Job Title Mobile App Data Extraction – Bulk ETA & Product Listing (Quick Commerce App) Job Description I am looking for an experienced freelancer to help design and implement a solution to extract product listings and delivery ETA from a mobile-only quick-commerce app (Careem Quick). This is a read-only data extraction project focused on technical approach, performance, and scalability. Project Scope 1. Address-Based Product Listing Extraction Set/pass a delivery address (or latitude & longitude). Extract the available product catalog mapped to that address (dark store). Store results in a structured format: SKU / Product Name Category Price Availability 2. Address-Based ETA Extraction Capture the promised delivery time (ETA) shown in the app for a given address. Change the delivery address and capture the updated ETA. Highlight ETA differences across locations. 3. Bulk ETA Extraction (Key Requirement) Input: ~800 delivery addresses (or coordinates) Output: ETA for each address Performance SLA: Complete within 2–3 minutes end-to-end Technical Expectations App is mobile-only (no web version). Preferred approach: Capturing and using mobile app backend APIs (via traffic inspection / reverse engineering). UI automation (Appium, emulators) acceptable only if performance SLA can be met. Solution should support: Parallel/concurrent execution Retry & rate-limit handling Partial failure reporting Output should be exportable as CSV / JSON. Deliverables Working solution/script/workflow Sample output dataset Brief documentation explaining: Approach used Performance achieved Limitations (if any) Required Skills Mobile app scraping / reverse engineering API traffic inspection (Charles, Proxyman, mitmproxy, etc.) Android emulators / device automation Python / Node.js (or low-code scraping platforms) Experience with high-volume, low-latency data extraction Nice to Have Prior work with delivery / quick-commerce / food apps Experience handling geo-based logic (lat/lng → zone/store mapping) Budget & Timeline Budget: Open to discussion (fixed or hourly) Timeline: Fast turnaround preferred This can lead to future similar projects if delivered well When Applying, Please Include Brief explanation of how you would approach this Similar projects you’ve done (especially mobile apps) Tools you plan to use Expected time to deliver