Extract app listings, reviews, ratings, rankings, keyword positions, and download signals from the Apple App Store and Google Play Store across every country. The data layer for ASO teams, mobile market researchers, and competitive intelligence platforms.
App Store data scraping is the automated collection of structured metadata, performance metrics, and user-generated content from the Apple App Store and Google Play Store. Each app listing is a rich data source: title, description, screenshots, developer information, version history, pricing model, rating distributions, thousands of individual user reviews, chart positions in multiple categories and countries, and keyword ranking data across App Store Optimisation (ASO) queries. Scraping this data systematically โ at scale and on a schedule โ gives mobile publishers, researchers, and intelligence platforms unprecedented visibility into the app economy.
The app stores collectively list over eight million applications. At this scale, manual monitoring of competitors or market trends is completely impractical. App store data scraping solves this by automating the continuous collection and normalisation of data across whichever apps, developers, categories, or keyword sets matter to you. You can monitor a handful of direct competitors or track an entire app category across every major market simultaneously.
DataFlirt's app store scrapers handle both the Apple App Store (iOS) and Google Play Store (Android) and normalise the data into a unified schema โ so you can analyse cross-platform performance without wrestling with format differences. We support country-specific collection across all available store locales, enabling you to track how an app ranks or what its reviews look like in the US, UK, India, Germany, Japan, and anywhere else the stores are available.
Beyond basic metadata, our app store scraping captures derivative intelligence: rating velocity (how quickly ratings are being submitted), update cadence patterns, keyword ranking movements over time, chart position trajectories, and revenue tier signals derived from top grossing chart positions. This transforms raw store data into the kind of forward-looking intelligence that drives ASO strategy and competitive decisions.
Comprehensive extraction built for reliability, accuracy, and scale.
Scrape titles, descriptions, screenshots, preview videos, developer info, version history, file size, age rating, and permission lists.
Extract individual reviews with star ratings, review text, reviewer metadata, developer responses, helpful votes, and review dates at scale.
Track app chart positions across top free, top paid, top grossing, and category-specific charts in every country market.
Monitor ASO keyword rankings across stores and country markets to power keyword strategy and track optimisation results.
Estimate downloads and revenue trajectory from chart position signals, install brackets, and top grossing rankings.
Automated alerts when competitor apps update their listings, add new screenshots, change pricing, or shift in chart positions.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data โ reliably.
{ "status": "success", "store": "google_play", "scraped_at": "2025-03-14T08:00:00Z", "app": { "id": "com.notion.id", "name": "Notion - Notes and Docs", "developer": "Notion Labs, Inc.", "category": "Productivity", "rating": 4.4, "review_count": 347820, "installs": "50M+", "version": "3.18.1", "last_updated": "2025-03-12", "price": "Free", "chart_rank": { "category": 4, "overall_free": 18 }, "keywords": ["notes","productivity","docs"] } }
Built on proven open-source tools and cloud infrastructure โ no vendor lock-in.
Country-specific store scraping across all available locales for both App Store and Play Store with locale-accurate data.
Country-matched proxies ensure we retrieve store data as seen by users in each target market โ critical for accurate chart positions.
Paginated review scraping handles apps with millions of reviews, with incremental updates to only collect new submissions.
Daily snapshots of chart positions build historical trajectories enabling trend analysis and momentum detection.
Intelligent diff-based monitoring flags listing changes: new screenshots, description updates, rating shifts, and version bumps.
iOS and Android data normalised into identical field names and formats for frictionless cross-platform analysis.
From solo analysts to enterprise data teams โ here's how organizations use this data.
With millions of apps competing for attention in a handful of chart positions and keyword slots, intelligence is your edge. DataFlirt gives ASO teams, mobile publishers, and market researchers a complete, structured view of any app's performance, user sentiment, and market position โ updated daily, normalised across both major stores, and ready to feed your strategy tools, competitive dashboards, and ML pipelines.
Start free and scale as your data needs grow.
For small teams and projects getting started with data.
For growing teams with serious data requirements.
For large organizations with custom requirements.
Everything you need to know before getting started.
Join data teams worldwide using DataFlirt to power products, research, and operations with reliable, structured web data.
