# Wikipedia Pageviews API + Wikidata: Daily Views per Page (`lepidata/wiki-pageviews`) Actor

Daily Wikipedia page views for any titles and date range, totals and peak day, plus Wikidata ID, label, description and aliases. Uses the public Wikimedia APIs.

- **URL**: https://apify.com/lepidata/wiki-pageviews.md
- **Developed by:** [Lepi Data](https://apify.com/lepidata) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.10 / 1,000 page rows

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 + Wikidata: Daily Views per Page

**What it does.** For each Wikipedia page title, returns one row with daily page views over your date range, total, average and peak day, plus the page's Wikidata item (ID, label, description, aliases, instance-of IDs, sitelink count).

**Input**

- `titles`: page titles, one per line. Redirects are followed; titles that land on the same page return one row (`inputTitles` lists them).
- `project`: Wikipedia edition (default `en.wikipedia`).
- `lastDays` (default 30, ending yesterday UTC) or `startDate` / `endDate` (YYYY-MM-DD, from 2015-07-01, max 366 days).
- `agent` (user, all-agents, automated, spider), `access` (all-access, desktop, mobile-web, mobile-app).
- `includeDaily`, `includeWikidata` (both default on), `maxItems` (up to 2,000).

**Output fields**
`project`, `title`, `inputTitles`, `pageId`, `redirectedFrom`, `pageUrl`, `startDate`, `endDate`, `access`, `agent`, `totalViews`, `daysWithData`, `averageDailyViews`, `peakDate`, `peakViews`, `daily[{date, views}]`, `wikidataId`, `wikidataLabel`, `wikidataDescription`, `wikidataAliases`, `instanceOf`, `sitelinksCount`, `wikidataUrl`
Free status rows (not charged): `no-results` (page doesn't exist), `invalid-input`, `api-error`, `free-plan-limit`, `charge-limit-reached`.
Views are counted for the resolved page title, not for redirect titles.

**Example** (the build's prefill): `{"titles":["Artificial_intelligence"],"project":"en.wikipedia","lastDays":30}`

**Data source and compliance**

- Data from the Wikimedia Pageviews API, the MediaWiki API and Wikidata, provided by the Wikimedia Foundation. Pageview data and Wikidata structured data are released under **CC0** (public domain dedication).
- Only public page-level counts and item data. No editor, user or account data is collected.
- Independent Lepi Data tool, **not affiliated with or endorsed by the Wikimedia Foundation**. No Wikimedia or Wikipedia logos are used. Wikipedia is a trademark of the Wikimedia Foundation.
- One request at a time, with a User-Agent carrying a contact URL as Wikimedia's policy asks, and back-off on errors.
- Free-plan accounts get up to 100 results per run.

**Pricing.** Pay per page row (one per page, whatever the date range), flat on every plan, no start fee. Free status rows are never charged.

# Actor input Schema

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

Wikipedia page titles, one per line (spaces or underscores). Redirects are followed; titles that resolve to the same page return one row.

## `project` (type: `string`):

Language edition, e.g. en.wikipedia, de.wikipedia, ja.wikipedia.

## `lastDays` (type: `integer`):

Days ending yesterday (UTC). Ignored if Start date is set.

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

YYYY-MM-DD (UTC), from 2015-07-01. Overrides Last N days.

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

YYYY-MM-DD (UTC). Default: yesterday. Range max 366 days.

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

user = human readers (default); spider/automated = bots; all-agents = everything.

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

Count views from all devices or one access method.

## `includeDaily` (type: `boolean`):

Adds a daily array of {date, views}. Turn off for totals only.

## `includeWikidata` (type: `boolean`):

Adds the page's Wikidata ID, label, description, aliases, instance-of IDs and sitelink count.

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

Maximum page rows to return (up to 2,000).

## Actor input object example

```json
{
  "titles": [
    "Artificial_intelligence"
  ],
  "project": "en.wikipedia",
  "lastDays": 30,
  "agent": "user",
  "access": "all-access",
  "includeDaily": true,
  "includeWikidata": true,
  "maxItems": 100
}
```

# Actor output Schema

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

All rows from this run.

# 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": [
        "Artificial_intelligence"
    ],
    "project": "en.wikipedia",
    "lastDays": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("lepidata/wiki-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 = {
    "titles": ["Artificial_intelligence"],
    "project": "en.wikipedia",
    "lastDays": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("lepidata/wiki-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 '{
  "titles": [
    "Artificial_intelligence"
  ],
  "project": "en.wikipedia",
  "lastDays": 30
}' |
apify call lepidata/wiki-pageviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lepidata/wiki-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/JlqD2DRgavkfUUodQ/builds/F9tx4eZpzQpHIxvcD/openapi.json