App Store & Google Play Reviews — Multi-Country
Pricing
from $2.00 / 1,000 results
App Store & Google Play Reviews — Multi-Country
Reviews and metadata from BOTH stores in one run. Sweeps multiple App Store countries, because the storefronts that serve reviews differ per app — single-country scrapers return zero for many apps.
Pricing
from $2.00 / 1,000 results
Rating
0.0
(0)
Developer
TidyNest Studio
Maintained by CommunityActor stats
0
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2
Total users
1
Monthly active users
2 days ago
Last modified
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Get reviews and app metadata from both mobile stores in a single run.
Why this actor exists
Apple's public review feed serves up to 500 reviews per storefront (10 pages of 50, no overlap
- measured, page 11 errors out). Most scrapers read the first page of a single country and call it a day.
The problem: the storefronts that actually serve reviews differ from app to app.
| App | Storefronts that returned reviews |
|---|---|
us, jp, au, mx | |
| Todoist | de, es, ru — and zero from us |
And a storefront that works today can serve an empty feed tomorrow: measured 20 minutes apart, one show's US feed went from 49 reviews to zero while GB and DE were unaffected (HTTP 200 both times). Sweeping storefronts is what makes the output reproducible.
A US-only scraper returns nothing for Todoist. This actor sweeps a list of storefronts and de-duplicates by review ID, so you get what actually exists instead of what one country happens to expose.
What you get
Reviews — rating, title, text, author, app version, date, publisher reply (Google Play), country. Metadata (optional, one row per app) — average rating, rating count, current version, publisher, price, release date.
Input
| Field | Meaning |
|---|---|
stores | app_store, google_play, or both |
appStoreIds | numeric Apple IDs (e.g. 572688855) |
googlePlayIds | package names (e.g. com.todoist) |
searchTerm | resolve the top App Store match by name instead of passing an ID |
countries | storefronts to sweep — leave empty for a 20-country default |
maxReviewsPerApp | upper bound per app and per store |
sort | Google Play ordering: newest / most relevant / rating |
Typical uses
- Track what users say after each release (
app_versionis on every review) - Watch competitors' ratings and complaints
- Feed review text into sentiment or topic analysis
- Measure how support replies land (Google Play replies are included)
Reliability
This actor uses official and public endpoints only — Apple's RSS review feed, the iTunes Search/Lookup API, and Google Play's own web data endpoint. No anti-bot circumvention, no residential proxies. That is a deliberate design choice: scrapers built on hostile targets break constantly, and it shows in their ratings.