biorxiv-database

Search bioRxiv preprints by keywords, authors, dates, and categories with JSON output.

1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/JosephWoodall/noosphere --skill biorxiv-database-josephwoodall
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: biorxiv-database
Source: https://github.com/JosephWoodall/noosphere/tree/main/.agent/skills/biorxiv-database
Command: npx skills add https://github.com/JosephWoodall/noosphere --skill biorxiv-database-josephwoodall

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Researchers often spend excessive time locating and consolidating metadata for bioRxiv preprints. This skill provides a streamlined tool to search by keywords, authors, date ranges, and categories, returning structured results that support literature reviews and trend analysis.

Core Features & Use Cases

  • Keyword and author searches across titles and abstracts, with optional category filtering, to quickly identify relevant preprints.
  • Date-range and interval-based retrieval with structured JSON output including doi, title, authors, date, category, and abstract data, enabling easy ingestion into analyses and references.
  • PDF metadata access and links to HTML pages for convenient reading, citation, and downstream processing.

Quick Start

Run the tool with appropriate flags to search bioRxiv and save the results to a JSON file.

Frequently Asked Questions about biorxiv-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search bioRxiv preprints by author and date range?

You can search bioRxiv preprints by author and date range using keyword and author queries with interval-based retrieval, receiving structured JSON output that includes doi, title, authors, date, category, and abstract data.

What is the best way to retrieve bioRxiv metadata for a literature review?

The best way to retrieve bioRxiv metadata for a literature review is using keyword and category filtering, which returns structured JSON output for easy ingestion into analyses and references, including accessible links to PDFs and HTML pages.

Can I get bioRxiv abstracts and PDF links in a structured format?

Yes, you can get bioRxiv abstracts and PDF links in a structured JSON format that includes doi, title, authors, date, category, and abstract data, providing convenient metadata access and links to HTML pages for downstream processing.

Does the bioRxiv API search tool handle pagination and rate limits?

Yes, the bioRxiv API search tool handles pagination and rate limits automatically, enabling you to retrieve preprint metadata across large result sets without hitting API constraints.

Do I need the requests library to run bioRxiv searches?

Yes, you need the requests library installed in your Python environment to run bioRxiv searches, as the tool depends on it to interact with the bioRxiv API and retrieve preprint metadata.