PyPaperBot is a Python tool for downloading scientific papers using Google Scholar, Crossref, and SciHub.
Project description
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 by Scholar, Scholar related links, and Scihub. PyPaperbot 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
For normal Users
Use pip
to install from pypi:
pip install PyPaperBot
If on windows you get an error saying error: Microsoft Visual C++ 14.0 is required.. try to install Microsoft C++ Build Tools or Visual Studio
For Termux users
Since numpy cannot be directly installed....
pkg install wget
wget https://its-pointless.github.io/setup-pointless-repo.sh
pkg install numpy
export CFLAGS="-Wno-deprecated-declarations -Wno-unreachable-code"
pip install pandas
and
pip install PyPaperbot
How to use
PyPaperBot arguments:
Arguments | Description | Type |
---|---|---|
--query | Query to make on Google Scholar or Google Scholar page link | string |
--cites | Paper ID (from scholar address bar when you search cites) if you want get only citations of that paper | 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 or range of Google Scholar pages to inspect. Each page has a maximum of 10 papers | string |
--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 |
--scihub-mirror | Mirror for downloading papers from sci-hub. If not set, it is selected automatically | string |
--scholar-results | Number of scholar results to bedownloaded when --scholar-pages=1 | int |
--proxy | Proxies to be used. Please specify the protocol to be used. | string |
--single-proxy | Use a single proxy. Recommended if using --proxy gives errors. | string |
--selenium-chrome-version | First three digits of the chrome version installed on your machine. If provided, selenium will be used for scholar search. It helps avoid bot detection but chrome must be installed. | 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
Use the --proxy argument at the end of all other arguments and specify the protocol to be used. See the examples to understand how to use the option.
SciHub access
If access to SciHub is blocked in your country, consider using a free VPN service like ProtonVPN Also, you can use proxy option above.
Example
Download a maximum of 30 papers from the first 3 pages given a query and starting from 2018 using the mirror https://sci-hub.do:
python -m PyPaperBot --query="Machine learning" --scholar-pages=3 --min-year=2018 --dwn-dir="C:\User\example\papers" --scihub-mirror="https://sci-hub.do"
Download papers from pages 4 to 7 (7th included) given a query:
python -m PyPaperBot --query="Machine learning" --scholar-pages=4-7 --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"`
Search papers that cite another (find ID in scholar address bar when you search citations):
python -m PyPaperBot --cites=3120460092236365926
Using a proxy
python -m PyPaperBot --query=rheumatoid+arthritis --scholar-pages=1 --scholar-results=7 --dwn-dir=/download --proxy http://1.1.1.1::8080 https://8.8.8.8::8080
In termux, you can directly use PyPaperBot
followed by arguments...
Contributions
Feel free to contribute to this project by 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.
Donation
If you like this project, you can give me a cup of coffee :)
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