Access and search the bioRxiv preprint server for life sciences research and automated full-text PDF retrieval.
This skill integrates bioRxiv database search capabilities directly into your workflow, allowing for efficient retrieval of life sciences preprints. It provides advanced filtering by keyword, author, category, and date, returning structured JSON metadata including titles, abstracts, DOIs, and citation info. Ideal for researchers and data scientists, it streamlines literature reviews, research trend analysis, and automated paper downloading for full-text analysis and data mining.
Key Features
01Python API for programmatic integration into research pipelines
020 GitHub stars
03Subject category filtering across 25+ bioRxiv fields
04Advanced search by keyword, author, and specific date ranges
05Metadata retrieval including DOIs, abstracts, and citation details
06Full-text PDF download and batch processing support
Use Cases
01Tracking the latest publications and trends from specific authors or institutions
02Conducting systematic literature reviews in specific research domains
03Automating the collection of preprints for text mining and metadata analysis
