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Android App Data
Assess eligible Android application experiences and Google Play metadata.
- Application version context
- Android device profiles
- Location-aware screens
- Eligible session flows
- Structured mobile records
- Google Play metadata
Home / Services / App Scraping
Android & iOS data collectionMobile App Data Scraping Services for Android & iOS
Turn eligible mobile application content into structured data for pricing intelligence, product monitoring, location analysis, market research, and application development.
✓ Android and iOS✓ Custom data schema✓ Location-aware collection✓ Quality validated
Android & iOSPlatform-specific assessment
Mobile-First SourcesApp-exclusive information
Location ContextMarket-aware collection
Custom SchemaFields mapped to your use case
Managed MaintenanceMonitoring for relevant changes
The service, explained
What is mobile app data scraping?
Mobile app data scraping is the process of collecting permitted information displayed within Android or iOS applications and converting it into structured records for analysis, monitoring, or integration.
Unlike standard website collection, mobile applications may present device-specific screens, session states, location-sensitive results, application versions, and data that never appears on a conventional website.
See Mobile Data Coverage →Target applicationAndroid or iOS
Mobile contextDevice, version, location
Field mappingCustom schema
Record validationRules and metadata
Structured deliveryREADY
Mobile-only visibility
Capture business information the website may not show.
Applications can present different assortments, offers, serviceability, delivery estimates, and location-specific experiences. Kvetoiq maps eligible mobile information into a stable data model.
01App-exclusive pricingMobile offers and discounts
02Local inventoryStore and location availability
03Delivery serviceabilityCoverage and estimated timing
04Mobile assortmentsProducts visible in app context
05Application-only listingsRecords absent from the website
06Device-specific contentAndroid and iOS experiences
Two distinct data layers
App marketplace intelligence and in-app business data.
Kvetoiq separates public app-listing metadata from the operational information displayed inside an application.
App marketplace dataIn-app business data
App name, description, category, and developerProducts, menus, listings, and service options
Ratings, reviews, and review countsPrices, promotions, fees, and availability
Version history and release notesLocation-sensitive assortments and inventory
Screenshots and published app informationDelivery estimates, zones, and mobile journeys
Apple App Store and Google Play visibilityEligible Android and iOS application experiences
Platform coverage
Purpose-built assessment for Android and iOS.
The technical path, application behavior, source context, and available fields can differ by operating system and version.
iOS
iOS App Data
Assess eligible iPhone and iPad experiences and Apple App Store metadata.
- Application version context
- iPhone and iPad profiles
- Location-sensitive content
- Eligible mobile journeys
- Structured mobile records
- App Store metadata
Mobile application categories
Structured data across mobile-first markets.
Each application is evaluated individually for feasibility, source conditions, intended use, and required fields.
FOOD
Food Delivery Apps
Menus, modifiers, prices, ratings, delivery fees, availability, and restaurant information.
Explore food data →QCOM
Grocery & Quick Commerce
Products, local assortments, availability, promotions, stores, and delivery estimates.
Explore grocery data →SHOP
Retail & Marketplace Apps
Catalogs, sellers, offers, stock, product content, reviews, and mobile promotions.
Explore retail data →TRIP
Travel & Booking Apps
Listings, routes, availability, amenities, ratings, and mobile-specific offers.
Explore travel data →HOME
Real Estate Apps
Properties, prices, agents, attributes, locations, media, and listing changes.
Explore real estate data →MOVE
Mobility & Ride Apps
Eligible public service areas, ride options, estimated fares, routes, and availability.
Explore mobility data →MED
Healthcare & Pharmacy Apps
Eligible public product, provider, availability, location, and marketplace information.
Explore healthcare data →FIN
Finance & Insurance Apps
Eligible public product information, rates, terms, listings, and market content.
Explore finance data →MEDIA
Media & Entertainment Apps
Public titles, categories, rankings, availability, metadata, and audience signals.
Explore media data →Data field coverage
Map the mobile fields your decisions depend on.
Your schema can combine application content, mobile context, location, source metadata, and validation status.
CAT
Products & Catalogs
Titles, descriptions, categories, variants, images, attributes, brands, and identifiers.
- Custom product schema
- Variant relationships
- Catalog normalization
PRICE
Pricing & Promotions
Current and original prices, discounts, coupons, memberships, and app-exclusive offers.
- Location-aware prices
- Offer conditions
- Collection timestamps
STOCK
Stock & Serviceability
Availability, inventory indicators, fulfilment methods, and serviceable locations.
- Store-level context
- Delivery eligibility
- Availability status
GEO
Location & Delivery
Stores, service zones, delivery areas, estimated timing, distance, and local results.
- Market context
- Location identifiers
- Service-zone mapping
★
Ratings & Reviews
Star ratings, review content, counts, dates, version references, and sentiment fields.
- Review metadata
- Trend analysis
- Sentiment enrichment
STORE
App Marketplace Metadata
Developer, category, version, release notes, ratings, reviews, screenshots, and published details.
- Google Play data
- Apple App Store data
- Version monitoring
Location-aware collection
See the mobile experience in the required market context.
Application results can change by country, region, city, store, delivery area, or selected location. Kvetoiq preserves relevant context alongside each record.
Market contextCountry, region, and city
Service contextStore, zone, or delivery area
Device contextPlatform and viewport
Record contextTimestamp and application version
Country / marketCity / regionStore / zoneDelivery location
How it works01 - DEFINE 02 - ASSESS 03 - MAP 04 - SAMPLE 05 - BUILD 06 - VALIDATE 07 - DELIVER 08 - MAINTAIN
From target application to maintained mobile data pipeline.
Clarify the use case
Identify the application, fields, locations, update needs, and downstream purpose.
Evaluate feasibility
Review source context, access conditions, technical behavior, and responsible-use requirements.
Map screens and fields
Document application states, mobile contexts, required fields, and schema rules.
Prepare representative data
Confirm available fields, record structure, location behavior, and validation expectations.
Engineer collection
Implement the agreed Android or iOS workflow, normalization, and exception handling.
Check record quality
Validate fields, types, context, duplicates, timestamps, and application metadata.
Connect your destination
Send structured data through files, APIs, webhooks, cloud, warehouses, or databases.
Monitor relevant changes
Track collection health and adapt to agreed application or schema changes.
Application update resilienceVersion monitoring Response-shape checks Navigation-state checks Schema regression testing Collection health signals Controlled maintenance
Maintain continuity as mobile applications change.
Updates can alter screens, navigation states, fields, application responses, and access behavior. Managed monitoring makes those changes observable.
Preserve application-version context where available.
Detect changes affecting mapped fields and structures.
Identify altered journeys or required mobile states.
Test expected fields, types, and completeness rules.
Surface failures, warnings, and unusual result patterns.
Update agreed workflows when relevant sources change.
Quality framework
Validate the record and its mobile context.
REQ
Required Fields
Flag missing business-critical values before downstream use.
TYPE
Schema & Type Checks
Validate field names, structures, formats, and allowed values.
GEO
Location Confirmation
Preserve the relevant market, store, zone, or delivery context.
DUP
Duplicate Detection
Identify repeated records and conflicting mobile identifiers.
TIME
Timestamp Validation
Record when information was collected and evaluated.
VER
Version Metadata
Retain platform and application version context where available.
STATUS
Record-Level Status
Separate valid records, warnings, and extraction exceptions.
QA
Review Options
Add targeted human review when ambiguous records require judgment.
Delivery and integration
Move mobile intelligence into your existing systems.
Choose the data format, delivery destination, completion model, and update schedule that fit your architecture.
CSVExcelJSONREST APIWebhookAmazon S3Google CloudAzureSnowflakeBigQuerySQL DatabaseAnalytics Platform
Business use cases
Turn mobile-first signals into measurable intelligence.
PRICE
Mobile Price Intelligence
Monitor eligible app prices, promotions, fees, and mobile-exclusive offers across locations.
Explore price monitoring →SHELF
Local Inventory Monitoring
Compare mobile assortments, availability, listing content, and fulfilment context.
Explore digital shelf →ZONE
Delivery-Zone Intelligence
Understand eligible service areas, stores, local assortments, and delivery availability.
Explore grocery data →MENU
Menu & Restaurant Intelligence
Structure menu items, modifiers, prices, ratings, availability, and delivery information.
Explore restaurant data →MOVE
Mobility Market Analysis
Collect eligible public ride options, service coverage, estimated fares, and availability.
Explore mobility data →TRIP
Travel Availability Intelligence
Analyze eligible listings, rates, availability, amenities, and mobile booking experiences.
Explore travel data →APP
App Marketplace Monitoring
Track public app listings, versions, reviews, ratings, screenshots, and developer metadata.
Explore brand protection →SEARCH
Mobile Search Visibility
Measure eligible in-app search positions, categories, placements, and discovery signals.
Explore share of search →CUSTOM
Mobile Competitor Benchmarking
Build a tailored dataset comparing relevant application experiences and market signals.
Explore custom extraction →Choosing an access approach
Use the most appropriate source for the data you need.
ApproachBest suited forPrimary limitation
Official APISupported data and approved workflowsMay expose only selected fields or use cases
Public websiteInformation visible in a browserMay differ from the mobile application
App marketplace dataApp metadata, versions, ratings, and reviewsDoes not provide operational in-app data
Managed app extractionEligible mobile-only business informationRequires application-specific feasibility assessment
Responsible mobile data collection
Mobile application data, scoped with care.
Kvetoiq evaluates the target application, source conditions, intended use, available access methods, privacy considerations, and data-minimization requirements before confirming feasibility.
✓Application-specific assessment
✓Public or appropriately authorized information
✓No collection of private user information
✓Controlled access and defined handling
Related services
Choose the collection model that fits your data source.
WEB
Web Scraping Services
Managed public website extraction.
Explore →CRAWL
Enterprise Web Crawling
Recurring multi-source collection.
Explore →API
Web Scraping API
Programmatic web data access.
Explore →AI
AI-Powered Scraping
Adaptive extraction for varied layouts.
Explore →LIVE
Live Crawler
On-demand data collection.
Explore →CUSTOM
Custom Data Extraction
Purpose-built multi-source datasets.
Explore →DATA
AI Training Data
Structured datasets for AI systems.
Explore →→
Feasibility Assessment
Review your target app and fields.
Discuss your project →Frequently asked questions
What teams ask about mobile app data scraping.
What are mobile app data scraping services?
They collect permitted information displayed within Android or iOS applications and convert it into structured records for analysis, monitoring, or integration.
How does mobile app scraping differ from web scraping?
Applications may use device-specific interfaces, mobile sessions, application versions, location-sensitive results, and data that does not appear on a conventional website.
Can Kvetoiq extract data from Android applications?
Eligible Android applications can be assessed based on source conditions, required fields, intended use, and technical feasibility.
Can Kvetoiq extract data from iOS applications?
Eligible iOS applications can be assessed separately because application behavior and feasible access can differ from Android.
What types of mobile application data can be collected?
Potential fields include products, prices, promotions, availability, listings, menus, delivery information, locations, ratings, reviews, and app marketplace metadata.
Can you collect mobile-only pricing and offers?
Mobile-exclusive or location-sensitive offers may be collected when they are available within an eligible application and the use case is approved.
Can mobile data be collected by location?
Depending on the application, collection may preserve country, region, city, store, service-zone, or delivery-location context.
Can you collect Google Play and Apple App Store data?
Yes. Public app titles, descriptions, developers, versions, release notes, ratings, reviews, screenshots, and other published metadata can be assessed.
How are application updates handled?
Managed workflows can monitor relevant version, navigation, response-shape, field, and schema changes and surface collection-health issues.
Can you collect data from apps requiring a login?
Only appropriately authorized workflows are considered. Kvetoiq does not collect private user information or claim unrestricted access to protected application areas.
How do you validate mobile application data?
Checks can cover required fields, types, formats, duplicates, timestamps, location context, application version, and custom business rules.
Which delivery formats are supported?
Common options include CSV, Excel, JSON, APIs, webhooks, cloud storage, warehouses, and databases.
Can you support recurring app monitoring?
Yes, subject to application feasibility and agreed source conditions, pipelines can support recurring collection and managed monitoring.
Is mobile app data scraping legal?
It depends on the application, information, jurisdiction, access method, agreements, and intended use. Legal review may be appropriate for a particular project.
How do we confirm whether an application is feasible?
Share the target application, platform, required fields, locations, update frequency, intended use, and preferred delivery destination for assessment.
Assess your target application
Turn mobile-only information into decision-ready data.
Share the Android or iOS application, required fields, locations, update frequency, and delivery destination. Kvetoiq will assess feasibility and map the appropriate collection workflow.