(Relevant Based on Post)
The original post discusses a “Kit Ultime de Prospection 2025” for LinkedIn and cold emailing, but we’ll dive into automating lead generation using cybersecurity and IT techniques.
You Should Know: Automating LinkedIn Prospecting with Python & Web Scraping
1. Web Scraping LinkedIn with Python
Use `selenium` and `BeautifulSoup` to extract prospect data:
from selenium import webdriver
from bs4 import BeautifulSoup
import time
driver = webdriver.Chrome()
driver.get("https://www.linkedin.com/login")
Login (replace credentials)
driver.find_element("id", "username").send_keys("your_email")
driver.find_element("id", "password").send_keys("your_password")
driver.find_element("xpath", "//button[@type='submit']").click()
Scrape profiles
search_url = "https://www.linkedin.com/search/results/people/?keywords=CEO"
driver.get(search_url)
time.sleep(5)
soup = BeautifulSoup(driver.page_source, 'html.parser')
profiles = soup.find_all("li", class_="reusable-search__result-container")
for profile in profiles:
name = profile.find("span", class_="entity-result__title-text").get_text(strip=True)
print(name)
driver.quit()
2. Automating Cold Emails with Bash & SMTP
Use `swaks` for email automation:
swaks --to [email protected] --from [email protected] --server smtp.example.com --auth LOGIN --auth-user [email protected] --auth-password "your_password" --header "Subject: Quick Question" --body "Hi [bash], I noticed your work in [bash]. Let’s connect!"
3. LinkedIn API for Automated Messaging
Use Python’s `requests` to interact with LinkedIn’s API (unofficial):
import requests
headers = {
"Authorization": "Bearer YOUR_ACCESS_TOKEN",
"Content-Type": "application/json"
}
payload = {
"message": "Hi [bash], would love to connect!",
"recipients": ["profile_urn"]
}
response = requests.post("https://api.linkedin.com/v2/messages", headers=headers, json=payload)
print(response.json())
4. Proxies & Anti-Detection for Scraping
Avoid IP bans with `rotating proxies`:
from selenium.webdriver import Proxy, DesiredCapabilities
proxy = Proxy({"proxyType": "MANUAL", "httpProxy": "ip:port"})
capabilities = DesiredCapabilities.CHROME
proxy.add_to_capabilities(capabilities)
driver = webdriver.Chrome(desired_capabilities=capabilities)
What Undercode Say
Automating LinkedIn prospecting can save hours, but:
- Legal Risks: Violating LinkedIn’s ToS can lead to bans.
- Ethical Concerns: Spamming damages reputation.
- Technical Barriers: CAPTCHAs, rate limits, and API restrictions exist.
Useful Commands for Cybersecurity & Automation:
Check if LinkedIn blocks your IP curl -I https://www.linkedin.com Monitor network traffic while scraping tcpdump -i eth0 -w linkedin_traffic.pcap Rotate user agents with Python pip install fake_useragent
Prediction
LinkedIn will likely enforce stricter anti-bot measures in 2025, including:
– AI-driven anomaly detection (unusual message patterns).
– Hardened API access (OAuth 2.0 + MFA requirements).
– Legal actions against aggressive scrapers.
Expected Output: A Python script logging prospect data into CSV without bans.
(No cyber/IT URLs found in original post.)
References:
Reported By: Jeremy Valleyre – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
