Hugging Face Scraper
Pricing
from $5.00 / 1,000 results
Hugging Face Scraper
Scrape Hugging Face models, datasets, Spaces & papers: downloads, likes, parameters, license, tasks, inference providers and model cards. Search or paste any URL.
Hugging Face Scraper
Pricing
from $5.00 / 1,000 results
Scrape Hugging Face models, datasets, Spaces & papers: downloads, likes, parameters, license, tasks, inference providers and model cards. Search or paste any URL.
Which part of the Hugging Face Hub to search. Ignored when you provide URLs below.
Full-text search, e.g. llama, whisper or sentiment. Each term is scraped separately. Leave empty to browse everything that matches the filters. For papers, searches titles and abstracts; leave empty for the Daily Papers feed.
Order of results. Spaces cannot be sorted by downloads. Papers support Trending; any other value lists the newest papers.
Maximum number of results saved for each search term or URL. Set to 0 for no limit (a full crawl of all models is over 2 million results).
Optional. Paste any huggingface.co URL and its data is scraped instead of the search above. Supported: listing pages with filters (e.g. https://huggingface.co/models?pipeline_tag=text-generation&sort=trending), model / dataset / Space pages, user or organization profiles, collections, and papers pages (daily, trending, a date, or a single paper).
Models: pipeline task. Datasets: task category. Not available for Spaces.
Models: e.g. transformers, gguf, diffusers, mlx, onnx. Datasets: e.g. datasets, pandas, polars.
Only Spaces built with this SDK.
Daily Papers for a day (2026-09-22), ISO week (2026-W38) or month (2026-09). Leave empty for the latest papers.
Skip results with fewer downloads. Fastest when sorting by Most downloads.
Skip results with fewer likes (upvotes for papers). Fastest when sorting by Most likes.
Only results created (papers: published) after this date. Also accepts a relative period such as 7 days, which is useful for scheduled monitoring runs. Fastest when sorting by Recently created.
Adds the full README (model card, dataset card or Space description) as Markdown. Great for LLM/RAG pipelines. Makes runs slower (one extra request per result).
Adds the list of files in each repository (weights, configs, notebooks...). For datasets this needs one extra request per result.
Adds the raw YAML metadata of the model/dataset card (base model, datasets, metrics, widget examples...). Can be large.
Optional. A free read token gives you a higher rate limit and access to your own private or gated repos. Stored encrypted.