Enhanced Data Processing and SERP Scraper Refactor

• Day: 2025-07-07
• Time: 00:25 to 00:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Data Processing, Serp Scraper, Python, Logging, Pandas

Description

Session Goal

The session aimed to enhance data processing scripts with idempotency, persistence, and flexible execution modes, as well as refactor a SERP scraper for improved functionality and logging.

Key Activities

• Enhanced a data processing script to support idempotency, persistence, and flexible execution, making it cron-friendly.
• Refactored a SERP scraper to allow CSV input, output in CSV and JSONL formats, and integrated API for fetching search results. Improved logging and command-line operation.
• Implemented robust path handling in Python scripts using Pathlib to prevent errors related to file paths.
• Addressed the removal of the .append() method in pandas 2.0, providing alternative solutions for adding rows to a DataFrame.
• Reviewed the 01_serp_scraper.py script, enhancing its logging for better observability in the job search pipeline.

Achievements

• Successfully refactored the SERP scraper with enhanced logging and API integration.
• Improved data processing script design for idempotency and flexible execution.
• Implemented robust path handling to prevent file path errors.
• Provided solutions for pandas 2.0 breaking changes.

Pending Tasks

• Further testing of the enhanced data processing script in a live cron environment.
• Additional optimization and testing of the pandas DataFrame row addition methods.

Evidence

• source_file=2025-07-07.sessions.jsonl, line_number=1, event_count=0, session_id=9167d993b433d9e1d44437494845d43b7bddf30efdd8f0016ab11cbf9973de55
• event_ids: []