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Extracted Job URLs (Data Science/AI Roles)
1. Data Engineer, Apple
2. AIML Researcher, Apple
3. Data Analyst Associate, JP Morgan
4. Data Scientist II, Yahoo
5. Data Analyst, State Street
6. Data Analyst, Smule
7. Data Scientist, Audible
8. Data Scientist, Reddit
9. Data Scientist, Gartner
10. Data Analyst, TikTok
You Should Know: Automating Job Applications & Data Extraction
1. Web Scraping Job Listings (Python)
import requests
from bs4 import BeautifulSoup
url = "https://lnkd.in/dibmCpPU"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
job_title = soup.find('h1').text
print(f"Extracted Job: {job_title}")
2. LinkedIn Automation (Selenium)
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
driver = webdriver.Chrome()
driver.get("https://www.linkedin.com/jobs")
search = driver.find_element("name", "keywords")
search.send_keys("Data Scientist")
search.send_keys(Keys.RETURN)
3. Bash Script for Job Alerts (Linux)
!/bin/bash curl -s "https://lnkd.in/dd2yQqWn" | grep -E "Data Analyst|Salary" > job_alert.txt mail -s "New Job Alert" [email protected] < job_alert.txt
4. Windows PowerShell: Extract Job Keywords
Invoke-WebRequest -Uri "https://lnkd.in/dh5GBECm" | Select-String -Pattern "Python|SQL|Machine Learning"
5. Automate Applying with cURL
curl -X POST -d "[email protected]" "https://jobs.apple.com/apply"
What Undercode Say
- Data Science job hunting requires automation (scraping, Selenium, cURL).
- Linux commands (
grep,curl,cron) help track new listings. - Windows users can use PowerShell for parsing job descriptions.
- Always verify if job URLs are active before applying.
Expected Output:
✅ Extracted job links
✅ Python/Selenium automation scripts
✅ Bash/PowerShell monitoring commands
✅ Ethical application tips
References:
Reported By: Saibysani18 Apple – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
