danielfrees/scrapemed
ScrapeMed: Data scraping for PubMed Central.
This tool helps researchers and data scientists gather, clean, and organize medical research papers from PubMed Central (PMC). It takes raw PMC article data and transforms it into structured, usable 'Paper' objects or datasets. Scientists, medical researchers, and data analysts working with large volumes of biomedical literature would find this valuable.
No commits in the last 6 months. Available on PyPI.
Use this if you need to systematically collect, process, and analyze a large number of research articles from PubMed Central for data science projects, literature reviews, or AI model training.
Not ideal if you only need to look up a few articles manually or if your research data comes from sources other than PubMed Central.
Stars
15
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 06, 2024
Commits (30d)
0
Dependencies
15
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/danielfrees/scrapemed"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
docarray/docarray
Represent, send, store and search multimodal data
primeqa/primeqa
The prime repository for state-of-the-art Multilingual Question Answering research and development.
CogStack/CogStack-Pipeline
Distributed, fault tolerant batch processing for Natural Language Applications and Search, using...
algoprog/Quin
An easy to use framework for large-scale fact-checking and question answering
ekatraone/Mobius-v1
Ekatra QnA is a student-focused intelligent search engine that enables them to find answers...