doi search and return metadata
Auto fetch Meta data Entries
This repository is intended as a starting point for fetching metadata from online sites.
It is to be integrated into the ColLi backend for the collaborative Literature management.
The following packages have to be installed:
python3 BeautifulSoup4 URLlib python bibtexparser
to install under Ubuntu:
apt install python3 python3-bs4 python3-urllib3 python3-bibtexparser
Alternatively, just install python3 and do the rest via pip from the project directory:
pip install -r requirements.txt
Adding more sites.
If there is no parser for a specific site, it can be created in the sites folder.
Naming convention is, that the file name and the class name inside this file must be the domain name without any subdomains or top-level domains.
https://dl.acm.org/ it is just
An example is provided in sites/example.py
Every class must be a subclass of
landingPage and can implement one of the following functions:
def getBibTeX(self, link, soup): return None def getDict(self, link, soup): return None
Parameters are in both cases the URL of the landing page of the DOI resolver and the page as a parsed beautifulsoup object.
They are seperated by their return value.
getBibTeX must return a valid BibTeX entry or None. getDict must return a python Dictionary with the field names according to the Dublin Core Standard.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|metadata_expander-0.2.4-py3-none-any.whl (12.7 kB) Copy SHA256 hash SHA256||Wheel||py3|
|metadata_expander-0.2.4.tar.gz (11.8 kB) Copy SHA256 hash SHA256||Source||None|