Talent Market Listing Analyzer is a Python-based utility for parsing local HTML exports of job listings and converting them into structured CSV output for hiring market review.
This project is positioned as a recruiter-ready Python portfolio piece. It upgrades a simple web scraper concept into a more practical business-facing analysis tool that better fits recruiting operations, market research, talent intelligence, and hiring trend review workflows.
This project maps to practical workflows used by:
- Recruiting Operations Teams
- Talent Intelligence Workflows
- Hiring Market Research
- Workforce Planning Support
- Python Data Utility Development
A team may need to answer questions such as:
- Which roles are appearing most often in a job export?
- Which companies are hiring in specific markets?
- Which locations show the strongest activity?
- How can job listing data be turned into a structured CSV for review?
This utility is useful for local listing analysis, CSV generation, and portfolio demonstration of turning a fragile scraping concept into a cleaner market-analysis workflow.
- Local HTML Listing Parsing
- Structured Title, Company, And Location Extraction
- CSV Export
- Listing Summary Output
- Company And Location Counts
- Lightweight Python CLI Workflow
- Python
- BeautifulSoup
- pandas
MarketListingAnalyzer.pyrequirements.txtsample_job_board.htmlREADME.md.gitignore
pip install -r requirements.txt