HuggingFace Daily Papers Scraper 🤗📄

Scrape the trending AI research papers from HuggingFace Daily Papers — title, authors, upvotes, abstract, comments, GitHub repo, and direct arXiv & HuggingFace links. No API key. Fast, cheap, and datacenter-proxy friendly.

The HuggingFace Daily Papers feed is where the machine-learning community surfaces the most important new papers every day, ranked by community upvotes. This actor turns that feed into clean, structured JSON/CSV/Excel you can drop into a newsletter, dashboard, spreadsheet, or research pipeline.

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✨ What you get

For every paper:

Field	Description
arxiv_id	The arXiv identifier (e.g. 2607.10966)
title	Paper title
authors	List of author names
summary	Abstract (capped at 5000 chars)
upvotes	Community upvotes on HuggingFace
num_comments	Number of discussion comments
github_repo	Linked code repository (if any)
github_stars	Stars on the linked repo (if any)
published_at	Publication date (ISO-8601 UTC)
thumbnail	Social preview image URL
arxiv_url	https://arxiv.org/abs/<id>
hf_url	https://huggingface.co/papers/<id>
source	Always huggingface
scraped_at	When this run captured the data

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🚀 Input

{
  "mode": "papers",
  "date": "",
  "maxItems": 100
}

Field	Type	Description
mode	select	papers — fetch the trending daily papers feed.
date	string	Optional YYYY-MM-DD (e.g. 2026-07-14). Empty = latest trending papers.
maxItems	integer	Max papers to return. Default 100, hard cap 500.

Get the latest trending papers

{ "mode": "papers", "maxItems": 50 }

Get papers for a specific day

{ "mode": "papers", "date": "2026-07-14", "maxItems": 100 }

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📤 Output sample

{
  "arxiv_id": "2607.10966",
  "title": "SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in RL",
  "authors": ["Mingyuan Wu", "Jingcheng Yang", "Shengyi Qian"],
  "summary": "We introduce Self-Verified Reasoner (SVR-R1) ...",
  "upvotes": 42,
  "num_comments": 7,
  "github_repo": "https://github.com/example/svr-r1",
  "github_stars": 128,
  "published_at": "2026-07-13T00:00:00+00:00",
  "thumbnail": "https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2607.10966.png",
  "arxiv_url": "https://arxiv.org/abs/2607.10966",
  "hf_url": "https://huggingface.co/papers/2607.10966",
  "source": "huggingface",
  "scraped_at": "2026-07-20T12:00:00+00:00"
}

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💡 Use cases

• AI research tracking — never miss a trending paper; poll daily and pipe into Slack/Notion.
• Trend discovery — spot the topics gaining upvotes fastest across the ML community.
• Newsletters — auto-generate a "Top AI papers this week" digest with links and abstracts.
• Literature review — export to Excel/CSV and triage candidate papers with authors and code links.

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💰 Pricing

Cheap by design — this hits a clean public JSON API, so runs are fast and light. Roughly ~$0.50 per 1,000 papers scraped. A daily 100-paper pull costs pennies.

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🔗 Related actors by the same author

• arXiv Scraper
• Semantic Scholar Scraper
• HuggingFace Models Scraper
• OpenAlex Scraper

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⚙️ Notes

• No login or API key required.
• Works on the free datacenter proxy (the API is not IP-gated).
• Returns one dataset item per paper.

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Keywords: huggingface scraper, daily papers, AI research scraper, arxiv scraper, trending machine learning papers, ML papers API, research paper scraper, LLM papers, AI newsletter, paper upvotes, huggingface papers api, academic scraper, deep learning papers.