paper-fetch

To download scientific PDFs automatically, you provide a DOI or paper title and the tool resolves it across open-access repositories like Unpaywall, Semantic Scholar, arXiv, and bioRxiv. It retrieves and saves the PDF file locally without manual web searching.

Yes, you can batch download research papers by supplying a list of DOIs. The tool automates discovery and retrieval across multiple sources, saving the PDFs locally to streamline bulk acquisition workflows for large literature reviews.

Open-access PDFs are resolved by checking Unpaywall, Semantic Scholar, arXiv, PMC, and bioRxiv. Sci-Hub is queried as a last resort, ensuring high retrieval success rates for scientific papers when standard repositories lack the full text.

Yes, Python requests is sufficient for downloading academic PDFs because the tool relies on the requests library to handle HTTP interactions. It parses XML metadata using xml.etree.ElementTree to extract download links from repository APIs.

If Unpaywall or Semantic Scholar lacks the open-access PDF, the tool falls back to repositories like arXiv, PMC, and bioRxiv. If standard sources fail, Sci-Hub is used as a last resort to ensure the scientific paper is still retrieved.