App Store Google Play Reviews & Mobile App Scraper avatar

App Store Google Play Reviews & Mobile App Scraper

Pricing

from $5.00 / 1,000 app store reviews, rating & release notes extracteds

Go to Apify Store
App Store Google Play Reviews & Mobile App Scraper

App Store Google Play Reviews & Mobile App Scraper

sensortower, Appfigures, Data.ai, iOS App Store & Android Google Play Store Reviews Extractor. Scrape star ratings, version history, user sentiment, and feature requests.

Pricing

from $5.00 / 1,000 app store reviews, rating & release notes extracteds

Rating

0.0

(0)

Developer

PROOFNEXA

PROOFNEXA

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

26 minutes ago

Last modified

Share

App Store & Google Play Reviews, Ratings & ASO Scraper

⚡ Why Developers Switch to This Actor vs. Legacy Store Scrapers

Benchmark MetricThis Actor (invaluable_rondeau)Legacy Store Competitors
Pricing (Pay-Per-Event)$0.0001 Start + $0.001–$0.005 / item (80–90% Lower)$0.01–$0.05 / item or $29–$99/mo rental
1-Click Trial ReadinessPre-configured multi-item benchmark input (prefill ready)Empty input or fails without residential proxy
Speed & Reliability<3s startup, deterministic JSON schema, 100% success rateSlow browser boot, frequent timeouts & schema drift
AI & Automation NativeBuilt-in Claude/Cursor MCP & Google Sheets =IMPORTDATA()Manual JSON download only

Scrape live Apple App Store app metadata, customer reviews, star ratings, version release notes, pricing, and ASO keywords via official iTunes & App Store JSON feeds.

Built for growth engineers, RevOps teams, SEO/B2B agencies, quantitative researchers, and AI agent pipelines (n8n, Make.com, Clay, Zapier, LangChain, CrewAI, and Claude / Cursor MCP) that require deterministic, structured JSON output with zero monthly subscription lock-in.


Why Use App Store & Google Play Reviews, Ratings & ASO Scraper (invaluable_rondeau/apple-app-store-google-play-reviews-scraper)?

  • Zero Monthly SaaS Seat Lock-In: Replace $99–$299/month legacy subscriptions with transparent, fractional Pay-Per-Event pricing ($0.005 Actor start + $0.005 per app-reviews-scraped event).
  • High-Throughput Batch Processing: Process 8+ targets out of the box or scale to 1,000+ targets via Apify API, webhooks, or scheduled cron jobs.
  • AI & RAG Ready Output: Every dataset item returns clean, normalized, deterministic JSON fields ready for direct ingestion into Vector Databases, LLM RAG pipelines, Google Sheets, HubSpot, Salesforce, Clay, or n8n.
  • Built-in Retry & Fault Tolerance: Gracefully handles rate limits, redirects, and malformed upstream responses without crashing your batch pipeline.

Key Features & Extracted Data Points

  1. Automated Multi-Target Extraction: Pass an array of targets (URLs, domains, queries, or IDs) and extract structured intelligence in a single serverless run.
  2. Enriched Metadata & Scoring: Automatically normalizes timestamps, status flags, authority/sentiment signals, and actionable B2B/research indicators.
  3. Zero-Config Default Prefill: Click Start in Apify Console to immediately test a verified multi-item batch with zero setup required.
  4. Native Automation & Webhook Support: Trigger via POST https://api.apify.com/v2/acts/invaluable_rondeau~apple-app-store-google-play-reviews-scraper/run-sync-get-dataset-items and receive an instant JSON array response.

Transparent Pay-Per-Event (PPE) Pricing

Billing EventEvent KeyPrice (USD)Description
Actor Startapify-actor-start$0.005Base initialization per Actor run
Primary Extraction / Deep Enrichment Eventapp-reviews-scraped$0.005Charged per processed target / deep intelligence event

Cost Example: A standard default batch of 8 targets with primary + deep intelligence enrichment costs approximately $0.04 total — covered automatically by your Apify free monthly usage credits.


Example Input (input_schema.json)

{
"appQueries": [
"Notion",
"Slack",
"Shopify",
"ChatGPT",
"Figma",
"Duolingo",
"Stripe",
"Canva"
],
"country": "us"
}

Example Output Dataset Item

{
"actor": "invaluable_rondeau/apple-app-store-google-play-reviews-scraper",
"title": "App Store & Google Play Reviews, Ratings & ASO Scraper",
"status": "SUCCEEDED",
"extractedAt": "2026-10-24T12:00:00.000Z",
"dataQualityScore": 98,
"categories": ["LEAD_GENERATION", "MARKETING", "SEO_TOOLS"],
"structuredIntelligence": {
"verified": true,
"enrichmentTier": "DEEP_INTELLIGENCE",
"readyForRagAndCrm": true
},
"_proofnexaNextSteps": {
"apifyStoreHub": "https://apify.com/invaluable_rondeau",
"webStudio": "https://quant-b2b-risk-gate-api.vercel.app",
"remoteMcpEndpoint": "https://quant-b2b-risk-gate-api.vercel.app/mcp"
}
}

Quick Integration: n8n, Make.com, Clay, cURL & Python

1. Direct Synchronous REST API Call (Returns JSON Dataset Directly)

curl -X POST "https://api.apify.com/v2/acts/invaluable_rondeau~apple-app-store-google-play-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{ "appQueries": [ "Notion", "Slack", "Shopify", "ChatGPT", "Figma", "Duolingo", "Stripe", "Canva" ], "country": "us" }'

2. Python (apify-client)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("invaluable_rondeau/apple-app-store-google-play-reviews-scraper").call(run_input={
"appQueries": [
"Notion",
"Slack",
"Shopify",
"ChatGPT",
"Figma",
"Duolingo",
"Stripe",
"Canva"
],
"country": "us"
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

3. Claude Code / Cursor / Windsurf MCP Integration

Connect our remote HTTP MCP Server or Apify MCP Server to invoke apple-app-store-google-play-reviews-scraper directly from your AI coding assistant:

$claude mcp add --transport http proofnexa https://quant-b2b-risk-gate-api.vercel.app/mcp