Apple App Store Scraper — iOS Apps & Reviews

Apple App Store Scraper — iOS Apps & Reviews

Apple App Store Scraper extracts structured Apple App Store records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in 256 MB RAM, it delivers normalized datasets with zero null fields ready for CSV, Excel, JSON, or API pipelines.

Looking for related scrapers? Check out G2 Scraper, TrustRadius Scraper, Trustpilot Scraper, Product Hunt Scraper, or browse our full catalog of 118+ dedicated scrapers.

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What does Apple App Store Scraper do?

Scrape Apple App Store iOS and iPadOS apps, developer metadata, ratings, version changelogs, pricing, and verified customer reviews world.... Compatible Make.com, Zapier, n8n, Sheets & Webhooks. 256MB RAM & sub-second speed.

Whether you need to monitor Apple App Store at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, Apple App Store Scraper handles pagination, field normalization, and schema validation automatically:

• Bulk Data Extraction: Collect Apple App Store listings, items, and detailed attributes in batches using keywords, filters, or direct URLs.
• Complete Public Metadata: Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs.
• Multi-Format Export: Download results in JSON, CSV, Excel (XLSX), XML, or HTML Table directly from the Apify Console.
• Ready for Automation & AI: Connect seamlessly to Apify Integrations (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

Beyond the Official Apple App Store API

• No API Keys or Approval Delays: Start extracting public Apple App Store data immediately without registering developer apps or waiting for quota approvals.
• No Restrictive Rate Quotas: Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on Apple App Store.
• 256 MB Zero-Browser Architecture: Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs.

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What data can you scrape from Apple App Store?

Apple App Store Scraper extracts the following data points from Apple App Store:

📝 Search Terms (searchTerms)	📍 Country (country)	👀 Extract Reviews (extractReviews)
👀 Max Reviews Per App (maxReviewsPerApp)	🏷️ Item Type (itemType)	🆔 App ID (appId)
🆔 Bundle ID (bundleId)	📝 Title (title)	📝 Developer Name (developerName)
🆔 Developer ID (developerId)	🔗 Developer URL (developerUrl)	💰 Price (price)

Data Category	Extracted Fields & Data Points
Identity & Core Identifiers	itemType (Item Type), appId (App ID), bundleId (Bundle ID), title (Title), developerName (Developer Name), developerId (Developer ID)
Metrics, Pricing & Engagement	country (Country), extractReviews (Extract Reviews), maxReviewsPerApp (Max Reviews Per App), price (Price), minimumOsVersion (Minimum Os Version), reviewId (Review ID)
Details, Attributes & Context	searchTerms (Search Terms), currency (Currency), isFree (Is Free), currentVersion (Current Version), releaseNotes (Release Notes), primaryGenre (Primary Genre)
Direct Links, Media & Timestamps	developerUrl (Developer URL), formattedPrice (Formatted Price), averageUserRating (Average User Rating), userRatingCount (User Rating Count), releaseDate (Release Date), currentVersionReleaseDate (Current Version Release Date)

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Why scrape Apple App Store? (Typical Use Cases & Guides)

You can use Apple App Store Scraper for a wide range of data and business workflows:

• ASO (App Store Optimization): Monitor competitor rankings, release frequency, keyword tags, and feature additions.
• Customer Sentiment & Review Mining: Discover user bugs, complaints, and feature requests from competitor reviews.
• Mobile Dev Market Research: Scout growing indie studios and apps for acquisitions, partnerships, or ad campaigns.
• AI Agents, RAG & LLM Knowledge Pipelines: Stream clean, structured Apple App Store JSON records into vector databases, Claude, GPT-4, or LangChain workflows.
• Automated BI Dashboards & Scheduled Alerts: Schedule daily or hourly runs and push live Apple App Store updates directly to Google Sheets, Looker Studio, Slack, or webhooks.
• Market Research & Competitor Analysis: Benchmark Apple App Store offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live Apple App Store data directly to Claude Desktop, Cursor, or LangChain agents.

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How to scrape Apple App Store data

Apple App Store Scraper is designed for a zero-configuration start, even if you have never scraped data before:

1. Create a free Apify account using your email (includes $5.00 in free monthly credits).
2. Open Apple App Store Scraper and click on the Input tab — all required fields are already pre-filled with a working example.
3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test).
4. Click the green "Start" button and wait a few seconds for the data to be extracted.
5. Download your dataset in JSON, CSV, Excel (XLSX), or HTML, or fetch it via the API tab.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 How to scrape Apple App Store by Search Term or Direct URL

Scraping by Search Term / Filter 🔑	Enter keywords, categories, or filter parameters just as you would search on Apple App Store. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗	Paste one or more direct Apple App Store links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.

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⬇️ Input Configuration & Examples

To start scraping Apple App Store, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the Input Schema tab.

Input Parameters Reference

Parameter	Type	Default / Prefill	Description
searchTerms	array	["crypto wallet"]	App names or keywords to search on the App Store (e.g. ['crypto wallet', 'photo editor', 'fitness tracker']).
country	string	us	Two-letter country code (ISO 3166-1 alpha-2) for the App Store storefront (e.g., 'us', 'gb', 'fr', 'de', 'ca', 'au', 'jp').
extractReviews	boolean	true	If enabled, extracts recent customer reviews, star ratings, and review feedback for each found application.
maxReviewsPerApp	integer	10	Maximum number of recent customer reviews to extract per application.
maxApps	integer	20	Maximum number of apps to retrieve per search query.
minRating	number	0	Only keep apps with an average star rating equal to or higher than this threshold.
proxyConfiguration	object	—	Apify Proxy configuration.

Example 1: Standard Extraction (1-Click Default)

{
  "searchTerms": [
    "crypto wallet"
  ],
  "country": "us",
  "extractReviews": true,
  "maxReviewsPerApp": 10
}

Example 2: Filtered & Batch Extraction

{
  "searchTerms": [
    "crypto wallet"
  ],
  "country": "us",
  "extractReviews": true,
  "maxReviewsPerApp": 20,
  "maxApps": 40,
  "minRating": 0
}

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⬆️ Output Example (Table View, JSON & Fields Reference)

The scraped results are stored in a structured Apify Dataset available in the Storage tab. Below is a preview of the dataset in both Table View (CSV/Excel format) and JSON format.

Table View (CSV / Excel Dataset Preview)

Search Terms	Country	Extract Reviews	Max Reviews Per App
crypto wallet	us	true	10
crypto wallet	us	true	13
crypto wallet	us	true	8

JSON Output Example

{
  "searchTerms": [
    "crypto wallet"
  ],
  "country": "us",
  "extractReviews": true,
  "maxReviewsPerApp": 10
}

Output Fields Reference

Field Name	Type	Description
searchTerms	array	Extracted search terms value.
country	string	Storefront country code
extractReviews	boolean	Extracted extract reviews value.
maxReviewsPerApp	number	Extracted max reviews per app value.
itemType	string	Type of item ('app' or 'review')
appId	integer	Apple track/app ID
bundleId	string	iOS bundle identifier
title	string	Application title
developerName	string	Developer or studio name
developerId	integer	Apple artist ID
developerUrl	string	Developer App Store page
price	number	App price (0 if free)
currency	string	Storefront currency
formattedPrice	string	Formatted price string
isFree	boolean	Whether the app is free to download
averageUserRating	number	Average user rating (1.0 to 5.0)
userRatingCount	integer	Total count of ratings
currentVersion	string	Latest version string
releaseNotes	string	Changelog / What's New
releaseDate	string	Initial launch date
currentVersionReleaseDate	string	Latest update timestamp
minimumOsVersion	string	Required iOS version
contentAdvisoryRating	string	Age rating (e.g. 4+, 12+, 17+)
primaryGenre	string	Primary genre
genres	array	All associated genres
fileSizeBytes	string	App download size in bytes
iconUrl	string	App icon artwork URL
screenshotUrls	array	Device screenshot URLs
appUrl	string	App Store direct link
searchQuery	string	Original search keyword
reviewId	string	Review unique ID (for review items)
reviewAuthor	string	Author username of the review
reviewRating	integer	Star rating given by reviewer (1-5)
reviewTitle	string	Title of the review
reviewBody	string	Text body of the review
reviewDate	string	Date of the review
reviewVersion	string	App version reviewed
scrapedAt	string	Extraction timestamp

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🔗 Scrape any data you need with dedicated scrapers

Combine Apple App Store Scraper with our other dedicated scrapers from @RBBscrap if you want to extract specialized data across platforms:

🔹 G2 Scraper	🔹 TrustRadius Scraper	🔹 Trustpilot Scraper
🔹 Product Hunt Scraper	🔹 Google Play Scraper	🔹 Reddit Scraper

Scraper	Extracted Data & Primary Use Case
G2 Scraper	Software Reviews, Pricing & Buyer Intent
TrustRadius Scraper	B2B Software Reviews
Trustpilot Scraper	Reviews & Ratings
Product Hunt Scraper	Launches, Upvotes & Makers
Google Play Scraper	Apps, Installs & Reviews
Reddit Scraper	Posts, Comments & Subreddits

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⚠️ Error Items & Resilience Reference

Apple App Store Scraper is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails:

Status / Code	Meaning & Automatic Handling
OK	Record successfully extracted, validated, and normalized with zero null fields.
DEFAULT_PREFILL_APPLIED	When an empty input payload {} is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed.
RATE_LIMIT_RETRY	Transient HTTP 429 / 503 responses trigger automatic retry with exponential backoff and session rotation.
INVALID_TARGET_SKIPPED	Unreachable or malformed target items in a batch are logged with [WARN] and skipped without interrupting the run.

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❓ Frequently Asked Questions (FAQ)

How much does scraping Apple App Store cost?

Apple App Store Scraper uses transparent Pay-Per-Event (PAY_PER_EVENT) pricing set 10x cheaper than the market leader ($\div 10$):

• Event Rate: $0.0003 per Scraped Apple App Store Scraper Record ($0.3 per 1,000 items).
• 🎁 1st Run 100% FREE: Your very first execution is 100% free ($0.00 event charges are applied on your initial run).
• Apify Free Plan ($5.00/month included): Every Apify account receives $5.00 in free monthly credits, which is enough to extract up to ~16,666 items per month for free.
• View full details on the Pricing tab and the Apify Pricing page.

Can I integrate Apple App Store Scraper with Make, Zapier, n8n, or Google Sheets?

Yes. Apple App Store Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and webhooks.

Can I use Apple App Store Scraper with the Apify API (Python & Node.js)?

Yes. The Apify API gives you programmatic access to run Apple App Store Scraper, schedule jobs, and fetch datasets. Use the apify-client PyPI package for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run = client.actor("rbbscrap/app-store-scraper").call(run_input={
    "searchTerms": ["crypto wallet"],
    "country": "us",
    "extractReviews": True,
    "maxReviewsPerApp": 10
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js (apify-client)

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('rbbscrap/app-store-scraper').call({
    searchTerms: ["crypto wallet"],
    country: "us",
    extractReviews: true,
    maxReviewsPerApp: 10
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Can I use Apple App Store Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)?

Yes. With the Apify API, you can use Apple App Store Scraper in conjunction with an MCP server to connect directly to Claude Desktop, Cursor, Windsurf, or LibreChat. Read the official guide on how to set up Apify Actors with MCP, or go to the MCP tab:

1. Start a Server-Sent Events (SSE) session to receive a sessionId.
2. Send API messages using that sessionId to trigger Apple App Store Scraper with your input parameters.
3. Receive structured Apple App Store dataset records directly inside your AI agent conversation.

Do I need residential proxies or login cookies to scrape Apple App Store?

No. Apple App Store Scraper operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use Apify Proxy in the input configuration.

Is it legal to scrape data from Apple App Store?

Our scrapers are ethical and do not extract any private user data behind login walls. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by GDPR (EU Regulation 2016/679) and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the legality of web scraping.

Your feedback & support

We are continuously improving the performance of our Actors. If you have any technical feedback for Apple App Store Scraper, need a custom feature, or found a bug, please create an issue on the Actor's Issues tab in the Apify Console.