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from $2.00 / 1,000 hugging face model extracteds

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Hugging Face Hub Models Scraper — Downloads, Trending, GGUF

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Extract AI models from the Hugging Face Hub API. Captures monthly downloads, total likes, trending velocity scores, pipeline task tags, licenses, parameter architectures, GGUF/Safetensors compatibility, cloud deployment providers, and arXiv paper IDs.

Pricing

from $2.00 / 1,000 hugging face model extracteds

Rating

0.0

(0)

Developer

Spotless Studios

Actor stats

Bookmarked

Total users

Monthly active users

19 hours ago

Last modified

What Does This Scraper Extract?

Field	Type	Description
`modelId`	`string`	Canonical `<author>/<model>` ID (`"meta-llama/Llama-3.3-70B-Instruct"`)
`author`	`string`	Organization or researcher handle
`modelName`	`string`	Model repository slug
`pipelineTag`	`string \| null`	Primary ML task (`text-generation`, `image-text-to-text`, `text-to-image`)
`libraryName`	`string \| null`	ML framework (`transformers`, `diffusers`, `vllm`, `gguf`)
`downloads`	`number`	Monthly downloads on Hugging Face
`likes`	`number`	Community likes / stars
`trendingScore`	`number`	Current Hugging Face trending velocity score
`license`	`string \| null`	Open-source or custom license (`apache-2.0`, `mit`, `llama3.3`)
`isGated`	`boolean`	Whether access requires gated approval
`hasSafetensors`	`boolean`	Whether `.safetensors` weights are included
`hasGguf`	`boolean`	Whether quantized `.gguf` weights are included
`arxivIds`	`string[]`	Linked arXiv research paper IDs (`["2407.21783"]`)
`baseModels`	`string[]`	Upstream base models for fine-tunes / merges / quantizations
`deployTargets`	`string[]`	Supported cloud deployment targets (`["azure", "sagemaker"]`)
`fileCount`	`number`	Number of files in the model repository
`modelUrl`	`string`	Direct Hugging Face model card URL
`scrapedAt`	`string`	ISO-8601 extraction timestamp

Input Example

{
  "searchQuery": "qwen",
  "pipelineTag": "text-generation",
  "sortBy": "downloads",
  "minDownloads": 10000,
  "minLikes": 50,
  "excludeGated": true,
  "maxResults": 50
}

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