# Wikipedia Page Watcher — Edit History Tracker (`m_ctim/wikipedia-page-watcher`) Actor

Track recent edits to any Wikipedia page: who made the change, when, how much text changed, and whether it looks like a revert. For PR, comms, and research teams watching a brand, person, or topic page.

- **URL**: https://apify.com/m\_ctim/wikipedia-page-watcher.md
- **Developed by:** [Timothy Kelvin](https://apify.com/m_ctim) (community)
- **Categories:** Other
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Page Watcher — Edit History Tracker

Track recent edits to any Wikipedia page: who made the change, when,
how many bytes of text changed, and whether the edit summary looks like
a revert or undo.

Built for PR, comms, and research teams watching a company, executive,
or topic page for vandalism, edit wars, or someone quietly rewriting the
narrative.

### Input

```json
{
  "pageTitle": "Tesla, Inc.",
  "language": "en",
  "daysBack": 30,
  "maxResults": 25
}
```

| Field | Type | Description |
|---|---|---|
| `pageTitle` | string | Exact Wikipedia page title, e.g. `"Tesla, Inc."` or `"Elon Musk"`. Check the URL after `/wiki/` if unsure. |
| `language` | string | Wikipedia language edition code. Default `"en"`. |
| `daysBack` | number | How many days back from today to search, by edit timestamp. Default `30`, max `365`. |
| `maxResults` | number | Max edits to return, most recent first. Default `25`, max `100`. |

### Output

One record per edit:

```json
{
  "pageTitle": "Tesla, Inc.",
  "revisionId": 1368347298,
  "parentRevisionId": 1368346447,
  "user": "RickyCourtney",
  "isAnonymous": false,
  "isMinorEdit": false,
  "timestamp": "2026-08-08T14:48:25Z",
  "sizeBytes": 351876,
  "sizeChangeBytes": -113,
  "comment": "/* Automotive products */ The Cybercab is not yet offered/sold/produced beyond prototypes",
  "looksLikeRevert": false,
  "diffUrl": "https://en.wikipedia.org/w/index.php?title=Tesla%2C%20Inc.&diff=1368347298&oldid=1368346447"
}
```

`isAnonymous` is `true` when the edit was made by an IP address rather
than a registered account — often worth a second look. `looksLikeRevert`
is a simple keyword match on the edit summary (`undo`, `undid`,
`revert`, `rv`), not an authoritative signal, but a fast way to spot
edit wars in the list.

A page with no edits in the requested window returns no items but is
still billed once for the search.

### How it works

Direct calls to the official [MediaWiki Action
API](https://www.mediawiki.org/wiki/API:Main_page) (`wikipedia.org/w/api.php`)
— no proxy, no key, no scraping. Wikipedia content and edit metadata are
freely reusable under Wikimedia's terms.

### Pricing note

Billed per **search**, not per edit returned — one charge whether the
search returns 0 edits or 100.

### Related products

- [News Intelligence Crawler](https://github.com/timmKal01/news-intelligence-crawler) — broader news coverage for the same brand/person monitoring use case
- [Wikipedia Pageviews Tracker](https://github.com/timmKal01/wikipedia-pageviews-tracker) — tracks traffic/attention on a page, not edits

# Actor input Schema

## `pageTitle` (type: `string`):

Exact Wikipedia page title, e.g. "Tesla, Inc." or "Elon Musk". Must match the page's actual title (check the URL after /wiki/ if unsure).

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

Wikipedia language edition code, e.g. "en", "de", "fr", "ja".

## `daysBack` (type: `integer`):

How many days back from today to search, by edit timestamp.

## `maxResults` (type: `integer`):

Maximum number of edits to return, most recent first.

## Actor input object example

```json
{
  "language": "en",
  "daysBack": 30,
  "maxResults": 25
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("m_ctim/wikipedia-page-watcher").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("m_ctim/wikipedia-page-watcher").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 '{}' |
apify call m_ctim/wikipedia-page-watcher --silent --output-dataset

```

## MCP server setup

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

```

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/OnEtK7j1TdnrRjpDP/builds/63bsyjqytPXdSgBfP/openapi.json