MIT License

项目介绍

Tishacy/SciDownl 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 MIT License 许可证,目前获得 330 个 Star、55 次 Fork。

仓库全名
Tishacy/SciDownl
开源许可证
MIT License
Star 数
330
Fork 数
55
未关闭 Issue
18

README 摘要

SciDownl An unofficial api for downloading papers from SciHub. Support downloading with DOI, PMID or TITLE. Easy to update newest SciHub domains. Ready for changes: Encapsulate possible future changes of SciHub as configurations. Support proxies. Quick Usage Installation Install with pip Scidownl could be easily install with pip. Install from source code Usage Command line tool 1. Update available SciHub domains…

完整内容见 GitHub 原始 README 或本页 。

常见问题

SciDownl 用什么语言开发?

主要使用 Python 编写,采用 MIT License 许可证,目前有 330 个 Star。

SciDownl 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 SciDownl 的源码?

可以直接克隆仓库:git clone https://github.com/Tishacy/SciDownl.git,默认分支为 main;安装与运行步骤见仓库 README。

SciDownl 最近还在维护吗?

仓库最近一次更新为 2024年2月11日,当前有 18 个未关闭 Issue;Star 数为 330,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

An unofficial api for downloading papers from SciHub via DOI, PMID, title

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
444
价值分
214
活跃状态
活跃

语言占比

Python

Release

贡献者

README

SciDownl

An unofficial api for downloading papers from SciHub.

  • Support downloading with DOI, PMID or TITLE.
  • Easy to update newest SciHub domains.
  • Ready for changes: Encapsulate possible future changes of SciHub as configurations.
  • Support proxies.

Quick Usage

# Download with a DOI and filenmae is the paper's title.
$ scidownl download --doi https://doi.org/10.1145/3375633

# Download with a PMID and a user-defined filepath
$ scidownl download --pmid 31395057 --out ./paper/paper-1.pdf

# Download with a title
$ scidownl download --title "ImageNet Classification with Deep Convolutional Neural Networks" --out ./paper/paper-1.pdf

# Download with a proxy: SCHEME=PROXY_ADDRESS 
$ scidownl download --pmid 31395057 --out ./paper/paper-1.pdf --proxy http=socks5://127.0.0.1:7890

Installation

Install with pip

Scidownl could be easily install with pip.

$ pip3 install -U scidownl

Install from source code

$ git clone https://github.com/Tishacy/SciDownl.git
$ cd Scidownl && python3 setup.py install

Usage

Command line tool

$ scidownl -h
Usage: scidownl [OPTIONS] COMMAND [ARGS]...

  Command line tool to download pdfs from Scihub.

Options:
  -h, --help  Show this message and exit.

Commands:
  config         Get global configs.
  domain.list    List available SciHub domains in local db.
  domain.update  Update available SciHub domains and save them to local db.
  download       Download paper(s) by DOI or PMID.

1. Update available SciHub domains

$ scidownl domain.update --help
Usage: scidownl domain.update [OPTIONS]

  Update available SciHub domains and save them to local db.

Options:
  -m, --mode TEXT  update mode, could be 'crawl' or 'search', default mode is
                   'crawl'.
  -h, --help       Show this message and exit.

There are 2 update modes that you could specify with an option: -m or --mode

  • crawl: [Default] Crawling the real-time updated SciHub domains website (aka, SciHub domain source) to get available SciHub domains. The SciHub domain source website url is configured in the global config file in the section [scihub.domain.updater.crawl] with the key of scihub_domain_source. You could use scidownl config --location to show the location of the global config file and edit it.

    ; Global config file: global.ini
    ; ...
    [scihub.domain.updater.crawl]
    scihub_domain_source = http://tool.yovisun.com/scihub
    ; ...
    

    An example of using crawl mode:

    $ scidownl domain.update --mode crawl
    [INFO] | 2022/03/07 21:07:50 | Found 6 valid SciHub domains in total: ['http://sci-hub.ru', 'http://sci-hub.se', 'https://sci-hub.ru', 'https://sci-hub.st', 'http://sci-hub.st', 'https://sci-hub.se']
    [INFO] | 2022/03/07 21:07:50 | Saved 6 SciHub domains to local db.
    
  • search:Generate combinations according to the rules of SciHub domains and search for available SciHub domains. This will take longer than crawl mode.

    An example of using search mode:

    $ scidownl domain.update --mode search
    [INFO] | 2022/03/07 21:08:44 | # Search valid SciHub domains from 1352 urls
    [INFO] | 2022/03/07 21:08:48 | # Found a SciHub domain url: https://sci-hub.ru
    [INFO] | 2022/03/07 21:08:48 | # Found a SciHub domain url: https://sci-hub.st
    ...
    [INFO] | 2022/03/07 21:09:04 | Found 6 valid SciHub domains in total: ['https://sci-hub.ru', 'https://sci-hub.st', ...]
    [INFO] | 2022/03/07 21:09:04 | Saved 6 SciHub domains to local db.
    

2. List all saved SciHub domains

SciDownl use SQLite as the local database to store all updated SciHub domains locally. You can list all saved SciHub domains with the command domain.list.

$ scidownl domain.list
+--------------------+----------------+---------------+
| Url                |   SuccessTimes |   FailedTimes |
|--------------------+----------------+---------------|
| http://sci-hub.ru  |              0 |             0 |
| https://sci-hub.ru |              0 |             0 |
| https://sci-hub.st |              0 |             0 |
| http://sci-hub.st  |              0 |             0 |
| https://sci-hub.se |              0 |             0 |
| http://sci-hub.se  |              0 |             0 |
+--------------------+----------------+---------------+

In addition to the easy-to-understand Url column, the SuccessTimes column is used to record the number of successful paper downloads using this Url, and the FailedTimes column is used to record the number of failed paper downloads using this Url. These two columns are used to calculate the priority of choosing a SciHub domain when downloading papers.

3. Download papers

$ scidownl download --help
Usage: scidownl download [OPTIONS]

  Download paper(s) by DOI or PMID.

Options:
  -d, --doi TEXT         DOI string. Specifying multiple DOIs is supported,
                         e.g., --doi FIRST_DOI --doi SECOND_DOI ...
  -p, --pmid INTEGER     PMID numbers. Specifying multiple PMIDs is supported,
                         e.g., --pmid FIRST_PMID --pmid SECOND_PMID ...
  -t, --title TEXT       Title string. Specifying multiple titles is
                         supported, e.g., --title FIRST_TITLE --title
                         SECOND_TITLE ...
  -o, --out TEXT         Output directory or file path, which could be an
                         absolute path or a relative path. Output directory
                         examples: /absolute/path/to/download/,
                         ./relative/path/to/download/, Output file examples:
                         /absolute/dir/paper.pdf, ../relative/dir/paper.pdf.
                         If --out is not specified, paper will be downloaded
                         to the current directory with the file name of the
                         paper's title. If multiple DOIs or multiple PMIDs are
                         provided, the --out option is always considered as
                         the output directory, rather than the output file
                         path.
  -u, --scihub-url TEXT  Scihub domain url. If not specified, automatically
                         choose one from local saved domains. It's recommended
                         to leave this option empty.
  -h, --help             Show this message and exit.
Download papers with DOI(s), PMID(s) or TITLE(s)

Using option -d or --doi to download papers with DOI, option -p or --pmid to download papers with PMID, and option -t or --title to download papers with titles. You can specify these options for multiple times, and even mix of them.

# with a single DOI
$ scidownl download --doi https://doi.org/10.1145/3375633

# with multiple DOIs
$ scidownl download --doi https://doi.org/10.1145/3375633 --doi https://doi.org/10.1145/2785956.2787496

# with a single PMID
$ scidownl download --pmid 31395057

# with multiple PMIDs
$ scidownl download --pmid 31395057 --pmid 24686414

# with a single title
$ scidownl download --title "ImageNet Classification with Deep Convolutional Neural Networks"

# with multiple titles
$ scidownl download --title "ImageNet Classification with Deep Convolutional Neural Networks" --title "Aggregated residual transformations for deep neural networks"

# with a mix of DOIs and PMIDs
$ scidownl download --doi https://doi.org/10.1145/3375633 --pmid 31395057 --pmid 24686414
Customize the output location of papers

By default, the downloaded paper is named by the paper’s title. With option -o or --out,you can customize the output location of downloaded papers, whcih could be an absolute path or a relative path, and a direcotry or a file path.

  • Output the paepr to a directory:

    $ scidownl download --pmid 31395057 --out /absolute/path/of/a/directory/
    # NOTE that the '/' at the end of the directory path is required, otherwise the last segment will be treated as the filename rather than a directory.
    
    $ scidownl download --pmid 31395057 --out ../relative/path/of/a/directory/
    # The '/' at the end of the directory path is required too.
    
  • Output the paper with the file path.

    $ scidownl download --pmid 31395057 --out /absolute/dir/paper.pdf
    $ scidownl download --pmid 31395057 --out ../relative/dir/paper.pdf
    $ scidownl download --pmid 31395057 --out relative/dir/paper.pdf
    $ scidownl download --pmid 31395057 --out paper  # will be downlaoded as ./paper.pdf
    

NOTE that if there are more than one papers to be downloaded, the value of the --out option will always be considered as a directory, rather than a file path.

$ scidownl download --pmid 31395057 --pmid 24686414 --out paper
# will be downloaded to ./paper/ directory:
#  ./paper/<paper-title-1>.pdf
#  ./paper/<paper-title-2>.pdf

If some directories in the option are not exist, SciDownl will create them for you :smile:.

Use a specific SciHub url

With option -u or --scihub-url, you could use a specific SciHub url you want, rather than let SciDownl automatically choose one for you from local saved SciHub domains. It’s recommended to let SciDownl choose a SciHub url, so you don’t need to use this option in normal use.

$ scidownl download --pmid 31395057 --scihub-url http://sci-hub.se

Module use

You could use scihub_download function to download papers.

from scidownl import scihub_download

paper = "https://doi.org/10.1145/3375633"
paper_type = "doi"
out = "./paper/one_paper.pdf"
proxies = {
    'http': 'socks5://127.0.0.1:7890'
}
scihub_download(paper, paper_type=paper_type, out=out, proxies=proxies)

More examples could be seen in examples.

LICENSE

Copyright © 2022 tishacy.

Licensed under the MIT License.

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