Pricing

from $0.60 / 1,000 results

Wikipedia Scraper

[💰 $0.6 / 1K] Search Wikipedia or fetch exact articles by URL or title, and extract clean structured data — summaries, full plain text, categories, 30-day pageviews, thumbnails, coordinates, and language counts — across 300+ language editions.

Pricing

from $0.60 / 1,000 results

Rating

0.0

(0)

Developer

SolidCode

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

Automation

You can access the Wikipedia 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 Integrations settings 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    "searchQueries": ["artificial intelligence"],
10    "articleUrls": [],
11    "language": "en",
12    "maxResultsPerSearch": 50,
13    "sortBy": "relevance",
14    "fullText": False,
15    "includeCategories": True,
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("solidcode/wikipedia-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wikipedia Scraper API in Python

The Apify API client for Python is the official library that allows you to use Wikipedia Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Wikipedia Scraper API in JavaScript

Wikipedia Scraper API through CLI

Wikipedia Scraper OpenAPI definition

Wikipedia Scraper API

Wikipedia-scraper

pluzgi/wikipedia-scraper

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automation-lab/wikipedia-scraper

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

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Fandom & Wikipedia Extractor

jupri/wiki-scraper

Scrape content from Fandom.com and Wikipedia.com

cat

154

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

📚 Wikipedia Scraper — Articles & Knowledge Data

nexgendata/wikipedia-scraper

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

NexGenData

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, 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.

Ale

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 Pageviews Scraper

parseforge/wikipedia-pageviews-scraper

Pull Wikipedia pageview metrics for any article in any language edition. Daily or monthly granularity, filter by access type (desktop, mobile, app) and agent type (user, spider, automated). Pick a date range. Export to JSON, CSV, or Excel for SEO research and content benchmarking.

ParseForge

Wikipedia Scraper — Articles, Summaries & Search

openclawmara/wikipedia-scraper

Scrape Wikipedia across 300+ languages. Modes: full articles, summaries, search, random, recent changes, category browse. Extracts text, sections, references, images, links, infobox. Official MediaWiki API — stable, no auth. Great for research, knowledge graphs, content enrichment.