Developed Python scripts for radio schedule management

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Developed Python scripts for radio schedule management

  • Day: 2023-08-03
  • Time: 20:40 to 20:55
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Web Scraping, Data Management, Beautifulsoup, CSV

Description

Session Goal

The goal of this session was to develop and execute Python scripts for web scraping and managing radio schedule data.

Key Activities

  • Developed a Python script using BeautifulSoup and requests to scrape schedule data from specified URLs.
  • Extracted names of people associated with programs from HTML descriptions using Python.
  • Implemented a Python code snippet to extract radio station names from URLs.
  • Created a Python one-liner to generate a list of URLs from radio names.
  • Saved radio schedules into a CSV file using Python’s built-in [[csv]] module.
  • Aggregated schedules from multiple stations into a single master list for easier identification and analysis.

Achievements

  • Successfully developed scripts to scrape, process, and save radio schedule data.
  • Enhanced data extraction techniques for program and station names.
  • Streamlined the process of generating and handling URLs for radio stations.

Pending Tasks

  • Validate the accuracy of the scraped and aggregated data.
  • Optimize the scripts for performance and error handling.

Evidence

  • source_file=2023-08-03.sessions.jsonl, line_number=1, event_count=0, session_id=dbe54df26d6107cf42baeed7ac4e4f0a924b89a9be8b9d854b162141bc5e1d12
  • event_ids: []

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