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Hugging Face Scraper - Trending Models, Datasets & Spaces

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from $10.00 / 1,000 results

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Hugging Face Scraper - Trending Models, Datasets & Spaces

Hugging Face Scraper - Trending Models, Datasets & Spaces

Scrape trending, most-downloaded and most-liked Hugging Face models, datasets and spaces. Filter by author, task or keyword. No token required.

Pricing

from $10.00 / 1,000 results

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Developer

Arjun Annamalai

Arjun Annamalai

Maintained by Community

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2

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1

Monthly active users

5 days ago

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Hugging Face Scraper πŸ€— β€” Trending Models, Datasets & Spaces

Track the Hugging Face ecosystem programmatically. Scrape trending, most-downloaded, and most-liked models, datasets, and spaces β€” filter by author, task, or keyword β€” straight to a dataset you can export as JSON/CSV/Excel. No token required.

Perfect for ML teams tracking releases, VCs, competitive intelligence, AI newsletters, and dataset discovery.

What it does

  • Scrape models, datasets, and/or spaces in one run
  • Sort by trending, downloads, likes, recently-updated, or newest
  • Filter by search term, author/org, and task (pipeline tag)
  • Enriched fields: parsed license and derived daysSinceUpdate

Example input

{
"resourceTypes": ["models", "datasets"],
"sort": "trendingScore",
"task": "text-generation",
"maxItems": 200
}

Example output (one item per result)

{
"resourceType": "model",
"id": "zai-org/GLM-5.2",
"url": "https://huggingface.co/zai-org/GLM-5.2",
"author": "zai-org",
"downloads": 40127,
"likes": 2255,
"trendingScore": 1348,
"task": "text-generation",
"library": "transformers",
"license": "mit",
"daysSinceUpdate": 1,
"lastModified": "2026-06-23T03:56:16.000Z"
}

Use cases

  • Track model releases from a competitor org (author: "meta-llama") on a schedule.
  • Discover trending datasets for fine-tuning or RAG by task.
  • Newsletter / research β€” pull the week's top models for write-ups.
  • Market intelligence β€” monitor what's gaining traction in AI.

Run locally first

pip install -r requirements.txt
python3 local_test.py # hits the real HF API, no Apify account needed

Then publish with the Apify CLI: apify push.

Notes

  • Uses only the public Hugging Face API (https://huggingface.co/api).
  • Handles cursor pagination and rate limits automatically.
  • maxItems caps total results so costs stay predictable.

Not affiliated with Hugging Face. Reads public data only.