Overview
CORE provides access to millions of open-access research papers from repositories and journals worldwide. You can search, filter, and download full-text academic content programmatically using your API key. It is a powerful resource for researchers, students, and developers building academic tools.
Beginner Tip
Use the search endpoint with a simple keyword query to get started, then explore the metadata fields like authors and DOI for richer integrations. Your API key must be included in every request as a Bearer token.
Measurement Record
What actually happened when we called this API from our own infrastructure. Every value below was recorded by the request, not copied from the provider's documentation.
- Request
- GET https://api.core.ac.uk/v3/search/works?q=machine+learning&limit=5
- Result
- HTTP 200 · application/json · 35,439 bytes · compressed
- Response time
- 6021 ms (median of 3) · fastest 4043 ms
- Transport
- TLSv1.3 · TLS_AES_256_GCM_SHA384
- Browser CORS
- No Access-Control-Allow-Origin header — call it from a server, not the browser
- Rate limit
- 10 per window (10 remaining at test time)
- Served by
- cloudflare
- Recorded
- 2026-08-10
Fields Returned
Top-level fields present in the response we captured, with the type and value we actually received.
| Field | Type | Value received |
|---|---|---|
| totalHits | integer | 592803 |
| limit | integer | 5 |
| offset | integer | 0 |
| results | array | [1 item] |
| searchId | string | d2c7f7c7c93cc7b150b09430e261541b |
Captured Response
Captured from a real request to https://api.core.ac.uk/v3/search/works?q=machine+learning&limit=5 on 2026-08-10. Long arrays and nested objects are truncated to keep the shape readable.
{
"totalHits": 592803,
"limit": 5,
"offset": 0,
"results": [
{
"acceptedDate": "",
"arxivId": null,
"authors": [
{
"…": "(1 more fields)"
}
],
"citationCount": 0,
"contributors": [],
"outputs": [
"https://api.core.ac.uk/v3/outputs/641684400"
],
"createdDate": "2025-09-05T01:56:34+01:00",
"dataProviders": [
{
"…": "(4 more fields)"
}
],
"depositedDate": "2025-01-31T16:43:09+00:00",
"abstract": "Learning curves are a concept from social sciences that has been adopted in the context of machine learning to assess the performance of a learning algorithm…",
"documentType": "",
"doi": "10.1007/s10994-024-06619-7",
"downloadUrl": "",
"fieldOfStudy": "Artículo de revista",
"…": "(15 more fields)"
}
],
"searchId": "d2c7f7c7c93cc7b150b09430e261541b"
} Field Reference
authors List of author objects with name and affiliation. abstract Abstract or summary text of the paper. doi Digital Object Identifier for the paper, if available. downloadUrl URL to download the full-text PDF of the paper. Implementation Example
Calls a real endpoint of this API. Replace any placeholder credentials with your own key.
const url = "https://api.core.ac.uk/v3/search/works?q=machine+learning&limit=5";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
How This API Fails
We deliberately sent this API a broken request and recorded exactly what came back on 2026-08-10. Knowing the shape of an error before you hit it makes error handling much easier to write.
{
"message": "No route found for \"GET https://api.core.ac.uk/v3/search/works/apisscore-nonexistent-path\""
} Common Errors & Troubleshooting
Generated guidance based on this API's documentation, not observed by us. Treat it as a starting point and check against the provider's own error reference.
Measured Score Breakdown
Live HTTP request to the API endpoint
Fully tested on Aug 10, 2026
Technical Specifications
Related Tags
Similar APIs
View All →Materials Platform for Data Science
The Materials Platform for Data Science (MPDS) API provides access to curated experimental data about materials — things like crystal structures, physical properties, and phase diagrams.
Numbers
The Numbers API from math.tools provides facts, trivia, and mathematical data about numbers — including the number of the day, random numbers, and detailed number properties.
arcsecond.io
⭐ Beginner's Pickarcsecond.io is a free astronomy API that aggregates data from multiple space databases, including stars, planets, exoplanets, and observing sites.
GBIF
⭐ Beginner's PickGBIF (Global Biodiversity Information Facility) is a free, open API providing access to hundreds of millions of species occurrence records from around the world.
ISRO
⭐ Beginner's PickISRO is a free, no-auth API that provides detailed information about the Indian Space Research Organisation spacecraft and missions.