Apple App Store Reviews Scraper

kawsar's Apple App Store Reviews Scraper lets you easily collect iOS customer reviews, ratings, titles, and version data directly from public App Store RSS feeds into clean, ready-to-use datasets.

What it does

This actor gathers App Store review rows so you can track user ratings, review titles, and full feedback text in one structured dataset without any complex setup.

Modes

• Reviews: Pages through available customer review feeds for one or more app IDs up to your specified item limit.

Input example

{
  "mode": "reviews",
  "appIds": ["389801252"],
  "country": "us",
  "sortBy": "mostrecent",
  "maxItems": 50,
  "requestDelaySecs": 1
}

Output example

{
  "appId": "389801252",
  "country": "us",
  "sortBy": "mostrecent",
  "authorName": "Lil Gary69",
  "updatedAt": "2026-10-10T19:24:25-07:00",
  "rating": "5",
  "version": "450.1.0",
  "reviewId": "14652089892",
  "reviewTitleText": "Love my girl",
  "contentText": "was so easy to post my girl",
  "scrapedAt": "2026-10-26T00:00:00+00:00"
}

The overview table records reviewer names, update dates, star ratings, app versions, review identifiers, titles, and review text for streamlined analysis.

FAQ

Who is this tool designed for?

Product managers, growth marketers, and customer research teams looking to aggregate App Store feedback into actionable spreadsheets or datasets.

What export formats are supported?

You can export your dataset directly to JSON, CSV, Excel, and other popular formats.

Can I run this scraper automatically on a schedule?

Yes. You can configure scheduled runs to keep your review datasets fresh and up to date.

Trademark Notice

Apple App Store and related names, logos, and trademarks belong to their respective owners. Their use in this documentation is solely to identify the source of the data and does not imply affiliation, sponsorship, endorsement, or partnership.

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with Apple App Store or its owners. All data is collected from publicly available sources. Users are responsible for complying with the source's terms of use, rate limits, and attribution or licensing requirements.

Is web scraping legal?

This actor extracts publicly accessible data without bypassing login screens, paywalls, or technical security layers. While collecting public web data is widely permitted, compliance depends on how data is gathered and used:

• Personal data: When collecting identifiers like emails, phone numbers, or social handles, ensure compliance with applicable data protection laws such as GDPR or CCPA.
• Copyrighted content: Public text, images, and visual assets are often protected by intellectual property rights. Avoid directly duplicating or re-distributing full creative works.
• Platform terms & rate limits: Practice responsible data extraction by avoiding aggressive traffic spikes, adhering to rate limits, and respecting published platform policies.
• Disclaimer: This summary serves informational purposes only and does not constitute formal legal counsel. Seek professional legal advice for specific compliance queries.
• For a detailed guide, see Apify's legal overview: Is web scraping legal?.