Hugging Face Hub Explorer: Models, Datasets & Spaces

List and search Hugging Face models, datasets or Spaces with downloads, likes, trending score, pipeline task, library, license and languages. Filter by author, tag, or keyword; sort by downloads or trending.

Why this actor

• All three repo types, license and language parsed out of tags, trending sort.
• Pay only for results: $0.50 per 1,000 items, no start fee, failed lookups are free.
• Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
• Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

• Track which open models are trending in a task
• License screening (commercial-use filters)
• AI market research and newsletters
• Find datasets for a language or domain

Input

Field	Type	Description
kind	string	Models, datasets or Spaces.
search	string	Keyword in the repo id, e.g. 'llama' or 'sentiment'.
author	string	Only from this org, e.g. 'meta-llama'.
filterTag	string	e.g. text-classification, gguf, license:mit, language:es.
sort	string	Ranking.
maxResults	integer	Up to 1,000.
maxItems	integer	0 = no limit. Caps cost.

Example input:

{
  "kind": "models",
  "search": "sentiment",
  "sort": "downloads",
  "maxResults": 20
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
  "kind": "model",
  "id": "cardiffnlp/twitter-roberta-base-sentiment-latest",
  "url": "https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest",
  "author": "cardiffnlp",
  "downloads30d": 2589719,
  "likes": 847,
  "trendingScore": null,
  "pipelineTag": "text-classification",
  "libraryName": "transformers",
  "license": "cc-by-4.0",
  "languages": null,
  "sdk": null,
  "gated": false,
  "private": false,
  "createdAt": "2022-03-15T01:21:58.000Z",
  "lastModified": "2025-08-04T07:58:29.000Z",
  "tags": [
    "transformers",
    "pytorch",
    "tf",
    "\u2026"
  ],
  "scrapedAt": "2026-10-14T16:21:17+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.0005 per item (= $0.50 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.