sprynger: API wrapper for Springer Nature
Simple API wrapper for the Springer Nature APIs
🏔️ Overview Springer Nature
Springer Nature currently offers three free APIs:
Springer Metadata API: Metadata of articles, journal articles and book chapters. (Note: Being discontinued by Springer Nature)
Springer Meta API: Advanced version offering versioned metadata.
Springer OpenAccess API: Metadata and, where available, full-text.
⬇️ Install
Download and install the package from PyPI:
pip install sprynger
🪧 Example Use
>>> from sprynger import Meta, OpenAccess, init
>>> # Initialize with a single API key (for backward compatibility)
>>> init(api_key='your free api key from https://dev.springernature.com')
>>>
>>> # Or initialize with separate keys for Meta and OpenAccess APIs
>>> init(api_key_meta='your_meta_key', api_key_oa='your_openaccess_key')
>>>
>>> # Get metadata of all chapters in the book with ISBN '978-3-031-63497-0'
>>> book_metadata = Meta(isbn='978-3-031-63497-0', nr_results=3)
>>> for chapter in book_metadata:
>>> print(chapter.identifier)
>>> print(chapter.abstract)
'doi:10.1007/978-3-031-63498-7_20'
'Modern solvers for quantified Boolean formulas (QBFs) process formulas in prenex form, ...'
'doi:10.1007/978-3-031-63498-7_9'
'Given a finite consistent set of ground literals, we present an algorithm that generates ...'
'doi:10.1007/978-3-031-63498-7_3'
'The TPTP World is a well established infrastructure that supports research, development, ...'
>>> # Print the facets of the retrieved chapter's metadata
>>> book_metadata.facets
[MetadataFacets(facet='subject', value='Artificial Intelligence', count='27'),...]
>>>
>>> # Retrieve full-text of three 'journal articles' with the keyword 'quantum computing' published before 2023
>>> results = OpenAccess('"quantum computing"', dateto='2022-12-30', type='Journal Article', nr_results=3)
>>> results.documents_found
3515
>>> for document in results:
>>> print(document.title)
>>> for section in document.parsed_text:
>>> print(section.text)
'A neural network assisted'
'Introduction Quantum sensing 1 and metrology 2 are important branches of modern quantum technologi...'
...
'Experimental demonstration of classical analogous time-dependent superposition of states'
'Introduction The increased demand for quantum information science (QIS) and quantum computing 1 , 2...'
...
'A quantum-like cognitive approach to modeling human biased selection behavior'
'Introduction With the advent of the Internet of Things and social networks, the reformation of the d...'
...
📝 Citation
If sprynger helped you retrieve your data, please cite the corresponding paper.
@article{HERRMANN2025102186,
title = {sprynger: Scriptable bibliometrics using a Python interface to Springer Nature},
journal = {SoftwareX},
volume = {31},
pages = {102186},
year = {2025},
issn = {2352-7110},
doi = {https://doi.org/10.1016/j.softx.2025.102186},
url = {https://www.sciencedirect.com/science/article/pii/S2352711025001530},
author = {Nils A. Herrmann and Michael E. Rose}
}
📖 Documentation
For a comprehensive guide, see the documentation in read the docs.
⚠️ Disclaimer
This project is an independent API wrapper for the Springer Nature API. It is not affiliated with, endorsed, or maintained by Springer Nature. For official support, please refer to the Springers’s documentation and support channels.
Metadata
Release files for sprynger 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sprynger-0.4.3.tar.gz | 36.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sprynger-0.4.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 79.1 kB
Release files / sprynger-0.4.3.tar.gz
| Download URL | sprynger-0.4.3.tar.gz |
|---|---|
| Size | 36.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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Transparency logRelease files / sprynger-0.4.3-py3-none-any.whl
| Download URL | sprynger-0.4.3-py3-none-any.whl |
|---|---|
| Size | 42.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9342a9f7b5112b69314db7c8e138de2bfb64e5377a677183ae9a1b850d98f670
|
|
BLAKE2b-256 checksum How to use checksums |
9fe99f35d8d9f06e33e76643808d69d95af7b684aa0af864a211a391497077e9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 22, 2026.
Transparency log