Proxy Genius

Web scraping to collect email addresses from web pages raises ethical and legal considerations. It's important to respect privacy and adhere to the terms of service of the websites you are scraping. Additionally, harvesting email addresses for unsolicited communication may violate anti-spam regulations.

If you have a legitimate use case, here's a basic example in Python using the requests library and regular expressions to extract email addresses. Note that this is a simplistic example and may not cover all email address variations:

import re
import requests

def extract_emails_from_text(text):
    email_pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'
    return re.findall(email_pattern, text)

def scrape_emails_from_url(url):
    response = requests.get(url)
    if response.status_code == 200:
        page_content = response.text
        emails = extract_emails_from_text(page_content)
        return emails
    else:
        print(f"Failed to fetch content from {url}. Status code: {response.status_code}")
        return []

# Example usage
url_to_scrape = 'https://example.com'
emails_found = scrape_emails_from_url(url_to_scrape)

if emails_found:
    print("Email addresses found:")
    for email in emails_found:
        print(email)
else:
    print("No email addresses found.")

Keep in mind the following:

1. Ethics and Legality:

   • Ensure that your scraping activities are ethical and comply with the laws and terms of service of the websites you are scraping.

2. Robots.txt:

   • Check the website's robots.txt file to understand if scraping is allowed or restricted.

3. Consent:

   • Respect user privacy and obtain consent if necessary.

4. Anti-Spam Regulations:

   • Be aware of and comply with anti-spam regulations in your region.

5. Variability of Email Formats:

   • Email address formats can vary, and the regular expression provided is a basic example. You may need to adjust it based on the actual formats you encounter.

6. Use of APIs:

   • If available, consider using official APIs provided by websites to access data rather than scraping.

In Selenium with Python, you can add cookies to your browser session using the add_cookie method of the WebDriver's options or add_cookie method of the WebDriver instance. If you have cookies saved in a file, you can read the file and then add the cookies to your Selenium session. Here's an example:

from selenium import webdriver
import pickle

# Create a new instance of the browser (e.g., Chrome)
driver = webdriver.Chrome()

# Read cookies from a file (replace 'cookies.pkl' with your actual file name)
with open('cookies.pkl', 'rb') as cookies_file:
    cookies = pickle.load(cookies_file)

# Add each cookie to the browser session
for cookie in cookies:
    driver.add_cookie(cookie)

# Now the browser should have the added cookies

# Example: Navigate to a website after setting cookies
driver.get('https://example.com')

# Continue with your script...

# Close the browser when done
driver.quit()

In this example:

1. The Selenium WebDriver (Chrome in this case) is created.
2. Cookies are read from a file using the pickle module. Make sure your cookies file is in the correct format (a list of dictionaries).
3. Each cookie is added to the browser session using the add_cookie method.
4. The script navigates to a website (https://example.com) after setting the cookies. Adjust this part according to your specific use case.
5. The browser is closed using driver.quit() when the script is done.

Make sure to replace 'cookies.pkl' with the actual path to your cookies file.

Note: The format of the cookies file is crucial. It should be a list of dictionaries, and each dictionary should contain at least the keys 'name', 'value', 'domain', and 'path'. If the cookies were obtained using get_cookies() in a previous Selenium session, you can directly save the result using pickle.dump(cookies, file).

Here's a simple example of how to save cookies:

from selenium import webdriver
import pickle

driver = webdriver.Chrome()
driver.get('https://example.com')

# Get cookies
cookies = driver.get_cookies()

# Save cookies to a file
with open('cookies.pkl', 'wb') as cookies_file:
    pickle.dump(cookies, cookies_file)

driver.quit()

Then, you can use the first script to load and set these cookies in a new Selenium session.

A proxy server acts as an intermediary between the client and the requested Internet resource. It is assigned the role of a kind of gateway or filter, which is responsible for submitting a request, receiving the required information and providing it to the user. The proxy server, if necessary, can make changes in incoming and outgoing data, the nature of which will depend on the type of proxy and its settings.

Every proxy server is of the type 168.1.1.1:8080, where the first part before the colon is the IP address of the remote computer through which the connection is made. The second part (after the colon, in this case 8080) is the port number through which your equipment will connect to that very remote server.

Such proxy redirects requests from clients to different servers (globally or within a single local network). It can be used for load balancing in different Internet services, for testing web applications, for secured access to local network servers (all "non-client" traffic is ignored).