You can access the Wikipedia Data Scraper Pro 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 = { "topics": ["Machine learning"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("moving_beacon-owner1/my-actor-39").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wikipedia Data Scraper Pro API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Wikipedia Data Scraper Pro API in JavaScript

Wikipedia Data Scraper Pro API through CLI

Wikipedia Data Scraper Pro OpenAPI definition

Wikipedia Data Scraper Pro API

Wikipedia Scraper

openclawmara/wikipedia-scraper

OpenClaw Mara

Wikipedia Scraper

nexgendata/wikipedia-scraper

Extract Wikipedia articles with full text, infoboxes, categories, and references. Build knowledge bases and research datasets at scale.

Stephan Corbeil

Wikipedia Email Scraper - Advanced, Fast & Cheapest

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

📚 Wikipedia Email Scraper allows you to collect publicly available editor and organization emails from Wikipedia pages 🔎 Great for research and academic outreach 📧

Lead Heaven

Wikipedia MCP Server

agentify/wikipedia-mcp-server

MCP server for Wikipedia, providing LLMs and clients with real-time access to Wikipedia articles, summaries, sections, and related information via Apify Actor.

agentify

Wikipedia Scraper

automation-lab/wikipedia-scraper

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

Stas Persiianenko

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 Scraper - Articles, Summaries & Search

makework36/wikipedia-scraper

Scrape Wikipedia articles, summaries, and search results. Supports summary, search, and random article modes via the Wikipedia REST API. Pure HTTP, no browser needed.

oscar lira

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 | $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.