Score the readability of Wikipedia articles

Created by

Ed Rayyis

Actor

Readability Analyzer: Flesch, Fog, SMOG for pages and text

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.

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Readability Analyzer: Flesch, Fog, SMOG for pages and textexamsens.ai/readability-analyzer

Text or URL

Scored

Flesch reading ease

Flesch Kincaid grade

+8 fields

Input

Page URLs

url:https://en.wikipedia.org/wiki/Readability+2

Reading speed (words per minute):200

Output fields

Text or URL

Scored

Flesch reading ease

Flesch Kincaid grade

Gunning fog

SMOG

Coleman Liau

ARI

Words

Sentences

Reading minutes

Error

How it works

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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 and you'll land in Apify Console with a copy of this exact task.

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 and reading speed (words per minute), to match your specific use case.

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.

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.