Extract data from iOS and Android apps using API interception, Android emulation, and device farm automation. Capture in-app pricing, content feeds, and data that exists only in native mobile applications — not on any public website.
Mobile app data scraping is the extraction of structured data from native iOS and Android applications. Unlike websites, mobile apps do not expose their content through public URLs that standard web scrapers can access. Instead, apps communicate with backend servers via internal API calls — typically JSON or protobuf payloads transmitted over HTTPS. Mobile data extraction works by intercepting and analysing these API communications, capturing the structured data that flows between the app and its servers during normal use.
The significance of this capability is that a substantial and growing portion of the digital economy exists exclusively — or primarily — in mobile apps. Restaurant pricing on Zomato or Swiggy may differ from what appears on their websites. Ride-hailing surge pricing on Ola or Uber is only visible within the app. Hyperlocal grocery availability on Blinkit or Zepto varies by pin code in ways that are only accessible through app sessions. In-game economies, social feed algorithms, and financial product comparisons are all dimensions that only exist in native app form. Mobile data extraction unlocks this data layer.
DataFlirt's primary extraction method is HTTPS API interception — running the target app in a controlled environment, intercepting network traffic, and capturing the structured API responses. This is the cleanest and most scalable approach: it yields exactly the data the app displays to users, in structured JSON format, without requiring screen reading or UI automation. For apps that implement certificate pinning or other intercept countermeasures, we use SSL unpinning techniques on authorised test devices.
Where API interception alone is insufficient, we supplement with Android emulator automation — scripting user interactions in the app to navigate to specific content states and capture the resulting data. For apps that detect emulators, we operate device farms of real iOS and Android hardware. The combination of these techniques covers virtually any mobile app data extraction requirement.
Comprehensive extraction built for reliability, accuracy, and scale.
Capture structured JSON API responses from mobile apps by intercepting HTTPS traffic in controlled test environments — the cleanest path to app data.
Scripted UI automation in Android emulators navigates app flows, triggers content loads, and captures data from specific in-app states.
Physical device farms for apps requiring genuine device signatures, hardware attestation, or emulator detection countermeasures.
Certificate pinning bypassed on authorised test devices to intercept encrypted API traffic from apps that implement pinning as an anti-intercept measure.
Static analysis of app packages reveals API endpoint structures, data schemas, and feature flags — useful for pre-extraction planning and schema mapping.
Automated app sessions run on defined schedules to capture time-sensitive data: live pricing, feed rankings, and availability that changes with time or location.
Every field you need, structured and ready to use downstream.
A proven process that turns any source into clean structured data — reliably.
{ "status": "success", "method": "api_intercept", "app": "com.zomato.android", "scraped_at": "2025-03-20T08:00:00Z", "endpoint": "/api/v2/restaurant/menu", "payload": { "restaurant_id": "18411", "city": "Bengaluru", "item_count": 84, "categories": 9, "avg_price": 340, "currency": "INR" } }
Built on proven open-source tools and cloud infrastructure — no vendor lock-in.
mitmproxy-based interception captures all API traffic from mobile app sessions with full request/response logging and structured parsing.
Frida runtime instrumentation and Objection toolchain bypass certificate pinning on Android and jailbroken iOS test devices.
Appium-driven UI automation scripts navigate complex app flows, scroll feeds, and trigger lazy-loaded content states programmatically.
Fleet of real iOS and Android devices managed for apps requiring genuine hardware attestation or emulator detection countermeasures.
Apktool and jadx decompile APK binaries to map API endpoints, data schemas, and configuration flags before live extraction begins.
GPS location and device locale spoofed per session to capture geo-dependent pricing, availability, and content variations within apps.
From solo analysts to enterprise data teams — here's how organizations use this data.
As more of commerce, finance, and social interaction moves into native mobile apps, the gap between what is visible on the web and what exists in the app ecosystem widens. DataFlirt's mobile data extraction capabilities give you access to this exclusive data layer — the hyperlocal pricing, the in-app inventories, the algorithmic content rankings — that has no public web equivalent and can only be reached by going into the app itself.
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.
