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from $1.70 / 1,000 result items

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HuggingFace Datasets Scraper

Try for free

Discover and collect dataset listings from the HuggingFace Hub API. Pulls dataset name, description, downloads, tags including task categories and languages, author, likes, trending score, and creation date. Ideal for curating training data catalogs or monitoring new and trending datasets.

Pricing

from $1.70 / 1,000 result items

Rating

0.0

(0)

Developer

ParseForge

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

You can access the HuggingFace Datasets 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    "maxItems": 10,
10    "search": "text",
11    "sort": "downloads",
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("parseforge/huggingface-datasets-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
19for item in client.dataset(run.default_dataset_id).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

HuggingFace Datasets - Downloads, Tags & Trending Data API in Python

The Apify API client for Python is the official library that allows you to use HuggingFace Datasets 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 Datasets Scraper API in JavaScript

HuggingFace Datasets Scraper API through CLI

HuggingFace Datasets Scraper OpenAPI definition

HuggingFace Datasets Scraper API

Huggingface Hub Scraper

smorgi_apps/huggingface-hub-scraper

Smorgi Apps

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

Apple Swift Documentation Scraper

parseforge/apple-swift-documentation-scraper

Pull structured Swift documentation from Apple's official API. Retrieve symbol abstracts, hierarchy paths, interface language, symbol kind, and metadata like platforms and modules. Ideal for building offline reference tools or analyzing API coverage across Swift versions.

ParseForge

Hugging Face Models & Datasets Scraper (API)

ahmdshrif/huggingface-models-datasets-scraper

Exports Hugging Face model and dataset metadata—downloads, likes, tags, license, pipeline task, and update dates—via the official public API.

Ahmed

5.0

(1)

Kaggle Datasets Scraper

automation-lab/kaggle-dataset-catalog-export

Search public Kaggle datasets and export normalized licenses, sizes, usability, download signals, versions, file manifests, and canonical URLs.

Automation Lab

Taste of Home Recipe Collections Scraper

parseforge/taste-of-home-recipe-collections-scraper

Pull curated recipe collections from Taste of Home's homepage carousel. Extract collection title, URL, image URL, image alt text, eyebrow text, and eyebrow icon for each featured collection. Ideal for food bloggers and meal planners tracking trending recipe themes.

ParseForge

Wikimedia Commons Image Metadata Scraper

parseforge/wikimedia-commons-image-scraper

Extract detailed image metadata from Wikimedia Commons using its official API. Pulls fields like title, page ID, object name, description, categories, artist, credit, license, and date for any file. Ideal for researchers cataloging open media or building searchable image databases.

ParseForge

Apify Actor Details Scraper

parseforge/apify-actor-details-scraper

Pull detailed metadata from any Apify actor page. Extract title, description, author, categories, run counts, and social media tags. Ideal for market research, competitor analysis, or building an actor directory. Get structured data from actor URLs with pagination support.

ParseForge

Wikimedia Commons Page Creation Log Scraper

parseforge/wikimedia-commons-creation-log-scraper

Pull the latest page creation log entries from Wikimedia Commons using the official API. Retrieve log IDs, page titles, page IDs, usernames, timestamps, action types, and parsed comments. Monitor new file and article uploads for moderation, archival research, or contribution tracking.

ParseForge

Hugging Face models + datasets - search, metadata (Hub API)

retrainmap/huggingface-models

Hugging Face Hub scraper on the public API: search models or datasets by term, task, library, license, language or author; one row each - id, author, task, library, license, downloads, likes, last modified, tags, gated, URL. No token needed. $5 per 1,000 rows + $0.10 per run.