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⇱ Hugging Face Models Scraper β€” Search, Downloads, Likes, Tags Β· Apify


πŸ‘ Hugging Face Models Scraper β€” Search, Downloads, Likes, Tags avatar

Hugging Face Models Scraper β€” Search, Downloads, Likes, Tags

Pricing

from $3.00 / 1,000 models

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Hugging Face Models Scraper β€” Search, Downloads, Likes, Tags

Search Hugging Face for models by task, tag, or keyword and export downloads, likes, library, license, and tags to a clean dataset.

Pricing

from $3.00 / 1,000 models

Rating

0.0

(0)

Developer

πŸ‘ Andrew

Andrew

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 days ago

Last modified

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Search the Hugging Face Hub for machine learning models by task, library, or keyword and export downloads, likes, license, and tags to a clean dataset. No login required.

What you get

  • Model ID, author, model name, and direct Hugging Face URL for every result
  • Pipeline task tag (text-generation, text-to-image, summarization, etc.) and library name (transformers, diffusers, sentence-transformers, peft, timm…)
  • All Hub tags β€” useful for filtering by license, language, base model, dataset, or framework
  • 30-day download count, likes count, and trending score
  • Gated / private flags so you can spot restricted models
  • Created and last-modified timestamps for freshness tracking
  • Direct export to JSON, CSV, Excel, or Google Sheets

Use cases

  • ML / model market research β€” measure popularity and adoption of open-source models
  • Competitor tracking β€” monitor downloads and likes for models in your space (LLMs, image generation, embeddings, etc.)
  • Build a model catalog β€” power an internal tool, blog post, or product comparison with up-to-date Hub metadata
  • Lead generation β€” discover authors and organizations publishing in a specific task or library
  • License audit β€” surface every tag (license:apache-2.0, license:mit, license:llama3, …) across a curated list

How to use

  1. Enter a Search query (e.g. llama, stable-diffusion, whisper) β€” or leave empty to browse the whole Hub
  2. Optionally pick a Pipeline task to narrow to a single task type
  3. Optionally enter a Library filter (transformers, diffusers, sentence-transformers, peft, timm, …)
  4. Pick a Sort by field (Downloads, Likes, Recently updated, Recently created, Trending) and a Sort direction
  5. Set Max items β€” the actor auto-paginates the Hugging Face Hub API to collect them
  6. Run the actor β€” one model per row in the Dataset tab

Output format

One model per dataset row β€” perfect for direct CSV, Excel, or Google Sheets export:

{
"id":"meta-llama/Llama-3.1-8B",
"author":"meta-llama",
"modelName":"Llama-3.1-8B",
"huggingfaceUrl":"https://huggingface.co/meta-llama/Llama-3.1-8B",
"pipelineTag":"text-generation",
"libraryName":"transformers",
"tags":["transformers","safetensors","llama","text-generation","en","license:llama3.1"],
"downloads":2845123,
"likes":5421,
"gated":"manual",
"private":false,
"createdAt":"2024-07-22T18:30:00.000Z",
"lastModified":"2025-09-14T10:12:33.000Z",
"trendingScore":87.4,
"scrapedAt":"2026-05-23T12:34:56.000Z"
}

Input options

FieldTypeDescription
Search querystringFree-text search across model IDs and descriptions β€” optional
Pipeline taskenumRestrict to a Hugging Face pipeline tag (text-generation, text-to-image, …) β€” optional
Library filterstringRestrict to a single library (transformers, diffusers, sentence-transformers, …) β€” optional
Sort byenumDownloads, Likes, Recently updated, Recently created, Trending β€” default Downloads
Sort directionenumDescending (most first) or Ascending (least first) β€” default Descending
Max itemsintegerTotal models to collect across paginated calls β€” default 100, max 5000

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