Scraping Job Posting Quality: Identifying Red Flags in JDs

Not all job postings are created equal. Here's how to scrape job boards and automatically score posting quality to identify red flags. Why Analyze Job Posting Quality? Job seekers waste hours on poorly written listings that signal unrealistic expectations, toxic culture, ghost jobs, or salary manipulation. Automating this analysis saves applicants time. Setup import requests from bs4 import BeautifulSoup import pandas as pd import re import time import random SCRAPER_KEY = " YOUR_SCRAPERAPI_KEY " def fetch ( url ): resp = requests . get ( " http://api.scraperapi.com " , params = { " api_key " : SCRAPER_KEY , " url " : url , " render " : " true " }, timeout = 30 ) return BeautifulSoup ( resp . text , " html.parser " ) Scraping Job Listings def scrape_indeed_jobs ( query , location , pages = 5 ): jobs = [] for page in range ( pages ): start = page * 10 url = f " https://www.indeed.com/jobs?q= { query } &l= { location } &start= { start } " soup = fetch ( url ) cards = soup . find_all ( "