biorxiv-database

You can search bioRxiv preprints by keyword, author, and date range using Python workflows that query the bioRxiv database and return structured JSON metadata including titles, abstracts, and DOIs. Category filtering is also supported to narrow results.

Yes, you can download bioRxiv preprint PDFs for full-text analysis. The skill provides a robust interface to fetch paper details by DOI and retrieve PDF files directly within your Python scripts for downstream processing.

Retrieving bioRxiv preprint details by DOI returns structured JSON with citation-ready information. This includes paper titles, abstracts, DOIs, and other consistent metadata fields formatted for immediate use in literature reviews.

No, manual rate limit management is not required. The skill handles rate-limited requests automatically, providing a robust interface that ensures consistent result formatting and prevents API throttling during bioRxiv metadata retrieval.

The best way to filter bioRxiv literature search results is by using the built-in category filtering feature. This allows you to narrow keyword and author searches to specific bioRxiv categories, returning structured metadata for targeted literature reviews.

Yes, the requests library is required. It serves as the dependency for making rate-limited requests to the bioRxiv database, enabling you to execute searches and retrieve structured metadata within your Python scripts.