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from $1.40 / 1,000 apify default dataset items

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Wikipedia Scraper - Articles, Summaries & Full Text for RAG

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Wikipedia full text scraper and Wikipedia API scraper: search by keyword or exact titles in 300+ languages. Get the Wikipedia summary or full text of each article as plaintext, with word count, categories, thumbnail and URL. Wikipedia data for a RAG dataset or LLM training data via MediaWiki API.

Pricing

from $1.40 / 1,000 apify default dataset items

Rating

0.0

(0)

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Flash Scrape

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Monthly active users

9 days ago

Last modified

Wikipedia Scraper - Article Summaries, Full Text & Datasets API through CLI

The Apify CLI is the official tool that allows you to use Wikipedia Scraper - Articles, Summaries & Full Text for RAG 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:

Wikipedia Scraper - Articles, Summaries & Full Text for RAG API in Python

Wikipedia Scraper - Articles, Summaries & Full Text for RAG API in JavaScript

Wikipedia Scraper - Articles, Summaries & Full Text for RAG OpenAPI definition

Wikipedia Scraper - Articles, Summaries & Full Text for RAG API

Wikipedia Scraper

automation-lab/wikipedia-scraper

Search and extract Wikipedia articles — titles, summaries, full content, categories, and images. Uses the free MediaWiki API.

Automation Lab

Wikipedia-scraper

pluzgi/wikipedia-scraper

The scraper searches Wikipedia for a given term, extracts the titles and URLs of search results, and retrieves the last modification date from each page.

pluzgi

Wikipedia Scraper - Articles, Summaries, Metadata

santamaria-automations/wikipedia-scraper

Extract Wikipedia articles including full content, summary, thumbnails, categories, external links, coordinates, and Wikidata IDs. Multi-language support for 12+ languages. Export data, run via API, schedule and monitor runs, or integrate with other tools.

NanoScrape

Google News Scraper — Full Text & Real Article URLs

khadinakbar/google-news-scraper

Extract Google News articles by keyword, topic or region, with title, publisher, real article URL, publish date and optional full text. No login or API key; works with Apify MCP and the API.

Khadin Akbar

Wikipedia Scraper | $5 / 1k | Fast & Reliable

fatihtahta/wikipedia-scraper

Get full articles and detailed search results with the Wikipedia Scraper. Extract structured data including titles, summaries, citations, and full content. Ideal for market research, AI training, and competitive intelligence.

Fatih Tahta

Article Text Extractor | News and Blog API

xtech/article-extractor

Extract readable text and available metadata from public news articles and blog posts. Export titles, authors, dates, images, summaries, and keywords for content research and downstream analysis. Start with a known article URL and review a small sample before processing a larger list.

Xtech

1.0

(1)

Wikipedia Scraper - Full Article Text and Search

dami_studio/wikipedia-scraper

Wikipedia scraper: search by keyword, or fetch exact article titles in any language edition. Search rows give the snippet, word count, size and last edit. Title rows give the intro or the whole article as plain text, the lead image and the categories. $1.00 per 1,000 pages.

Dami's Studio

5.0

(1)

Wikipedia Article Scraper

kayhermes/wikipedia-scraper

Khoa Nguyen

Article Scraper & News Scraper API

tugelbay/article-extractor

Article scraper API for clean text and metadata from URLs as Markdown, text, or HTML for RAG, AI agents, monitoring, and research. Guide: https://konabayev.com/tools/article-extractor/?utm_source=apify_info&utm_medium=referral&utm_campaign=article-extractor

Tugelbay Konabayev

Wikipedia Article Extractor

blazing_stake/wikipedia-extractor

Fetch clean summaries, descriptions, thumbnails & canonical URLs for Wikipedia articles by title, in any language edition. Official REST API, no key. For knowledge panels & enrichment.