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Compare Duolingo and Babbel User Reviews on Google Play

Extract user reviews for Duolingo and Babbel on Google Play to identify feature gaps and pain points. Returns review text, star ratings, author names, helpful vote counts, and developer replies. Ideal for EdTech competitive research. Adjust packageNames to compare other language learning apps.

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Google Play App Search, Lookup & Reviews Scraper
Google Play App Search, Lookup & Reviews Scrapernimbryxo-studio/google-play-app-search-lookup-and-reviews-scraper
Review ID
App ID
App
Author
+4 fields
Text
Number
Boolean
List
Object

Input

Mode(required):reviews
Package names:com.duolingo+1
Language:en
Max reviews per app:50
Review sort:helpfulness
Max items:100

Output fields

Review ID
App ID
App
Author
Rating
Review
Date
Helpful

How it works

Sign up on Apify or log in

The Google Play App Search, Lookup & Reviews Scraper Actor is ready to run with the inputs already set for "Compare Duolingo and Babbel User Reviews on Google Play". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare Duolingo and Babbel User Reviews on Google Play" task

The Google Play App Search, Lookup & Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like mode, package names, and more, to match your specific use case.

Receive the "Compare Duolingo and Babbel User Reviews on Google Play" 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 review id, app id, app, 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 "Compare Duolingo and Babbel User Reviews on Google Play" task via API.

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Integrate "Compare Duolingo and Babbel User Reviews on Google Play" into your workflow

Connect "Compare Duolingo and Babbel User Reviews on Google Play" with 100+ integrations, or run it via API or MCP.

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Frequently asked questions

Exporting results from the language app reviews task is done through the dataset, which downloads as JSON, CSV, Excel, XML, RSS, or HTML.

Running the language app reviews task respects a maxItems hard cap of 10000, and reviews cap at 50000 per app following pagination limits.

Each review record from the language app reviews task includes reviewId, appId, appTitle, author, rating, text, date, and helpfulCount.

Modifying packageNames and language inputs inside the language app reviews task lets you target different apps and review buckets.

Automation of the language app reviews task works via Apify Schedules, the Apify API, or integrations like Zapier, Make, and n8n.

Pricing for the language app reviews task includes actor start events, platform compute usage, and a result fee up to $0.99 per 1,000 results.