Apple App Store Reviews Scraper

Scrape Apple App Store reviews from any iOS app using App Store URLs or IDs. Extract ratings, titles, review text, author info, and more — perfect for ASO research, sentiment analysis, competitor monitoring, and NLP datasets.

Why scrape Apple App Store reviews?

The Apple App Store is the primary distribution channel for iOS apps, and user reviews contain invaluable feedback for developers, marketers, and researchers. Manually reading thousands of reviews is impossible — this Actor automates the entire process.

Key benefits:

• Extract reviews at scale from any public App Store listing
• Filter by rating, sort by recency, helpfulness, or favorability
• Target specific country stores with ISO country codes
• Built-in request delays and Apify Proxy support to avoid blocks
• Structured JSON output ready for analysis, dashboards, or NLP pipelines

What data can this Actor extract?

Field	Type	Description
title	string	Review title/headline
text	string	Full review body text
rating	number	Star rating (1-5)
author	string	Reviewer display name
authorUrl	string	Profile URL of the reviewer
date	string	Publication date
version	string	App version reviewed
developerResponse	object	Developer reply (if available)
isEdited	boolean	Whether the review was edited
thumbsUpCount	number	Number of helpful votes

How to scrape Apple App Store reviews

1. Add app URLs — Enter one or more App Store URLs or numeric app IDs in the appUrls field
2. Configure limits — Set maxReviews to control how many reviews to extract per app (default: 1000)
3. Choose sort order — Pick mostrecent, mosthelpful, mostfavorable, or mostcritical
4. Select review source — Use internal for Apple's internal reviews or rss for RSS feed
5. Set country — Specify the App Store country with an ISO code (e.g., us, gb, jp)
6. Run the Actor — Click Start and monitor progress in the Console

How much will it cost?

This Actor charges $0.005 per result (per review extracted).

• Scraping 1,000 reviews = ~$5.00
• Scraping 10,000 reviews = ~$50.00
• Free tier: Apify gives you $5/month in credits — enough for ~1,000 reviews

Use maxReviews to control costs precisely. Enable useApifyProxy for reliable scraping at scale.

Input

See the Input tab for full configuration options.

Parameter	Type	Default	Description
appUrls	array	required	App Store URLs or numeric app IDs
maxReviews	integer	1000	Max reviews to extract per app
reviewSource	string	internal	Source: internal or rss
sortBy	string	mostrecent	Sort: mostrecent, mosthelpful, mostfavorable, mostcritical
country	string	us	ISO country code for the App Store
requestDelayMs	integer	800	Delay between requests in milliseconds
useApifyProxy	boolean	false	Use Apify Proxy for reliable scraping
apifyProxyGroups	array	[]	Proxy groups (e.g., ["RESIDENTIAL"])

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

[
  {
    "title": "Great app!",
    "text": "This app has completely changed how I manage my workflow. Highly recommend it to anyone.",
    "rating": 5,
    "author": "John D.",
    "date": "2025-12-15",
    "version": "3.2.1",
    "developerResponse": null,
    "isEdited": false,
    "thumbsUpCount": 12
  },
  {
    "title": "Needs improvement",
    "text": "The app crashes frequently on iOS 18. Please fix the stability issues.",
    "rating": 2,
    "author": "Sarah M.",
    "date": "2025-12-10",
    "version": "3.2.0",
    "developerResponse": {
      "text": "Thanks for your feedback. We're working on a fix.",
      "date": "2025-12-12"
    },
    "isEdited": false,
    "thumbsUpCount": 5
  }
]

Dataset views

This Actor provides two pre-configured dataset views:

• byRating — Reviews grouped and sorted by star rating for quick sentiment overview
• overview — General summary with all reviews in chronological order

Tips

• Use requestDelayMs: 1000 or higher to avoid rate limiting
• Enable useApifyProxy with RESIDENTIAL group for high-volume scraping
• Combine with sortBy: "mostcritical" to prioritize bug reports and complaints
• Schedule recurring runs to track review trends over time using Apify's Scheduler
• For ASO research, scrape competitor apps alongside your own to benchmark ratings

Use cases

• ASO Research — Analyze keywords and themes in competitor reviews
• Sentiment Analysis — Feed review text into NLP models to gauge user sentiment
• Competitor Monitoring — Track competitor app ratings and identify their weaknesses
• Release Impact Tracking — Compare review trends before and after app updates
• NLP Datasets — Build labeled datasets for text classification and opinion mining
• Critical Review Analysis — Focus on low-rated reviews to prioritize fixes

Legal disclaimer

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Need help?

• Check the Issues tab for known problems and feature requests
• Use the API tab for programmatic access and integration into your pipelines
• Refer to Apify documentation for platform usage

Related Actors

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