Overview
We built this robust Indeed scraper for a labor market analytics firm. The goal was to aggregate millions of job postings to analyze salary trends, skill demand, and hiring velocity across different regions. By automating the data collection process, the client was able to produce quarterly market reports faster and with greater accuracy than their competitors.
Key Features
- Salary Data Extraction: Parses salary ranges (hourly, monthly, yearly) even when not standardized, normalizing them for analysis.
- Keyword Density Analysis: Scrapes full job descriptions to identify rising and falling demand for specific technical skills.
- Company Review Aggregation: Collects company rating and review data to correlate employer reputation with hiring difficulty.
- Deduplication Engine: Smart algorithms identify and merge duplicate listings for the same role, ensuring clean data sets.