App-only prices, captured from the right postcode.
In quick commerce, food delivery and ride-hailing, the app is the storefront and the website shows little or nothing. We collect data from mobile apps using emulated devices pinned to specific locations, so you see the prices, fees and availability real customers see.
Many regional delivery and quick-commerce platforms publish their full range, prices and fees only inside the app. Those values vary by delivery zone, store assignment and time of day, so a single web check gives a misleading picture.
You get a structured, location-specific view of the app experience across the zones that matter to you. Differences in price, delivery fee, minimum order and availability between neighbourhoods become measurable rather than anecdotal.
Everything needed to run it in production.
Emulated device fleet
Mobile environments configured with standard device profiles, current app versions and locale settings.
Geo-pinned sessions
Each session is set to a precise coordinate or address, so results reflect a named delivery zone or dark store catchment.
App-only fields
Delivery fees, service fees, minimum order values, ETAs, surge indicators and in-app promotions captured alongside price.
Store and zone mapping
We record which store or kitchen served each location, building a map of zone coverage over time.
App update handling
When an app releases a new version, our monitoring detects parsing changes and engineers update the extraction.
Screenshot evidence
Optional screenshots are stored with each capture for audit, compliance or dispute purposes.
What lands in your systems.
| captured_at | app | zone | item | price | delivery_fee | eta_min | currency |
|---|---|---|---|---|---|---|---|
| 2026-06-11 19:00 | Q-comm App B | Dubai Marina | Fresh milk 2L | 10.50 | 0.00 | 15 | AED |
| 2026-06-11 19:00 | Q-comm App B | Al Barsha | Fresh milk 2L | 10.50 | 5.00 | 25 | AED |
| 2026-06-11 19:05 | Delivery App D | Riyadh Al Olaya | Chicken shawarma meal | 32.00 | 9.00 | 35 | SAR |
| 2026-06-11 19:10 | Q-comm App E | Singapore Tampines | Eggs 10 pack | 4.25 | 3.99 | 20 | SGD |
| 2026-06-11 19:15 | Delivery App F | Guadalajara Providencia | Pizza margherita large | 219.00 | 29.00 | 40 | MXN |
Illustrative rows. Your schema, field names and formats are agreed during scoping.
Who uses it, and for what.
Quick-commerce operators compare their basket prices against rivals zone by zone. Fee and minimum-order differences are visible alongside shelf prices.
Suppliers check which of their SKUs are listed in each dark store catchment. Range gaps by neighbourhood become clear before they turn into lost sales.
Restaurant groups monitor in-app promotions and featured placements by competitors. Campaign timing can be aligned with the windows when rivals are discounting.
Analysts track delivery fees, ETAs and zone coverage as indicators of platform strategy. Changes over time help explain shifts in market share.
- Scope. Tell us the sources, fields and frequency. We confirm feasibility within a day.
- Free sample. A real sample from your own target source, in your format.
- Build. Engineers build extractors tuned to each source. No generic templates.
- Validate. Automated and manual QA on every run before anything ships.
- Deliver and monitor. Scheduled delivery, monitored pipelines, fast fixes when sites change.
Related services
Industries that use it
Why not just scrape the website?
Many delivery and quick-commerce platforms show a limited or no catalogue on the web, and prices can differ from the app. Fees, ETAs and zone-specific availability are usually only visible in-app.
How do you set the location?
Each emulated session is pinned to a coordinate or address you specify, such as a neighbourhood centroid or a list of customer postcodes. We record the store that served each location for mapping.
What happens when the app updates?
App releases can change screens and data structures. Our monitoring detects parsing failures or unusual gaps, and engineers update the extraction, usually before the next scheduled run.
Is personal data collected?
No. We collect catalogue, price and service information shown to any customer in that zone, not data about other users. Test sessions use no real customer accounts.