Skip to main content

Interfacing the Unpaywall Database with Python

Project description

unpywall - Interfacing the Unpaywall API with Python

Build Status codecov.io PyPI - Downloads License DOI PyPI - Version PyPI - Python Version Documentation Status

Introduction

unpywall is a Python client that utilizes the Unpaywall REST API for scholarly analysis with pandas. This package is influenced by roadoi, a R client that interacts with the Unpaywall API.

You can find more about the Unpaywall service here: https://unpaywall.org/.

The documentation about the Unpaywall REST API is located here: https://unpaywall.org/products/api.

Install

Install from pypi using pip:

pip install unpywall

Use

Authentication

An authentification is required to use the Unpaywall Service. For that, unpywall offers two options for authorizing the client. You can either import UnpywallCredentials which generates an environment variable or you can set the environment variable by yourself. Both methods require an email.

from unpywall.utils import UnpywallCredentials

UnpywallCredentials('nick.haupka@gmail.com')

Notice that the environment variable for authentication needs to be called UNPAYWALL_EMAIL.

export UNPAYWALL_EMAIL=nick.haupka@gmail.com

Query Unpaywall by DOI

If you want to search articles by a given DOI use the method doi. The result is a pandas DataFrame.

from unpywall import Unpywall

Unpywall.doi(dois=['10.1038/nature12373', '10.1093/nar/gkr1047'])

#   data_standard  ... best_oa_location.version
#0              2  ...         publishedVersion
#1              2  ...         publishedVersion

#[2 rows x 32 columns]

You can track the progress of your API call by setting the parameter progress to True. This is especially useful for estimating the time required.

Unpywall.doi(dois=['10.1038/nature12373', '10.1093/nar/gkr1047'],
             progress=True)

#|=========================                        | 50%

This method also allows two options for catching errors (raise and ignore)

Unpywall.doi(dois=['10.1038/nature12373', '10.1093/nar/gkr1047'],
             errors='ignore')

Query Unpaywall by text search

If you want to search articles by a given term use the method query. The result is a pandas DataFrame

Unpywall.query(query='sea lion',
               is_oa=True)
#   data_standard  ... first_oa_location.version
#0              2  ...          publishedVersion
#1              2  ...          publishedVersion
#2              2  ...          publishedVersion

Conveniently obtain full text

If you are using Unpaywall to obtain full-text copies of papers for literature mining, you may benefit from the following functions:

You can use the download_pdf_handle method to return a PDF handle for the given DOI.

Unpywall.download_pdf_handle(doi='10.1038/nature12373')

#<http.client.HTTPResponse object at 0x7fd08ef677c0>

To return an URL to a PDF for the given DOI, use get_pdf_link.

Unpywall.get_pdf_link(doi='10.1038/nature12373')

#'https://dash.harvard.edu/bitstream/1/12285462/1/Nanometer-Scale%20Thermometry.pdf'

To return an URL to the best available OA copy, regardless of the format, use get_doc_link.

Unpywall.get_doc_link(doi='10.1016/j.envint.2020.105730')

#'https://doi.org/10.1016/j.envint.2020.105730'

To return a list of all URLS to OA copies, use get_all_links.

Unpywall.get_all_links(doi='10.1038/nature12373')

#['https://dash.harvard.edu/bitstream/1/12285462/1/Nanometer-Scale%20Thermometry.pdf']

You can also directly access all data provided by unpaywall in json format using get_json.

Unpywall.get_json(doi='10.1038/nature12373')

#{'best_oa_location': {'endpoint_id': '8c9d8ba370a84253deb', 'evidence': 'oa repository (via OAI-PMH doi match)', 'host_type': ...

Command-Line-Interface

unpywall comes with a command-line-interface that can be used to quickly look up a PDF or to download free full-text articles to your device.

Obtain a PDF URL

Retrieve the URL of a PDF for a given DOI with the following command.

unpywall link 10.1038/nature12373

View a PDF

If you want to view a PDF in your Browser or on your system use view.

unpywall view 10.1038/nature12373 -m browser

PDF Download

Use download if you want to store a PDF on your machine.

unpywall download 10.1038/nature12373 -f article.pdf -p ./documents

Help

You can always use help to open a description for the provided functions.

unpywall -h

Documentation

Full documentation is available at https://unpywall.readthedocs.io/.

Develop

To install unpywall, along with dev tools, run:

pip install -e '.[dev]'

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

unpywall-0.2.3.tar.gz (15.4 kB view details)

Uploaded Source

File details

Details for the file unpywall-0.2.3.tar.gz.

File metadata

  • Download URL: unpywall-0.2.3.tar.gz
  • Upload date:
  • Size: 15.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for unpywall-0.2.3.tar.gz
Algorithm Hash digest
SHA256 4b1977d4e90ae5638a851bf1a8c1c04aa092ad3f8c0137aae0d0c07038f86e68
MD5 7f4b5463743d24b147e11518ccc08842
BLAKE2b-256 1bd4c7734a4b188db5eba57c50e283ebbc05673ff0ab85b6d9485356f18643de

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page