Hugging Face Models, Datasets & Spaces Scraper
Scrape Hugging Face Hub models, datasets and spaces with downloads, all-time downloads, likes, trending score, task, library, license, author, base model and dates. Track trending AI models and prolific authors. Export to JSON, CSV or Excel.
{ "id": "meta-llama/Llama-3.2-1B-Instruct", "url": "https://huggingface.co/meta-llama/Llama-3.2-1B…", "type": "model", "modelName": "Llama-3.2-1B-Instruct", "author": "meta-llama", "pipelineTag": "text-generation", "library": "transformers", "downloads": 10519376, "downloadsAllTime": 89411950 }
每次运行都返回干净、带类型的记录，可直接用于你的 CRM、表格或数据库。
- 每个结果对应一条干净记录，已去重并规范化
- JSON、CSV 或 Excel 的稳定结构，也可通过 Apify API 读取
- 在云端按用量付费，无需安装或维护
一条真实的示例记录，正是你收到的结构。
| Id | Url | Type | Model Name |
|---|---|---|---|
| meta-llama/Llama-3.2-1B-Instruct | https://huggingface.co/meta-llama… | model | Llama-3.2-1B-Instruct |
| meta-llama/Llama-3.1-8B-Instruct | https://huggingface.co/meta-llama… | model | Llama-3.1-8B-Instruct |
| hmellor/tiny-random-LlamaForCausa… | https://huggingface.co/hmellor/ti… | model | tiny-random-LlamaForCausalLM |
| meta-llama/Prompt-Guard-86M | https://huggingface.co/meta-llama… | model | Prompt-Guard-86M |
| meta-llama/Llama-3.2-3B-Instruct | https://huggingface.co/meta-llama… | model | Llama-3.2-3B-Instruct |
{ "id": "meta-llama/Llama-3.2-1B-Instruct", "url": "https://huggingface.co/meta-llama/Llama-3.2-1B…", "type": "model", "modelName": "Llama-3.2-1B-Instruct", "author": "meta-llama", "pipelineTag": "text-generation", "library": "transformers", "downloads": 10519376, "downloadsAllTime": 89411950 }
常见问题
What is the difference between downloads and downloadsAllTime?
`downloads` counts downloads over the last 30 days, so it reflects current usage. `downloadsAllTime` is the cumulative total since the item was published.
Can I get only one task, like text-to-image?
Yes. For models, set the task / pipeline tag (for example `text-to-image` or `text-generation`) to keep only models for that task.
What does trending score mean?
It is a momentum signal that surfaces items gaining attention right now. Sort by trending to see what is rising fastest.
How fresh is the data?
Downloads, likes and trending score are read live at run time, so each record reflects the item at the moment of the run (see observedAt).