biorxiv-database

To search bioRxiv preprints and download PDFs, you can use keyword, author, date-range, and category filters to retrieve matching metadata and fetch the full texts. This automates locating recent life-sciences studies and archiving them locally.

Searching for bioRxiv preprints returns structured JSON containing titles, abstracts, DOIs, authors, publication dates, and license information. This consistent schema ensures you can systematically compare literature across life-sciences categories.

Yes, you can filter bioRxiv preprint searches by specific life-sciences categories and date ranges. The system applies these filters via API calls to ensure you retrieve only the most relevant metadata for your literature review.

The best way to track a specific author's preprints on bioRxiv is to apply the author filter during your search. This retrieves their formatted metadata and provides optional PDF downloads for tracking their recent studies.

Yes, you need the requests library to execute API calls to bioRxiv, handle pagination, and process category filtering. This dependency is required to fetch and format the preprint search results into a consistent schema.

Limitations of using API calls to search bioRxiv preprints include handling pagination boundaries and strict category filtering constraints. You must manage these API parameters correctly to avoid incomplete metadata retrieval during literature reviews.