getarticle-dev 0.0.7

A package based on SciHub and Google Scholar that can download articles given DOI, website address or keywords.

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] [-sd SETDOWNLOAD]

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
  -sd SETDOWNLOAD, --setdownload SETDOWNLOAD
                        set default download direction

Example:

getarticle -i 10.1126/science.abc7424 -o /Users/haotian/Desktop

The download direction is the current direction in terminal by default. To change the default download direction, use -sd option.

Example:

getarticle -sd /Users/haotian/Downloads

# will download to /Users/haotian/Downloads folder
getarticle -i 10.1126/science.abc7424

getarticle can also download article of the current webpage (only supported for MacOS Safari).

Example:

# current Safari webpage: 
# https://www.nature.com/articles/s41467-020-16670-2

# download article of current webpage to default direction
getarticle

To use in Python:

0. Initialization

from getarticle import GetArticle

ga = GetArticle()

1. 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 direction by default;
• Downloaded article is named as either "article title.pdf" if successfull or "year-month-day-hour-minute-second.pdf".

2. 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;

3. Download related articles given keywords. Keywords can be article names, research fields or author names. (This feature is under development.)

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.

4. Show currently stored articles / delete article by index.

ga.cur_articles()

ga.remove_article()

License

MIT