Enhanced Data Processing and SERP Scraper Refactor

2 min read

📅 2025-07-07 — Session: Enhanced Data Processing and SERP Scraper Refactor

🕒 00:25–00:45
🏷️ Labels: Data Processing, Serp Scraper, Python, Logging, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

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.

Graph View

Backlinks