Hugging Face Model Explorer
Pricing
from $20.00 / 1,000 model extracteds
Hugging Face Model Explorer
Structured export of HF models with task, library, license, download count, and parsed model-card metadata. Built for AI teams doing model selection at scale.
Pricing
from $20.00 / 1,000 model extracteds
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Developer
Vivek Gaur
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3 days ago
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Structured export of Hugging Face models matching search/filter criteria, with full model-card metadata parsed from YAML frontmatter — not raw markdown.
Why This Over the HF Website?
The HF model hub UI is great for browsing. This Actor is for teams that need to:
- Compare 50+ models programmatically (license check, task type, library)
- Feed model metadata into a selection pipeline or RAG index
- Monitor model downloads/likes over time via scheduled runs
The key differentiator: parsed model card fields (license, base model, quantization info) — most scraping attempts just return raw README markdown.
Input
| Field | Type | Default |
|---|---|---|
query | string | — |
task | string | — |
library | string | — |
sort | string | downloads |
maxResults | integer | 50 |
Output
{"modelId": "meta-llama/Llama-3.1-8B-Instruct","author": "meta-llama","downloads": 8200000,"likes": 12400,"task": "text-generation","library": "transformers","license": "llama3.1","lastModified": "2024-07-23T00:00:00Z","tags": ["llama", "facebook", "pytorch"],"cardSummary": "The Meta Llama 3.1 collection of multilingual..."}
Pricing (PPE)
| Event | Price |
|---|---|
actor-start | $0.01 |
model-item | $0.015 per model |
Related Actors
- HF Dataset Scraper — same pattern for datasets
- HF Trends & Leaderboard — track what's trending
- GitHub Org Scraper — explore the orgs behind these models