Hugging Face Model Scraper

What does it do?

Hugging Face Model Scraper extracts model information from the Hugging Face Model Hub using their public API. It collects model names, authors, download counts, likes, pipeline tasks, and tags for any task category you specify. Sort results by downloads, likes, or trending to find the most popular models for text generation, image classification, and more.

The actor runs on the Apify platform and delivers clean, structured data ready for export as JSON, CSV, or Excel. It handles retries and proxy rotation automatically. Each run stores results in an Apify Dataset that you can download or connect to your workflow via API.

Why use this actor?

• API-based extraction: Uses Hugging Face's public API for reliable, structured data
• Multi-task search: Search across text-generation, text-classification, image-classification, and dozens more tasks
• Flexible sorting: Sort by downloads, likes, or trending to find the most relevant models
• Rich metadata: Get download counts, likes, tags, and pipeline information for each model
• Scalable: Run on schedule with Apify Schedules for regular model hub monitoring
• Export ready: Download as JSON, CSV, Excel or send to Google Sheets, Slack, webhooks

How to use it

1. Navigate to the Hugging Face Model Scraper on Apify Store
2. Configure tasks, sort order, and maximum models to extract
3. Click Start and wait for results
4. Export the dataset in your preferred format

You can also run this actor via the Apify API or the Apify JavaScript client.

Input configuration

Field	Type	Description	Default
Tasks	array	Hugging Face pipeline tasks	["text-generation", "text-classification", "image-classification"]
Sort By	string	How to sort results	"downloads"
Max Models	integer	Maximum models to extract	500
Proxy Configuration	object	Proxy settings	Apify Proxy

Output data

Each result contains these fields:

Field	Type	Description
task	String	Pipeline task category
name	String	Full model name (author/model)
author	String	Model author or organization
downloads	Number	Total download count
likes	Number	Number of likes
pipeline	String	Pipeline tag
tags	String	Model tags (comma-separated)
url	String	Link to model page on Hugging Face
scrapedAt	String	Timestamp of extraction

Cost of usage

This actor uses pay-per-event pricing. You are charged $0.30 per 1,000 results extracted. Running with default settings typically costs under $0.05. Adjust input parameters to control the number of models and manage costs.

The actor uses Apify Proxy which is included in your Apify subscription. Memory usage is typically around 256-1024 MB.

Tips and tricks

• Run on a schedule using Apify Schedules to track model popularity trends
• Use Apify integrations to send results to Google Sheets, Slack, Zapier, or your database
• Combine with other actors from the Apify Store for richer data pipelines
• Use "trending" sort to discover newly popular models in any task category
• Common tasks include: text-generation, text-classification, image-classification, object-detection, question-answering, summarization, translation, fill-mask, token-classification

Useful Links

• Apify Platform
• Crawlee Documentation
• Apify SDK
• Hugging Face Model Hub
• More actors by consummate_mandala
• GitHub - donnywin85

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Built with Crawlee and the Apify SDK.