# Hugging Face Scraper — Trending Models, Datasets & Spaces (`samwise.agency/huggingface-tracker`) Actor

Track the AI ecosystem: trending Hugging Face models, datasets, and Spaces with downloads, likes, trending scores, pipeline tags, and timestamps. Official HF Hub API — keyless, clean JSON/CSV.

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

## Pricing

from $10.00 / 1,000 results

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/platform/actors/running/actors-in-store#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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use 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

## Hugging Face Scraper — Trending Models, Datasets & Spaces

Track the fastest-moving corner of AI. This Actor pulls **trending and top models, datasets, and Spaces** from the official Hugging Face Hub API — downloads, likes, trending scores, pipeline tags, and update timestamps in clean JSON/CSV.

**What you can extract:**

- 🔥 **Trending models** — what the AI community is adopting right now
- 📚 **Datasets & Spaces** — same metrics, same clean schema
- 🔍 **Search & filters** — by keyword, org (meta-llama, mistralai…), or tag
- 📈 **Sort options** — trending, downloads, likes, newest, recently updated

### Quick start

1. Click **Run** — default fetches the top 50 trending models
2. Add a search query ("llama", "OCR", "text-to-speech") or an org name
3. Schedule daily + diff runs = a new-model alert system for your niche

### Sample output

```json
{
    "assetType": "model",
    "id": "meta-llama/Llama-4-70B-Instruct",
    "url": "https://huggingface.co/meta-llama/Llama-4-70B-Instruct",
    "author": "meta-llama",
    "pipelineTag": "text-generation",
    "libraryName": "transformers",
    "downloads": 2841022,
    "likes": 15320,
    "trendingScore": 312,
    "gated": true,
    "tags": ["text-generation", "llama", "conversational"],
    "createdAt": "2026-04-05T16:00:12.000Z",
    "lastModified": "2026-06-28T09:31:44.000Z"
}
````

### Use cases

- **AI newsletters & content** — weekly "what's trending" data, automated
- **ML engineering** — monitor new models in your task category (e.g. ASR, OCR)
- **VC / market research** — org-level activity tracking across labs
- **Competitive intel** — watch competitors' orgs for new releases
- **RAG/agents** — MCP-ready: let your agent query the AI ecosystem live

### Input reference

| Field | Type | Notes |
|---|---|---|
| `assetTypes` | array | `models`, `datasets`, `spaces` |
| `searchQueries` | array | Keyword searches |
| `authors` | array | Org/user names |
| `filterTags` | array | HF tags like `text-generation` |
| `sort` | select | trending / downloads / likes / updated / newest |
| `maxItemsPerQuery` | integer | Cost cap |

### Pricing

Pay per result row delivered.

### FAQ

**Official data?** Yes — the public Hugging Face Hub API, no key needed.

**How fresh is "trending"?** It's HF's live trending score at run time — schedule daily to build a time series.

# Actor input Schema

## `assetTypes` (type: `array`):

Which Hugging Face Hub assets to fetch.

## `searchQueries` (type: `array`):

Keywords to search for (e.g. 'llama', 'text-to-speech', 'OCR'). Leave empty to fetch the overall top list.

## `authors` (type: `array`):

Fetch all assets from specific orgs (e.g. 'meta-llama', 'google', 'mistralai').

## `filterTags` (type: `array`):

HF filter tags, e.g. 'text-generation', 'transformers', 'en'.

## `sort` (type: `string`):

Ranking for results (always descending).

## `maxItemsPerQuery` (type: `integer`):

Cap per asset type / query.

## Actor input object example

```json
{
  "assetTypes": [
    "models"
  ],
  "searchQueries": [],
  "authors": [],
  "filterTags": [],
  "sort": "trendingScore",
  "maxItemsPerQuery": 50
}
```

# 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 = {
    "searchQueries": [],
    "authors": [],
    "filterTags": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("samwise.agency/huggingface-tracker").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 = {
    "searchQueries": [],
    "authors": [],
    "filterTags": [],
}

# Run the Actor and wait for it to finish
run = client.actor("samwise.agency/huggingface-tracker").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "searchQueries": [],
  "authors": [],
  "filterTags": []
}' |
apify call samwise.agency/huggingface-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=samwise.agency/huggingface-tracker",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Hugging Face Scraper — Trending Models, Datasets & Spaces",
        "description": "Track the AI ecosystem: trending Hugging Face models, datasets, and Spaces with downloads, likes, trending scores, pipeline tags, and timestamps. Official HF Hub API — keyless, clean JSON/CSV.",
        "version": "0.1",
        "x-build-id": "uWXD5f1HVqbEorXBL"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/samwise.agency~huggingface-tracker/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-samwise.agency-huggingface-tracker",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/samwise.agency~huggingface-tracker/runs": {
            "post": {
                "operationId": "runs-sync-samwise.agency-huggingface-tracker",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/samwise.agency~huggingface-tracker/run-sync": {
            "post": {
                "operationId": "run-sync-samwise.agency-huggingface-tracker",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "assetTypes": {
                        "title": "Asset types",
                        "type": "array",
                        "description": "Which Hugging Face Hub assets to fetch.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "models",
                                "datasets",
                                "spaces"
                            ],
                            "enumTitles": [
                                "Models",
                                "Datasets",
                                "Spaces"
                            ]
                        },
                        "default": [
                            "models"
                        ]
                    },
                    "searchQueries": {
                        "title": "Search queries",
                        "type": "array",
                        "description": "Keywords to search for (e.g. 'llama', 'text-to-speech', 'OCR'). Leave empty to fetch the overall top list.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "authors": {
                        "title": "Authors / organizations",
                        "type": "array",
                        "description": "Fetch all assets from specific orgs (e.g. 'meta-llama', 'google', 'mistralai').",
                        "items": {
                            "type": "string"
                        }
                    },
                    "filterTags": {
                        "title": "Filter tags",
                        "type": "array",
                        "description": "HF filter tags, e.g. 'text-generation', 'transformers', 'en'.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sort": {
                        "title": "Sort by",
                        "enum": [
                            "trendingScore",
                            "downloads",
                            "likes",
                            "lastModified",
                            "createdAt"
                        ],
                        "type": "string",
                        "description": "Ranking for results (always descending).",
                        "default": "trendingScore"
                    },
                    "maxItemsPerQuery": {
                        "title": "Max items per query",
                        "minimum": 1,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Cap per asset type / query.",
                        "default": 50
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```