# Score the readability of Wikipedia articles

**Use case:** 

Scores three Wikipedia articles for readability: Flesch reading ease, Flesch Kincaid grade, Gunning fog, SMOG, Coleman Liau and ARI, with word and sentence counts, reading time, the longest sentences and the hardest words. Swap in your own URLs or paste text.

## Input

```json
{
  "urls": [
    {
      "url": "https://en.wikipedia.org/wiki/Readability"
    },
    {
      "url": "https://en.wikipedia.org/wiki/Plain_language"
    },
    {
      "url": "https://en.wikipedia.org/wiki/Flesch%E2%80%93Kincaid_readability_tests"
    }
  ],
  "wordsPerMinute": 200,
  "topItems": 5,
  "includeText": false,
  "maxConcurrency": 5,
  "timeoutSecs": 30
}
```

## Output

```json
{
  "id": {
    "label": "Text or URL",
    "format": "text"
  },
  "ok": {
    "label": "Scored",
    "format": "boolean"
  },
  "fleschReadingEase": {
    "label": "Flesch reading ease",
    "format": "number"
  },
  "fleschKincaidGrade": {
    "label": "Flesch Kincaid grade",
    "format": "number"
  },
  "gunningFog": {
    "label": "Gunning fog",
    "format": "number"
  },
  "smog": {
    "label": "SMOG",
    "format": "number"
  },
  "colemanLiau": {
    "label": "Coleman Liau",
    "format": "number"
  },
  "automatedReadabilityIndex": {
    "label": "ARI",
    "format": "number"
  },
  "words": {
    "label": "Words",
    "format": "number"
  },
  "sentences": {
    "label": "Sentences",
    "format": "number"
  },
  "readingTimeMinutes": {
    "label": "Reading minutes",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Readability Analyzer: Flesch, Fog, SMOG for pages and text Actor is ready to run with the inputs already set for "Score the readability of Wikipedia articles". [Sign up or log in](https://console.apify.com/create-task-from-example/XkgkPlg3WkidZXOuY) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Score the readability of Wikipedia articles" task

The Readability Analyzer: Flesch, Fog, SMOG for pages and text Actor will start running based on the input automatically. You can also change all the input fields, like page urls, reading speed (words per minute), and more, to match your specific use case.

### 3. Receive the "Score the readability of Wikipedia articles" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as text or url, scored, flesch reading ease, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Score the readability of Wikipedia articles" task via API](https://apify.com/examsens.ai/readability-analyzer.md).

## About this Actor

This example demonstrates how to use [Readability Analyzer: Flesch, Fog, SMOG for pages and text](https://apify.com/examsens.ai/readability-analyzer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/examsens.ai/readability-analyzer.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/examsens.ai/readability-analyzer.md

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`).