# Readability Audit (`conserving_mastodon/readability-audit`) Actor

Fetch a page, isolate its main text, and score it: Flesch Reading Ease, Flesch-Kincaid grade, Gunning Fog, sentence and word statistics, complex-word density, and the specific long sentences to fix. Deterministic, no model. Charged only on completed audits.

- **URL**: https://apify.com/conserving\_mastodon/readability-audit.md
- **Developed by:** [Chris Arsenault](https://apify.com/conserving_mastodon) (community)
- **Categories:** SEO tools, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$250.00 / 1,000 completed audits

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?

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

## Readability Audit

**How hard is this page to read — and exactly which sentences to fix?** Point it at a URL and get the standard readability scores computed on the page's actual main text (article or main content isolated, navigation and boilerplate stripped): Flesch Reading Ease, Flesch-Kincaid grade level, Gunning Fog, and the word and sentence statistics behind them — plus the specific over-long sentences to shorten.

### What you get

```json
{
  "url": "https://example.com/post/",
  "flesch_reading_ease": 59.7,
  "reading_band": "fairly difficult (10th-12th grade)",
  "flesch_kincaid_grade": 8.4,
  "gunning_fog": 11.2,
  "words": 1102,
  "avg_words_per_sentence": 18.3,
  "complex_word_pct": 12.4,
  "long_sentence_count": 6,
  "fixes": ["6 sentence(s) exceed 25 words; break them up."]
}
```

Plus a row for each over-long sentence, so editing is a checklist, not a re-read.

### Use cases

- **Content teams**: enforce a house readability standard across a blog; run before publishing.
- **Agents writing or editing copy**: score a draft's live URL and iterate against a target grade.
- **Agencies**: a fast, objective readability line item for content audits.

### Honesty notes

- Deterministic and model-free: the same scores every reputable readability library computes, on the same formulas, so results are reproducible and explainable.
- Syllable counting is the standard heuristic (accurate in aggregate, not per exotic word).
- Pages with too little readable text (product pages, JS-rendered apps) are skipped **without charge**; billing is per completed score.

Built by 1450 Enterprises.

# Actor input Schema

## `url` (type: `string`):

The page whose main text is scored for readability.

## `minWords` (type: `integer`):

Skip (and do not charge) pages with less readable text than this, which are usually not articles.

## Actor input object example

```json
{
  "url": "https://en.wikipedia.org/wiki/Readability",
  "minWords": 100
}
```

# Actor output Schema

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

Summary: Flesch Reading Ease and band, Flesch-Kincaid grade, Gunning Fog, word/sentence stats, complex-word %, fixes. Then one row per over-long sentence.

# 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 = {
    "url": "https://en.wikipedia.org/wiki/Readability"
};

// Run the Actor and wait for it to finish
const run = await client.actor("conserving_mastodon/readability-audit").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 = { "url": "https://en.wikipedia.org/wiki/Readability" }

# Run the Actor and wait for it to finish
run = client.actor("conserving_mastodon/readability-audit").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 '{
  "url": "https://en.wikipedia.org/wiki/Readability"
}' |
apify call conserving_mastodon/readability-audit --silent --output-dataset

```

## MCP server setup

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

```

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/9kv06OmYaEpZbZZbi/builds/kekp5CSG8hGKlmKrc/openapi.json