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Wikipedia Scraper — Search, Summaries & Full Text

Try for free

Search Wikipedia and get article summaries or full plain-text content in any language: title, extract, description, thumbnail, coordinates, categories, links count, last edit. Built for research and RAG agents. No API key.

Pricing

from $0.70 / 1,000 result items

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Developer

Samat Makatov

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11 hours ago

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Wikipedia Scraper — Search, Summaries & Full Text API through CLI

The Apify CLI is the official tool that allows you to use Wikipedia Scraper — Search, Summaries & Full Text 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 — Search, Summaries & Full Text API in Python

Wikipedia Scraper — Search, Summaries & Full Text API in JavaScript

Wikipedia Scraper — Search, Summaries & Full Text OpenAPI definition

Wikipedia Scraper — Search, Summaries & Full Text API

Wikipedia Scraper

bgfc97/wikipedia-scraper

Search Wikipedia and fetch article detail — summary, full plain-text extract, description, categories, thumbnail, coordinates, Wikidata ID — in any language, via the official MediaWiki API. No key, no proxy.

Bruno

Wikipedia Articles Scraper — Search, Summary, Full HTML

scrupulous_waterbird_m4w/wikipedia-articles

Fetch Wikipedia articles by title (pipe-separated), free-text search, or category name. Returns article summary, full HTML with sections, search results, or category members via the public MediaWiki REST + Action API. No auth, no proxy, no API key. CC-BY-SA content.

Mori

Wikipedia Article Scraper

cloud9_ai/wikipedia-scraper

Scrape Wikipedia articles by search keyword or exact title. Returns summaries, full article text, categories, and links. Supports 300+ languages.

cloud9

Wikipedia Scraper — Articles, Content & Pageviews

hipersoft/wikipedia-scraper

Search Wikipedia or look up exact articles and get the full plain-text content, summary, categories, image, Wikidata ID and monthly pageview trends. Any language. Great for research, RAG and AI datasets. No setup.

hiper soft

Wikipedia Scraper - Articles, Summaries & Full Text for AI/RAG

flash_scraper/wikipedia-scraper

Wikipedia full text scraper: search by keyword or fetch exact titles in 300+ languages and get the intro summary or the full article plaintext plus word count, categories, thumbnail and URL. Free, keyless MediaWiki API. Built for RAG, LLM training and research. CSV/JSON/Excel.

Flash Scrape

Wikipedia Scraper — Articles, Summaries & Images

hichemdev/wikipedia-scraper

Scrape Wikipedia by search query or title: summary, description, full plain text, images, coordinates and canonical URL. Any language. No API key.

Hichem Ben Moussa

Wikipedia Article Extractor

receptional_blender/wikipedia-article-extractor

Extract clean, structured Wikipedia articles as JSON — summary, description, canonical URL, thumbnail, geo-coordinates and optional full text — for any list of titles or a search query, in any language edition. Powered by Wikipedia's free public APIs; no key, login or proxy required.

Assia Fadli

Wikipedia Scraper — Articles, Summaries & Views

ponderable_hydrometer/wikipedia-scraper

Search Wikipedia in any language — article summaries, extracts, descriptions, thumbnails & monthly pageview trends. Free keyless Wikimedia APIs. For research, content & LLMs.

Ponderable Hydrometer

Wikipedia Article Scraper

crawlerbros/wikipedia-scraper

Extract structured data from Wikipedia articles. Get summaries, categories, images, metadata, and descriptions using Wikipedia's official API. Supports 300+ languages.

Crawler Bros

Wikipedia Scraper: Articles & Pageview Trends

glitchbound/wikipedia-scraper

Pull Wikipedia articles with summary, full plain text, images and coordinates, plus daily pageview analytics per article: total, average, peak day and trend direction. Any language edition. Official Wikimedia APIs, no key.