sprynger: Scriptable bibliometrics using a Python interface to Springer Nature

We present a wrapper for the Springer Nature RESTful API written for Python 3. The wrapper allows users to access their free-to-use endpoints via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The APIs allow users to query metadata and open-access full-text of articles, conference proceedings and books published with Springer Nature. Files are cached to speed up subsequent analysis. The package addresses all users of scientific full-text, such as researchers working in Science of Science or evaluators. It facilitates reproducibility of research projects and enhances data integrity for researchers using Springer Nature data.

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Publication Details

Journal
SoftwareX
Published
2025-05-27
DOI
https://doi.org/10.1016/j.softx.2025.102186
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

sprynger: Scriptable bibliometrics using a Python interface to Springer Nature

Michael E. Rose, Nathan Herrmann
SoftwareX
Biomedical Text Mining and Ontologies
article

sprynger: Scriptable bibliometrics using a Python interface to Springer Nature

Michael E. Rose, Nathan Herrmann
article en

Abstract

We present a wrapper for the Springer Nature RESTful API written for Python 3. The wrapper allows users to access their free-to-use endpoints via user-friendly interfaces and can be used without prior knowledge of RESTful APIs. The APIs allow users to query metadata and open-access full-text of articles, conference proceedings and books published with Springer Nature. Files are cached to speed up subsequent analysis. The package addresses all users of scientific full-text, such as researchers working in Science of Science or evaluators. It facilitates reproducibility of research projects and enhances data integrity for researchers using Springer Nature data.

SoftwareXVol. 31
Max Planck Institute for Innovation and Competition (DE), Technical University of Munich (DE)
Quality Education
Openalex Percentile: Top 89%
Biomedical Text Mining and Ontologies
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