Hugging Face Scraper — Trending Models, Datasets & Spaces

Scrape Hugging Face models, datasets and Spaces, sorted by trending score, likes, downloads or recency. Each row has the repo id and URL, likes, downloads, trending score, task (pipeline tag), library, license and created/modified dates. Filter by organisation (e.g. google, meta-llama), model task (e.g. text-generation) or a search term. It uses the official Hugging Face Hub API: no login, browser or proxy.

What does this Hugging Face scraper do?

It calls the Hub's public /api/models, /api/spaces and /api/datasets endpoints with your sort and filters and returns tidy rows, all three types in one run if you want. The default input returns the current top trending models and Spaces in a few seconds. A Hugging Face token is optional.

Why use it?

• Official public Hub API — no scraping
• Models, Spaces and datasets in one run
• Filter by task (e.g. text-generation) or org
• Fail-loudly empty-result guard

Data source

Hugging Face Hub public REST API (https://huggingface.co/docs/hub/api).

Input

• types: models / spaces / datasets
• sort: trendingScore, likes, downloads, createdAt, lastModified
• search: Name search
• author: Org filter
• pipelineTag: Model task
• limitPerType: Rows per type
• hfToken: Optional token

Example input:

{
  "types": [
    "models"
  ],
  "sort": "trendingScore",
  "pipelineTag": "text-generation",
  "limitPerType": 50
}

Output

Each dataset item looks like this:

{
  "type": "model",
  "id": "google/embeddinggemma-2",
  "url": "https://huggingface.co/google/embeddinggemma-2",
  "likes": 2189,
  "downloads": 135175,
  "trendingScore": 1223,
  "license": "apache-2.0"
}

Export as JSON, CSV, Excel or HTML, or pull via the Apify API, webhooks, Make, Zapier, n8n or the Apify MCP server.

How much does it cost?

Pay per event: $0.001 per run + $0.001 per result (≈ $1.00 per 1,000 results). You are never charged for results on a failed run: if no data is found, the run fails loudly with an explanation instead of returning an empty "success".

Use cases

• AI newsletters and directories sourcing what's hot
• Investors tracking open-model momentum
• MLOps teams watching new releases from key orgs
• Daily trending dashboards

Scheduling & monitoring

Schedule it daily or weekly in Apify Console and connect a webhook/Slack/email integration to get new items automatically.

FAQ

Is this legal? It uses the official public Hugging Face Hub API. Only public repo metadata is returned. No personal data is collected.

Something broke? Open an issue on the Issues tab; the actor is tested daily.

Tips

Tip: track model momentum. Schedule a daily run and keep each dataset; comparing likes and downloads across days shows which models and Spaces are gaining fastest, not just which are big.

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