# Wikipedia Scraper: Articles, Full Text & Page Views (`pankajbhatia/wikipedia-scraper`) Actor

Get Wikipedia articles by title, URL or search in any language: summary, full plain text, Wikidata ID, image, categories, links and daily page views. Official Wikimedia APIs, no login. Great for research, SEO, AI datasets and trend tracking.

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

## Pricing

from $1.00 / 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 Scraper: Articles, Full Text & Page Views

Get Wikipedia articles by **title, URL or search term**, in **any language**. Each row includes the title, short description, intro summary or full plain text, word count, Wikidata ID, main image, last edit time and **daily page views**, plus optional categories, linked articles and external links. Uses the official Wikimedia APIs. No login, no API key.

### Who is it for?

- **AI and RAG builders** who need clean, licensed text for knowledge bases and training data.
- **SEO and content teams** researching topics, entities and internal links.
- **Marketers and analysts** tracking public interest in brands, people or trends through page views.
- **Researchers and students** collecting articles in bulk.

### How to use it

1. Add **articles** (titles like `Retrieval-augmented generation` or URLs like `https://de.wikipedia.org/wiki/Berlin`).
2. Optionally add **search terms**; matching articles are added automatically.
3. Choose the **language**, turn on **Include full text** or **links and categories** if needed, and set **Page view days**.
4. Click **Start** and export to JSON, CSV or Excel.

### Input example

```json
{"articles": ["Retrieval-augmented generation"], "searchTerms": ["large language model"], "language": "en", "includeFullText": true, "pageviewDays": 30}
```

### Output example

```json
{"title": "Retrieval-augmented generation", "language": "en", "shortDescription": "Type of information retrieval using LLMs", "wikidataId": "Q121362277", "wordCount": 1567, "summary": "Retrieval-augmented generation (RAG) is a technique...", "pageviewsTotal": 33000, "pageviewsDailyAvg": 1100, "url": "https://en.wikipedia.org/wiki/Retrieval-augmented_generation", "license": "CC BY-SA 4.0 (text)"}
```

### How much does it cost?

Pay-per-event: a small fee **per article** returned, plus a tiny per-run start fee, with no subscription and no separate platform usage costs. For example, 1,000 articles cost about $1. Missing articles are **not charged**. Set **Maximum cost per run** to cap your spending.

### Use it through the API, integrations or AI agents

Run it from the Apify API, on a schedule, or connect it to Make, Zapier, n8n or Google Sheets. AI agents can find and call it through the Apify MCP server. Output is clean JSON with the same fields on every run.

### FAQ

**Is it legal?** Yes. It uses Wikimedia's official public APIs, identifies itself with a User-Agent and keeps a polite rate, as Wikimedia's API policy asks. Wikipedia text is licensed **CC BY-SA 4.0**: if you republish it, credit Wikipedia, link the article (the `url` field) and share adaptations under the same license. Images can have their own licenses.

**Which languages work?** Every Wikipedia language edition. Set the language code (en, de, es, fr, ja...) or paste a URL from that edition.

**How fresh are page views?** Wikimedia publishes daily page views with about a one-day delay; the tool covers the days up to yesterday.

### More tools from this developer

- [SAM.gov Contract Opportunities Finder & Bid Alerts](https://apify.com/pankajbhatia/sam-gov-contract-opportunities): federal contract opportunities and bid alerts
- [Sitemap & URL Extractor](https://apify.com/pankajbhatia/sitemap-url-extractor): get every URL of a website from its sitemaps
- [Website to Markdown for AI & RAG](https://apify.com/pankajbhatia/website-to-markdown): turn web pages into clean Markdown for LLMs
- [Tech Stack Detector](https://apify.com/pankajbhatia/tech-stack-detector): find what any website is built with
- [Apple App Store Reviews Scraper](https://apify.com/pankajbhatia/app-store-reviews): App Store reviews and ratings for any app
- [ATS Jobs Scraper](https://apify.com/pankajbhatia/ats-jobs-scraper): jobs from Greenhouse, Lever, Ashby, Workable and more
- [Website Screenshot](https://apify.com/pankajbhatia/website-screenshot): full-page, mobile and PDF screenshots in bulk
- [PDF to Text & Markdown Extractor](https://apify.com/pankajbhatia/pdf-text-extractor): extract text from PDFs for AI and search
- [Domain WHOIS, DNS & SSL Checker](https://apify.com/pankajbhatia/domain-whois-dns-ssl-checker): bulk domain, DNS, email security and SSL checks
- [SEO Meta Tags & On-Page Audit](https://apify.com/pankajbhatia/seo-meta-tags-checker): bulk on-page SEO audit with fixes
- [Bulk URL Status & Broken Link Checker](https://apify.com/pankajbhatia/url-status-broken-link-checker): status codes, redirect chains and broken links
- [RSS & Atom Feed Reader](https://apify.com/pankajbhatia/rss-feed-reader): merge and filter many news feeds
- [Hacker News Scraper](https://apify.com/pankajbhatia/hacker-news-scraper): HN stories, comments and Who is hiring jobs
- [Academic Paper Search](https://apify.com/pankajbhatia/academic-paper-search): papers from Crossref, arXiv and PubMed
- [SEC EDGAR Filings & Financials](https://apify.com/pankajbhatia/sec-edgar-filings-financials): 10-K, 10-Q, 8-K filings and company financials
- [Apple Podcasts Scraper](https://apify.com/pankajbhatia/apple-podcasts-scraper): podcast details and full episode lists
- [App Store Top Charts & App Search](https://apify.com/pankajbhatia/app-store-top-charts): top free, paid and grossing app rankings
- [ClinicalTrials.gov Scraper](https://apify.com/pankajbhatia/clinicaltrials-gov-scraper): search and export clinical trials
- [USAspending Federal Awards](https://apify.com/pankajbhatia/usaspending-federal-awards): who won federal contracts and grants
- [Grants.gov Opportunities](https://apify.com/pankajbhatia/grants-gov-opportunities): open and forecasted federal grants
- [Weather Forecast & Alerts](https://apify.com/pankajbhatia/weather-forecast-alerts): 9-day forecasts for any city, plus U.S. alerts
- [EU TED Tenders Scraper](https://apify.com/pankajbhatia/ted-eu-tenders-scraper): European public procurement notices
- [Bulk Domain Availability Checker](https://apify.com/pankajbhatia/bulk-domain-availability-checker): check which domains are free to register
- [Product Recalls Scraper](https://apify.com/pankajbhatia/product-recalls-fda-cpsc-nhtsa): FDA, CPSC and NHTSA vehicle recalls
- [Federal Register Scraper](https://apify.com/pankajbhatia/federal-register-documents): U.S. rules, notices and comment deadlines
- [npm & PyPI Package Stats](https://apify.com/pankajbhatia/npm-pypi-package-stats): downloads, versions and licenses for packages
- [Open Library Books Scraper](https://apify.com/pankajbhatia/open-library-books-scraper): book search and ISBN lookup
- [UK Contracts Finder Scraper](https://apify.com/pankajbhatia/uk-contracts-finder-scraper): UK public tenders and contract awards
- [Currency Exchange Rates (ECB)](https://apify.com/pankajbhatia/currency-exchange-rates-ecb): official latest and historical FX rates

# Actor input Schema

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

Article titles or Wikipedia URLs (any language).

## `searchTerms` (type: `array`):

Find articles by search and add them to the run.

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

Wikipedia language code for titles and searches, e.g. en, de, es, fr.

## `maxResultsPerSearch` (type: `integer`):

Limit for each search term.

## `includeFullText` (type: `boolean`):

Return the whole article as plain text (not just the intro).

## `fullTextMaxChars` (type: `integer`):

Cut long articles to this length (0 = no limit).

## `pageviewDays` (type: `integer`):

Daily page views for the last N days (0 = off).

## `includeLinksAndCategories` (type: `boolean`):

Add categories, linked articles and external links.

## Actor input object example

```json
{
  "articles": [
    "Retrieval-augmented generation"
  ],
  "searchTerms": [
    "web scraping"
  ],
  "language": "en",
  "maxResultsPerSearch": 10,
  "includeFullText": false,
  "fullTextMaxChars": 20000,
  "pageviewDays": 30,
  "includeLinksAndCategories": false
}
```

# Actor output Schema

## `results` (type: `string`):

One row per article with summary or full text, metadata and page views.

# 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": [
        "Retrieval-augmented generation"
    ],
    "searchTerms": [
        "web scraping"
    ],
    "language": "en",
    "maxResultsPerSearch": 10,
    "fullTextMaxChars": 20000,
    "pageviewDays": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("pankajbhatia/wikipedia-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 = {
    "articles": ["Retrieval-augmented generation"],
    "searchTerms": ["web scraping"],
    "language": "en",
    "maxResultsPerSearch": 10,
    "fullTextMaxChars": 20000,
    "pageviewDays": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("pankajbhatia/wikipedia-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 '{
  "articles": [
    "Retrieval-augmented generation"
  ],
  "searchTerms": [
    "web scraping"
  ],
  "language": "en",
  "maxResultsPerSearch": 10,
  "fullTextMaxChars": 20000,
  "pageviewDays": 30
}' |
apify call pankajbhatia/wikipedia-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pankajbhatia/wikipedia-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/GjCdczp7C5AZ0SOfK/builds/Hsl61h00ylVZ7Sw2f/openapi.json