A package based on SciHub and Google Scholar that can download articles given DOI, website address or keywords.
Project description
getarticle
Description
getarticle
is a package based on SciHub and Google Scholar that can download articles given DOI, website address or keywords.
Install
Using pip
to install:
# for latest version (recommended)
pip install git+https://github.com/HTian1997/getarticle.git
# for last release
pip install getarticle
Features & Usage
getarticle
can be imported in Python or used as command line.
To use in command line:
usage: getarticle [-h] -i INPUT [-o OUTPUT]
getarticle CLI
optional arguments:
-h, --help show this help message and exit
-i INPUT, --input INPUT
article DOI or website
-o OUTPUT, --output OUTPUT
download direction
Example:
getarticle -i 10.1126/science.abc7424 -o /Users/haotian/Desktop
To use in Python:
- Initialization
from getarticle import GetArticle
ga = GetArticle()
- Download a single article given DOI or website address.
ga.input_article("10.1126/science.abc7424")
ga.download()
Notes:
- Once downloaded, all stored articles will be cleared;
- For
download
function,direction
argument is the current location by default; - Downloaded article is named as either "article title.pdf" if successfull or "year-month-day-hour-minute-second.pdf".
- Download multiple articles.
ga.input_article("https://www.nature.com/articles/s41594-020-0468-7#article-info")
ga.input_article("10.1038/s41893-020-0581-y")
ga.download()
Notes:
- Repeatedly using
article
function can save multiple articles. getarticle
will not save & download duplicate articles;
- Download related articles given keywords. Keywords can be article names, research fields or author names.
ga.search("Deep Dive into Machine Learning Models for Protein Engineering")
ga.search("SARS, Computation", num_of_page=2)
ga.search("Roberta Croce")
ga.download()
Notes:
num_of_page
is the corresponding number of page in Google Scholar.num_of_page
is 1 by default.
- Show currently stored articles / delete article by index.
ga.cur_articles()
ga.remove_article()
License
MIT
Project details
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