semanticscholar
A python library that aims to retrieve data from Semantic Scholar API.
How to install
pip install semanticscholar
Usage
Programmatically access paper and author data.
Paper Lookup
To access paper data:
>>> import semanticscholar as sch
>>> paper = sch.paper('10.1093/mind/lix.236.433', timeout=2)
>>> paper.keys()
dict_keys(['abstract', 'arxivId', 'authors', 'citationVelocity', 'citations', 'doi',
'influentialCitationCount', 'paperId', 'references', 'title', 'topics', 'url', 'venue', 'year'])
>>> paper['title']
'Computing Machinery and Intelligence'
>>> for author in paper['authors']:
... print(author['name'])
... print(author['authorId'])
...
Alan M. Turing
2262347
Author Lookup
To access author data:
>>> import semanticscholar as sch
>>> author = sch.author(2262347, timeout=2)
>>> author.keys()
dict_keys(['aliases', 'authorId', 'citationVelocity', 'influentialCitationCount', 'name', 'papers', 'url'])
>>> author['name']
'Alan M. Turing'
>>> len(author['papers'])
77
Metadata
Release files for pysemanticscholar 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pysemanticscholar-0.1.6.tar.gz | 3.1 kB | Without provenance | Details for pysemanticscholar-0.1.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pysemanticscholar-0.1.6-py3-none-any.whl | Python 3 | none | any | Details for pysemanticscholar-0.1.6-py3-none-any.whl |
Total release size: 7.5 kB
Release files / pysemanticscholar-0.1.6.tar.gz
| Download URL | pysemanticscholar-0.1.6.tar.gz |
|---|---|
| Size | 3.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3f92f98db234c4a3fabbeec1123ed59de2034770851b307037f9af361d687233
|
|
BLAKE2b-256 checksum How to use checksums |
45c433eb1ce93628af8e8a376f27b3ccb90bce7193c7338fdc6e29b2113ca5bd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.8.0
|
Release files / pysemanticscholar-0.1.6-py3-none-any.whl
| Download URL | pysemanticscholar-0.1.6-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2a6b7f8bc33c38e61d0dee4fd1c60d5e4b6b357674d3842326902e7ab6d084dc
|
|
BLAKE2b-256 checksum How to use checksums |
21b2f4a2ac03ce9dc956b37639d2a2055cfd16652b119cdae4d03c5df9cb3b4f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.8.0
|
Security for pysemanticscholar 0.1.6
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.