# Wikipedia Pageviews API - Article Traffic & Trending Topics (`pushbuild/wikipedia-pageviews`) Actor

Daily or monthly Wikipedia pageviews for any article in any language, with totals, averages and peaks, plus the day's most-viewed articles. A free signal of public attention for brands, people, products and events.

- **URL**: https://apify.com/pushbuild/wikipedia-pageviews.md
- **Developed by:** [Pushbuild Data](https://apify.com/pushbuild) (community)
- **Categories:** Social media, Other, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 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/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 - Article Traffic & Trending Topics

Wikipedia traffic is a free, daily measure of public attention. Get it for any article, in any language.

### Article pageviews

Daily or monthly views between any dates since July 2015, humans only or all traffic, by platform, with total, average and peak day, plus the article's title, description, summary, thumbnail and Wikidata ID.

### Top articles

The most-viewed articles on any day, ranked, for any language edition.

### Uses

Trend and attention tracking for brands, people, films, stocks and crypto; media research; content planning. Pay per result.

# Actor input Schema

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

Exact Wikipedia article titles, e.g. OpenAI, Taylor Swift, Bitcoin.

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

Wikipedia language code: en, de, fr, es, ja...

## `days` (type: `integer`):

Window ending yesterday, if no dates are given.

## `startDate` (type: `string`):

YYYY-MM-DD (data from 2015-07-01).

## `endDate` (type: `string`):

YYYY-MM-DD.

## `granularity` (type: `string`):

Series resolution.

## `agent` (type: `string`):

Exclude automated traffic.

## `access` (type: `string`):

Device type.

## `includeSummary` (type: `boolean`):

Title, description, intro text, thumbnail and Wikidata ID.

## `topArticles` (type: `boolean`):

Also return the most-viewed articles for a day.

## `topDate` (type: `string`):

Day for top articles (default yesterday).

## `maxTopArticles` (type: `integer`):

How many to return.

## Actor input object example

```json
{
  "articles": [
    "Bitcoin",
    "Ethereum"
  ],
  "language": "en",
  "days": 30,
  "granularity": "daily",
  "agent": "user",
  "access": "all-access",
  "includeSummary": true,
  "topArticles": false,
  "maxTopArticles": 100
}
```

# Actor output Schema

## `results` (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 = {
    "articles": [
        "Bitcoin",
        "Ethereum"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pushbuild/wikipedia-pageviews").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 = { "articles": [
        "Bitcoin",
        "Ethereum",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("pushbuild/wikipedia-pageviews").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 '{
  "articles": [
    "Bitcoin",
    "Ethereum"
  ]
}' |
apify call pushbuild/wikipedia-pageviews --silent --output-dataset

```

## MCP server setup

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

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/2e5KWd4J5x6w0TJoE/builds/vOW3sAKzNDv5fDlFn/openapi.json