You can access the HuggingFace Intelligence 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "models",
10    "search": "",
11    "limit": 100,
12    "sortBy": "downloads",
13    "direction": -1,
14    "full": True,
15    "timeoutSeconds": 20,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("primesieve/hf-intel-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
23for item in client.dataset(run.default_dataset_id).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

HuggingFace Intelligence Scraper API in Python

The Apify API client for Python is the official library that allows you to use HuggingFace Intelligence Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

HuggingFace Intelligence Scraper API in JavaScript

HuggingFace Intelligence Scraper API through CLI

HuggingFace Intelligence Scraper OpenAPI definition

HuggingFace Intelligence Scraper API

Huggingface Models Scraper

klondikeking/huggingface-models-scraper

Pierrick McD0nald

HuggingFace Trending Models, Datasets & Spaces Scraper

outofboundslab/hf-trending-scraper

Scrape trending models, datasets, and spaces from HuggingFace Hub. Get download counts, likes, tags, pipeline types, licenses, and more. Sort by downloads, likes, or trending. Filter by task type.

Julian Bracaglia

HuggingFace Hub Scraper - Models, Datasets, Spaces

wetyr_corporation/huggingface-hub-scraper

Bulk extract AI models, datasets, and Spaces from HuggingFace. Filter by task, library, license, author. Pulls downloads, likes, tags, model cards.

WETYR

GitHub and HuggingFace AI Research Monitor

ghostgrid/github-huggingface-research-monitor

Track trending AI repositories, models, datasets, and papers from GitHub and HuggingFace.

GhostGrid

HuggingFace Scraper — Models, Datasets & Spaces

devilscrapes/huggingface-hub-scraper

Export models, datasets, and Spaces from the HuggingFace Hub API — filter by task, library, or author, with a trending snapshot mode — to JSON or CSV. Richer schema than incumbents: downloads, likes, tags, license, last-modified. No login.

DevilScrapes

HuggingFace Model Tracker

optimus-fulcria/huggingface-model-tracker

Track trending, popular, and new AI models on HuggingFace. Monitor downloads, likes, trending scores. Filter by task type, library, or author. No API key required.

Fulcria Labs

Huggingface Scraper

fortuitous_pirate/huggingface-scraper

Huggingface Scraper. Structured data export for lead generation, enrichment, and competitive research.

Fortuitous Pirate

Huggingface Intelligence Scraper

mattdef/huggingface-intelligence-scraper

Scrape Hugging Face models, datasets, and spaces via public API. Get downloads, likes, trending models, pipeline tags, and more. Perfect for AI market research.

Matthieu Cast

HuggingFace Models Scraper

tzmyk/huggingface-models-scraper

Scrapes AI/ML models from HuggingFace (huggingface.co/models) via the official API. Extracts model ID, downloads, likes, task type, library, tags, and more. Supports search, author/org filter, pipeline tag filter, and sort order.