Extracting data from a mobile application

Max Bohomolov

Data Scraper
Data Analyst
Android
Burp Suite
Python

This project involved creating a Python package to extract valuable data from a mobile application. The goal was to develop a tool capable of efficiently collecting and structuring data for further analysis.

Key Challenges:

  • Mobile-Only Access: The project required working exclusively with the mobile application
  • Network Traffic Analysis: Detailed study and interpretation of the mobile application's internet traffic was necessary to understand data flow.
  • Complex Data Structures: Careful parsing and analysis of server response structures were required to extract relevant information.
  • Request Structure Replication: The need to accurately reproduce specific request structures to obtain target data.

Implementation Stages:

  1. Environment Setup:
    • Creation of a specialized environment for mobile application analysis, implementing a "man-in-the-middle" approach.
    • Configuration of tools for capturing and analyzing mobile application traffic.
  2. Application Behavior Analysis:
    • Detailed study and documentation of the application's request structures.
    • Analysis of server responses and data formats.
  3. Python Package Development:
    • Implementation of an HTTP client-based system emulating necessary application behavior.
    • Development of modules for parsing and structuring collected data.
  4. Data Collection Process:
    • Creation of algorithms for efficient data extraction from server responses.
    • Implementation of data structuring and JSON file storage functionality.
  5. User Interface and Documentation:
    • Development of a command-line interface (CLI) for easy interaction with the package.
    • Creation of comprehensive user documentation detailing package usage and functionality.
  6. Testing and Optimization:
    • Conducting thorough testing to ensure accuracy and reliability of data collection.
    • Optimization of code for improved performance and efficiency.

Project Outcomes:

The project resulted in a custom-developed Python package that successfully met the client's requirements. This package efficiently implements the necessary functionality to extract and process data from the mobile application. It emulates the required network interactions, handles complex data structures, and provides a streamlined process for collecting and storing the target information.

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