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A tool for parsing academic papers

Project description


Parses academic paper information from URLs.

This is a project by Winder Research, a Cloud-Native Data Science consultancy.


pip install paperparser



$ paperparser --help                                
Usage: paperparser [OPTIONS] URL STRATEGY

  Parse the bibtex from a URL using the STRATEGY.

  --version  Show the version and exit.
  --help     Show this message and exit.

$ paperparser arxiv
{'title': 'Off-Policy Deep Reinforcement Learning without Exploration', 'journal': 'CoRR', 'volume': 'abs/1812.02900', 'year': '2018', 'url': 
'', 'archivePrefix': 'arXiv', 'eprint': '1812.02900', 'timestamp': 'Tue, 01 Jan 2019 15:01:25 +0100', 'biburl': '', 'bibsource': 'dblp computer science bibliography,'}


from paperparser import page

p = page.BibTeXPage(url=url, strategy=strategy)



Parses bibtex from dblp and abstracts directly.


Parses bibtex and abstracts directly.


Parses bibtex via the doi from scipython and abstracts directly.

Project details

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Files for paperparser, version 0.2.1
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Filename, size PaperParser-0.2.1.tar.gz (4.7 kB) File type Source Python version None Upload date Hashes View

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