Developed an automated data-collection feature for the d2cml-ai/Data-Science-Python repository, focusing on harvesting job listings from Bumeran.com.pe. Leveraging Python and Selenium, the solution navigated the listings page, gathered individual job URLs, and extracted structured data fields such as title, location, modality, and description from each job posting. The extracted information was exported to a CSV file, enabling streamlined ingestion for downstream analytics and market intelligence workflows. The work demonstrated proficiency in web scraping, data extraction, and CSV handling, delivering an end-to-end pipeline that enhanced the repository’s data acquisition capabilities without introducing bug fixes during the development period.