Pricing

from $10.00 / 1,000 results

📚 Wikipedia Scraper — Articles & Knowledge Data

Extract structured data from Wikipedia — article text, infoboxes, categories, references & links. Build knowledge bases, AI training datasets & research tools. Pay per article.

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

NexGenData

Actor stats

Bookmarked

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Monthly active users

a day ago

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Developer tools

You can access the 📚 Wikipedia Scraper — Articles & Knowledge Data 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 Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {};
11
12// Run the Actor and wait for it to finish
13const run = await client.actor("nexgendata/wikipedia-scraper").call(input);
14
15// Fetch and print Actor results from the run's dataset (if any)
16console.log('Results from dataset');
17console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
18const { items } = await client.dataset(run.defaultDatasetId).listItems();
19items.forEach((item) => {
20    console.dir(item);
21});
22
23// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

📚 Wikipedia Scraper — DBpedia & Wikidata API Alternative API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use 📚 Wikipedia Scraper — Articles & Knowledge Data API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

📚 Wikipedia Scraper — Articles & Knowledge Data API in Python

📚 Wikipedia Scraper — Articles & Knowledge Data API through CLI

📚 Wikipedia Scraper — Articles & Knowledge Data OpenAPI definition

📚 Wikipedia Scraper — Articles & Knowledge Data API

Wikipedia Page Dataset Scraper

scrapeai/wikipedia-page-dataset-scraper

Scrape Wikipedia articles and export structured dataset fields for training, knowledge bases, and research.

ScrapeAI

5.0

Wikipedia Article Extractor (AI-ready)

changeable_acacia/wikipedia-article-extractor-ai-ready

Extracts clean JSON from any Wikipedia article for AI/RAG use.

SABYASACHI TRIPATHY

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 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

5.0

Wikipedia Data Scraper Pro

moving_beacon-owner1/my-actor-39

An automated crawler that extracts textual content and metadata from Wikipedia pages for building knowledge bases.

Jamshaid Arif

Wikipedia Article Extractor

glassventures/wikipedia-article-extractor

Extract Wikipedia articles via MediaWiki API. Get full text, summaries, sections, categories, images, links. Multi-language. Perfect for AI/ML training data and RAG.

Glass Ventures

Wikipedia Scraper

gio21/wikipedia-scraper

Search Wikipedia and return article summaries or full text via the public REST API. Supports 300+ languages. Useful for knowledge extraction, research, content generation, and entity enrichment.

Gio

Wikipedia Scraper - Articles, Search & Recent Changes

legend006/wikipedia-scraper

Scrape Wikipedia articles by title, run keyword searches, pull recent changes, or extract entire categories — across any of 300+ language editions. Returns clean text, summaries, references, links, and metadata. Built for AI/LLM training datasets, NLP research, and knowledge-graph building.

NIJ KANANI

Wikipedia Article Scraper

devilscrapes/wikipedia-article-scraper

Extract Wikipedia article text, summary, infobox, references, and categories — one row per article, in any language. We handle title normalisation, redirects, retries, and rate-limit pacing so your dataset arrives clean.

DevilScrapes

Wikipedia Data Extractor - Articles & Summaries

vernacular_reservoir/wikipedia-data-extractor

Extract structured data from Wikipedia articles by topic or keyword. Get title, summary, description, thumbnail, coordinates and related links. Supports all Wikipedia languages. No API key required.