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HuggingFace Trending Models, Datasets & Spaces Scraper

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Pay per usage

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HuggingFace Trending Models, Datasets & Spaces Scraper

HuggingFace Trending Models, Datasets & Spaces Scraper

Scrape trending models, datasets, and spaces from HuggingFace Hub. Get download counts, likes, tags, pipeline types, licenses, and more. Sort by downloads, likes, or trending. Filter by task type.

Pricing

Pay per usage

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Developer

Julian Bracaglia

Julian Bracaglia

Maintained by Community

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1

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6 days ago

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Scrape trending models, datasets, and spaces from the HuggingFace Hub — the world's largest AI model repository with 1M+ models, 300K+ datasets, and 500K+ spaces.

Features

  • 3 data types in one run: Models, Datasets, and Spaces
  • Flexible sorting: By downloads, likes, or trending
  • Task filtering: Filter models by pipeline task (text-generation, image-classification, etc.)
  • Up to 1,000 results per type per run
  • No API key needed — uses public HuggingFace API
  • Clean structured output with normalized fields across all types
  • License extraction from tags
  • Author extraction from item IDs

Input

FieldTypeDefaultDescription
typeselectallWhat to scrape: all, models, datasets, or spaces
sortselectdownloadsSort by: downloads, likes, or trending
limitinteger100Max results per type (1-1000)
filtertextfield(empty)Filter models by pipeline task (e.g. text-generation, image-classification, translation)

Sample Input

{
"type": "all",
"sort": "downloads",
"limit": 50,
"filter": ""
}

Output

Each result item includes:

{
"type": "model",
"id": "meta-llama/Llama-3.3-70B-Instruct",
"author": "meta-llama",
"downloads": 1234567,
"likes": 1234,
"tags": ["safetensors", "text-generation", "transformers", "license:llama3.3"],
"pipeline_tag": "text-generation",
"last_modified": "2026-06-15T10:30:00.000Z",
"created_at": "2024-12-01T00:00:00.000Z",
"library_name": "transformers",
"license": "llama3.3",
"private": false,
"gated": false,
"scraped_at": "2026-07-14T20:00:00.000Z"
}

Spaces also include: sdk (gradio, streamlit, docker, etc.).

Use Cases

  • AI model research: Track which models are gaining traction
  • Market intelligence: Monitor the AI landscape for investment signals
  • Content creation: Find trending models for tutorials and reviews
  • MLOps: Discover new models for your pipeline
  • Competitive analysis: See what organizations are publishing
  • Data for AI agents: Feed model discovery data into your AI workflows via MCP

Pricing

Pay-per-result: $0.50 per 1,000 results