Hugging Face Models, Datasets & Spaces Scraper + Trend Tracker avatar

Hugging Face Models, Datasets & Spaces Scraper + Trend Tracker

Pricing

$1.00 / 1,000 repo records

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Hugging Face Models, Datasets & Spaces Scraper + Trend Tracker

Hugging Face Models, Datasets & Spaces Scraper + Trend Tracker

Search or list Hugging Face Hub models, datasets and Spaces via the official public Hub API. No login. Export JSON/CSV/Excel. Pay only per result.

Pricing

$1.00 / 1,000 repo records

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Developer

Jeremy Yarbrough

Jeremy Yarbrough

Maintained by Community

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1

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13 days ago

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Search or list Hugging Face Hub models, datasets and Spaces via the official public Hub API, with no login, no browser and no code. Export to JSON, CSV or Excel, or use the API.

Search or list Hugging Face Hub models, datasets and Spaces via the official public Hub API: downloads, likes, trending score, pipeline task, library, license, tags, author, created/updated dates and parameter count when published. Track specific repos or authors; monitor mode reports download/like deltas and new repos since the last run.

Use cases

  • Track which open models are trending for AI newsletters
  • Competitive intel on an org's releases
  • Find datasets by task/license for research

Input

FieldTypeNotes
repoTypestring
searchstringOptional text search.
authorstringOptional, e.g. meta-llama.
taskstringOptional pipeline tag, e.g. text-generation.
repoIdsarrayOptional, e.g. openai/whisper-large-v3.
sortstring
maxItemsinteger
monitorModebooleanTrack deltas and new repos between runs.
stateStoreNamestring

Example input

{
"repoType": "models",
"search": "llama",
"sort": "downloads",
"maxItems": 15,
"repoIds": [
"openai/whisper-large-v3"
],
"monitorMode": true
}

Output

One dataset item per result. Main columns: id, type, author, task, library, license, downloads, likes, trendingScore, downloadsDelta, likesDelta, isNew, lastModified, url. A RUN_SUMMARY record is saved to the default key-value store. See the sample output in the Output tab.

Example output

{
"id": "openai/whisper-large-v3",
"type": "model",
"author": "openai",
"task": "automatic-speech-recognition",
"library": "transformers",
"sdk": null,
"license": "apache-2.0",
"downloads": 3736920,
"downloadsAllTime": 149711494,
"likes": 6594,
"trendingScore": 29,
"parameters": 1543490560,
"gated": false,
"private": false,
"languages": [],
"tags": [
"transformers",
"pytorch",
"jax"
],
"baseModel": null,
"arxiv": [
"2212.04356"
]
}

Pricing

Pay per result, with no monthly rental or subscription:

  • Repo record: $0.001

Example: 1,000 results cost about $1.00 in fees. Apify's free plan includes $5 of monthly credit, which is enough to test this Actor.

FAQ

Do I need an account, cookies or a login for the source site? No. Hugging Face Models, Datasets & Spaces Scraper + Trend Tracker uses public data sources only, so there is nothing to connect and no account to risk.

How much will a run cost? You pay only for results delivered (see Pricing above), plus Apify platform usage, which the free plan's monthly credit easily covers for test runs. Start with a small limit to see the exact cost per run.

Can I export to CSV, Excel or Google Sheets? Yes. Every run's dataset can be downloaded as JSON, CSV, Excel, XML or HTML, or pushed to Google Sheets, Make, Zapier, n8n, Slack or a webhook through Apify integrations.

Can I run it on a schedule or from my own code? Yes. Add an Apify Schedule (hourly, daily, weekly) or call it through the Apify API / Python & JavaScript clients. It also works with AI agents through the Apify MCP server.

What happens if an input is invalid or a source is down? The run keeps going. The bad input gets a row with an error field so you can see what failed, and you are not charged for results that were not delivered.

Is this legal to use? It collects publicly available data. You are responsible for using the output in line with the source's terms and privacy laws such as GDPR/CCPA; don't use it for spam.

Something missing or broken? Open an issue on the Issues tab. Feature requests are usually added within a few days.

Scheduling / monitoring

Create a Schedule (daily/weekly) and connect a webhook or Slack/email integration.

Fair use

Official public APIs only, no login. Do not use output for spam or harassment. Respect the data sources' rate limits and terms.