Developed Python scripts for job search automation

• Day: 2024-01-23
• Time: 03:05 to 03:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Web Scraping, Job Search, Automation, Data Processing

Description

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 googlesearch library, including setup instructions and ethical considerations.
• Provided a Python function using the urllib.parse library 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 Florianópolis.

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.

Evidence

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• event_ids: []