Pricing

from $2.00 / 1,000 paper fetcheds

CORE Open Access Paper Search

Search and extract open access academic papers from CORE -- the world's largest aggregator of open access research with over 300 million metadata records and 40+ million full-text papers. Filter by keyword, year range, and language.

Pricing

from $2.00 / 1,000 paper fetcheds

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Developer

ryan clinton

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Monthly active users

5 days ago

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Developer tools

You can access the CORE Open Access Paper Search programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          "query": {
            "title": "Search Query",
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          },
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            "type": "string",
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CORE Open Access Paper Search | Academic Research API OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for CORE Open Access Paper Search from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

CORE Open Access Paper Search API in Python

CORE Open Access Paper Search API in JavaScript

CORE Open Access Paper Search API through CLI

CORE Open Access Paper Search API

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