(2025). Sprynger: Scriptable Bibliometrics using a Python Interface to Springer NatureMax Planck Institute for Innovation & Competition Research Paper No. 25-02.
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.
