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.
Authors
- Michael E. Rose (ORCID: https://orcid.org/0000-0002-4128-4236)
- Nathan Herrmann (ORCID: https://orcid.org/0009-0000-9429-2873)
Institutions
- Max Planck Institute for Innovation and Competition (DE)
- Technical University of Munich (DE)
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