App Store Reviews Scraper: Apple iOS app reviews by country

Get the reviews of any iOS app from the Apple App Store as clean JSON: rating, title, text, app version, date, author and helpful votes. Paste the App Store URL or the numeric app id, pick the countries, and run. Up to 500 recent reviews per app per country, newest or most helpful first.

No login, no API key, no proxies. The data comes from the public review feed Apple publishes per storefront, so it is stable and fast.

Run it with the default input to see it work. It returns the latest US reviews of Spotify.

What you get

One row per review:

field	meaning
app_id, app_name	numeric id and the name in the storefront
country	two-letter storefront code, each country has its own reviews
review_id	Apple's id, stable across runs, use it to detect new reviews
rating	1 to 5 stars
title, text	headline and full review text
version	app version the reviewer had installed
date	ISO 8601 timestamp with the storefront offset
author	public display name
vote_sum, vote_count	helpful votes
url	link to the review

Example row:

{
  "app_id": "324684580",
  "app_name": "Spotify: Music and Podcasts",
  "country": "us",
  "review_id": "12345678901",
  "title": "Great app, one bug",
  "text": "Works well, but the widget stopped updating after the last release.",
  "rating": 4,
  "version": "9.1.80",
  "author": "musicfan_42",
  "date": "2026-10-02T01:07:45-07:00",
  "vote_sum": 3,
  "vote_count": 5,
  "url": "https://itunes.apple.com/us/review?id=324684580&type=Purple%20Software"
}

Input

field	what it does
apps	App Store URLs or numeric ids, one per line
countries	storefront codes such as us, gb, de, nl, jp. Default us
sort	mostrecent (default) or mosthelpful
maxReviewsPerAppPerCountry	cap per app and country, max 500
maxReviews	hard stop across the run, also your budget cap
minRating, maxRating	keep only a star range, for example 1 to 2 for complaints

Minimal input:

{ "apps": ["https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580"], "countries": ["us", "gb", "de"] }

Pricing

Pay per review returned: $0.20 per 1,000 reviews, charged only for rows that land in the dataset after your filters. Apify's free monthly credit covers tens of thousands of reviews, so you can evaluate without paying.

Subscriptions and shared agent access

Scored signals from SEC, FDA, Congress and other official filings. The daily output is hashed and anchored, so past signals cannot be edited. Agents call it over MCP. See the track record

Every score in every report lists the terms it was built from, so you can check the number instead of trusting it.

This Actor is part of DataSignals Lab. It does not feed the signal reports. The plans below cover those and the shared MCP access. All prices are listed on the pricing page:

• Free. Report previews, a weekly signal digest and 50 free MCP calls per month for AI agents.
• Snapshot, $19 one time. The current edition of one report plus 30 days of updates.
• DataSignals Pro, $29 per month or $290 per year. All three reports refreshed monthly, MCP access for AI agents (2000 calls per month fair use), email alerts. Cancel anytime.

Who uses this

• Product managers and support teams tracking complaints per release and per country.
• Competitive intelligence: pull the reviews of three competitors side by side.
• Researchers and NLP teams who need labelled text (the star rating is the label).
• Agencies building review dashboards for app publishers.
• AI agents that answer "what are users complaining about this week" from live data.

Need sentiment, aspect clustering and a competitor gap report instead of raw rows? That is App Store Review Intelligence, which runs on the same source and charges per app analysed.

Limits and honesty

• Apple exposes at most 500 recent reviews per app per country through this feed. For a full history, run it on a schedule and de-duplicate on review_id.
• Only the Apple App Store. For Google Play use Google Play Reviews Scraper.
• Developer replies are not part of this feed.

Integrations

Works with the Apify API, scheduled runs, webhooks, and the Apify MCP server, so Claude, ChatGPT and other agents can call it as a tool. Export to JSON, CSV, Excel or push into Google Sheets.

Support

Issues tab on this page, or support@datasignalslab.com. Built and maintained by DataSignals Lab.