Refinement of Job Data Processing and Prompt Engineering

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📅 2025-07-14 — Session: Refinement of Job Data Processing and Prompt Engineering

🕒 04:20–05:35
🏷️ Labels: Python, Web Scraping, Prompt Engineering, Job Data Processing, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to refine and enhance the job data processing scripts and templates used for web scraping, job posting analysis, and prompt engineering.

Key Activities

  • Corrected Python Script for JSONL Export: Fixed naming issues in the 05_export_jsonl_with_scraping.py script to ensure proper functionality for exporting scraped data to JSONL format.
  • Analysis of Spider-Scraped Markdown Outcomes: Evaluated the effectiveness of markdown scraping from job boards, identifying successes and areas for improvement.
  • Refined Jinja Prompt for Job Posting Analysis: Improved a Jinja prompt for filtering low-quality data in job postings, focusing on evidence-based classification.
  • Refined Job Page Evaluation Prompt: Developed a prompt for evaluating job-related webpages, emphasizing user value and structured analysis.
  • Job Posting Filtering and Screening Prompts: Created structured prompts for filtering and screening job postings, including criteria for quality evaluation.
  • Update Flow YAML for Prompt Fields: Updated input schema and prompt templates in YAML flow for clarity and accuracy.
  • Error Diagnosis for Input Schema Mismatch: Analyzed and provided solutions for input schema mismatches in PromptFlow.
  • Resolving PromptFlow CLI Issues: Addressed CLI connection issues with PromptFlow, providing troubleshooting steps.
  • Ensuring Determinism in Python Environment: Improved environment setup practices for determinism in Python scripts using PromptFlow.

Achievements

  • Enhanced the robustness and accuracy of job data processing scripts and templates.
  • Improved quality assessment and filtering mechanisms for job postings.
  • Resolved technical issues related to PromptFlow CLI and input schema mismatches.

Pending Tasks

  • Further testing of updated scripts and prompts in a production environment to ensure stability and performance.
  • Continuous refinement of job posting evaluation criteria based on feedback and new data insights.

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