Text Metrics (counts, readability, frequency, warnings)
Pricing
from $10.00 / 1,000 text analysis completeds
Deterministic text quality metrics: word/sentence counts, Flesch readability, top-N word frequency, and style warnings. Pure local computation, no external APIs, no secrets.
You can access the Text Metrics (counts, readability, frequency, warnings) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "text": "The quick brown fox jumps over the lazy dog. Sample text for automated quality checks — replace with your own." }9
10# Run the Actor and wait for it to finish11run = client.actor("draeg82/text-metrics-probe").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Text Metrics (counts, readability, frequency, warnings) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: