App Store Reviews Scraper: All Countries + Analytics

Scrape Apple App Store reviews for any iPhone, iPad or Mac app across 76 country storefronts, with app details and ready-made review analytics. The actor uses Apple's official public customer-reviews feed and the official iTunes Lookup/Search API: no login, no cookies, no browser. Apple serves up to about 500 reviews per country and sort order, so scanning many countries and both sort orders collects far more reviews than a single-store scraper.

Why this scraper

• Many countries in one run. Pick storefronts (us, gb, de, jp …) or enable all 76 major countries. Reviews are de-duplicated automatically.
• More reviews per country. The both sort option combines most-recent and most-helpful reviews, giving up to about 2× more unique reviews.
• App details included: overall rating, rating count, current version, release notes, price, genre, developer, size, languages and the App Store URL.
• Analytics out of the box: rating histogram, % negative reviews, average rating by app version (spot bad releases), by country and by month, plus top complaint keywords (1–2★) and top praise keywords (4–5★).
• Flexible input: App Store URLs, numeric IDs, bundle IDs (com.burbn.instagram) or plain app names.
• Filters: star rating range (for example, only 1–2★ reviews), a "since" date and a max reviews limit.
• Fast and cheap: about 2,000 reviews in about 10 seconds, at $0.15 per 1,000 reviews.

Use cases

• Product and UX teams: find what users complain about after each release.
• Competitor research: compare ratings and complaints for competing apps across markets.
• App Store Optimization (ASO): mine review keywords and track rating trends by country.
• Customer support and QA: catch crash or login complaints early, filtered by version.
• AI / LLM pipelines: feed clean review text to sentiment analysis, topic clustering or RAG.
• Market research: see how an app is received in different countries.

Input

Field	Description	Default
apps	App Store URLs, app IDs, bundle IDs or app names	WhatsApp (sample)
countries	Two-letter storefront codes	["us"]
allCountries	Add 76 major storefronts	false
maxReviewsPerApp	Maximum reviews per app (all countries combined)	50
sortBy	mostRecent, mostHelpful or both	mostRecent
reviewsSince	Only reviews on or after this date	–
minRating / maxRating	Star rating filter	1 / 5
includeAppDetails	Save app details and analytics (APPS record)	true
concurrency	Parallel requests	4

{
  "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "com.burbn.instagram", "Notion"],
  "countries": ["us", "gb", "de", "fr", "jp"],
  "maxReviewsPerApp": 2000,
  "sortBy": "both"
}

Output

Dataset: one record per review.

{
  "appId": "310633997",
  "appName": "WhatsApp Messenger",
  "developer": "WhatsApp Inc.",
  "country": "us",
  "reviewId": "14707841268",
  "rating": 1,
  "title": "WhatsApp tiene problemas",
  "text": "De un tiempo para acá mi WhatsApp en iPhone 16 Plus ...",
  "appVersion": "26.41.75",
  "date": "2026-10-24T19:31:13-07:00",
  "userName": "Trébol ink",
  "voteSum": 0,
  "voteCount": 0,
  "appStoreUrl": "https://apps.apple.com/us/app/id310633997"
}

APPS key-value record: one entry per app with details (rating, rating count, version, price, genre, developer …) and analytics: averageRating, ratingHistogram, negativeShare, byVersion, byCountry, byMonth, topComplaintKeywords and topPraiseKeywords.

Pricing (pay per event)

Event	Price
Actor start (per run)	$0.005
Review saved	$0.00015 (= $0.15 per 1,000 reviews)
App details and analytics (per app)	$0.003

10,000 reviews for one app across many countries cost about $1.51. Set a maximum cost per run, and the actor stops cleanly at your limit while keeping the results collected so far.

FAQ

Is this legal? The actor reads Apple's public RSS review feed and the public iTunes Search/Lookup API, the same public data anyone sees on the App Store. It doesn't log in or bypass any protection. Use the data in line with privacy rules (reviewer nicknames are public pseudonyms).

Why at most ~500 reviews per country? That is the limit of Apple's public feed per storefront and sort order. Add more countries, or use sortBy: both, to get more.

Does it support Google Play? Not yet. This actor covers the Apple App Store (iOS, iPadOS and macOS apps).

Need app search, top charts or keyword ranks? Use App Store Scraper - Search, Top Charts & Keyword Ranks.

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中文说明

这个工具做什么

抓取苹果 App Store 上任意 iPhone、iPad 或 Mac 应用的用户评论，最多可覆盖 76 个国家/地区的商店，同时附带应用详情和现成的评论分析。数据来自苹果官方公开的评论 RSS 接口和官方 iTunes Lookup/Search API，无需登录、无需 Cookie、无需浏览器。苹果每个国家、每种排序最多提供约 500 条评论，所以同时扫描多个国家和两种排序，能拿到比只抓单个商店多得多的评论。

主要特点

• 一次运行覆盖多个国家，或开启"全部 76 个主要国家"，评论自动去重
• both 排序同时抓取"最新"和"最有帮助"两种评论，每个国家最多可多拿约一倍
• 应用详情：总评分、评分人数、当前版本、更新说明、价格、分类、开发者、大小、支持语言
• 自动分析：星级分布、差评占比、按版本的平均分（用来发现有问题的版本）、按国家和按月份的平均分、差评高频词和好评高频词
• 输入灵活：App Store 链接、数字 ID、bundle ID 或应用名称都可以
• 可按星级、日期、最大数量过滤
• 速度快、价格低：约 10 秒抓取约 2000 条，每 1000 条 $0.15

适用场景

• 产品和用户体验团队：了解每个版本发布后用户在抱怨什么
• 竞品分析：跨国家对比竞品的评分和差评内容
• ASO（应用商店优化）：挖掘评论关键词，跟踪各国评分趋势
• 客服和测试：按版本筛选，尽早发现闪退、登录等问题
• AI/大模型：为情感分析、话题聚类、RAG 提供干净的评论文本

输入参数

• apps：App Store 链接、应用 ID、bundle ID 或应用名称（必填）
• countries：国家代码，例如 us、gb、de、jp（默认 us）
• allCountries：加入全部 76 个主要国家（默认关闭）
• maxReviewsPerApp：每个应用最多抓多少条（所有国家合计，默认 50）
• sortBy：最新、最有帮助或两者都要
• reviewsSince：只抓这个日期之后的评论
• minRating / maxRating：星级范围（例如只抓 1-2 星差评）
• includeAppDetails：是否保存应用详情和分析结果（默认开启）

输出

• 数据集：每条评论一条记录，包含应用、国家、星级、标题、正文、应用版本、日期、用户昵称、有用票数
• APPS：每个应用的详情和分析（星级分布、差评占比、按版本/国家/月份的平均分、差评和好评关键词）

价格（按事件计费）

• 每次运行启动：$0.005
• 每保存一条评论：$0.00015（每 1000 条 $0.15）
• 每个应用的详情和分析：$0.003

可以设置单次运行的费用上限，达到上限后工具会正常停止并保留已有结果。

常见问题

• 合法吗？ 只读取苹果公开的评论 RSS 和 iTunes 公开 API，和任何人在 App Store 上看到的数据相同，不登录、不绕过任何限制。评论者的昵称是公开的化名，使用时请遵守隐私相关规定。
• 为什么每个国家最多约 500 条？ 这是苹果公开接口的限制（每个国家、每种排序约 500 条）。想要更多，就多选几个国家，或使用 sortBy: both。
• 支持 Google Play 吗？ 暂不支持，本工具专门针对苹果 App Store。

pandabear 的其他工具

• App Store Scraper - Search, Top Charts & Keyword Ranks：按关键词、排行榜、分类或开发者抓取苹果应用数据，并跟踪 ASO 关键词排名
• Bulk WHOIS & Domain Availability Checker：批量查询域名注册商、注册和到期日期、域名年龄、是否可注册以及 DNS
• Sitemap Extractor & SEO Index Audit：提取网站全部 sitemap 网址，找出 404、noindex、canonical 等问题
• Wayback Machine URL Extractor & Lost Page Finder：提取域名的历史网址，找出丢失页面并给出 301 重定向建议
• Website Contact Scraper：从网站列表中提取邮箱、电话、社交媒体链接、公司信息和技术栈
• Trending Topics Scraper：汇总 Google Trends、Hacker News、维基百科、GitHub、Bluesky、百度热搜等平台的热门话题，附热度分和跨平台聚类