🍎 Apple App Store Reviews Scraper — Ratings, Text & Dates

Apple's owner-only API won't show you a competitor's reviews. App developers, agencies, and PMs pay to monitor the public App Store review feed for any app — theirs or the competition's.

What you get

• Public Apple App Store review entries: rating, title, review text, author, date, and app version
• Developer responses and response dates where present
• A normalized 14-field record per review with source URL and collection timestamp
• Bounded retries with explicit block / gone outcomes — you always know if zero means empty or blocked
• Optional watch mode that emits only new reviews and status changes on later runs

Use cases by team

• Product managers: Track what users say about each release and catch regressions the moment reviews turn.
• Competitive / market intel: Monitor rival apps' reviews you have no API access to.
• Agencies: Stand up a review feed per client app and pipe it into reporting.
• Support / CX: Spot emerging complaints early and route them before they snowball.

Example inputs

Single app

{
  "app_ids": [
    "284882215"
  ],
  "watchMode": false
}

Several apps at once

{
  "app_ids": [
    "284882215",
    "310633997"
  ],
  "country": "us"
}

Monitor for new reviews only

{
  "app_ids": [
    "284882215"
  ],
  "watchMode": true
}

📊 Sample Output

{
  "store": "apple",
  "app_id": "284882215",
  "review_id": "11897234561",
  "title": "Reliable",
  "review_text": "Works every day",
  "rating": 5,
  "author_handle": "appfan_us",
  "review_date": "2026-07-18",
  "version": "500.1",
  "developer_response": null,
  "country": "us",
  "source_url": "https://apps.apple.com/us/app/id284882215",
  "collected_at": "2026-07-21T00:00:00Z"
}

How it works

Give it one or more numeric App Store app IDs. It collects the public review-feed entries for each, with bounded retries and a fresh proxy session per attempt, then normalizes every review into one 14-field schema. It reads only public, logged-out surfaces — no login, no paywall, no access-control defeating.

Pricing

Event	Price (FREE tier)
Actor start (apify-actor-start)	$0.02
Review scraped (review-scraped)	$0.00065
Watch check (watch-check)	$0.05

Flat list prices; Apify applies its automatic FREE→DIAMOND plan discount on top. Worked example: 1,000 reviews = $0.02 start + 1,000 × $0.00065 = $0.67. Blocked or zero-result runs do not intentionally charge; watch runs with no delta charge only the watch check. New to Apify? Start free.

Run it — API, CLI, MCP

API:

curl -X POST "https://api.apify.com/v2/acts/nexgenwatch~ios-app-reviews/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" -d @input.json

CLI:

$apify call nexgenwatch/ios-app-reviews -i @input.json

MCP: expose nexgenwatch/ios-app-reviews through Apify's MCP server, select it as a tool, and pass the same input object.

Related actors — App Intelligence cluster

Actor	What it does
Review Sentiment Analyzer	Turn any review set into themes, complaints, sentiment % and trends.
Google Play Reviews	Scrape public Google Play reviews for any app.
App Rankings Tracker	Track Apple App Store top-chart rankings by country.
ASO Keyword Tracker	Track keyword rankings across App Store & Google Play.

Compliance & honest limits

• Public App Store review surfaces only — no login, CAPTCHA, paywall, or access-control defeating.
• Apple exposes a bounded, recent review window per app; this actor does not reconstruct the full lifetime history.
• A source-confirmed empty result is SUCCEEDED-0: GENUINE_EMPTY; exhausted block retries fail and truncated runs are PARTIAL.

FAQ

Which app ID do I use?

The numeric App Store ID (e.g. 284882215), found in the app's App Store URL.

Can I watch competitor apps?

Yes — that is the core use case. Pass any public app's ID.

Does zero mean blocked?

No. A confirmed-empty feed is GENUINE_EMPTY; only exhausted retries fail, and truncated runs are PARTIAL.

How does watch mode work?

Set watchMode: true. The first run seeds a KV baseline and emits nothing; later runs emit only new reviews and status changes with previous_status.

How far back does it go?

As far as Apple's public feed exposes — a bounded recent window, deterministically sorted.

How is it priced?

$0.02 per run start plus $0.00065 per review scraped; watch checks with no change cost $0.05.

Can I feed this into sentiment analysis?

Yes — pass the output dataset ID straight into the Review Sentiment Analyzer.

Troubleshooting

• No reviews returned? Verify the numeric app ID and that the app has public reviews in the chosen country; GENUINE_EMPTY means the source really was empty.
• Wrong country's reviews? Set country (e.g. us, gb); it defaults to US.
• Watch mode emitting everything? The first run always seeds the baseline and emits zero — deltas start on the second run.
• Run marked PARTIAL? Retries were exhausted mid-collection; re-run to continue from a fresh window.
• Need Android too? Use the Google Play Reviews Scraper — same schema shape.

About

Part of the NexGenData App Intelligence cluster. This is a dedicated fleet-2 actor; it does not disturb any earlier fleet listing. Built by NexGenData. Questions or need a custom feed? Open an issue on the Actor page.