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Nishkarsh Pandey
Nishkarsh Pandey

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🤖 Google Dorking for Job Hunting: Automate the Hunt & Real-World Results (Part 3)

#jobhunting #googlehacks #scraping #devtools

💡 You’ve learned how to craft powerful dorks. Now it’s time to automate the grind and start collecting real job leads like a pro.

⚡ What This Post Covers
Real-world job dorking examples.
How to automate alerts with Google.
A simple Python script to scrape public job links.
How to stay ethical & efficient.

🔎 Real-World Dorking: Success Stories
🧑‍💻 Example 1: Startup Job PDF on AngelList

site:angel.co intitle:"we are hiring" filetype:pdf
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→ Revealed a hidden remote developer PDF job description.

🏛️ Example 2: Internship Sheet on University Site

site:.edu intitle:"internship opportunities" filetype:xls
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→ Found an Excel sheet listing 50+ internship roles.

📬 Automate With Google Alerts
Go to Google Alerts
Paste your custom dork, e.g.:

site:github.com intitle:"hiring" filetype:pdf
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Set how often you want updates (daily/weekly).
Sit back and let Google email you hidden job leads.

🐍 Automate Dorking with Python (Public URLs Only)
Here’s a basic script to automate your Google Dorking efforts and extract job links from search results.

⚠️ This script scrapes public Google Search results. Avoid scraping Google aggressively — always respect rate limits and terms.

import requests
from bs4 import BeautifulSoup
import urllib.parse
import time

def google_dork_search(query, pages=1):
    headers = {'User-Agent': 'Mozilla/5.0'}
    base_url = "https://www.google.com/search?q="
    results = []

    for page in range(pages):
        start = page * 10
        url = f"{base_url}{urllib.parse.quote_plus(query)}&start={start}"
        res = requests.get(url, headers=headers)
        soup = BeautifulSoup(res.text, "html.parser")

        for g in soup.find_all('div', class_='tF2Cxc'):
            link = g.find('a', href=True)
            if link:
                results.append(link['href'])

        time.sleep(2)  # Respectful delay

    return results

# Example use
dork = 'site:nasa.gov intitle:"careers" filetype:pdf'
results = google_dork_search(dork, pages=2)

for i, url in enumerate(results, 1):
    print(f"{i}. {url}")
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🧠 Tips to Stay Ethical and Effective

Avoid scraping private or login-only areas.
Stick to public content.
Respect robots.txt and rate limits.
Use headers to avoid bot detection (but don’t spoof heavily).

🚀 Bonus: Combine with Resume Auto-Sender Tools
Pair this script with tools like:
Python + SMTP → auto-send resumes.
Zapier + Google Alerts → auto-notify your Slack/Email.
LinkedIn API (limited) → track jobs from companies you're dorking.

🎯 Final Thoughts
With just a few smart queries and simple automation, you’ve unlocked a massive advantage in job hunting. This isn’t just hacking the job search — it’s outsmarting it.

✅ Wrap-Up of the Series
| Part | What You Learned |
| ----- | -------------------------------------------- |
| 1 | Intro to dorking & basic commands |
| 2 | Advanced operators & real use cases |
| 3 | Automating dorks with Google Alerts & Python |

🗣️ What Next?
Want me to turn this into a full-fledged tool or open-source job hunter script on GitHub? Drop a comment, and I might just publish it!

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