Pricing

from $3.99 / 1,000 results

Apple App Store Review Scraper

🍎 Apple App Store Review Scraper pulls app reviews, ratings, titles, dates, versions, locales & developer replies. 📊 Export to CSV/JSON for ASO, sentiment analysis, product insights & competitor research. ⚙️ Filter by country, star, date, app ID; paginate; schedule runs. 🚀 Fast, reliable.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Features

Bulk URLs — process many apps in one run.
Same output shape as RSS parsing: author, rating, version, title, content, date, plus appStoreUrl, appId, country for multi-app runs.
Retries — exponential backoff, empty-feed soft retries, 404 handling.
Proxy ladder — direct → Apify DATACENTER → RESIDENTIAL; after switching to residential, all further requests use residential (up to 3 retries per page on failure).
impit — browser-like TLS/HTTP when available; aiohttp fallback.

Input (aligned with standalone `INPUT`)

The standalone script only defines url and max_review; max_pages=10 and delay_between_pages=1.5 were hardcoded in its if __name__ block. This actor uses the same names for the documented inputs and keeps those two numbers as defaults (overridable only via API if you pass max_pages / delay_between_pages in raw input).

Field	Description
`url`	Primary App Store link (same as `INPUT["url"]`).
`urls`	Optional extra links for bulk (processed after `url`).
`max_review`	Cap per app (same as `INPUT["max_review"]`, default 300).
`proxyConfiguration`	Apify Proxy; used only after direct → datacenter → residential escalation.

Output (dataset)

One row per review with the fields above.

Local run

cd Apple-App-Store-Review-Scraper
apify run

Provide storage/key_value_stores/default/INPUT.json with your urls.

Legal

Reviews are from Apple’s public RSS feed. You are responsible for compliance with Apple’s terms and applicable laws.

Apple App Store Reviews Scraper

jdtpnjtp/apple-app-store-scraper

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scraped/apple-app-store-review-scraper

Scrape reviews for apps on the Apple App Store

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moving_beacon-owner1/apple-app-store-reviews-scraper

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fetchcraftlabs/apple-appstore-reviews-scraper

extracts reviews from Apple App Store apps at scale. Collect ratings, review text, author names, dates, and versions for analytics, sentiment analysis, monitoring competitors, or tracking user feedback automatically.

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Lightning-fast App Store review scraper that fetches up to 200 reviews per second across multiple countries. Extract valuable user feedback via App IDs or URLs, with custom mapping options. Affordable at $0.1 per 1000 reviews. Perfect for developers, marketers, and researchers.

Agents

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🐺 App Store Reviews Scraper API | $0.10/1K Reviews

thewolves/appstore-reviews-scraper

App Store Reviews Scraper is your ultimate tool to retrieve the reviews directly from the Apple Store. With extremely capable information retrieval, the lowest price, and lightning speed, this actor is unbeatable. It's priced at just $0.10 per 1000 reviews!

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reviewbot/apple-review-scraper

Collect reviews from Apple App Store (iOS apps) with support for countries, ratings, and date filters. Extract rich review metadata including app version and titles. Designed for iOS developers, product teams, and market analysis.

reviewbot

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sourabhbgp/apple-app-store-scraper

Apple App Store data in 10 modes: app reviews (thousands per app per country), app details with ratings histogram, top charts, In-App Purchases, App Store events, similar apps, country availability matrix, developer portfolio, in-Store editorial, and search. 50+ countries. $2 per 1,000 rows, flat.

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scraper-engine/apple-app-store

Apple App Store Scraper collects publicly available data from the App Store, including app titles, descriptions, ratings, reviews, categories, and developer details. Use it for research, analytics, or large-scale app data collection with structured output.