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: downloads, likes, tasks, licenses, tags and dates.
Pricing
$1.50 / 1,000 results
Rating
0.0
(0)
Developer
Hamza
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
12 days ago
Last modified
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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
- Open the Input tab. The form is already filled with a working example.
- Change the fields to your own search, or keep the example to see the output format.
- Click Start and download the results as JSON, CSV, Excel or HTML from the Output tab, or read them through the Apify API.
Input
| Field | What it does |
|---|---|
| Search for | Models or datasets. |
| Search query | Keyword (optional). |
| Tag filter | Optional tag such as text-classification, pytorch or en. |
| Sort by | Order of results. |
| Maximum results | Stop after this many results. |
Example input:
{"kind": "models","query": "sentiment","sort": "downloads","maxItems": 100}
Output
Each result is one row. Main fields:
| Field | Description |
|---|---|
| id | ID |
| url | Hugging Face page |
| kind | Models or datasets |
| author | Author |
| downloads | Downloads (last 30 days) |
| likes | Likes |
| trendingScore | Trending score |
| task | Task |
| library | Library |
| license | License |
| languages | Languages |
| tags | Tags |
| createdAt | Created |
| lastModified | Last modified |
| isGated | Gated |
| isPrivate | Private |
| description | Description |
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.