📱 App Store Reviews Scraper
Scrape Apple App Store review data from app URLs without coding. This App Store reviews scraper helps you collect review text, ratings, review titles, review dates, reviewer names, review versions, and helpful-vote signals from the Apple App Store for app review monitoring, ASO research, competitor analysis, customer feedback analysis, and product improvement workflows.
This template uses Apple's official review API under the hood, so you only need to paste App Store app URLs to start collecting structured review data.
💰 Cost of Usage: Free
🔗 Input: App URLs from App Store (up to 10,000)
🎯 Best for: App review monitoring, ASO research, customer feedback analysis, competitor review tracking
🚀 What is App Store Reviews Scraper?
App Store Reviews Scraper is a ready-made Octoparse template for extracting Apple App Store reviews from app detail page URLs. It is designed for teams that want structured review data without building their own API workflow or writing a custom scraper.
You can use it to collect the latest review content for one app or many apps at once, then export the data to Excel, CSV, or JSON for review analysis, complaint tracking, release QA, sentiment analysis, or competitor benchmarking.
🛠 How to Use
- Click Try it!
- Paste one or more App Store app URLs.
- Click Start.
- Select Run in Web Browser.
- Review the extracted data in Data Preview.
- Export the results in your preferred format.
Example input URLs:
- https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580
- https://apps.apple.com/jp/app/%E5%8E%9F%E7%A5%9E-%E7%A9%BA%E6%9C%88%E3%81%AE%E6%AD%8C/id1517783697
⭐ Why use this App Store review scraper?
Product teams use this template to monitor what users are saying after app updates, feature launches, pricing changes, or bug fixes.
ASO and growth teams use it to analyze review sentiment, recurring complaints, high-frequency keywords, and review patterns across competing apps.
Customer support and operations teams use it to collect negative reviews quickly, identify repeated pain points, and prioritize fixes or response workflows.
Researchers and app analysts use it to compare rating trends, review volume, and review language across multiple apps or app categories.
📊 What data can you extract?
This template extracts structured review-level data from the Apple App Store, including:
- Input URL
- App review page URL
- Reviewer name
- Reviewer profile URL
- Review date
- Review rating
- Review title
- Review content
- Review version
- Review ID
- Helpful vote total
- Helpful vote count
This makes the template suitable for:
- review sentiment analysis
- app feedback monitoring
- release-by-release review comparison
- complaint clustering
- review export for dashboards or spreadsheets
🧾 Example output
- Input: https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580
- App_ID_URL: https://itunes.apple.com/us/review?id=324684580&type=Purple%20Software
- Reviewer_name: trosky 45
- Reviewer_URL: https://itunes.apple.com/us/reviews/id1235757997
- Review_date: 2026-05-11T14:11:23-07:00
- Review_rating: 5
- Review_title: Aplicacion
- Review_content: Un millon de felicitaciones para la persona que selecciona la musica de blues en espanol...
- Review_version: 9.1.44
- Review_ID: 14053977807
- Review_vote_sum: 0
- Review_vote_count: 0
🔗 Input requirements
This template uses one main input:
- App URLs from App Store (up to 10,000)
Best practice:
- paste official App Store app detail page URLs
- use one URL per line
- keep URLs from the storefront you want to analyze, such as us, jp, or other country-specific App Store pages
🎯 Common use cases
App review monitoring
Track the newest user feedback after product releases, onboarding changes, redesigns, pricing updates, or bug-fix deployments.
ASO and review mining
Extract App Store review content to identify high-frequency review topics, repeated complaints, praise themes, and language used by real users.
Competitor review analysis
Collect reviews from competing apps to compare user sentiment, complaint themes, feature expectations, and release quality.
Customer insight analysis
Export review data for tagging, summarization, sentiment analysis, BI dashboards, or AI-assisted review clustering.
⚠️ Limitations
There are several important limitations you should know before running this template:
- Octoparse can extract up to 500 reviews per app
- reviews are collected in newest first order only
- older reviews cannot be fetched instead of the newest 500
- custom sorting by rating, date, or other logic is not supported
- custom scripts cannot be added by end users inside the preset template
These limits come from the current Apple App Store review source and the way the template is designed.
If your workflow needs deeper customization, Octoparse offers paid customization services for templates with special requirements.
🐙 Why Octoparse for App Store review scraping?
Octoparse makes App Store review extraction easier for non-technical teams:
- no coding required
- no need to build your own review API workflow
- supports bulk app URL input
- export-ready structured review data
- useful for review analysis, reporting, and downstream AI processing
❓ FAQ
What URL do I need to run this template?
You need the official Apple App Store app detail page URL, such as:
How many reviews can this template extract?
This template can extract up to 500 reviews per app.
Can I get the oldest reviews instead of the newest ones?
No. App Store reviews are currently extracted in newest first order only.
Can I sort reviews by star rating or custom date range?
No. Custom sorting is not supported in the current template.
Can I scrape multiple apps at once?
Yes. You can paste multiple App Store app URLs, with up to 10,000 input lines.
Is this template good for ASO and app review analysis?
Yes. It is well suited for ASO research, customer feedback monitoring, competitor review tracking, complaint analysis, and release-impact review analysis.
Do I need coding skills or my own Apple API integration?
No. This is a ready-made Octoparse template, and you only need to provide the App Store app URLs.
🔄 Related templates
If you need more than App Store reviews, these related templates may help:
- App Store Search ScraperUse this when you need to discover app URLs first by keyword, country, or device type before collecting reviews.
- Google Play review templatesUse these when you need review data from Google Play in addition to Apple App Store data.
⚖️ Is scraping App App Store reviews legal?
Scraping publicly available review data is generally legal in many scenarios, but legality depends on jurisdiction, target data, and how the data is used. If you are unsure, please seek professional legal advice before large-scale data collection or commercial use.