Hugging Face Daily Trending AI Papers Radar
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Hugging Face Daily Trending AI Papers Radar
Extract Hugging Face Daily Trending AI Papers data in clean JSON or CSV. Query by limit for records, engagement metrics, and metadata. Export datasets, run via API or Python/Node.js SDK, schedule runs, or integrate with webhooks with zero proxy fees.
Pricing
$0.95 / 1,000 results
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0.0
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Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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Security
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Extract daily trending machine learning research papers, community upvotes, author lists, discussion counts, and arXiv links from Hugging Face.
Features
- Scrapes the official Hugging Face daily papers feed tracking the most discussed AI breakthroughs.
- Collects paper titles, full abstracts, author rosters, community upvotes, and discussion thread counts.
- Generates direct permanent links to Hugging Face discussion hubs, arXiv abstract pages, and downloadable PDF papers.
- Operates via public endpoints with zero headless browser rendering and zero proxy requirements.
- Delivers structured records suitable for direct export to JSON, CSV, Excel, or automated research digests.
Input parameters
- Maximum Papers: Number of trending research papers to collect. Default is 50, maximum is 100.
Output dataset fields
Each dataset record contains:
- id: Unique arXiv paper identifier (for example: 2610.35450).
- title: Full research paper headline.
- summary: Abstract text summarizing the methodology and findings.
- authors: Array of contributing researcher names.
- upvotes: Total community upvotes received on Hugging Face.
- commentsCount: Total comments posted in the discussion thread.
- huggingfaceUrl: Direct link to the Hugging Face paper discussion page.
- arxivUrl: Direct link to the official arXiv abstract page.
- pdfUrl: Direct link to download the full research PDF.
- publishedAt: ISO formatted timestamp when the paper was posted.
- scrapedAt: UTC timestamp when the data was extracted.
Use cases
- AI laboratory monitoring: Follow daily breakthroughs and trending model architectures across global research groups.
- Automated newsletters: Generate automated weekly digests highlighting the most upvoted machine learning papers.
- RAG ingestion: Feed the latest academic abstracts into internal retrieval systems for technical reference.
- Citation analysis: Track community interest velocity around newly posted arXiv preprints.
