📱 App Store & Google Play Reviews Scraper

Ultra-fast, dual-platform customer review scraper for Apple App Store (iOS) and Google Play Store (Android). Extract star ratings, full review text, user names, app versions, developer replies, helpful vote counts, and verified developer support contact emails — with zero browser overhead and zero proxy costs.

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⚡ Key Features

• Dual-Platform in One Tool: Automatically detects and extracts reviews from both Apple App Store and Google Play Store via package IDs, numeric app IDs, or direct store URLs.
• Developer Contact Email Extraction: Scrapes verified developer support emails and official websites for B2B outreach and lead generation.
• Full Review Anatomy: Extracts review title, body text, star rating (1–5), submission timestamp, author name, app version, and helpfulness vote count.
• Developer Reply Tracking: Captures official developer responses and reply timestamps to monitor competitor customer support speed and quality.
• Sentiment & Star Rating Filtering: Filter reviews by star ratings (e.g. only 1–2 stars for competitor pain-point discovery, or 4–5 stars for positive testimonials).
• Zero Proxies & Zero Browser Needed: Runs lightning-fast in pure Python with 100% datacenter IP compatibility and zero blocking.

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📥 Input Parameters

Field	Type	Default	Description
appIdentifiers	array	WhatsApp, Spotify, Duolingo	List of Google Play package IDs (com.whatsapp), Apple App Store IDs (310633997), or direct store URLs.
maxReviewsPerApp	integer	50	Maximum customer reviews to extract per application (5 to 500).
country	string	"us"	Two-letter country code for store localization (us, gb, ca, de, fr, au, etc.).
sortBy	select	"most_recent"	Sort order: most_recent or most_relevant.
minRating	integer	1	Minimum star rating (1 to 5).
maxRating	integer	5	Maximum star rating (1 to 5). Set to 2 to scrape only negative feedback.
scrapeAppMetadata	boolean	true	Enrich with developer support emails, websites, and total rating counts.

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📤 Output Data Format (JSON)

{
  "platform": "Google Play",
  "app_id": "com.whatsapp",
  "app_name": "WhatsApp",
  "review_id": "0bb2619d-c5b1-4af1-b5ff-c663458481f6",
  "user_name": "Suresh Chandra",
  "rating": 5,
  "review_title": "good",
  "review_text": "Simple, reliable and great voice call quality even on low connectivity.",
  "review_date": "2026-10-27 15:46:18",
  "app_version": "2.26.40.76",
  "helpful_count": 0,
  "developer_reply_text": "",
  "developer_reply_date": "",
  "developer_name": "WhatsApp LLC",
  "developer_email": "android@support.whatsapp.com",
  "developer_website": "https://www.whatsapp.com",
  "app_average_rating": 4.3,
  "app_rating_count": 195000000,
  "app_category": "COMMUNICATION",
  "app_url": "https://play.google.com/store/apps/details?id=com.whatsapp&hl=en&gl=us"
}

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🎯 High-Value Use Cases

1. Competitor Pain Point & Churn Mining: Scrape 1-star and 2-star reviews of rival mobile apps to uncover bugs, missing features, and customer frustrations to exploit.
2. AI Sentiment & Topic Modeling: Feed thousands of customer reviews into LLMs (GPT-4o, Claude, Gemini) to automatically categorize bugs, feature requests, and UX bottlenecks.
3. App Developer B2B Lead Generation: Extract developer support emails and websites from thousands of top-ranking apps across Google Play and iOS App Store.
4. App Store Optimization (ASO): Benchmark version-by-version customer sentiment and track impact of major product updates.

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💰 Pay-Per-Event (PPE) Pricing

• Actor Start: $0.01
• Per Extracted Review: $0.002 ($2.00 per 1,000 enriched reviews)
• Proxy Cost: $0.00 (100% pure profit)