Building a Job Market Tracker: Aggregate LinkedIn, Indeed, and Glassdoor Data

Job market data from multiple platforms reveals salary trends, in-demand skills, and hiring patterns that no single source can show. Here's how to build a multi-source job market tracker with Python. Why Track Multiple Job Platforms? Salary intelligence : Compare compensation across sources Skill demand : Track which skills appear most in job postings Market timing : Identify hiring surges and freezes Geographic trends : See where jobs are concentrating Company analysis : Track which companies are hiring aggressively Architecture: Multi-Source Aggregator import requests from bs4 import BeautifulSoup import pandas as pd import json import time from abc import ABC , abstractmethod from datetime import datetime class JobScraper ( ABC ): """ Base class for job platform scrapers. """ def __init__ ( self ): self . session = requests . Session () self . session . headers . update ({ ' User-Agent ' : ' Mozilla/5.0 (Windows NT 10.0; Win64; x64) ' , }) @abstractmethod def search_jobs ( self , qu