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Sprynger: Scriptable Bibliometrics Using a Python Interface to Springer Nature

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Bibliographic Details
Title:	Sprynger: Scriptable Bibliometrics Using a Python Interface to Springer Nature
Authors:	Herrmann, N., Rose, M.
Source:	SoftwareX
Publication Year:	2025
Collection:	Max Planck Society: MPG.PuRe
Description:	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.
Document Type:	article in journal/newspaper
Language:	English
Availability:	https://hdl.handle.net/21.11116/0000-0011-492F-8
Accession Number:	edsbas.E088D6DA
Database:	BASE

Description
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.