# Wikipedia Article Summary (`vigilant_jasmine/wikipedia-article-summary`) Actor

Fetch clean Wikipedia article summaries in any language via the official REST API: title, description, extract, thumbnail, GPS coordinates, Wikidata id and page URL. Free, batch-friendly.

- **URL**: https://apify.com/vigilant\_jasmine/wikipedia-article-summary.md
- **Developed by:** [DEV DEV](https://apify.com/vigilant_jasmine) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Article Summary

### What it does

This **free** actor fetches clean **Wikipedia article summaries** in any language through the **official Wikimedia REST API**. Give it a list of article titles and a language edition (`en`, `fr`, `de`, `es`, …) and get, for each article, the canonical title, a one-line description, the intro **extract**, page type, **thumbnail image**, **GPS coordinates** (for places), the Wikidata item id, the page URL and the last-edit timestamp. Ideal for enriching datasets, knowledge panels, chatbots and research pipelines. You only pay your Apify platform usage.

### Input

| Field | Type | Description |
|---|---|---|
| `titles` | array of strings | Article titles to look up. One item per title. |
| `language` | string | Wikipedia language code (`en`, `fr`, `de`, …). |

### Output

One item per title:

```json
{
  "query": "Alan Turing",
  "status": "found",
  "lang": "en",
  "title": "Alan Turing",
  "description": "English computer scientist (1912–1954)",
  "extract": "Alan Mathison Turing was an English mathematician ...",
  "thumbnail": "https://upload.wikimedia.org/...jpg",
  "latitude": null,
  "longitude": null,
  "url": "https://en.wikipedia.org/wiki/Alan_Turing",
  "last_edit": "2026-01-04T10:22:00Z"
}
```

`status` is `found`, `not_found` or `error`. Redirects (e.g. common misspellings) are followed automatically.

### Use cases

- Enrich datasets and CRMs with short descriptions and images.
- Build knowledge panels, tooltips or chatbot answers.
- Get coordinates and thumbnails for places and landmarks.
- Multilingual content research and summarisation pipelines.

### Limitations & fair use

Data comes from the Wikimedia REST API under CC BY-SA / GFDL — attribute Wikipedia when you display content. A descriptive User-Agent and a polite delay between requests are used, per Wikimedia's API etiquette. Very high volumes should be rate-limited accordingly.

### More actors by this developer

More open-data actors: https://apify.com/vigilant\_jasmine

# Actor input Schema

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

List of Wikipedia article titles to look up (e.g. 'Grenoble', 'Alan Turing', 'Photosynthesis').

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

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

## Actor input object example

```json
{
  "titles": [
    "Grenoble",
    "Alan Turing",
    "Photosynthesis"
  ],
  "language": "en"
}
```

# 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 = {
    "titles": [
        "Grenoble",
        "Alan Turing",
        "Photosynthesis"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("vigilant_jasmine/wikipedia-article-summary").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 = { "titles": [
        "Grenoble",
        "Alan Turing",
        "Photosynthesis",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("vigilant_jasmine/wikipedia-article-summary").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 '{
  "titles": [
    "Grenoble",
    "Alan Turing",
    "Photosynthesis"
  ]
}' |
apify call vigilant_jasmine/wikipedia-article-summary --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/zSKlMmpOkL4LhIiZ5/builds/fmiXdILNEifhcB33W/openapi.json