getarticle 0.1.0

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 (developer)
pip install git+https://github.com/HTian1997/getarticle.git

# for last release (stable)
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
  -s SEARCH [SEARCH ...], --search SEARCH [SEARCH ...]
                        search keywords
  -o OUTPUT, --output OUTPUT
                        download direction
  -sd SETDIRECTION, --setdirection SETDIRECTION
                        set default download direction

Example:

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

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

Tip: If the DOI contains parentheses, add "" around the DOI.

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.

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 number of page in Google Scholar, 1 by default.

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

ga.cur_articles()

ga.remove_article()

License

MIT