Pricing

from $1.00 / 1,000 review extracteds

App Store & Google Play Review Scraper

Instantly extract app reviews, star ratings, and feedback from iOS and Android stores to power sentiment analysis and product research.

Pricing

from $1.00 / 1,000 review extracteds

Rating

0.0

(0)

Developer

Andok

Actor stats

Bookmarked

Total users

Monthly active users

19 days ago

Last modified

App Store & Google Play Reviews Scraper

Monitor app reviews across both Apple App Store and Google Play to catch feature requests, sentiment shifts, and quality issues before they snowball. Extract star ratings, review text, reviewer names, and version info for any app — then schedule it weekly to build a continuous feedback loop. Works with any app on either store using the bundle ID or numerical app ID.

Features

Dual-store support — scrape reviews from both Google Play and Apple App Store in one actor
Rich review data — extracts rating, title, full text, reviewer name, date, and app version
Country targeting — filter reviews by country code to analyze regional sentiment
Bulk extraction — fetch up to 5,000 reviews per run for deep analysis
No browser needed — uses underlying store APIs for fast, reliable extraction
Pay-per-result pricing — only pay for reviews extracted, with charge-limit safety built in

Input

Field	Type	Required	Default	Description
`appId`	`string`	Yes	—	App bundle ID (e.g. `com.whatsapp`) or numerical ID (e.g. `310633997` for iOS)
`store`	`string`	Yes	`google`	Which store to scrape: `google` or `apple`
`country`	`string`	No	`us`	Two-letter country code for regional review filtering (e.g. `us`, `gb`, `de`)
`maxReviews`	`integer`	No	`100`	Maximum number of reviews to fetch (1-5000)

Input Example

{
  "appId": "com.whatsapp",
  "store": "google",
  "country": "us",
  "maxReviews": 200
}

Output

Each dataset item represents one user review. Key fields:

appId (string) — the app identifier that was queried
store (string) — google or apple
id (string) — unique review identifier
userName (string) — reviewer display name
title (string) — review title (may be null on Google Play)
text (string) — full review text
score (number) — star rating (1-5)
date (string) — review date
version (string) — app version the review was written for

Output Example

{
  "appId": "com.whatsapp",
  "store": "google",
  "id": "gp:AOqpTOH8x7...",
  "userName": "Sarah K.",
  "title": null,
  "text": "Latest update broke voice messages. They cut off after 30 seconds. Please fix!",
  "score": 2,
  "date": "2025-01-18T00:00:00.000Z",
  "version": "2.25.1.8"
}

Pricing

Event	Cost
Review Extracted	Pay-per-event (see actor pricing page)

Use Cases

Product feedback analysis — mine reviews for feature requests, complaints, and praise patterns
Sentiment monitoring — schedule weekly runs to track rating trends after app updates
Competitive benchmarking — compare review sentiment across competing apps in your category
QA regression detection — catch version-specific bugs reported by users after releases
Market research — analyze user needs and pain points before entering a new app category
AI-powered insights — feed review data into LLMs for automated sentiment classification and summarization

Actor	What it adds
Google News Scraper	Monitor news coverage about your app alongside user reviews
TikTok Comments Extractor	Extract user sentiment from TikTok video comments
Reddit Scraper	Track app-related discussions and feedback on Reddit communities

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