UnpaywallPDFDownloader: Automated Open Access PDF Fetcher

UnpaywallPDFDownloader is a Python-based research tool for automating the download of open-access research articles in PDF format using DOIs from a CSV file. It leverages the Unpaywall API to streamline scholarly communication and open access workflows, supporting researchers and librarians in managing academic publications efficiently.

Fetches open-access PDFs by DOI from a CSV file
Tracks progress and logs errors
Handles missing DOIs, failed downloads, and unavailable open-access versions
Plays a notification sound upon completion
Openly licensed (CC BY 4.0) for academic and commercial use with attribution
Developed and published by the University of Birmingham, School of Engineering

Official DOI for this software:
https://doi.org/10.25500/edata.bham.00001292
Publisher: University of Birmingham

Keywords: Python, PDF Downloader, Unpaywall API, Open Access, Research Tools, DOI, Academic Software, Scholarly Communication, Automation

Author: Dr. Lixu Liu, University of Birmingham
Citation: UnpaywallPDFDownloader on GitHub

Support This Project

This project is available both as a web application at openaccesspdfdownloader.verdemetrix.com and as open-source code for local use. Your donations help support:

Web application maintenance - Server costs, updates, and reliability
Local app interface development - New features and improvements for the desktop version
Ongoing development and bug fixes for both platforms

Support via: GitHub Sponsors | Ko-fi