Building a Tech Salary Database with Job Posting Data

Building a Tech Salary Database with Job Posting Data Salary transparency laws have changed the game. Many job postings now include compensation ranges, creating an unprecedented opportunity to build comprehensive salary databases. Let's scrape and analyze this data. The Data Sources Several job boards now display salary ranges thanks to laws in Colorado, NYC, California, and Washington. Remote job boards with salary transparency are particularly valuable. Setting Up pip install requests beautifulsoup4 pandas sqlalchemy ScraperAPI handles JavaScript rendering and proxy rotation for job board scraping. Scraping Job Postings with Salary Data import requests from bs4 import BeautifulSoup import re API_KEY = " YOUR_SCRAPERAPI_KEY " def scrape_jobs ( query , location = " remote " , page = 1 ): url = f " https://www.indeed.com/jobs?q= { query } &l= { location } &start= { page * 10 } " params = { " api_key " : API_KEY , " url " : url , " render " : " true " } resp = requests . get ( " https:/