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.

For detailed inputs, output fields, API examples, MCP prompts, pricing notes, and limitations, see the Apple App Store Scraper API documentation by Crawloop.

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)