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🤖 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.

🕒 Last updated: 2026-04-23 · 📊 20+ fields per model · 🔍 5 search filters · 📊 Download + like counts · 🚫 No auth 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.

📋 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.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

⚙️ Input

Example: text generation models with Apache 2.0 license.

{
"query":"llama",
"task":"text-generation",
"license":"apache-2.0"
}

Example: image classification models in PyTorch.

{
"task":"image-classification",
"library":"transformers"
}

⚠️ Good to Know: Hugging Face model downloads can change rapidly. Each run captures a point-in-time snapshot of the Hub's metadata.

📊 Output

Each model record contains 20+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 Hugging Face hosts over 800,000 AI models. Structured access to this metadata powers every ML benchmarking, model scouting, and ecosystem analysis workflow.

📈 How it compares to alternatives

Pick this Actor when you want Hugging Face model data on demand, with task and library filters, without writing API client code.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Hugging Face Model Scraper page on the Apify Store.
3. 🎯 Set input. Enter keywords, pick a task and library.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 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.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating Hugging Face Model Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Weekly pulls keep your model intelligence database fresh.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🧩 How does it work?

Enter search terms and filters, click Start, and the Actor queries the Hugging Face Hub, returning one structured record per model.

📏 How accurate is the data?

Data comes from Hugging Face's public Hub API. Downloads, likes, and metadata reflect the current state of the Hub at the time of the run.

📊 Does it include download counts?

Yes. Each model record includes total downloads and likes as reported by the Hub.

📜 Can I filter by license?

Yes. Use the license filter to restrict results to MIT, Apache 2.0, or any other license type.

🎯 Which tasks are supported?

All Hugging Face pipeline tasks: text-generation, image-classification, translation, summarization, question-answering, token-classification, and dozens more.

⏰ Can I schedule regular runs?

Yes. Use Apify Schedules to run this Actor weekly and track model ecosystem changes over time.

⚖️ Is this data legal to use?

The Actor uses the public Hugging Face Hub API. Review their terms of service for your specific use case.

💼 Can I use this data commercially?

Yes, for analytics, research, and internal dashboards. The metadata is public. Individual model licenses vary.

💳 Do I need a paid Apify plan to use this Actor?

No. The free Apify plan is enough for testing. A paid plan lifts the item limit.

🔁 What happens if a run fails or gets interrupted?

Apify automatically retries transient errors. Partial datasets from failed runs are preserved.

🆘 What if I need help?

Our support team is here to help. Contact us through the Apify platform or use the Tally form linked below.

🔌 Integrate with any app

Hugging Face Model Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe model data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh model data into your ML platform, or alert your team in Slack.

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💡 Pro Tip: browse the complete ParseForge collection for more AI and data scrapers.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

⚠️ 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.