biorxiv-database

To search bioRxiv preprints, use keyword, author, and date-range queries with optional category filtering. This retrieves structured metadata for relevant preprints, enabling efficient literature reviews and rapid scouting of recent work.

Downloading bioRxiv PDFs for offline analysis is supported directly through the tool. It performs safe, rate-limited HTTP requests to fetch PDFs alongside metadata, providing clear fallbacks when network issues occur during the download process.

Yes, you can export bioRxiv search results to JSON. The tool formats retrieved preprint metadata locally, allowing you to save structured outputs for downstream pipelines, meta-analyses, and systematic literature reviews.

The bioRxiv search tool requires the Python requests library to handle API-driven data retrieval. It uses requests to perform safe, rate-limited HTTP queries for fetching preprint metadata and PDFs across specified date ranges.

When network issues occur during bioRxiv metadata retrieval, the tool provides clear fallbacks. It is designed with safe, rate-limited HTTP requests to handle API-driven data fetching robustly without crashing during transient network failures.

Filtering bioRxiv preprint searches by subject categories is a core feature. You can apply category filters alongside keyword, author, and date-range queries to narrow down structured metadata retrieval for targeted literature reviews.