Apple App Store Scraper

What does Apple App Store Scraper do?

Apple App Store Scraper extracts comprehensive public mobile application data, customer reviews, rating statistics, and top chart rankings from the official Apple App Store. Designed for high-throughput market analysis, competitive intelligence, and automated product tracking, this Actor delivers structured, analysis-ready datasets without requiring personal login credentials, private access tokens, or developer account subscriptions.

Whether you need to monitor competitor pricing and version release notes, evaluate user feedback across international storefronts, track categorical shifts, or feed high-volume sentiment models, Apple App Store Scraper provides immediate access to over 30 distinct app metadata fields and granular user review entries.

Key capabilities at a glance

• Four specialized scraping modes: Discover new apps through keyword search, look up target applications by direct URL or numeric ID, extract customer review feeds with star ratings, or track category leaders via App Store top charts.
• Over 30 comprehensive metadata fields: Collect technical specifications, developer details, ratings distribution, release history, device compatibility, file sizes, pricing, and localized category classifications.
• Full international coverage: Query any regional App Store storefront across more than 150 supported territories using standard two-letter country codes (such as US, GB, DE, FR, JP, CA, and AU).
• In-depth customer review extraction: Gather customer review titles, full written feedback, star ratings, author profile links, referenced app versions, dates, and helpfulness vote tallies (up to 500 reviews per app per region).
• Flexible output formats: Seamlessly export your collected records to JSON, CSV, Excel (XLSX), XML, or HTML tables, or stream records directly into downstream business applications using the Apify API and webhooks.
• Predictable pay-per-event pricing: Pay only for the specific apps and reviews you scrape, with no recurring monthly software subscriptions and automated volume discounts.

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Who is it for?

Apple App Store Scraper is built for growth-focused professionals, analysts, and engineering teams that rely on accurate, timely mobile intelligence:

• 📱 Mobile App Developers & Product Managers: Monitor competitor release cycles, analyze feature adoption through update release notes, benchmark user ratings against category averages, and track customer sentiment changes following major version deployments.
• 📊 Market Researchers & Industry Analysts: Map mobile app market landscapes across global regions, track developer portfolios, evaluate monetization shifts between free and paid applications, and construct historical datasets of mobile application trends.
• 🎯 ASO (App Store Optimization) & Growth Teams: Identify high-ranking keyword opportunities, audit localized metadata across foreign storefronts, optimize visual asset positioning, and monitor rating velocity to protect brand reputation.
• 🤖 Data Scientists & Machine Learning Engineers: Assemble large, clean text datasets from user reviews and product descriptions for natural language processing (NLP), topic clustering, automated customer support triage, and sentiment scoring.
• 💼 Investors & Venture Capitalists: Gauge early user traction, review velocity, developer stability, and customer reception to identify breakout mobile applications and validate market demand before committing capital.

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Why use Apple App Store Scraper?

Feature	Apple App Store Scraper	Manual Collection	App Store Connect API	Generic Web Scrapers
Coverage	Any public app globally	Very limited	Only your own apps	Unreliable & fragile
Extraction Speed	Hundreds of apps in seconds	Hours of manual copying	Restricted to account	Slow browser overhead
Review Extraction	Up to 500 reviews per app	Copy-paste only	Limited export tools	Incomplete or blocked
Setup Required	None (ready out of the box)	None	Paid Apple Developer account	Complex selector coding
Multi-Storefront Support	150+ regional storefronts	Manual browser switching	Only account territories	Fragmented regional proxying
Pricing Model	Pay only for results scraped	High manual labor cost	$99/year fee + limitations	High compute & proxy costs
Export Formats	JSON, CSV, Excel, XML	Manual formatting	Raw reports	Inconsistent schema

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Scraping modes in detail

Apple App Store Scraper offers four tailored operational modes to match your specific research objectives:

1. Search Mode (mode: "search")

Enter a search keyword (such as "budget planner", "language learning", or "sleep tracker"). The scraper queries the App Store catalog for the term in the chosen country storefront and returns matching applications up to your specified result limit. You can filter results to return all applications, free apps only, or paid apps only.

2. Details Mode (mode: "details")

Provide a list of direct App Store links (for example, https://apps.apple.com/us/app/duolingo-language-lessons/id570060128) or plain numeric app IDs (570060128). The scraper resolves full technical metadata for all requested applications in batches. If you enable the includeReviews parameter, the Actor automatically extracts corresponding customer reviews for each app in the same run.

3. Reviews Mode (mode: "reviews")

Target specific mobile applications to harvest written user reviews. For each app ID or URL provided, the Actor collects review records containing customer ratings, review titles, user feedback text, reviewer usernames, dates, and version references. You can sort reviews by most recent or most helpful.

4. Charts Mode (mode: "charts")

Discover leading applications by harvesting the official App Store rankings. Select either top free or top paid charts, and specify how many ranked apps to resolve (from 1 up to 200). The Actor retrieves the leaderboard and resolves full, 30+ field metadata records for every ranked app in exact leaderboard order.

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What data can you extract?

Every scraping run produces clean, normalized records with consistent field definitions. Below are the schema definitions for app metadata and customer review outputs.

📱 App Metadata Fields (30+ attributes)

Field Name	Type	Description	Example
appId	Integer	Unique Apple numeric application ID	570060128
appName	String	Full published application title	"Duolingo - Language Lessons"
bundleId	String	Technical bundle identifier	"com.duolingo.DuolingoMobile"
developer	String	Public artist or company name	"Duolingo, Inc."
developerUrl	String	Link to the developer's App Store portfolio	"https://apps.apple.com/us/developer/duolingo/id570060131"
sellerName	String	Registered seller entity name	"Duolingo, Inc."
sellerUrl	String	Official external website of the seller	"https://www.duolingo.com"
primaryGenre	String	Primary App Store category name	"Education"
genres	Array	All categories associated with the app	["Education", "Reference"]
price	Number	App download price in local currency	0
formattedPrice	String	Display price string formatted for region	"Free" or "$2.99"
currency	String	Storefront three-letter currency code	"USD"
averageUserRating	Number	All-time average user rating (1.0 to 5.0)	4.75
userRatingCount	Integer	Total number of user ratings submitted	2480110
ratingForCurrentVersion	Number	Average user rating for current version	4.75
ratingCountForCurrentVersion	Integer	Rating volume for current version	18204
contentRating	String	Age advisory rating tier	"4+"
version	String	Current published application version	"7.42.0"
releaseDate	String	Initial public release timestamp (ISO 8601)	"2012-11-13T08:00:00Z"
currentVersionReleaseDate	String	Most recent version release timestamp	"2026-03-10T14:15:00Z"
releaseNotes	String	Developer changelog and update summary	"Practice speaking, reading, listening, and writing in bite-sized lessons."
minimumOsVersion	String	Minimum required operating system version	"16.0"
fileSizeBytes	Integer	Exact application package size in bytes	195412800
fileSizeMB	Number	Application size in megabytes (MB)	186.36
languages	Array	Supported ISO 639-1 two-letter language codes	["EN", "ES", "FR", "DE", "JA", "KO", "PT", "ZH"]
supportedDevicesCount	Integer	Count of compatible Apple device models	131
supportedDevices	Array	Full list of supported hardware platforms	["iPhone", "iPad", "iPodTouch"]
description	String	Complete application store description text	"Learn a new language with the world's most-downloaded education app!..."
iconUrl	String	High-resolution 512x512 app icon URL	"https://is1-ssl.mzstatic.com/icon512.jpg"
screenshotUrls	Array	High-definition iPhone screenshot preview URLs	["https://is1-ssl.mzstatic.com/screen1.jpg"]
ipadScreenshotUrls	Array	iPad screenshot preview URLs	["https://is1-ssl.mzstatic.com/ipad1.jpg"]
appStoreUrl	String	Canonical web URL for the App Store listing	"https://apps.apple.com/us/app/duolingo-language-lessons/id570060128"
country	String	Storefront country code evaluated	"us"
searchTerm	String	Originating search query (if in search mode)	"budget planner"

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⭐ Customer Review Fields

Field Name	Type	Description	Example
reviewId	String	Unique App Store customer review identifier	"14528906795"
title	String	Headline title provided by the reviewer	"Excellent daily utility"
content	String	Full written body text of the customer review	"I use this application every morning to track learning progress..."
rating	Integer	Star rating assigned by the reviewer (1 to 5)	5
author	String	Public display name of the reviewer	"CreativeUser99"
authorUrl	String	Profile URL of the reviewer	"https://itunes.apple.com/us/reviews/id1218042398"
appVersion	String	Application version installed when reviewed	"7.42.0"
date	String	Date and time the review was submitted	"2026-09-09T05:06:21-07:00"
voteSum	Integer	Aggregate score of helpful votes	14
voteCount	Integer	Total count of user helpfulness votes	16
appId	Integer	Numeric ID of the reviewed app	570060128
appName	String	Title of the reviewed application	"Duolingo - Language Lessons"

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Step-by-step guide: How to scrape the Apple App Store

Getting started with Apple App Store Scraper takes less than a minute. Follow these steps to execute your first extraction run:

1. Open the Actor page: Navigate to Apple App Store Scraper on Apify Store.
2. Select your Scraping Mode:
   • Choose Search apps to discover new applications matching keywords.
   • Choose App details to extract rich metadata for specific applications.
   • Choose App reviews to extract user feedback and star ratings.
   • Choose Top charts to collect the current top free or paid leaderboards.
3. Configure your target inputs:
   • For search, provide one or more search keywords (e.g. productivity, meditation).
   • For details or reviews, paste full App Store URLs or numeric application IDs.
   • For charts, choose whether you want Top Free Apps or Top Paid Apps.
4. Select Storefront Country: Enter the two-letter region code representing your target market (default is us). For the United Kingdom use gb, for Germany use de, for France use fr, for Japan use jp, etc.
5. Set Result Limits: Configure the maximum number of records you wish to retrieve (e.g. 50 items).
6. Click Start: Click the green Start button. The Actor initializes immediately and displays real-time progress logs in the Console.
7. Download or Integrate: When the run finishes, navigate to the Dataset tab to view your data in a structured table, download it in your preferred file format (JSON, CSV, Excel), or connect it to external tools.

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Input configuration and examples

Below is the complete reference of configurable input parameters supported by the Actor:

Parameter	Type	Default	Description
mode	String	"search"	Operational mode: "search", "details", "reviews", or "charts".
searchTerm	String	"budget planner"	Primary search keyword for search mode. Accepts a text string. Also accepts searchTerms as an array of strings.
appIds	Array of Strings	[]	Direct App Store listing URLs or numeric IDs for details and reviews modes. For example: https://apps.apple.com/us/app/duolingo-language-lessons/id570060128. Also accepts appUrlsOrIds.
country	String	"us"	Two-letter country code for the target storefront region (e.g. us, gb, de, fr, jp).
maxItems	Integer	50	Maximum items to extract per query (1 to 500). Set 0 for unlimited. Also accepts limit.
priceFilter	String	"all"	Filter apps by pricing: "all", "free", or "paid".
chartType	String	"top-free"	Chart leaderboard to track: "top-free" or "top-paid".
chartLimit	Integer	50	Number of ranked chart apps to extract (1 to 100).
includeReviews	Boolean	false	When enabled in details or search mode, automatically collects customer reviews.
reviewSort	String	"mostRecent"	Review sorting order: "mostRecent" or "mostHelpful".
proxyConfiguration	Object	{ "useApifyProxy": true }	Apify Proxy configuration for high-availability extraction.

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Example 1: Keyword Search across App Store

Extract top personal finance and budget planning tools in the United States storefront:

{
  "mode": "search",
  "searchTerm": "budget planner",
  "country": "us",
  "maxItems": 25,
  "priceFilter": "free"
}

Example 2: Target App Metadata Lookup

Resolve detailed technical specifications and release history for specific competitor apps:

{
  "mode": "details",
  "appIds": [
    "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
    "https://apps.apple.com/us/app/notion-notes-docs-tasks/id1232780281",
    "426826309"
  ],
  "country": "us",
  "includeReviews": false
}

Example 3: Extract Customer Reviews for Sentiment Analysis

Harvest the latest 100 written user reviews for Duolingo to evaluate user feedback and feature requests:

{
  "mode": "reviews",
  "appIds": [
    "570060128"
  ],
  "country": "us",
  "maxItems": 100,
  "reviewSort": "mostRecent"
}

Example 4: Discover Top Free Chart Leaders

Collect full details for the top 50 free applications currently leading the App Store charts:

{
  "mode": "charts",
  "chartType": "top-free",
  "chartLimit": 50,
  "country": "us"
}

---

Sample output datasets

Sample App Detail Output Record

{
  "appId": 570060128,
  "appName": "Duolingo - Language Lessons",
  "bundleId": "com.duolingo.DuolingoMobile",
  "developer": "Duolingo, Inc.",
  "developerUrl": "https://apps.apple.com/us/developer/duolingo/id570060131",
  "sellerName": "Duolingo, Inc.",
  "sellerUrl": "https://www.duolingo.com",
  "primaryGenre": "Education",
  "genres": [
    "Education",
    "Reference"
  ],
  "price": 0,
  "formattedPrice": "Free",
  "currency": "USD",
  "averageUserRating": 4.75,
  "userRatingCount": 2480110,
  "ratingForCurrentVersion": 4.75,
  "ratingCountForCurrentVersion": 18204,
  "contentRating": "4+",
  "version": "7.42.0",
  "releaseDate": "2012-11-13T08:00:00Z",
  "currentVersionReleaseDate": "2026-03-10T14:15:00Z",
  "releaseNotes": "Practice speaking, reading, listening, and writing in bite-sized lessons.",
  "minimumOsVersion": "16.0",
  "fileSizeBytes": 195412800,
  "fileSizeMB": 186.36,
  "languages": [
    "EN",
    "ES",
    "FR",
    "DE",
    "JA",
    "KO",
    "PT",
    "ZH"
  ],
  "supportedDevicesCount": 131,
  "supportedDevices": [
    "iPhone",
    "iPad",
    "iPodTouch"
  ],
  "description": "Learn a new language with the world's most-downloaded education app! Duolingo is the fun, free app for learning 40+ languages through quick, bite-sized lessons.",
  "iconUrl": "https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/icon512.jpg",
  "screenshotUrls": [
    "https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/screen1.jpg",
    "https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/screen2.jpg"
  ],
  "ipadScreenshotUrls": [
    "https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/ipad1.jpg"
  ],
  "appStoreUrl": "https://apps.apple.com/us/app/duolingo-language-lessons/id570060128",
  "country": "us",
  "searchTerm": "budget planner"
}

Sample Customer Review Output Record

{
  "reviewId": "14528906795",
  "title": "Excellent daily practice utility",
  "content": "I use this application every morning to build consistent habits and track learning progress. The interactive bite-sized lessons keep practice engaging without feeling overwhelming.",
  "rating": 5,
  "author": "CreativeLearner42",
  "authorUrl": "https://itunes.apple.com/us/reviews/id1218042398",
  "appVersion": "7.42.0",
  "date": "2026-09-09T05:06:21-07:00",
  "voteSum": 14,
  "voteCount": 16,
  "appId": 570060128,
  "appName": "Duolingo - Language Lessons"
}

---

Pricing and cost estimation

Apple App Store Scraper operates under Apify's transparent Pay-Per-Event (PPE) pricing model. You do not need an expensive fixed monthly software subscription; you are billed strictly for the number of applications and reviews extracted during your runs.

Charge Event Breakdown

• Actor Start: $0.005 (one-time base fee per scraping execution).
• Detail Scraped: $0.00340 per app ($3.40 / 1,000 apps; covers comprehensive 30+ field metadata extraction).
• Review Scraped: $0.00120 per written review ($1.20 / 1,000 reviews).
• Platform Usage: Free (no additional compute surcharges).

Volume Tier Pricing

As your extraction volume increases across monthly runs, Apify automatically applies tiered volume discounts according to your subscription plan. Platinum and Diamond tiers receive the same discounted pricing as Gold:

Subscription Plan	Discount Tier	Detail Scraped (per 1,000)	Review Scraped (per 1,000)	Actor Start	Platform Usage
Free	No discount	$3.40	$1.20	$0.005	Free
Starter	Bronze discount	$2.80	$1.00	$0.005	Free
Scale	Silver discount	$2.30	$0.80	$0.005	Free
Business	Gold discount	$1.70	$0.60	$0.005	Free
Platinum	Gold discount rate	$1.70	$0.60	$0.005	Free
Diamond	Gold discount rate	$1.70	$0.60	$0.005	Free

Realistic Real-World Run Scenarios

• Quick Keyword Exploration (10 search results): ~3 to 5 seconds duration. Cost: $0.039 ($0.04) total ($0.005 start + 10 × $0.00340).
• Competitor Tracking (20 app details): ~4 to 6 seconds duration. Cost: $0.073 ($0.07) total ($0.005 start + 20 × $0.00340).
• Deep Customer Sentiment Mining (250 reviews for 1 app): ~12 to 15 seconds duration. Cost: $0.308 ($0.31) total ($0.005 start + 1 × $0.00340 app detail + 250 × $0.00120 reviews).
• Top 50 Chart Leaderboard Extraction (50 full app details): ~8 to 10 seconds duration. Cost: $0.175 ($0.18) total ($0.005 start + 50 × $0.00340).

Included Free Platform Credit: Every Apify account receives $5.00 of free monthly usage credit. This free allowance allows you to scrape up to 1,470 full app details or more than 4,100 customer reviews every single month at zero out-of-pocket cost.

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Best practices and optimization tips

1. Start with focused limits: When setting up a new workflow, test your parameters with limit: 5 or limit: 10 to confirm that the extracted fields and country storefront match your requirements before scaling to large batches.
2. Leverage direct URLs for precision: If you already track a specific list of competitors or portfolio companies, paste full App Store URLs directly into appUrlsOrIds. The Actor automatically parses the numeric identifier regardless of localized URL formatting.
3. Select the correct storefront: App Store descriptions, pricing, localized categories, and user reviews differ dramatically between countries. Always specify the two-letter region code corresponding to your target audience (us, gb, de, fr, jp, etc.).
4. Understand catalog limits: Apple caps keyword search responses at 200 items per query. To construct larger category datasets, query multiple complementary keywords (e.g. "workout tracker", "gym log", "calorie counter") and deduplicate records by appId.
5. Deduplicate reviews over time: Apple publishes up to 500 reviews per application per country storefront via its public review feeds. For recurring monitoring, schedule daily or weekly runs and use reviewId as your unique primary key to detect newly posted user feedback.
6. Combine review sorts: To balance recent feedback with high-impact community reviews, perform one extraction run using reviewSort: "mostRecent" and a companion run using reviewSort: "mostHelpful".

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Automated workflows and integrations

Apple App Store Scraper integrates directly into modern data stacks and automation platforms:

• Google Sheets & Airtable: Pipe scraped app metadata and customer review tables directly into spreadsheets for automated competitor dashboards and collaborative team analysis.
• Slack & Microsoft Teams Alerts: Trigger webhook notifications whenever a competitor app drops below a target rating threshold (e.g. rating < 4.2) or when a critical negative review appears.
• Make & Zapier Automations: Automatically push new 1-star and 2-star customer reviews into Jira or Zendesk as customer feedback tickets for your product development team.
• Scheduled Weekly Monitoring: Set up an automated recurring cron schedule in Apify Console to audit pricing changes, rating fluctuations, and version updates across your competitive set every Monday morning.
• Cloud Storage & Data Warehouses: Export bulk JSON and CSV datasets directly into Amazon S3, Google Cloud Storage, BigQuery, or Snowflake for longitudinal ASO modeling and business intelligence reporting.

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Programmatic API usage

You can trigger and control Apple App Store Scraper programmatically via the Apify REST API or official client libraries.

Node.js / JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

// Start the scraper run and wait for it to complete
const run = await client.actor('karamelo/apple-app-store-scraper').call({
    mode: 'search',
    searchTerm: 'budget planner',
    country: 'us',
    maxItems: 25,
    priceFilter: 'all',
});

// Fetch output records from the resulting dataset
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} apps:`);
for (const app of items) {
    console.log(`- ${app.appName} (${app.formattedPrice}) - Rating: ${app.averageUserRating}`);
}

Python

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

    # Prepare input configuration
    run_input = {
        'mode': 'reviews',
        'appIds': ['https://apps.apple.com/us/app/duolingo-language-lessons/id570060128'],
        'country': 'us',
        'maxItems': 50,
        'reviewSort': 'mostRecent',
    }

    # Run the Actor and wait for completion
    run = client.actor('karamelo/apple-app-store-scraper').call(run_input=run_input)

    # Fetch results from dataset
    dataset = client.dataset(run['defaultDatasetId'])
    for review in dataset.iterate_items():
        print(f"[{review['rating']} stars] {review['author']}: {review['title']}")

cURL

curl -X POST "https://api.apify.com/v2/acts/karamelo~apple-app-store-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "charts",
    "chartType": "top-free",
    "chartLimit": 20,
    "country": "us"
  }'

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Use with AI agents and MCP

Apple App Store Scraper supports the Model Context Protocol (MCP), allowing autonomous AI agents, LLMs, and development assistants to retrieve live mobile market data directly into conversational workflows.

Claude Code Setup

Connect the Actor directly to Claude Code via terminal:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=karamelo/apple-app-store-scraper"

Cursor, Claude Desktop, and VS Code Setup

Add the Apify MCP endpoint to your client configuration file (claude_desktop_config.json or Cursor MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=karamelo/apple-app-store-scraper"
    }
  }
}

Example AI Agent Prompts

Once connected, your AI assistants can execute tasks using natural language:

• "Identify the top 15 budget planner apps in the US App Store, compare their user ratings and file sizes, and present the results in a comparative markdown table."
• "Extract the latest 100 customer reviews for Duolingo on the App Store and perform a thematic analysis identifying the top 3 user friction points."
• "Analyze recent version changelog notes across leading productivity apps to summarize emerging feature trends this quarter."

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Limitations and platform considerations

To ensure smooth automated execution, keep the following platform constraints in mind:

• Search result volume limit: Apple's public catalog index returns a maximum of 200 applications per individual keyword search query. For wider category coverage, submit multiple granular search keywords in the searchTerms list.
• Review pagination limit: Apple's customer review feeds provide a maximum of 10 pages containing up to 50 reviews each, yielding a hard ceiling of 500 reviews per application per storefront region. To extract larger historical review datasets, query multiple regional storefronts where the app is published.
• Regional catalog availability: Certain applications and games are published exclusively in specific countries. If an application ID fails to return metadata in the us storefront, verify whether the app is restricted to another storefront territory (e.g. jp or cn).
• Conditional metadata fields: When an application has received fewer than five user ratings, Apple does not display an aggregated score, causing averageUserRating and userRatingCount to return null. Similarly, releaseNotes may be empty if a developer omitted update notes for their release.

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Frequently Asked Questions (FAQ)

How fast does Apple App Store Scraper execute?

The Actor completes search queries and batch lookups in approximately 3 to 6 seconds for typical batches of 25 to 50 applications. Review extraction runs of 100 customer reviews typically finish in under 12 seconds.

How much does it cost to scrape 1,000 applications?

Under the Free plan, extracting 1,000 comprehensive application detail records costs $3.405 ($0.005 run start + $3.40 data charge). On higher subscription tiers (Business, Platinum, Diamond) with automated volume discounts, 1,000 application details cost as low as $1.705 ($0.005 run start + $1.70 data charge).

Can I scrape customer reviews in languages other than English?

Yes. User reviews in the Apple App Store are partitioned by geographic storefront. Setting country: "fr" retrieves reviews submitted by French storefront users, country: "de" returns German reviews, and country: "jp" returns Japanese reviews.

Does this Actor require an Apple ID or Apple Developer account?

No. The scraper accesses only public App Store storefront information. You do not need an Apple account, login credentials, private certificates, or an active Apple Developer subscription.

How do I track competitor ratings and version changes over time?

Configure a scheduled run in Apify Console set to mode: "details" with your target competitor app IDs. Schedule the run to trigger weekly and connect the output dataset to Google Sheets in append mode. This creates an ongoing audit log of rating fluctuations, version increments, and changelog updates.

Can I extract both iPad and iPhone applications?

Yes. The scraper returns applications across all iOS and iPadOS platforms, and distinguishes between device-specific screenshot previews with dedicated screenshotUrls and ipadScreenshotUrls arrays.

What happens if an app ID does not exist?

If an invalid or defunct numeric ID is provided, the Actor safely logs an informative warning, skips the missing entry without throwing unhandled exceptions, and continues processing the remainder of your requested apps.

Is scraping public App Store data compliant with web standards?

Yes. Apple App Store Scraper collects exclusively publicly accessible product metadata and customer reviews published on open storefront listings. The Actor respects public server rate limits, avoids unnecessary request overhead, and does not access private account information or bypass authenticated paywalls. Always ensure your specific downstream data processing activities comply with applicable regional privacy and data handling regulations.