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.
You can access the Hugging Face Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Ignored when you provide URLs below.", "default": "models" }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Full-text search, e.g. <code>llama</code>, <code>whisper</code> or <code>sentiment</code>. 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.", "items": { "type": "string" } }, "sort": { "title": "Sort by", "enum": [ "trending", "downloads", "likes", "created", "modified" ], "type": "string", "description": "Order of results. Spaces cannot be sorted by downloads. Papers support Trending; any other value lists the newest papers.", "default": "trending" }, "maxItems": { "title": "Max results per search or URL", "minimum": 0, "type": "integer", "description": "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).", "default": 100 }, "startUrls": { "title": "Hugging Face URLs", "type": "array", "description": "Optional. Paste any huggingface.co URL and its data is scraped instead of the search above. Supported: listing pages with filters (e.g. <code>https://huggingface.co/models?pipeline_tag=text-generation&sort=trending</code>), model / dataset / Space pages, user or organization profiles, collections, and papers pages (daily, trending, a date, or a single paper).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "author": { "title": "Author or organization", "type": "string", "description": "Only results published by this user or organization, e.g. <code>meta-llama</code>, <code>google</code>, <code>Qwen</code>." }, "task": { "title": "Task", "enum": [ "any-to-any", "audio-classification", "audio-text-to-text", "audio-to-audio", "automatic-speech-recognition", "depth-estimation", "document-question-answering", "feature-extraction", "fill-mask", "image-classification", "image-feature-extraction", "image-segmentation", "image-text-to-image", "image-text-to-text", "image-text-to-video", "image-to-3d", "image-to-image", "image-to-text", "image-to-video", "keypoint-detection", "mask-generation", "object-detection", "question-answering", "reinforcement-learning", "sentence-similarity", "summarization", "table-question-answering", "tabular-classification", "tabular-regression", "text-classification", "text-generation", "text-ranking", "text-to-3d", "text-to-image", "text-to-speech", "text-to-video", "token-classification", "translation", "unconditional-image-generation", "video-classification", "video-text-to-text", "video-to-video", "visual-document-retrieval", "visual-question-answering", "zero-shot-classification", "zero-shot-image-classification", "zero-shot-object-detection" ], "type": "string", "description": "Models: pipeline task. Datasets: task category. Not available for Spaces." }, "library": { "title": "Library", "type": "string", "description": "Models: e.g. <code>transformers</code>, <code>gguf</code>, <code>diffusers</code>, <code>mlx</code>, <code>onnx</code>. Datasets: e.g. <code>datasets</code>, <code>pandas</code>, <code>polars</code>." }, "language": { "title": "Language", "type": "string", "description": "ISO language code, e.g. <code>en</code>, <code>vi</code>, <code>fr</code>, <code>zh</code>." }, "license": { "title": "License", "type": "string", "description": "License id, e.g. <code>apache-2.0</code>, <code>mit</code>, <code>cc-by-4.0</code>, <code>llama3.1</code>." }, "tags": { "title": "Tags", "type": "array", "description": "Any Hugging Face tags that results must have, e.g. <code>conversational</code>, <code>base_model:finetune:Qwen/Qwen3-8B</code>, <code>size_categories:1K<n<10K</code>, <code>mcp-server</code>.", "items": { "type": "string" } }, "minParameters": { "title": "Min parameters (models)", "pattern": "^(\\d+(\\.\\d+)?\\s*[KMBTkmbt]?)?$", "type": "string", "description": "Minimum model size, e.g. <code>500M</code>, <code>7B</code>." }, "maxParameters": { "title": "Max parameters (models)", "pattern": "^(\\d+(\\.\\d+)?\\s*[KMBTkmbt]?)?$", "type": "string", "description": "Maximum model size, e.g. <code>3B</code>, <code>70B</code>." }, "spaceSdk": { "title": "Space SDK", "enum": [ "gradio", "streamlit", "docker", "static" ], "type": "string", "description": "Only Spaces built with this SDK." }, "papersDate": { "title": "Papers date", "pattern": "^(\\d{4}-\\d{2}-\\d{2}|\\d{4}-W\\d{2}|\\d{4}-\\d{2})?$", "type": "string", "description": "Daily Papers for a day (<code>2026-09-22</code>), ISO week (<code>2026-W38</code>) or month (<code>2026-09</code>). Leave empty for the latest papers." }, "minDownloads": { "title": "Min downloads (last 30 days)", "minimum": 0, "type": "integer", "description": "Skip results with fewer downloads. Fastest when sorting by Most downloads." }, "minLikes": { "title": "Min likes / upvotes", "minimum": 0, "type": "integer", "description": "Skip results with fewer likes (upvotes for papers). Fastest when sorting by Most likes." }, "createdAfter": { "title": "Created after", "type": "string", "description": "Only results created (papers: published) after this date. Also accepts a relative period such as <code>7 days</code>, which is useful for scheduled monitoring runs. Fastest when sorting by Recently created." }, "includeReadme": { "title": "Include README / model card text", "type": "boolean", "description": "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).", "default": false }, "includeFiles": { "title": "Include file list", "type": "boolean", "description": "Adds the list of files in each repository (weights, configs, notebooks...). For datasets this needs one extra request per result.", "default": false }, "includeCardData": { "title": "Include raw card metadata", "type": "boolean", "description": "Adds the raw YAML metadata of the model/dataset card (base model, datasets, metrics, widget examples...). Can be large.", "default": false }, "hfToken": { "title": "Hugging Face access token", "type": "string", "description": "Optional. A free <a href='https://huggingface.co/settings/tokens' target='_blank'>read token</a> gives you a higher rate limit and access to your own private or gated repos. Stored encrypted." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Not needed in most cases: the Hugging Face API is public. 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