# Wikipedia Summary & Extract (`bgfc97/wikipedia-summary`) Actor

Get the clean intro extract, description, thumbnail and image for any Wikipedia topic in any language, via the official Wikimedia REST API. For content apps, chatbots, RAG and knowledge cards. No key, no proxy.

- **URL**: https://apify.com/bgfc97/wikipedia-summary.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Developer tools, Marketing, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 summary fetcheds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Summary & Extract

Get the **clean intro summary**, short description, thumbnail and main image for any Wikipedia topic — in any language — via the official **Wikimedia REST API**. No key, no proxy.

### Input

```json
{ "titles": ["OpenAI", "Quantum computing"], "language": "en" }
```

### Output (per topic)

```json
{
  "title": "OpenAI",
  "found": true,
  "description": "Artificial intelligence research company",
  "extract": "OpenAI is an American artificial intelligence research organization...",
  "thumbnail": "https://upload.wikimedia.org/...",
  "url": "https://en.wikipedia.org/wiki/OpenAI"
}
```

### Use cases

- Knowledge cards / tooltips in apps
- Feed clean context into chatbots, LLMs and RAG pipelines
- Content enrichment and previews

Handles redirects and flags disambiguation pages. Localizable by `language`. Billed per **topic**.

# Actor input Schema

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

Wikipedia topics to summarize. Example: OpenAI, Quantum computing, Ayrton Senna.

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

Wikipedia language code. Example: en, pt, es, de.

## Actor input object example

```json
{
  "titles": [
    "OpenAI",
    "Quantum computing"
  ],
  "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": [
        "OpenAI",
        "Quantum computing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/wikipedia-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": [
        "OpenAI",
        "Quantum computing",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/wikipedia-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": [
    "OpenAI",
    "Quantum computing"
  ]
}' |
apify call bgfc97/wikipedia-summary --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bgfc97/wikipedia-summary",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mmYLejOqe7fhNIl7M/builds/9cY4zDgTxXPP05lCE/openapi.json