App Store Reviews Scraper: Full Review History

Extract Apple App Store reviews for any iOS app in any country: star rating, title, review text, date, edited flag and reviewer nickname. Unlike RSS-based scrapers, it is not capped at 500 reviews: get an app's full review history. Export to JSON, CSV or Excel, or call it from your code, Make, Zapier, n8n, or an AI agent via MCP.

What data can you get?

Field	Example
appName	Spotify: Music and Podcasts
appId	324684580
developer	Spotify
country	gb
rating	2
title	Limited songs to listen to
text	I think that is dumb to limit the songs that non premium members can listen to…
date	2026-09-27T14:09:11Z
isEdited	false
reviewerName	Songs limited (can be turned off)
reviewId	14599684269

Why this scraper

	This Actor	Typical RSS-based scrapers
Reviews per app per country	Full history (tested past 1,200; limited only by Max reviews)	500 max
Input	App Store URL, numeric id or bundle id	Usually id only
Many apps × many countries in one run	Yes	Often one
New reviews only (monitoring)	Since date	No
App not sold in a country	Skipped and named in the run status; the run keeps going	Often crashes the run
Hit a limit or a block	Says so in the run status; never silently short	Often returns fewer items without saying why

How much does it cost?

Pay only for reviews delivered: $0.25 per 1,000 reviews plus $0.003 per run. Example: the last 1,000 US reviews of one app ≈ $0.25. A daily monitoring run that finds 30 new reviews ≈ $0.01. Apify's free plan credits cover a first test.

Set Max reviews per app to cap what you spend; the run also stops cleanly at the maximum total charge you set for a run.

How to use it

1. Add one or more apps: paste App Store URLs, numeric ids (324684580) or bundle ids (com.spotify.client).
2. Pick countries (us, gb, de...). Reviews are per country.
3. Set Max reviews per app and country, and optionally Sort by and Since date.
4. Run, then download the dataset in the format you need.

Monitoring: schedule a daily run with Sort by = Most recent and Since date = yesterday to get only new reviews.

API: POST https://api.apify.com/v2/acts/tidyscrape~app-store-reviews-scraper/run-sync-get-dataset-items with your input as JSON, for example:

{ "apps": ["com.spotify.client"], "countries": ["us", "gb"], "maxReviewsPerApp": 500, "sort": "recent" }

AI agents: available through the Apify MCP server. Input and output fields are fully described.

Use cases

• Product and UX research: mine complaints and feature requests from 1-star and 2-star reviews.
• Competitor tracking: compare how users rate rival apps across countries.
• Sentiment and topic analysis: feed full review history into an LLM or BI tool.
• Review monitoring and alerts: daily new reviews into Slack, a sheet or a ticketing tool.

FAQ

Is it legal to scrape App Store reviews? This Actor only collects reviews that Apple shows publicly on the App Store website, without logging in. Reviews include the reviewer's chosen nickname, which can be personal data; turn off Include reviewer nicknames if you do not need it. You are responsible for using the data lawfully (e.g. GDPR/CCPA). Not for FCRA purposes. This Actor is not affiliated with or endorsed by Apple.

Why do I get different reviews per country? The App Store keeps separate reviews per country storefront. Add every country you care about.

Does it include the app version or developer replies? Not yet: Apple's web App Store does not expose them for reviews. Open an Issue if you need them.

How fresh is the data? Collected live from the App Store on every run.

Something broke or a field is missing? Open an Issue. We usually respond within a day.

Changelog

• 2026-09-28: first release.