App Store & Google Play Reviews Scraper
Pricing
from $0.10 / 1,000 reviews
App Store & Google Play Reviews Scraper
Scrape user reviews from the Apple App Store and Google Play in one run: ratings, text, version, country, votes and developer replies in a single unified format.
Pricing
from $0.10 / 1,000 reviews
Rating
0.0
(0)
Developer
Ilia Muravev
Maintained by CommunityActor stats
0
Bookmarked
1
Total users
0
Monthly active users
a minute ago
Last modified
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Get user reviews from both app stores in one run and one format. Paste App Store URLs/IDs and Google Play package names, pick countries, and download ratings, review text, version, helpful votes and developer replies as JSON, CSV or Excel — or pull them via API into your own tools.
What you get
| Field | Description |
|---|---|
platform | apple or google |
appId, appName, appUrl | App identifier, resolved name and store page |
country, language | Storefront country; language for Google Play |
reviewId, author, rating, title, text, date, version | The review itself |
helpfulVotes | Upvotes ("helpful") |
developerReply | { date, text } when the developer answered (Google Play) |
url | Google Play: app page with the review highlighted; App Store: the app's "See all reviews" page (Apple has no per-review links) |
Input
- Apps — any mix of
https://apps.apple.com/us/app/…/id310633997,310633997,https://play.google.com/store/apps/details?id=com.whatsapp,com.whatsapp. - Countries — storefronts to read, e.g.
us, gb, de. Every app is fetched for every country (an App Store URL that contains a country is read for that country only). - Max reviews per app and country, Sort (newest / most helpful), Language (Google Play).
Limits and notes
- Apple's public review feed returns at most 500 most recent reviews per country. Google Play has no hard cap; large pulls simply take longer.
- No login, no proxies, no cookies — public endpoints only.
- Reviews are public data; the Actor stores nothing beyond the dataset of your run.
Pricing
Pay per review, nothing else — you only pay for what lands in the dataset. Runs that return zero reviews cost nothing.
Typical uses
App-store review monitoring for ASO and support teams, competitor analysis, feeding reviews into an LLM for sentiment/feature-request extraction, dashboards in Sheets/Looker via the Apify API or integrations (Zapier, Make, n8n).
