Indeed Job Scraping: Extract Job Listings with Python in 2026

Indeed hosts millions of job listings worldwide, making it a goldmine for job market analysis, salary research, and recruitment automation. This guide shows you how to extract job listings from Indeed using Python, handle pagination, and clean the data for analysis. What Data Can You Extract? From Indeed job listings, you can collect: Job titles and company names Salary ranges (when posted) Job descriptions and requirements Location and remote/hybrid indicators Posting dates and application links Company ratings and review counts Setting Up the Scraper import requests from bs4 import BeautifulSoup import json import time import csv import random from dataclasses import dataclass , asdict from typing import Optional @dataclass class JobListing : title : str company : str location : str salary : Optional [ str ] summary : str date_posted : str job_url : str source : str = " indeed " def create_session (): session = requests . Session () session . headers . update ({ " User-Agent " : " Mo