# Webpage Readability Analyzer — Flesch Score & Grade Level (`ninhothedev/readability-analyzer`) Actor $0.5/1K 🔥 Readability analyzer! Reading time, word count, Flesch score & grade level for any URL. No key. JSON, CSV, Excel or API in seconds. Score content for SEO & editorial ⚡ - **URL**: https://apify.com/ninhothedev/readability-analyzer.md - **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community) - **Categories:** SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results 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/platform/actors/running/actors-in-store#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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use 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 ## Webpage Readability Analyzer 📖 **Measure how readable any webpage is — in seconds, from just a URL.** Get word count, estimated reading time, Flesch Reading Ease, Flesch-Kincaid grade level, and a plain-English difficulty label for any article, blog post, product page, or documentation page. No API key. No login. No configuration. Paste a list of URLs, hit start, and get a clean table of readability scores you can sort, filter, and export to CSV, Excel, JSON, or Google Sheets. --- ### Why readability matters Readability is one of the strongest predictors of whether people actually read — and understand — your content. Google, editors, and accessibility guidelines all reward writing that is clear and easy to follow. This Actor turns that abstract goal into hard numbers you can act on. - **Flesch Reading Ease** (0–100): higher is easier. 60–70 is "standard" — comfortable for most adults. - **Flesch-Kincaid Grade**: the US school grade level needed to understand the text (e.g. 8.0 = 8th grade). - **Reading time**: estimated minutes at 200 words per minute. - **Difficulty label**: Very Easy → Very Confusing, at a glance. --- ### What you get per URL | Field | Description | |-------|-------------| | `url` | The analyzed page | | `title` | Page `` | | `word_count` | Words in the main article text | | `sentence_count` | Sentences detected | | `syllable_count` | Total syllables (vowel-group heuristic) | | `avg_words_per_sentence` | Sentence length signal | | `avg_syllables_per_word` | Word complexity signal | | `flesch_reading_ease` | 0–100, higher = easier | | `flesch_kincaid_grade` | US grade level | | `reading_time_min` | Minutes at 200 wpm | | `difficulty` | Very Easy … Very Confusing | | `source` | Always `readability` | | `scraped_at` | UTC timestamp | --- ### Input ```json { "mode": "analyze", "urls": [ "https://en.wikipedia.org/wiki/Readability", "https://www.bbc.com/news" ], "maxItems": 100 } ```` - **mode** — `analyze` (URLs → readability metrics). - **urls** — one or more webpage URLs. - **maxItems** — cap on URLs per run (default 100, max 1000). *** ### Example output ```json { "url": "https://en.wikipedia.org/wiki/Readability", "title": "Readability - Wikipedia", "word_count": 8149, "sentence_count": 1068, "avg_words_per_sentence": 7.63, "avg_syllables_per_word": 1.59, "flesch_reading_ease": 64.9, "flesch_kincaid_grade": 6.1, "reading_time_min": 41, "difficulty": "Standard", "source": "readability", "scraped_at": "2026-07-24T12:00:00Z" } ``` *** ### Use cases - **Content QA** — flag pages that are too dense before they ship. - **SEO** — align content complexity with search intent and audience. - **Editorial** — enforce a house readability standard across writers. - **Accessibility** — surface pages that exceed a target grade level. *** ### Pricing Runs on a tiny 512 MB actor and only fetches lightweight HTML, so a typical run costs about **$0.5 per 1,000 URLs** in platform usage — no third-party API fees, ever. *** ### Related Actors by ninhothedev - [Smart Article Extractor](https://apify.com/ninhothedev/smart-article-extractor) - [SEO On-Page Auditor](https://apify.com/ninhothedev/seo-onpage-auditor) - [Website Content Crawler](https://apify.com/ninhothedev/website-content-crawler) - [HTML to Markdown Converter](https://apify.com/ninhothedev/html-to-markdown-converter) *** ### FAQ **Does it need an API key?** No. Just provide URLs. **What language does it support?** The formulas are tuned for English; other languages still return counts and reading time. **How is the main text extracted?** Via `trafilatura`, with a `<p>`-tag fallback, so navigation and boilerplate are stripped out. # Actor input Schema ## `mode` (type: `string`): What the Actor should do. 'analyze' fetches each URL, extracts the main text and computes readability metrics. ## `urls` (type: `array`): List of webpage URLs to analyze. Each URL is fetched, its main article text is extracted, and reading-ease metrics are computed. One dataset item is produced per URL. ## `maxItems` (type: `integer`): Maximum number of URLs to analyze in a single run. Extra URLs beyond this cap are ignored. ## Actor input object example ```json { "mode": "analyze", "urls": [ "https://en.wikipedia.org/wiki/Readability", "https://www.bbc.com/news" ], "maxItems": 100 } ``` # 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 = { "urls": [ "https://en.wikipedia.org/wiki/Readability", "https://www.bbc.com/news" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ninhothedev/readability-analyzer").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 = { "urls": [ "https://en.wikipedia.org/wiki/Readability", "https://www.bbc.com/news", ] } # Run the Actor and wait for it to finish run = client.actor("ninhothedev/readability-analyzer").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://en.wikipedia.org/wiki/Readability", "https://www.bbc.com/news" ] }' | apify call ninhothedev/readability-analyzer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/readability-analyzer", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Webpage Readability Analyzer — Flesch Score & Grade Level", "description": "$0.5/1K 🔥 Readability analyzer! Reading time, word count, Flesch score & grade level for any URL. No key. JSON, CSV, Excel or API in seconds. Score content for SEO & editorial ⚡", "version": "0.1", "x-build-id": "MhKC1LRtzBUHkBnKz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~readability-analyzer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-readability-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ninhothedev~readability-analyzer/runs": { "post": { "operationId": "runs-sync-ninhothedev-readability-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ninhothedev~readability-analyzer/run-sync": { "post": { "operationId": "run-sync-ninhothedev-readability-analyzer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls" ], "properties": { "mode": { "title": "Mode", "enum": [ "analyze" ], "type": "string", "description": "What the Actor should do. 'analyze' fetches each URL, extracts the main text and computes readability metrics.", "default": "analyze" }, "urls": { "title": "URLs", "type": "array", "description": "List of webpage URLs to analyze. Each URL is fetched, its main article text is extracted, and reading-ease metrics are computed. One dataset item is produced per URL.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of URLs to analyze in a single run. Extra URLs beyond this cap are ignored.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```