biorxiv-database

You can search bioRxiv preprints by providing keywords, author names, and specific date ranges to retrieve structured metadata. The tool processes these parameters to return matching papers with titles, abstracts, DOIs, and category details.

Yes, you can download full-text PDFs for selected bioRxiv papers after retrieving their metadata. This functionality enables offline analysis and citation review directly from the queried search results.

Querying the bioRxiv database returns structured JSON data containing DOIs, titles, abstracts, authors, and categories. This structured output supports direct integration into downstream data analysis workflows.

Yes, the bioRxiv search tool requires a Python environment and depends on the requests package to function. It provides a ready-to-run CLI that uses this dependency to query the API and fetch preprint data.

You can filter bioRxiv preprint searches by applying category filters alongside your keyword and date range queries. The CLI supports these options to narrow down results to specific life sciences fields.

The best way to export bioRxiv metadata for a literature review is using the tool's JSON output format. Querying by date windows and keywords yields structured data with DOIs and abstracts, ready for downstream synthesis.