Solution
App-only data, extracted at scale
The most valuable competitive data lives inside mobile apps. Real-time prices, live inventory, delivery ETAs, app-only promotions. We extract it directly from the app layer and deliver it clean.
Some data only exists inside an app.
Quick-commerce delivery times. Live in-stock signals. App-exclusive promotions. Encrypted inventory feeds. Web scrapers cannot see any of it.
Mobile extraction is a different discipline, not a harder version of web scraping.
Apps hide their data behind encrypted API calls, device validation, certificate pinning, and runtime checks. Standard scrapers do not get past the front door.
We extract through the app layer, on your schedule.
iOS or Android, every market, in your format. You see clean records. You never see the engineering underneath.
App-layer access
We extract directly from the encrypted API layer that the app itself talks to, not the public web. The data your competitors thought was invisible.
Real-time pipeline
Cycles as low as every 15 minutes. Continuous monitoring catches every flash sale, ETA shift, and inventory move while it still matters.
Every geo, every device
Instrumented Android and iOS sessions, geo-routed to capture market-specific data. Same SKU in 30 cities is 30 parallel extractions.
App data is not a harder version of web data. It is a different category, and the half of the market your web pipeline does not see. Pricing, inventory, and promo decisions made without it are made on incomplete data.
How it works
The extraction pipeline
From target spec to your warehouse, every mobile app record passes through these stages. You see the output. We run everything in between.
Target spec
App, market, endpoint, and cadence locked from your pilot scope.
Device pool
Instrumented Android and iOS sessions, geo-routed and warm.
Network capture
Signed requests replayed at cadence with TLS-fingerprint match.
Validation
Schema, range, deduplication, and anomaly checks before delivery.
Delivery
CSV, JSON, REST, or direct push to your warehouse, in your spec.
Where the data lives
App categories we extract from
Mobile App Data Extraction flows through every surface where buyers transact and decide. Here is the landscape we cover.
Quick commerce apps
Live ETAs, in-app pricing, dark-store inventory
E-commerce shopping apps
App-only deals, dynamic catalog, member pricing
Food delivery apps
Restaurant menus, surge pricing, promo bundles
Travel and ride-hail apps
Fare quotes, surge multipliers, route availability
Hotels and OTA apps
Member-rate pricing, room inventory, dynamic packages
Fintech and banking apps
Public rate cards, product offers, fees
Streaming and content apps
Catalog, regional licensing, pricing tiers
Data landscape
The data we extract
From app extraction to your warehouse, in your schema, on your schedule. We handle the device pools, signed requests, and continuous monitoring. You receive a finished feed.
Pricing
List price, member price, sale price, currency, geo, time of capture
Inventory
In-stock status, SKU-level availability, location-mapped, stock level where exposed
Delivery
ETA in minutes, distance, surge multiplier, slot availability, dark-store coverage
Promotions
Voucher code, type, discount value, time window, eligibility, bundle structure
Catalog
SKU ID, title, category path, attributes, variants, images, descriptions
Reviews
Star rating, review text, reviewer ID, timestamp, photo flag, verified-buyer flag
Identity-bound data
Member tier, segment, geo, language, app version (where exposed)
This is a representative sample of the data we extract. We customize every extraction to your exact requirements. If you need a data point not listed here, we will add it to your pipeline.
Sample output
What a single record looks like
This is a representative payload from a real mobile app extraction job. Field names, schema, and delivery format are scoped to your spec at pilot time.
{
"extracted_at": "2026-04-28T14:23:15Z",
"source_type": "quick_commerce_app",
"geo": {
"country": "IN",
"city": "Bengaluru",
"lat": 12.9716,
"lng": 77.5946
},
"sku_id": "QC-7842091",
"product": {
"name": "Amul Gold Toned Milk 1L",
"category": "Dairy",
"brand": "Amul"
},
"pricing": {
"list_price": 72.00,
"sale_price": 68.00,
"currency": "INR"
},
"availability": {
"in_stock": true,
"stock_level": "high",
"delivery_eta_minutes": 12
},
"promotions": [
{
"type": "voucher",
"code": "FRESH20",
"discount_percent": 5
}
]
}Schema
Field-level reference
Every record conforms to a stable schema. Your engineering team can integrate against this spec before the pilot starts.
extracted_atISO 8601UTC timestamp of capture2026-04-28T14:23:15Zextracted_atISO 8601UTC timestamp of capture
2026-04-28T14:23:15Zsource_typeenumApp category identifierquick_commerce_appsource_typeenumApp category identifier
quick_commerce_appgeo.countryISO-3166Two-letter country codeINgeo.countryISO-3166Two-letter country code
INgeo.citystringCity of captureBengalurugeo.citystringCity of capture
Bengalurugeo.lat / geo.lngnumberGeo of the request origin12.9716 / 77.5946geo.lat / geo.lngnumberGeo of the request origin
12.9716 / 77.5946sku_idstringSource-platform SKU identifierQC-7842091sku_idstringSource-platform SKU identifier
QC-7842091product.namestringDisplay name as shown in-appAmul Gold Toned Milk 1Lproduct.namestringDisplay name as shown in-app
Amul Gold Toned Milk 1Lpricing.list_pricenumberPre-discount price72.00pricing.list_pricenumberPre-discount price
72.00pricing.sale_pricenumberActive selling price68.00pricing.sale_pricenumberActive selling price
68.00pricing.currencyISO-4217Currency codeINRpricing.currencyISO-4217Currency code
INRavailability.in_stockbooleanAvailable at this geo right nowtrueavailability.in_stockbooleanAvailable at this geo right now
trueavailability.delivery_eta_minutesnumberPromised delivery window in minutes12availability.delivery_eta_minutesnumberPromised delivery window in minutes
12promotions[]array<object>Active promo objects (vouchers, bundles, free shipping, etc.)[{type, code, discount_percent}]promotions[]array<object>Active promo objects (vouchers, bundles, free shipping, etc.)
[{type, code, discount_percent}]Delivery formats
How you receive the data
You define the format. We handle the rest.
Use cases
How teams put mobile app data to work
From pricing teams to category managers to operations leads, here are the most common ways mobile app data drives decisions.
Real-time price tracking
Capture in-app prices as they update, including app-exclusive prices, member rates, and dynamic pricing not visible on the web.
Live inventory and availability
Monitor which SKUs are in stock, at which locations, in real time. The same product can be available in one app and not the other.
Delivery ETAs and SLAs
Track how fast competitors deliver in every city. Dark-store coverage, surge moments, last-mile lag, all measurable for the first time.
App-only promotions
Banners, voucher codes, bundles, member-tier offers that never appear on the web. The promo your competitor ran for 4 hours on Wednesday, captured.
In-app reviews and ratings
Star ratings, written reviews, response times. Often the highest-volume review surface for a product.
Mobile-exclusive catalog
New launches, regional SKUs, app-first listings. Product strategies tested in-app before they reach the web.
Tech specs
What we run at scale
Every mobile app engagement runs against these baseline specs. Your scope can move freshness, throughput, or geo coverage to whatever you need.
15 min
Minimum extraction cycle
100M+
Records delivered per day
99.9%
Pipeline uptime
100+
Cities and geos covered
<5 min
p95 delivery latency post-extract
99%+
Records passing validation
Challenges
Why mobile app data extraction is hard
If extraction were easy, you would do it yourself. Here is why it is not.
The data is not in the HTML
Apps assemble screens from encrypted API responses. There is no page to scrape. You have to find and replay the calls themselves.
Apps refuse to talk to anything that is not a phone
Certificate pinning, device attestation, app integrity checks, signed requests. Standard tools fail at every layer.
App updates break everything silently
A competitor pushes a new build on Monday. Endpoints rename, payloads shift, signing logic changes. If nobody is watching, your data stops on Monday and you find out on Friday.
Scale needs a device farm, not a server farm
Some platforms only respond to traffic that originates from a real device fingerprint. Cloud emulators get blocked. We run instrumented device pools.
Geography multiplies the problem
App responses change by GPS, SIM country, language. Monitoring one platform across 30 cities means 30 location-verified app sessions running in parallel.
Why us
Why Clymin for mobile app
We are not a tool. We are the team you call when the data matters too much to get wrong.
We solve what others can't
Mobile app extraction is the highest-difficulty corner of this market. It is where we started, and it is what built our reputation.
We prove it before you pay
Free pilot on your apps. We deliver sample data within 1-3 days, on your sources, against your data spec. You evaluate before any commitment.
You pay only for data delivered
Per record, no setup fees, no per-app charges, no platform fees. One metric: cost per record. If we don't deliver, you don't pay.
Your identity stays protected
We do not display client logos or name-drop. Competitive intelligence is sensitive. Your competitors should never know you are watching.
100B+
Data points extracted
24/7
Pipeline uptime
Real-time
Data delivery
100K+
Points of interest covered
Proven at enterprise scale. We operate continuous competitive intelligence infrastructure for one of the world's largest quick commerce platforms.
Industries served
Who buys mobile app data
The verticals where mobile app extraction creates the most leverage.
See app data your team has never seen
Tell us which apps. We deliver pilot data within 1-3 days, no commitment.
FAQ
Mobile App Data Extraction data extraction FAQ
Most. We work with iOS and Android apps across consumer, B2B, and fintech categories. Apps with extreme device-binding, like banking apps with biometric session locks, we evaluate case by case. The free pilot tells you the answer for your specific app.
Through runtime instrumentation on managed device environments. The engineering detail lives on our capabilities page. The short version: we treat each app like its own infrastructure problem and solve it.
We monitor every app continuously for endpoint, payload, and signing changes. When a build pushes a breaking change, automated fallbacks kick in and our team patches the pipeline within hours. You do not see downtime.
Both. Most engagements are Android-led because the tooling is more mature, but where iOS-only data matters (members-only pricing on certain apps, for example) we run iOS in parallel.
As fresh as you need. We run extraction cycles as low as every 15 minutes. Some customers refresh selected SKUs continuously; others run hourly or daily.
CSV, JSON, REST API, or direct push to your data warehouse: BigQuery, Snowflake, Redshift, S3. You define the schema. We deliver to your spec.
We extract publicly available data. We do not extract authenticated user-level data without explicit account ownership. Use of extracted data is the customer's responsibility under their jurisdiction.