Pricing

Pay per event

Hugging Face Papers Scraper

Extract ML research papers from Hugging Face. Get titles, authors, abstracts, AI summaries, GitHub repos, star counts, upvotes, and keywords. Search by topic or get daily trending papers. Pure API — fast and cheap.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Other

Scraping mode

mode

Optional

Choose how to find papers. 'search' finds papers matching keywords. 'daily' gets trending papers for specific dates.

Type:string

Default:search

Options:

searchdaily

Search keywords

searchQueries

Optional

Keywords to search for papers. Each keyword runs a separate search. Used only in 'search' mode.

Type:array

Dates

dates

Optional

Dates to fetch daily trending papers (YYYY-MM-DD). Used only in 'daily' mode. Leave empty for today.

Type:array

Max papers per query/date

maxPapersPerQuery

Optional

Maximum number of papers to extract per search keyword or date.

Type:integer

Minimum:1

Maximum:200

Default:50

Include full paper details

includeDetails

Optional

Fetch full details for each paper (AI summary, keywords, GitHub info). Slower but provides richer data.

Type:boolean

Default:true

Max request retries

maxRequestRetries

Optional

Number of retry attempts for failed API requests.

Type:integer

Minimum:1

Maximum:10

Default:3

Hugging Face Papers Scraper

parseforge/huggingface-papers-scraper

Scrape AI and machine learning research papers from Hugging Face Papers. Get titles, abstracts, authors with affiliations, upvotes, publication dates, ArXiv IDs, and community discussion counts. Search by keyword or browse daily papers.

ParseForge

HuggingFace Daily Papers Scraper

tzmyk/huggingface-daily-papers-scraper

Scrapes AI/ML research papers from HuggingFace Daily Papers (huggingface.co/papers). Extracts title, authors, abstract, GitHub repo, star count, upvotes, AI summary, and keywords.

tzmyk

HuggingFaceTP

aligned_tripod/huggingfacetp

Scrapes trending research papers from HuggingFace, capturing each paper’s title, description, and URL. The scraper collects data from the listing page and visits individual paper pages for full abstracts, providing a structured dataset of the latest AI research.

amazing

Ai-ML-scraper

labrat011/ai-ml-scraper

Search AI/ML models, research papers, and trending papers from HuggingFace Hub and arXiv. No API key required.

mick_

Hugging Face Spaces Scraper

automation-lab/huggingface-spaces-scraper

Scrape Hugging Face Spaces: get space IDs, SDKs, likes, tags, authors, descriptions, and live URLs. Filter by SDK, author, or tag. Sort by likes or trending.

Stas Persiianenko

Hugging Face Scraper

automation-lab/huggingface-scraper

Extract AI models, datasets, spaces, and papers from Hugging Face Hub. Filter by task, library, author, or language. Sort by downloads, likes, or trending. No API key needed.

Stas Persiianenko

Hugging Face Datasets Scraper

automation-lab/huggingface-datasets-scraper

Scrape the Hugging Face datasets catalog. Filter by task, language, license, or author. Sort by downloads, likes, or trending. Extracts metadata for 200k+ ML datasets.

Stas Persiianenko

📄 ArXiv Scraper — Preprints & Research Data

nexgendata/arxiv-scraper

Extract papers from ArXiv — titles, abstracts, authors, categories & PDF links. Monitor new AI, physics, math & CS research. Build tracking & literature review tools. Pay per paper.

Stephan Corbeil

Semantic Scholar Scraper - Cheap 📚🔎🤖

scrapestorm/semantic-scholar-scraper---cheap

🔎 Easily collect research papers from Semantic Scholar Provide one or multiple search keywords, paper URLs or author profiles and extract structured academic data such as 📄 Paper Title👨‍🔬 Authors 📅 Publication Year 🔗 Paper URL & more Perfect for academic research & AI research monitoring 📚

Storm_Scraper

5.0

(1)

Kaggle Dataset Scraper — Search, Metadata & Trending

openclawmara/kaggle-dataset-scraper

Scrape Kaggle datasets marketplace. Modes: search by keyword/tag, dataset details (owner, license, file list, size, votes, downloads), trending, and user profiles. Extracts titles, descriptions, updated dates, usability scores. Ideal for ML dataset discovery and competitive landscape research.