console.log(`License: ${attrs.license?.name || 'N/A'}`);
    console.log(`Abstract: ${attrs.description?.slice(0, 100)}...`);
    console.log('---');
  });
}

searchPreprints('quantum computing');

6. Python — Download Preprint Metadata

import requests

def list_preprints(discipline, limit=10):
    resp = requests.get(
        'https://api.osf.io/v2/preprints/',
        params={
            'filter[description]': discipline,
            'page[size]': limit
        }
    )
    data = resp.json()
    
    print(f'Recent preprints related to "{discipline}":')
    for item in data['data']:
        a = item['attributes']
        authors = [c['name'] for c in item.get('relationships', {})
                   .get('contributors', {}).get('links', {})
                   .get('related', {}).get('data', [])]
        print(f'  • {a["title"]}')
        print(f'    Published: {a["date_published"][:10]}')
        print(f'    Download: {a.get("preprint_doi")}')
        print()

list_preprints('neuroscience')