Pricing

from $3.00 / 1,000 results

Hugging Face Scraper Goat

Scrape the Hugging Face Hub without a login. Search or list AI models, datasets, and spaces, sorted by downloads, likes, trending, or recency, and optionally filtered by task, library, or author. Returns clean rows with downloads, likes, task, library, tags, file count, and dates.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Goutam Soni

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Monthly active users

6 hours ago

Last modified

Hugging Face Scraper

Search and list AI models, datasets and spaces from the Hugging Face Hub at scale, no login or API key. Sort by downloads, likes, trending, or recency, and filter by task, library, or author. Every row comes back in one clean, structured shape with downloads, likes, task, library, tags, file count and dates.

What it does

Search - models, datasets or spaces matching your terms.
Top listings - leave the search empty to pull the top items by your chosen sort (for example the most-downloaded text-generation models).
Filters - narrow by task (e.g. text-generation), library (e.g. transformers), or author / organization (e.g. google).
Direct lookup - fetch specific Hub IDs.

Common uses: AI/ML market and trend research, model discovery and monitoring, dataset sourcing, competitor tracking, and building an AI catalog.

Input

Field	Type	Description
`resource`	string	`models`, `datasets`, or `spaces`.
`searchQueries`	array	Terms to search. Empty = top listing by sort.
`directIds`	array	Specific Hub IDs, e.g. `openai-community/gpt2`.
`sort`	string	`downloads`, `likes`, `trending`, `lastModified`, `createdAt`.
`filter`	string	Optional task or library filter.
`author`	string	Optional author / organization.
`maxItemsPerSource`	integer	Cap per query. Default 50, up to 1000.
`proxyConfiguration`	object	Optional. Works without a proxy.

Example input

{
  "resource": "models",
  "searchQueries": ["llama", "whisper"],
  "sort": "downloads",
  "filter": "text-generation",
  "maxItemsPerSource": 100
}

Output

Each item is one normalized model, dataset, or space.

{
  "resource": "models",
  "id": "openai-community/gpt2",
  "author": "openai-community",
  "name": "gpt2",
  "downloads": 14024247,
  "downloadsAllTime": null,
  "likes": 3355,
  "trendingScore": null,
  "task": "text-generation",
  "library": "transformers",
  "tags": ["transformers", "pytorch", "text-generation"],
  "gated": false,
  "private": false,
  "disabled": false,
  "fileCount": 26,
  "createdAt": "2022-03-02T23:29:04.000Z",
  "lastModified": "2024-02-19T10:57:45.000Z",
  "sha": "607a30d783dfa663caf39e06633721c8d4cfcd7e",
  "url": "https://huggingface.co/openai-community/gpt2",
  "scrapedAt": "2026-07-18T13:00:00.000Z"
}

Fields that do not apply (for example task on a dataset) come back as null, so the shape is always the same.

Notes

No login and no API key. Pick a resource, set your terms or a sort, and run.
Leave searchQueries empty and set sort to trending to track what is hot on the Hub right now.
maxItemsPerSource goes up to 1000 per query for large catalogs.

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