🤗 Hugging Face Scraper — AI Models, Datasets & Spaces

Scrape Hugging Face for AI/ML models, datasets, and Spaces. Search by task, library, language, or author. Extract model cards, download counts, tags, pipeline info, and trending models. Perfect for ML research, AI ecosystem analysis, and monitoring the open-source AI landscape.

This Actor uses Hugging Face's public API to deliver structured data — no authentication needed.

🚀 What does this Actor do?

Hugging Face has become the central hub for open-source AI. This Actor lets you systematically extract data from it in four modes:

• Models — Browse and search the full model registry filtered by task (text-generation, image-classification, etc.), author, sort order, and keywords
• Datasets — Discover ML datasets with metadata like size, downloads, and tags
• Spaces — List and explore Hugging Face Spaces (deployed ML demos and apps)
• Model details — Deep-dive into specific models by ID to get full model cards, pipeline tags, library info, and download statistics

Whether you're tracking trending LLMs, building an AI model directory, or researching the ML ecosystem, this Actor gives you the data in clean JSON.

💡 Use Cases

• AI market research — Track which open-source models are gaining traction by monitoring daily download counts and trending rankings
• Model discovery — Search for models by specific ML tasks (e.g., all text-generation models sorted by downloads) to find the best tool for your project
• Competitive monitoring — Track specific organizations (meta-llama, google, mistralai) to see their latest releases and model updates

📊 Output Example

{
  "id": "meta-llama/Llama-3.1-8B",
  "author": "meta-llama",
  "pipeline_tag": "text-generation",
  "downloads": 4523891,
  "likes": 1253,
  "tags": ["pytorch", "safetensors", "llama", "text-generation", "english"],
  "created": "2024-06-18T00:00:00.000Z",
  "lastModified": "2025-01-15T12:30:00.000Z",
  "library_name": "transformers",
  "modelCard": "Llama 3.1 is a family of large language models...",
  "task": "text-generation"
}

⚙️ Input Tips

🔑 Keywords

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