Crossref API: Search 130M+ Research Papers Programmatically (No Key)
The article discusses the Crossref API, which provides access to over 130 million scholarly articles without requiring an API key or registration. It explains how to use the API for research automation, citation analysis, and building academic tools.
Why it matters
The Crossref API provides free, programmatic access to a vast database of scholarly publications, enabling the development of innovative research tools and applications.
Key Points
- 1Crossref is the DOI registration agency used by most academic publishers
- 2The Crossref API provides access to 130+ million research papers with no API key or rate limit
- 3The API can be used for tasks like research automation and citation analysis
- 4The article provides a Python code example to search and retrieve paper metadata
Details
Crossref is a non-profit organization that acts as the DOI (Digital Object Identifier) registration agency for scholarly publications. When a research paper is published, it is assigned a unique DOI that allows it to be easily identified and accessed. The Crossref API exposes the metadata for over 130 million of these registered works, including information like title, publication year, citation count, and more. Unlike Google Scholar, which has no public API and blocks web scraping, the Crossref API can be accessed freely with no API key or rate limit registration required. This makes it a valuable resource for developers and researchers looking to build tools for academic search, citation analysis, and other applications. The article provides a Python code example demonstrating how to use the Crossref API to search for papers based on a query and retrieve key metadata fields.
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