Duolingo review report: sentiment, themes, complaints

Created by

NexGen Watch

Actor

App Review Deep Report — Sentiment, Themes & Complaints

A deep report on 200 recent public Google Play reviews of Duolingo: sentiment split, average rating, top themes, ranked complaints, feature requests and a month-by-month trend, plus a readable Markdown brief. Swap in any App Store id or Google Play package.

Try for free

App Review Deep Report — Sentiment, Themes & Complaintsnexgenwatch/app-review-deep-report

Report id

App id

Store

Country

+19 fields

Input

App ID(required):com.duolingo

Store(required):google_play

Maximum reviews:200

Output fields

Report id

App id

Store

Country

Review count

Data start

Data end

Sentiment positive pct

Sentiment neutral pct

Sentiment negative pct

Average sentiment score

Average rating

Themes

Complaint ranking

Feature requests

Trend

Developer response coverage pct

Report markdown

Report kv key

Method

Model

Generated at

Partial

How it works

Sign up on Apify or log in

The App Review Deep Report — Sentiment, Themes & Complaints Actor is ready to run with the inputs already set for "Duolingo review report: sentiment, themes, complaints". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Duolingo review report: sentiment, themes, complaints" task

The App Review Deep Report — Sentiment, Themes & Complaints Actor will start running based on the input automatically. You can also change all the input fields, like app id, store, and more, to match your specific use case.

Receive the "Duolingo review report: sentiment, themes, complaints" 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 report id, app id, store, 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 "Duolingo review report: sentiment, themes, complaints" task via API.