Apple App Store Scraper — Apps, Games, Reviews, ASO Ranks & Monitor

Unofficial tool for publicly accessible Apple App Store / iTunes data. Apple, App Store, iTunes, and related trademarks belong to their respective owners. Not affiliated with, sponsored by, or endorsed by Apple Inc. Provided for informational use only; users must comply with applicable terms and laws.

Apple App Store Scraper ◄── you are here

Actor	Platform
Apple App Store Scraper ◄── you are here	iOS / App Store
Google Play Store Scraper	Android / Google Play
App Stores Scraper — Apple & Google Play ASO	Apple + Google Play (combo)

Apple App Store scraper for Apify — pull app & game metadata, keyword search, ASO keyword ranks, developer catalogs, customer reviews, and top charts. Optional HTML enrichment adds App Privacy labels, in-app purchases, and rating histograms. Multi-country storefronts (including an all-majors preset). No App Store Connect login.

Use it for competitor research, ASO rank tracking, review mining, and scheduled release / price / rating monitors. For Android / Google Play, use Google Play Store Scraper. For both stores in one run, use App Stores Scraper — Apple App Store & Google Play ASO.

When to use this Actor

• ASO: track where your app ranks for keywords across countries
• Competitor cards: version, price, ratings, privacy, IAP
• Review intelligence (multi-storefront RSS window)
• Top Free / Paid / Grossing charts by category (e.g. Games)
• Publisher portfolio dumps (developer_apps)
• Cron monitors for version, price, rating, privacy, IAP, and SERP moves

Modes

Mode	What it does
search	Keyword search → app rows
app_details	Lookup by app ID / Store URL (+ optional HTML enrich)
developer_apps	All apps for a developer ID
reviews	Customer reviews via RSS (~500 max per country per sort)
top_charts	Top Free / Paid / Grossing / New charts
keyword_ranks	SERP position of tracked apps × keywords × countries + KV history
monitor	Fingerprint deltas (version / price / rating / privacy / IAP)

Key features

• iTunes Lookup / Search / RSS — fast JSON, no browser for core modes
• HTML enrichment — enrichFromHtml for subtitle, histogram, privacy nutrition labels, IAP
• Keyword ranks + history — Apple search top-200; KV snapshots; optional RANK_CHANGE events
• Parallel workers — concurrency across countries / keywords / apps
• Multi-country — countries: ["all"] or useAllCountries (~44 majors)
• Typed dataset rows — app, review, chart_entry, keyword_rank, monitor_event

Input parameters

Parameter	Description
mode	See modes table above
startUrls	App or developer page URLs
appIds / developerIds	Numeric Store IDs
searchTerm / searchTerms	Keywords (search / keyword_ranks)
country / countries	Storefront(s); all = major preset
useAllCountries	Same as countries: ["all"]
enrichFromHtml	Privacy / IAP / histogram / subtitle
concurrency	Parallel workers (default 6)
rankHistoryLimit	KV snapshots per keyword×country×app
emitRankChanges	Emit RANK_CHANGE monitor events
reviewSort	mostRecent or mostHelpful
maxReviewsPerApp	Cap ≤ 500 per country
chartType / chartLimit / genreId	Charts (6014 = Games)
enrichChartDetails	Re-lookup chart apps for full metadata
maxItems	Dataset row cap (0 = unlimited)
maxRequestsPerSecond	Client rate limit (default 8)
monitorStoreName	KV store for fingerprints + rank history
monitorBaselineOnly	First run: seed state only
resetMonitorState	Clear KV state before run
proxyConfiguration	Optional; useful with HTML enrichment

Example — app details + HTML enrich

{
  "mode": "app_details",
  "appIds": ["310633997", "431946152"],
  "countries": ["us"],
  "enrichFromHtml": true,
  "maxItems": 10
}

Example — ASO keyword ranks

{
  "mode": "keyword_ranks",
  "appIds": ["310633997", "544007664"],
  "searchTerms": ["whatsapp", "messenger", "chat app"],
  "countries": ["us", "gb", "de"],
  "concurrency": 8,
  "rankHistoryLimit": 30,
  "emitRankChanges": true,
  "monitorStoreName": "apple-aso-ranks",
  "maxItems": 100
}

Example — Top Free Games

{
  "mode": "top_charts",
  "chartType": "top_free",
  "country": "us",
  "genreId": 6014,
  "chartLimit": 100,
  "enrichChartDetails": true,
  "maxItems": 100
}

Example — reviews (multi-country)

{
  "mode": "reviews",
  "appIds": ["310633997"],
  "countries": ["us", "gb", "de", "jp"],
  "reviewSort": "mostRecent",
  "maxReviewsPerApp": 100,
  "maxItems": 400
}

Example — monitor (baseline then schedule)

{
  "mode": "monitor",
  "appIds": ["310633997", "284882215"],
  "countries": ["us"],
  "monitorStoreName": "apple-app-store-monitor-aso",
  "monitorBaselineOnly": true,
  "enrichFromHtml": true,
  "maxItems": 100
}

After the baseline run, set monitorBaselineOnly to false (or omit it) so later runs push only change events.

Output

Field	Description
itemType	app, review, chart_entry, keyword_rank, monitor_event
appId	Numeric track ID
title / subtitle	App title; subtitle needs HTML enrich
keyword	Search keyword (keyword_rank / RANK_CHANGE)
rank / previousRank / rankDelta	Chart or SERP position
found	App appeared in Apple search top-200
developerName	Publisher
price / currency	Storefront price
rating / ratingCount	Aggregate ratings
ratingHistogram	1–5★ counts (HTML enrich)
privacyNutritionLabels	App Privacy categories (HTML enrich)
inAppPurchases	IAP name/price pairs (HTML enrich)
version / releaseNotes	Current version metadata
country	Storefront
chartType	Chart feed when applicable
eventType	VERSION_UPDATE, PRICE_CHANGE, RATING_CHANGE, PRIVACY_CHANGE, IAP_CHANGE, RANK_CHANGE, NEW_APP
scrapedAt	UTC collection time

Use cases

Use case	What you get
ASO keyword tracking	SERP ranks for apps × keywords × countries + KV history
Competitor research	Version, price, ratings, privacy labels, IAP
Review intelligence	Multi-storefront RSS reviews with sort and caps
Top charts	Top Free / Paid / Grossing / New by genre
Listing monitors	Version, price, rating, privacy, IAP, RANK_CHANGE
AI / MCP workflows	Run via Apify API, clients, or MCP and summarize App Store data

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/apple-app-store-scraper').call({
  mode: 'app_details',
  appIds: ['310633997'],
  countries: ['us'],
  enrichFromHtml: true,
  maxItems: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/apple-app-store-scraper").call(
    run_input={
        "mode": "keyword_ranks",
        "appIds": ["310633997", "544007664"],
        "searchTerms": ["whatsapp", "messenger", "chat app"],
        "countries": ["us", "gb", "de"],
        "concurrency": 8,
        "monitorStoreName": "apple-aso-ranks",
        "maxItems": 100,
    }
)
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(len(items), items[:3])

cURL

curl "https://api.apify.com/v2/acts/crawloop~apple-app-store-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "reviews",
    "appIds": ["310633997"],
    "countries": ["us", "gb"],
    "reviewSort": "mostRecent",
    "maxReviewsPerApp": 100,
    "maxItems": 200
  }'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/apple-app-store-scraper.

Example prompts:

• "Run Apple App Store Scraper in app_details mode for app ID 310633997 with HTML enrich and return title, rating, privacy labels, and IAP"
• "Scrape App Store reviews for WhatsApp across us and gb, max 100 each, and summarize 1-star themes"
• "Chain Apple App Store Scraper then Google Play Store Scraper for the same product and compare ratings"

Suite next step

Need Android / Google Play? Use Google Play Store Scraper. Want both stores in one run with appPairs? Use App Stores Scraper — Apple App Store & Google Play ASO.

Limitations

• Reviews RSS is a recent window, not full history (~500 per country per sort). Widen with more countries.
• Keyword ranks / search stop at Apple’s top 200 per term per country (found: false if outside).
• Genre charts often return up to ~100 positions.
• DSA street address is best-effort (providerAddress); often absent from public page JSON.

Workflow tips

1. Seed ASO with keyword_ranks + a dedicated monitorStoreName.
2. Schedule daily keyword_ranks (without resetMonitorState) to build history and RANK_CHANGE events.
3. Pair with monitor + enrichFromHtml for release / privacy / IAP alerts.
4. Use reviews + multi-country for sentiment around a version bump.

Related Actors

Actor	What it covers
Apple App Store Scraper ◄── you are here	iOS apps, games, reviews, ASO ranks, charts, monitor
Google Play Store Scraper	Android apps, reviews, ASO ranks, similar apps, monitor
App Stores Scraper — Apple App Store & Google Play ASO	Both stores in one run (combo ASO)