DATA ENGINEERING PIPELINE

Abstract

: This project entails the development of a robust data pipeline for OLX data leveraging Python. The pipeline employs web scraping techniques or OLX APIs for data extraction, followed by meticulous data transformation in Python to ensure data integrity and relevance. The processed data is stored in a chosen repository, utilizing Python libraries and frameworks for seamless integration. Automation and scheduling are implemented using Pythonscripts.The pipeline incorporates error-handling mechanisms, and data quality checks are enforced throughout the process. The Python-based pipeline not only provides an efficient and scalable solution for handling OLX data but also facilitates easy integration with popular analytics tools, empowering users to derive actionable insights for strategic decision-making. The OLX Data Pipeline ensures a systematic and efficient processing of JSON-encoded data, laying the groundwork for insightful analytics and informed decision-making based on the structured information within OLX listings .