App Release Reaction Monitor — Reviews & Sentiment
Pricing
from $50.00 / 1,000 release analyzeds
Correlate app releases with dated, versioned review datasets. Compare ratings and complaint rates before/after each release and return regression, improvement, and evidence-ready issue signals.
You can access the App Release Reaction Monitor — Reviews & Sentiment 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 = {9 "appName": "Acme Mobile",10 "releases": [{11 "version": "2.0.0",12 "releaseDate": "2026-08-01",13 "releaseNotes": "New sync engine and redesigned login.",14 }],15 "reviews": [16 {17 "text": "Stable and fast.",18 "rating": 5,19 "date": "2026-07-28",20 "version": "1.9.0",21 },22 {23 "text": "Crashes after the new update.",24 "rating": 1,25 "date": "2026-08-03",26 "version": "2.0.0",27 },28 ],29}30
31# Run the Actor and wait for it to finish32run = client.actor("egeusta/app-release-customer-reaction-monitor").call(run_input=run_input)33
34# Fetch and print Actor results from the run's dataset (if there are any)35print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")36for item in client.dataset(run.default_dataset_id).iterate_items():37 print(item)38
39# 📚 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 App Release Reaction Monitor — Reviews & Sentiment API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: