PyPaperBot 0.9.5.1

PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.

PyPaperBot

PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub. The tool tries to download papers from different sources such as PDF provided da Scholar, Scholar related links, and Scihub. PyPaerbot is also able to download the bibtex of each paper.

Features

• Download papers given a query
• Download papers given paper's DOIs
• Download papers given a Google Scholar link
• Generate Bibtex of the downloaded paper
• Filter downloaded paper by year, journal and citations number

Installation

Use pip to install from pypi:

pip install PyPaperBot

How to use

PyPaperBot arguments:

Arguments	Description	Type
--query	Query to make on Google Scholar or Google Scholar page link	string
--doi	DOI of the paper to download (this option uses only SciHub to download)	string
--doi-file	File .txt containing the list of paper's DOIs to download	string
--scholar-pages	Number of Google Scholar pages to inspect. Each page has a maximum of 10 papers	int
--dwn-dir	Directory path in which to save the result	string
--min-year	Minimal publication year of the paper to download	int
--max-dwn-year	Maximum number of papers to download sorted by year	int
--max-dwn-cites	Maximum number of papers to download sorted by number of citations	int
--journal-filter	CSV file path of the journal filter (More info on github)	string
--restrict	0:Download only Bibtex - 1:Down load only papers PDF	int
-h	Shows the help	--

Note

You can use only one of the arguments in the following groups

• --query, --doi-file, and --doi
• --max-dwn-year and and max-dwn-cites

One of the arguments --scholar-pages, --query , and --file is mandatory The arguments --scholar-pages is mandatory when using *--query * The argument --dwn-dir is mandatory

The argument --journal-filter require the path of a CSV containing a list of journal name paired with a boolean which indicates whether or not to consider that journal (0: don't consider /1: consider) Example

The argument --doi-file require the path of a txt file containing the list of paper's DOIs to download organized with one DOI per line Example

SchiHub access

If access to SciHub is blocked in your country, consider using a free VPN service like ProtonVPN

Example

Download a maximum of 30 papers given a query and starting from 2018:

python -m PyPaperBot --query="Machine learning" --scholar-pages=3  --min-year=2018 --dwn-dir="C:\User\example\papers"

Download a paper given the DOI:

python -m PyPaperBot --doi="10.0086/s41037-711-0132-1" --dwn-dir="C:\User\example\papers"`

Download papers given a file containing the DOIs:

python -m PyPaperBot --doi-file="C:\User\example\papers\file.txt" --dwn-dir="C:\User\example\papers"`

If it doesn't work, try to use py instead of python i.e.

py -m PyPaperBot --doi="10.0086/s41037-711-0132-1" --dwn-dir="C:\User\example\papers"`

Contributions

Feel free to contribute to this project bt proposing any change, fix and enhancement on the dev branch

To do

• Tests
• Code documentation
• General improvements

Disclaimer

This application is for educational purposes only. I do not take responsibility for what you choose to do with this application.