# Wikipedia Pageviews API – Trending Articles (`fluyeporlaweb/wikipedia-trending-scraper`) Actor

Wikipedia pageviews and trending articles API: most-viewed pages per day in any language, plus pageviews for your topics. Official API. SEO/AEO, MCP.

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

## Pricing

from $1.40 / 1,000 articles

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Wikipedia Pageviews API – Trending Articles

**Wikipedia pageviews API** for **trending articles**: most-viewed pages per day in any language project, plus pageviews for your own topic list. Official Wikimedia Pageviews API. Useful for SEO, AEO and AI agents.

### What does it do?

- Fetch top articles by pageviews for one or more Wikipedia projects and a date.
- Optionally fetch daily pageviews for a list of article titles.
- Return rank, article title, views, project, date and URL.

### Use cases

- **SEO / AEO**: spot trending Wikipedia topics for content briefs.
- **News desks**: see what readers are looking up today.
- **Research**: compare pageviews across languages.
- **AI agents**: pull trending Wikipedia signals via MCP.

### Input

| Field | Description |
|---|---|
| `projects` | Wikipedia projects, e.g. en.wikipedia, es.wikipedia |
| `date` | YYYY-MM-DD for top charts. Leave empty for latest available. |
| `topN` | How many top articles per project. Default 50. |
| `articles` | Optional list of article titles for per-article pageviews. |
| `articlesProject` | Project for the articles list. Default en.wikipedia. |
| `articleDays` | Days of history for article pageviews. Default 30. |

Example input:

```json
{
  "projects": [
    "en.wikipedia"
  ],
  "topN": 20
}
```

### Output

Real output (sample from a prior run on 27 Oct 2026, Europe/Madrid):

```json
[
  {
    "type": "trending",
    "project": "en.wikipedia",
    "date": "2026-10-25",
    "rank": 1,
    "article": "2026 Brazilian general election",
    "views": 271783,
    "url": "https://en.wikipedia.org/wiki/2026_Brazilian_general_election"
  },
  {
    "type": "trending",
    "project": "en.wikipedia",
    "date": "2026-10-25",
    "rank": 2,
    "article": "2026 Serbian parliamentary election",
    "views": 242482,
    "url": "https://en.wikipedia.org/wiki/2026_Serbian_parliamentary_election"
  }
]
```

Export as JSON, CSV or Excel, read through the API, or send to Google Sheets, Make, Zapier, n8n or webhooks. You can also run this Actor from AI agents through the Apify MCP server.

### Pricing

Pay per event: **$1.40 per 1,000 articles plus $0.00005 per run start.** There is no extra platform usage charge beyond Apify’s normal platform fees if any apply to your plan.

### FAQ

**Is a login required?** No. Uses the public Wikimedia Pageviews API.

**Which languages?** Any project id Wikimedia supports (en.wikipedia, es.wikipedia, de.wikipedia, …).

**Can AI agents use it?** Yes. JSON via Apify API or MCP.

### Data source and license

Source: [Wikimedia Pageviews API](https://wikimedia.org/api/rest_v1/). Respect Wikimedia API etiquette. Not affiliated with Wikimedia Foundation.

This Actor is not affiliated with or endorsed by the data source. You are responsible for using the data in line with the source's license and terms.

# Actor input Schema

## `projects` (type: `array`):

Language editions. Example: en.wikipedia, es.wikipedia, de.wikipedia

## `date` (type: `string`):

Day (YYYY-MM-DD). Empty = yesterday (UTC). Data is published with about 1 day of delay.

## `topN` (type: `integer`):

Trending articles per project, excluding the main page and special pages. Example: 25

## `articles` (type: `array`):

Article titles to measure demand (pageviews). Example: ChatGPT, Web scraping

## `articlesProject` (type: `string`):

Defaults to the first project. Example: en.wikipedia

## `articleDays` (type: `integer`):

Window ending on `date`. Example: 30

## Actor input object example

```json
{
  "projects": [
    "en.wikipedia",
    "es.wikipedia"
  ],
  "topN": 50,
  "articleDays": 30
}
```

# Actor output Schema

## `items` (type: `string`):

No description

## `summary` (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 = {
    "projects": [
        "en.wikipedia",
        "es.wikipedia"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fluyeporlaweb/wikipedia-trending-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 = { "projects": [
        "en.wikipedia",
        "es.wikipedia",
    ] }

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

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

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

```

## CLI example

```bash
echo '{
  "projects": [
    "en.wikipedia",
    "es.wikipedia"
  ]
}' |
apify call fluyeporlaweb/wikipedia-trending-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fluyeporlaweb/wikipedia-trending-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/axomCKtJJWKWRC7BY/builds/xogtPle7evYUBv82W/openapi.json