🤖 Hugging Face Model Scraper

Collect AI models from Hugging Face Hub with zero code. Get comprehensive metadata like downloads, likes, task types, libraries, and author info from one of the world's largest AI model repositories. Perfect for researchers tracking model trends, teams benchmarking frameworks, or anyone needing Hugging Face model data csv export without complex setup.

The Hugging Face Model Scraper collects up to 1,000,000 models with complete metadata across 22 data fields per model.

✨ What Does It Do

• 🖼️ Image URL displays model thumbnail or preview image in your dataset viewer
• 📝 Model ID is the unique identifier used for downloading and referencing the model
• 👤 Author shows the creator or organization that published the model to identify source quality
• 📊 Downloads tracks model popularity and adoption metrics across your collection
• 💗 Likes reveals community engagement metric to gauge user satisfaction
• 🎯 Task Type categorizes the pipeline classification to organize models by use case
• 📚 Library/Framework identifies the machine learning framework for compatibility filtering
• 🏷️ License shows the license type to ensure compliance with your legal requirements

🔧 Input

• Max Items controls how many models to collect (free users: up to 100, paid users: up to 1,000,000)
• Search Query finds models by name or keywords like bert, gpt, or stable diffusion
• Task Filter narrows results to specific machine learning tasks such as text classification or image generation
• Library Filter limits results to specific frameworks like transformers, diffusers, or timm
• License Filter finds models with specific licenses like apache 2.0, mit, or creative commons
• Language Filter isolates models for particular languages like English, Chinese, or multilingual
• Sort By orders results by downloads, likes, last modified date, or trending
• Sort Direction lets you choose ascending or descending order for your results

Example input:

{
  "maxItems": 50,
  "query": "bert",
  "task": "text-classification",
  "library": "transformers",
  "license": "apache-2.0",
  "language": "en",
  "sort": "downloads",
  "direction": "desc"
}

📊 Output

Each model includes up to 22 data fields. Download as JSON, CSV, or Excel.

🖼️ Image URL	📝 Model ID	👤 Author
📊 Downloads	💗 Likes	🎯 Task Type
📚 Library	🏷️ License	📅 Created Date
📅 Last Modified	🌍 Languages	📋 Tags
💾 Files	📝 Description	✅ Private Status
⛔ Gated Status	🔒 Disabled Status	🔐 Commit SHA
📌 URL	📚 Datasets	📊 Metrics
❌ Error (if any)

💎 Why Choose the Hugging Face Model Scraper?

Feature	Our Actor	Similar Scrapers
No authentication required	✔️	Partial
Up to 1,000,000 models per run	✔️	❌
22+ output data fields	✔️	Partial
Filter by task, library, license, language	✔️	❌
Sort by downloads, likes, trending, modified	✔️	Partial
License compliance tracking	✔️	❌
File information included	✔️	❌
Author and organization info	✔️	✔️
Data download in multiple formats	✔️	✔️
Works on free and paid accounts	✔️	Partial
Real-time model metadata	✔️	Partial
Duplicate removal handling	✔️	❌

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for Hugging Face Model Scraper in the Apify Store and configure your filters
3. Run It: Click Start and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in multiple formats.

🎯 Business Use Cases

• 📊 ML Researchers monitor trends across 1 million plus models to identify emerging frameworks and discover candidate models for your next benchmark paper
• 💼 AI Product Managers track competitor model releases by library and task type weekly to adjust feature priorities before your roadmap meeting
• 🔬 Data Scientists build a searchable inventory of models by license type and language to quickly find compliant models for multilingual deployment projects

❓ FAQ

🔍 How does it work? The scraper connects to Hugging Face to collect model metadata without requiring authentication. It retrieves model details and outputs clean, structured data ready for analysis.

📊 Is the data accurate? Yes. Data comes directly from Hugging Face, so download counts, likes, and metadata match the live Hub exactly.

📅 Can I schedule runs? Absolutely. Set up recurring runs on the Apify platform to monitor model trends over time or refresh your dataset daily.

⚖️ Is this legal? Yes. Hugging Face provides this data publicly for access. However, you must follow Hugging Face's Terms of Service and applicable local laws regarding data usage.

🛡️ Will Hugging Face block me? No. This actor uses standard requests with proper user agent headers, so you will not face blocking or IP restrictions.

⚡ How long does a run take? Collecting 100 models takes approximately 2 to 5 minutes depending on query complexity and response times. Larger runs of 10000 plus models may take 30 to 60 minutes.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate Hugging Face Model Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Hugging Face or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.