Developed a Python application that interacts with the OpenWeatherMap REST API to fetch real‑time weather data for multiple cities worldwide. The solution processes complex JSON responses, extracts relevant metrics (temperature, humidity, wind), and exports them into a clean, structured report.

Weather APIs return large, nested JSON structures that are difficult to interpret directly. The challenge was to build a robust pipeline that could handle API requests, manage credentials securely, and transform raw responses into actionable insights.

API Interaction: Used Python’s requests library to perform HTTP GET requests.

JSON Processing: Extracted key fields (temp, humidity, wind speed, description) and reformatted them into structured dictionaries.

Error Handling: Implemented safeguards for invalid API keys, HTTP errors (404/500), and unexpected JSON structures.

Credential Management: Stored API keys securely in config.py, excluded from version control.

Export: Serialized cleaned data into reporte_clima.json with human‑readable formatting.

Delivered a robust API integration tool that automates weather data collection and ensures reliability through error handling. The final output is a JSON report ready for analysis or integration into BI dashboards.

Automation: Eliminated manual weather data collection.

Reliability: Error handling ensured resilience against API failures or malformed responses.

Security: Credentials managed safely outside the main codebase.

Business Value: Provided structured weather insights for potential use in logistics, travel, or environmental monitoring.