# Huggingface Models Scraper (`klondikeking/huggingface-models-scraper`) Actor

- **URL**: https://apify.com/klondikeking/huggingface-models-scraper.md
- **Developed by:** [Pierrick McD0nald](https://apify.com/klondikeking) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 model scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## HuggingFace Models Scraper

Extract comprehensive AI model metadata from HuggingFace's public API. Get access to the world's largest open-source AI model repository with over 1 million models.

### What This Actor Does

This Actor scrapes HuggingFace's public API to extract detailed metadata about AI models including:

- Model IDs and authors
- Download counts and popularity metrics
- Trending scores
- Pipeline types (text-generation, image-classification, etc.)
- Tags, licenses, and supported languages
- Direct URLs to model pages

Perfect for AI researchers, ML engineers, data scientists, and developers who need to:

- Find trending models in specific domains
- Compare model popularity and adoption
- Build model recommendation systems
- Track open-source AI development trends
- Create datasets of available AI capabilities

### Use Cases

#### 1. AI Research & Market Intelligence

Track the most downloaded and trending models in specific domains. Monitor which architectures are gaining traction in the open-source community.

#### 2. Model Discovery & Comparison

Find all available models for specific tasks like text-to-image generation, speech recognition, or code completion. Compare popularity metrics to choose the best model for your project.

#### 3. Competitive Analysis

Track competitor models, their adoption rates, and community engagement. Monitor which organizations are publishing the most popular models.

#### 4. Dataset Building

Create comprehensive datasets of available AI models for research papers, market reports, or recommendation engines.

#### 5. Trend Monitoring

Identify emerging trends in AI by tracking trending scores and download velocity of different model types.

### Input Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| searchQuery | string | No | "" | Search term to filter models (e.g., "llama", "bert") |
| pipelineTag | string | No | "" | Filter by AI task type (text-generation, text-to-image, etc.) |
| sortBy | string | Yes | "trending" | Sort results by: trending, downloads, likes, created |
| maxResults | integer | Yes | 50 | Maximum models to extract (1-1000) |
| proxyConfiguration | object | No | Auto | Proxy settings for requests |

#### Pipeline Types Available

- text-generation
- text-to-image
- image-classification
- automatic-speech-recognition
- fill-mask
- token-classification
- question-answering
- summarization
- translation
- text-classification
- feature-extraction

### Output Example

```json
{
  "modelId": "meta-llama/Llama-2-7b",
  "author": "meta-llama",
  "modelName": "Llama-2-7b",
  "likes": 15234,
  "downloads": 4857291,
  "trendingScore": 892,
  "pipelineTag": "text-generation",
  "tags": ["transformers", "llama", "text-generation", "en", "license:llama2"],
  "license": "llama2",
  "languages": ["en"],
  "url": "https://huggingface.co/meta-llama/Llama-2-7b",
  "createdAt": "2023-07-18T00:00:00.000Z"
}
```

### Pricing

This Actor uses **Pay-Per-Event** pricing:

| Event | Price |
|-------|-------|
| Model scraped | $0.002 |

#### Cost Examples

| Models Extracted | Cost |
|------------------|------|
| 100 | $0.20 |
| 500 | $1.00 |
| 1,000 | $2.00 |

### How to Use

1. **Basic Search**: Enter a search term like "stable-diffusion" to find related models
2. **Filter by Task**: Select a pipeline type like "text-to-image" for specific AI tasks
3. **Sort Results**: Use "trending" for hot models, "downloads" for popular ones
4. **Limit Results**: Set maxResults based on your needs and budget

### FAQ

**Q: Do I need a HuggingFace account?**
A: No. This Actor uses HuggingFace's public API which requires no authentication.

**Q: What data is available for each model?**
A: Model ID, author, likes, downloads, trending score, pipeline type, tags, license, languages, and URL.

**Q: Can I extract all 1M+ models?**
A: The API has rate limits. This Actor handles pagination and rate limiting automatically. For very large extractions, run multiple times with different search queries.

**Q: Is the data real-time?**
A: Yes, data comes directly from HuggingFace's live API.

### Limitations

- Maximum 100 models per API call (handled automatically via pagination)
- Rate limiting enforced (100ms delay between requests)
- Private/gated models are excluded
- Very old models may have incomplete metadata

### Support

Open an issue on this Actor's Apify page for questions or feature requests.

***

*Extract AI model intelligence from the world's largest open-source ML repository.*

# Actor input Schema

## `searchQuery` (type: `string`):

Search term to filter models (e.g., 'llama', 'bert', 'stable-diffusion')

## `pipelineTag` (type: `string`):

Filter by AI task type

## `sortBy` (type: `string`):

How to sort the results

## `maxResults` (type: `integer`):

Maximum number of models to extract (100 per API call)

## `proxyConfiguration` (type: `object`):

Proxy settings for requests

## Actor input object example

```json
{
  "searchQuery": "llama",
  "pipelineTag": "",
  "sortBy": "trending",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing all extracted HuggingFace model metadata

## `stats` (type: `string`):

Summary statistics of the extraction run

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "llama",
    "pipelineTag": "",
    "sortBy": "trending",
    "maxResults": 5,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("klondikeking/huggingface-models-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "llama",
    "pipelineTag": "",
    "sortBy": "trending",
    "maxResults": 5,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("klondikeking/huggingface-models-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "llama",
  "pipelineTag": "",
  "sortBy": "trending",
  "maxResults": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call klondikeking/huggingface-models-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,klondikeking/huggingface-models-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Z9INoScZJwScZQPEJ/builds/sg6qdyffs4xyoIJL1/openapi.json