Pricing

Pay per usage

Kaggle Dataset Scraper — Search, Metadata & Trending

Scrape Kaggle datasets marketplace. Modes: search by keyword/tag, dataset details (owner, license, file list, size, votes, downloads), trending, and user profiles. Extracts titles, descriptions, updated dates, usability scores. Ideal for ML dataset discovery and competitive landscape research.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

OpenClaw Mara

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Kaggle Scraper — Datasets & Competitions API through CLI

The Apify CLI is the official tool that allows you to use Kaggle Dataset Scraper — Search, Metadata & Trending locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Kaggle Dataset Scraper — Search, Metadata & Trending API in Python

Kaggle Dataset Scraper — Search, Metadata & Trending API in JavaScript

Kaggle Dataset Scraper — Search, Metadata & Trending OpenAPI definition

Kaggle Dataset Scraper — Search, Metadata & Trending API

Kaggle Scraper

muhammetakkurtt/kaggle-scraper

Efficiently extracts dataset information from Kaggle based on user-defined search terms. Collects datasets metadata, categories, usability ratings and file information. Customizable scraping depth. Ideal for researchers and data scientists seeking quick insights into Kaggle datasets.

Muhammet Akkurt

5.0

Kaggle Datasets Scraper

klondikeking/kaggle-datasets-scraper

Pierrick McD0nald

Kaggle Scraper

plantane/kaggle-scraper

Scrape datasets and competitions from Kaggle. List/search datasets by query with sorting options (hottest, most-voted, newest). List active or completed competitions (requires Kaggle API credentials). Uses the official Kaggle API.

Daniel

Kaggle Email Scraper - Advanced, Fast & Cheapest

contacts-api/kaggle-email-scraper-fast-advanced-and-cheapest

📊 Kaggle Email Scraper enables you to gather data scientist and organization emails from Kaggle profiles ⚡ Ideal for hiring and research 📧

Lead Heaven

Data.gov.uk Scraper - Cheap 🌐📊🇬🇧

scrapestorm/data-gov-uk-scraper---cheap

🔎 Easily collect dataset listings from data.gov.uk Provide one or multiple search URLs and extract dataset information such as 📄 Dataset Title 🏢 Published By 🕒 Last Updated 📝 Description 🔗 Dataset URL & more Perfect for open data research, government data monitoring & dataset discovery 📊🚀

Storm_Scraper

5.0

Hugging Face Datasets Scraper

parseforge/hugging-face-datasets-scraper

Scrape dataset metadata from Hugging Face Hub. Extract names, authors, download counts, likes, trending scores, task categories, size categories, languages, licenses, tags and descriptions. Filter by search query, task type, language, or license. Sort by trending, downloads, likes, or last modified.

ParseForge

CSV File to Dataset

lukaskrivka/csv-file-to-dataset

Upload a local or remote CSV/text file and convert it to Apify Dataset for further use.

Lukáš Křivka

179

Dataset Download

idiatech/apify-Dataset-Download

Download any dataset from the Apify platform automatically and in any format you want. Use this actor along with a Dataset toolbox automation tool.

idIA Tech

Youtube Trending Scraper

scrapepilotapi/youtube-trending-scraper

YouTube Trending Scraper extracts videos from the YouTube trending page. It collects video titles, URLs, channels, views, likes, publish dates, thumbnails, and ranking data. Ideal for trend discovery, content research, competitor analysis, and video analytics.

ScrapePilot

Youtube Trending Scraper

api-empire/youtube-trending-scraper

YouTube Trending Scraper extracts real-time trending videos from YouTube. Collect titles, thumbnails, creators, categories, views, likes, and metadata. Ideal for trend research, content planning, competitor analysis, and workflows needing structured YouTube trending data.