Mobile Application Data Extraction
Budget: ₹1,500 – ₹12,500 INR
We are looking for an experienced mobile app scraping developer to build a robust and scalable solution for extracting detailed product data from the HungerStation mobile application (not the website).
Objective:
Extract the following data directly from the HungerStation mobile app across multiple geographical locations:
• Brand
• Category
• Product Name
• Size
• Selling Price
• MRP
• Discount %
• Product URL (if accessible)
• Image
• Stock Availability
• Date of Scraping
Search functionality by SKU and Category must be supported.
⸻
Phased Approach:
Phase 1 – Proof of Concept (POC):
• Demonstrate successful data extraction of the above fields from the HungerStation mobile app
• Handle authentication, location setting, and dynamic content loading
• Provide basic interface for testing different SKUs/categories
Phase 2 – Full Solution Delivery:
• Build a fully configurable scraper that works across multiple regions and cities
• Support for category/SKU filtering and scheduled runs
• Output data to structured format (e.g., CSV/JSON)
• Provide well-documented, maintainable code
• Include error handling, logging, and throttling to avoid detection
Objective:
Extract the following data directly from the HungerStation mobile app across multiple geographical locations:
• Brand
• Category
• Product Name
• Size
• Selling Price
• MRP
• Discount %
• Product URL (if accessible)
• Image
• Stock Availability
• Date of Scraping
Search functionality by SKU and Category must be supported.
⸻
Phased Approach:
Phase 1 – Proof of Concept (POC):
• Demonstrate successful data extraction of the above fields from the HungerStation mobile app
• Handle authentication, location setting, and dynamic content loading
• Provide basic interface for testing different SKUs/categories
Phase 2 – Full Solution Delivery:
• Build a fully configurable scraper that works across multiple regions and cities
• Support for category/SKU filtering and scheduled runs
• Output data to structured format (e.g., CSV/JSON)
• Provide well-documented, maintainable code
• Include error handling, logging, and throttling to avoid detection