Hugging Face Model Scraper
Pricing
Pay per event
Hugging Face Model Scraper
Collect models from Hugging Face Hub via public API endpoints. Get metadata including author, downloads, likes, lastModified, task, library, license, tags and filenames.
Pricing
Pay per event
Rating
5.0
(3)
Developer
ParseForge
Maintained by CommunityActor stats
2
Bookmarked
29
Total users
5
Monthly active users
15 hours ago
Last modified
Categories
Share
🤖 Hugging Face Model Scraper
🚀 Collect AI model data from Hugging Face Hub in minutes. Search by keyword, task, library, license, or language. Export model names, downloads, likes, tags, and metadata. No coding, no Hugging Face account required.
The Hugging Face Model Scraper collects model metadata from the Hugging Face Hub, returning 20+ fields per model: model ID, author, task type, library (PyTorch, TensorFlow, JAX), license, downloads, likes, tags, languages, pipeline tag, and model card URL. Supports keyword search with task, library, license, and language filters.
Hugging Face hosts over 800,000 AI models. This Actor queries the Hub and returns structured data ready for model scouting, benchmarking, or research dashboards.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| ML engineers, AI researchers, data scientists, MLOps teams, AI product managers, VC analysts | Model scouting, benchmarking, competitive analysis, library adoption tracking, license auditing |
📋 What the Hugging Face Model Scraper does
Five search filters:
- 🔍 Keyword search. Free-text search across model names and cards.
- 🎯 Task filter. Text generation, image classification, translation, summarization, and more.
- 📚 Library filter. PyTorch, TensorFlow, JAX, ONNX, Flax, etc.
- 📜 License filter. MIT, Apache 2.0, proprietary, custom licenses.
- 🌐 Language filter. English, Chinese, multilingual, etc.
Each model record includes model ID, author, task, library, license, downloads, likes, tags, languages, pipeline tag, last modified date, and model card URL.
💡 Why it matters: browsing Hugging Face for model comparisons means clicking through hundreds of model cards. This Actor exports structured model metadata at scale for ML benchmarking, scouting, and ecosystem analysis.
📊 Data fields
Each record includes: author, createdAt, disabled, downloads, files, gated, id, imageUrl, lastModified, likes, name, private, sha, tags, url. All 15 field names come from a real production run, so what you see here is what lands in your dataset.
⚠️ Good to Know: Hugging Face model downloads can change rapidly. Each run captures a point-in-time snapshot of the Hub's metadata.
🚀 How to use
- 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
- 🌐 Open the Actor. Go to the Hugging Face Model Scraper page on the Apify Store.
- 🎯 Set input. Enter keywords, pick a task and library.
- 🚀 Run it. Click Start and let the Actor collect your data.
- 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.
🔗 Recommended Actors
- 📚 Semantic Scholar Scraper - Academic paper data
- 📝 HTML to JSON Smart Parser - AI data extraction
- 🎤 Audio Transcriber - Speech to text
- 🎨 Modern Manga Colorizer - AI manga colorization
- 💼 HubSpot Marketplace Scraper - Marketplace data
💡 Pro Tip: browse the complete ParseForge collection for more AI and data scrapers.
⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Hugging Face, Inc. All trademarks mentioned are the property of their respective owners. Only publicly available Hub metadata is collected.
🆘 Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
