# Wikipedia Scraper – Articles, Summaries & Extracts (`ninhothedev/wikipedia-scraper`) Actor

$0.5/1K 🔥 Fast Wikipedia scraper! Article title, summary, full text, links, images & categories in any language. JSON, CSV, Excel or API in seconds. Search or list titles & pull thousands of articles for research & AI training ⚡

- **URL**: https://apify.com/ninhothedev/wikipedia-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Wikipedia Scraper – Articles, Summaries & Search

**Scrape Wikipedia articles in any language: title, summary, full intro text, categories, thumbnail and URL. Search or fetch by title. As JSON, CSV or Excel. Free, no key.**

### 💵 Pricing

**Pay per result — $0.0004 per item.** No subscription, no proxy needed. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for **$0**.

### 🔎 What can it extract?

- Title & short description
- Plain-text intro/summary
- Categories, thumbnail, page ID
- Language & last-modified
- Search across articles

### 🚀 How do I use it?

1. Click **Try for free**.
2. Set the input (see example below).
3. Click **Start** and download results as JSON, CSV or Excel — or pull them via the API / schedule them.

### ⚙️ Input example

```json
{
  "mode": "search",
  "query": "web scraping",
  "language": "en",
  "maxItems": 50
}
```

### 📦 Output example

```json
{
  "title": "Web scraping",
  "extract": "Web scraping is data scraping used for\u2026",
  "word_count": 465,
  "lang": "en"
}
```

### 🎯 Use cases

- Knowledge bases & AI training
- Content enrichment
- Research datasets
- Entity/summary lookups

### 💰 How much will it cost?

You pay only the per-result price (no proxy cost):
100 → ~$0.04 · 1,000 → ~$0 · 10,000 → ~$4

### 🆚 Why this one

| Feature | This actor | Others |
|---|---|---|
| Any language | ✅ | English only |
| Search + full intro + categories | ✅ | partial |
| No key needed | ✅ | sometimes |

### 🔗 Related actors

- [Google News Scraper](https://apify.com/ninhothedev/google-news-scraper) — news
- [Hacker News Scraper](https://apify.com/ninhothedev/hacker-news-scraper) — tech
- [Open Library Book Scraper](https://apify.com/ninhothedev/open-library-book-scraper) — books
- [Devto Scraper](https://apify.com/ninhothedev/devto-scraper) — articles

### ❓ FAQ

**Key/proxy?** No. **Languages?** Any Wikipedia edition. **Full body?** Intro extract (exintro).

### 🛟 Support

Found a bug or need an extra field? Open an issue on the actor — fixes and new fields ship fast.

### Legal & privacy

Public Wikipedia content (CC BY-SA). Attribute as required.

***

**Keywords:** wikipedia scraper, articles, summaries, knowledge base, AI training, research, JSON CSV Excel

# Actor input Schema

## `mode` (type: `string`):

search (find articles matching a query, then fetch each summary) or articles (fetch specific titles directly).

## `query` (type: `string`):

Search term to find Wikipedia articles (used when mode=search), e.g. 'web scraping'.

## `titles` (type: `array`):

Exact Wikipedia article titles to scrape (used when mode=articles), e.g. 'Python (programming language)'.

## `language` (type: `string`):

Wikipedia language edition code, e.g. 'en', 'de', 'fr', 'es'.

## `maxItems` (type: `integer`):

Maximum number of articles to scrape.

## Actor input object example

```json
{
  "mode": "search",
  "query": "web scraping",
  "titles": [
    "Python (programming language)"
  ],
  "language": "en",
  "maxItems": 50
}
```

# Actor output Schema

## `articles` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "web scraping",
    "titles": [
        "Python (programming language)"
    ],
    "language": "en",
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/wikipedia-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "query": "web scraping",
    "titles": ["Python (programming language)"],
    "language": "en",
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/wikipedia-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "web scraping",
  "titles": [
    "Python (programming language)"
  ],
  "language": "en",
  "maxItems": 50
}' |
apify call ninhothedev/wikipedia-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ninhothedev/wikipedia-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/eZpqt5KxDiQPeCzd0/builds/UL7lZ95ePWhe2dqic/openapi.json