Extract Job Listings from Indeed — Python Tutorial 2026

Indeed is the world's largest job search engine with 250M+ monthly visitors. Here's how to extract job listing data programmatically.

Why Scrape Indeed?

• Market salary analysis
• Job demand trends
• Recruitment automation
• Competitive intelligence

Quick Start with Apify

Use the Indeed Job Scraper on Apify — no coding needed. Just enter keywords and location, get structured JSON back.

Python Method

import httpx
from bs4 import BeautifulSoup

def search_indeed(keyword, location):
    url = f"https://www.indeed.com/jobs?q={keyword}&l={location}"
    resp = httpx.get(url, headers={ "User-Agent": "Mozilla/5.0" })
    soup = BeautifulSoup(resp.text, "lxml")
    jobs = []
    for card in soup.select(".job_seen_beacon"):
        title = card.select_one(".jobTitle")
        company = card.select_one(".companyName")
        if title and company:
            jobs.append({
                "title": title.get_text(strip=True),
                "company": company.get_text(strip=True),
            })
    return jobs

What Data You Can Extract

• Job title and description
• Company name and rating
• Salary range
• Location
• Posting date
• Application link

Best Practices

• Use polite delays between requests
• Rotate user agents
• Consider using a proxy service
• Check Indeed's terms of service

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Comments

[Luis Cruz]

I appreciated the mention of best practices, particularly the use of polite delays between requests and rotating user agents, as these are crucial for avoiding IP blocking when scraping Indeed. The provided Python method using httpx and BeautifulSoup is straightforward, but I'd like to add that handling pagination and extracting additional data points like salary ranges and job descriptions could further enhance the script. The use of a proxy service, as suggested, can also help mitigate potential issues with Indeed's terms of service. Have you considered exploring more advanced techniques, such as using Selenium for more complex scraping tasks or integrating with other data sources for a more comprehensive job market analysis?