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App Store Reviews Scraper - iOS App Ratings & Sentiment Data — App Store | Lagic

Built For

Get iOS App Store reviews, ratings, and user sentiment data for any app.

Curated by Lagic·Verified working

Configure Agent

List of App Store app IDs to scrape reviews from (e.g., 333903271 for Twitter/X)

List of App Store URLs to scrape reviews from (alternative to app IDs)

Country codes to scrape reviews from (e.g., us, gb, de, fr, jp)

Maximum number of reviews to scrape per app per country (0 = unlimited, max ~500 due to API limits)

How to sort the reviews

Delay between API requests

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Star rating (1-5)Review title and full text contentReviewer's name and profile linkDate the review was last updatedApp version the review applies toCountry of the reviewer (e.g., 'us', 'gb')
Value...Sample Text...https://...2026-04-05Value...888
Value...Sample Text...https://...2026-04-05Value...893
..................
Exports as:CSVXLSXJSON

Overview

Extract user reviews for any iOS app from the Apple App Store across multiple countries. Get raw data including star ratings, review content, and author details for product feedback and competitive analysis.

User reviews are the most direct form of feedback you can get for a mobile app. They contain bug reports, feature requests, and honest sentiment that is critical for product development, marketing, and competitive strategy. This tool automates the collection of this data from the Apple App Store. ### Collect Targeted User Feedback Provide a list of App Store app IDs or URLs and specify which countries you want to gather reviews from. You can tailor the data collection to focus on your most important markets or to compare user sentiment across different regions. The tool lets you sort reviews by the most recent or the most helpful, and you can set a limit on the number of reviews to extract per app. ### What You Get The output is a structured dataset containing the core components of each review: the author's name, the star rating (1-5), the title and full text of the review, the app version it was written for, and the date. This raw data is perfect for feeding into sentiment analysis tools, internal dashboards, or just a simple spreadsheet for your product team to analyze. This tool is built for product managers, app developers, marketing agencies, and market researchers who need to stay on top of user feedback without manually checking the App Store every day.

Key Capabilities

  • ✓ Star rating (1-5)
  • ✓ Review title and full text content
  • ✓ Reviewer's name and profile link
  • ✓ Date the review was last updated
  • ✓ App version the review applies to
  • ✓ Country of the reviewer (e.g., 'us', 'gb')
  • ✓ App name and unique App Store ID
  • ✓ Total vote count and sum for the review
  • ✓ Track Post-Release Bug Reports: Product managers can monitor recent reviews after a new app version is released to quickly identify and categorize user-reported bugs.
  • ✓ Analyze Competitor Weaknesses: Marketing teams can scrape reviews for competing apps to find common complaints and use these pain points in their own advertising campaigns.
  • ✓ Inform Product Roadmaps: App developers can analyze the most helpful reviews to identify and prioritize highly requested features for future updates.
  • ✓ Compare International User Sentiment: Market researchers can gather reviews from different countries to understand regional differences in user needs and app perception.
  • ✓ Monitor Brand Reputation: Brand managers can track the overall star rating and review sentiment over time to measure the health of their app's public image.
  • ✓ Compile Client Reports: Agencies can provide clients with detailed, data-backed reports on their app's user feedback and market position.

Field Dictionary

How To Run This Extractor

1

Add one or more App Store app IDs or full app URLs to the input fields.

2

Enter the two-letter country codes for the regions you want to scrape (e.g., 'us', 'de').

3

Set the maximum number of reviews you want per app, up to the platform limit of ~500.

4

Choose whether to sort reviews by 'mostRecent' or 'mostHelpful'.

5

Run the tool and download your review data in CSV, JSON, or Excel format.

Frequently Asked Questions

Do I need technical skills to use this?
No, you only need the App Store URLs or IDs for the apps you want to track. No coding is required.
How do I find an app's ID?
Is there a limit to how many reviews I can get?
Can I get reviews from specific countries?
What format will the data be in?
Is it legal to scrape App Store reviews?
Can I use this for client work?
How up-to-date is the data?
Can I schedule this to run automatically?
How much will this cost to run?