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Hugging Face Models and Datasets Scraper

Pricing

$1.50 / 1,000 results

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Hugging Face Models and Datasets Scraper

Hugging Face Models and Datasets Scraper

Hugging Face models and datasets: downloads, likes, tasks, licenses, tags and dates.

Pricing

$1.50 / 1,000 results

Rating

0.0

(0)

Developer

Hamza

Hamza

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 days ago

Last modified

Categories

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Search Hugging Face for machine learning models or datasets. Get downloads, likes, task, library, license, tags, languages and dates for every result.

What you get

  • Search models or datasets
  • Filter by task, library or language tag
  • Sort by downloads, likes, trending or newest
  • Downloads, likes and trending score
  • License, languages and full tag list
  • Deep pagination with no page limit

How to use

  1. Open the Input tab. The form is already filled with a working example.
  2. Change the fields to your own search, or keep the example to see the output format.
  3. Click Start and download the results as JSON, CSV, Excel or HTML from the Output tab, or read them through the Apify API.

Input

FieldWhat it does
Search forModels or datasets.
Search queryKeyword (optional).
Tag filterOptional tag such as text-classification, pytorch or en.
Sort byOrder of results.
Maximum resultsStop after this many results.

Example input:

{
"kind": "models",
"query": "sentiment",
"sort": "downloads",
"maxItems": 100
}

Output

Each result is one row. Main fields:

FieldDescription
idID
urlHugging Face page
kindModels or datasets
authorAuthor
downloadsDownloads (last 30 days)
likesLikes
trendingScoreTrending score
taskTask
libraryLibrary
licenseLicense
languagesLanguages
tagsTags
createdAtCreated
lastModifiedLast modified
isGatedGated
isPrivatePrivate
descriptionDescription

Example output (shortened):

{
"id": "cardiffnlp/twitter-roberta-base-sentiment-latest",
"url": "https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest",
"kind": "models",
"author": "cardiffnlp",
"downloads": 2625543,
"likes": 834,
"task": "text-classification",
"library": "transformers",
"license": "cc-by-4.0",
"languages": [
"tf",
"en"
],
"tags": [
"transformers",
"pytorch",
"tf"
],
"createdAt": "2022-03-15T01:21:58.000Z",
"lastModified": "2025-08-04T07:58:29.000Z",
"isGated": false,
"isPrivate": false
}

Good to know

  • The Actor never fails on a bad or empty input. It finishes with a clear message in the run status explaining what to change.
  • Results are saved while the run is going, so you can open the dataset before it finishes.

Support

Found a field that is missing or a result that looks wrong? Open an issue from the Actor page and include the run link.