Structured Data Handling and API Integration

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📅 2024-08-30 — Session: Structured Data Handling and API Integration

🕒 19:30–22:10
🏷️ Labels: Api Integration, Data Parsing, Python, Error Handling, Data Analysis
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance data parsing functions and improve API integration for efficient data handling and analysis.

Key Activities

  • Developed a Python function to analyze financing options with installment-based payment structures.
  • Outlined workflows for market analysis and data scraping, including error handling and modularization.
  • Resolved MercadoLibre API authorization errors and troubleshot localhost environment issues.
  • Improved code organization for API integration, focusing on error handling and modular programming.
  • Structured data from MercadoLibre API into relational tables using Python and SQLAlchemy.
  • Enhanced JSON parsing functions to capture unhandled data and implemented logging for robustness.
  • Developed parsing functions for e-commerce product attributes, organizing data into separate DataFrames.
  • Enhanced the parse_product function for safe access and error handling.

Achievements

  • Successfully improved data handling processes and API integration strategies.
  • Enhanced robustness and flexibility of data parsing functions.
  • Established a structured approach for organizing and storing data.

Pending Tasks

  • Further refine data parsing functions for additional product attributes.
  • Continue monitoring and optimizing API integration workflows.

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