π 2024-01-23 β Session: Developed Python scripts for job search automation
π 03:05β03:50
π·οΈ Labels: Python, Web Scraping, Job Search, Automation, Data Processing
π Project: Dev
β Priority: MEDIUM
Session Goal
The session aimed to explore and develop Python scripts for automating job search tasks, focusing on web scraping and data processing techniques.
Key Activities
- Discussed the limitations of executing web searches directly from a Python script due to environmental constraints, suggesting a manual approach for job searches.
- Outlined a Python script for automated web searches using the
googlesearchlibrary, including setup instructions and ethical considerations. - Provided a Python function using the
urllib.parselibrary to extract domain names from URLs, aiding in processing job search results. - Developed a script to create a DataFrame from roles and domain names, mapping each role to its domains.
- Described a function to generate Indeed job search URLs for specified roles and locations, with examples for Buenos Aires and FlorianΓ³polis.
Achievements
- Successfully developed scripts and functions for automating job search tasks, including web search automation, domain extraction, and data processing.
Pending Tasks
- Further testing and validation of the scripts in real-world scenarios to ensure reliability and compliance with ethical guidelines.