paper-scout

You can automatically download top-tier research papers from Arxiv and HuggingFace by running the paper-scout skill, which uses Python libraries like requests and BeautifulSoup to parse websites and fetch PDFs directly to a structured directory.

The best way to find trending academic research papers is using an automated discovery tool that scours HuggingFace, Arxiv, and Top-Tier Conferences, fetching and organizing notable PDFs into a structured local directory.

Yes, downloading PDFs from Top-Tier Conferences requires Python dependencies including requests for fetching data and BeautifulSoup for parsing content, along with os and shutil for maintaining the structured paper directory.

You can organize downloaded Arxiv PDFs automatically by using a scraping tool that maintains a structured directory with unique identifiers, handling multiple sources and saving fetched PDFs systematically during the download process.

Yes, you can use BeautifulSoup alongside the requests library to scrape and download academic research papers from HuggingFace, parsing the platform to identify trending papers and fetching their PDF versions automatically.