Webfilter Proxy

Go to "Control Panel" and in "Small icons" mode, find the item "Browser properties", aka "Internet Options". In the "Connection" tab, click on "Network Settings", and then leave the item "Automatic detection of parameters" enabled in the window that opens, and disable everything else.

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.

If you want to integrate Selenium with BrowseEmAll, you might consider the following general steps:

1. Install BrowseEmAll:

   • Make sure you have BrowseEmAll installed on your machine.

2. Write Selenium Tests:

   • Write your Selenium tests using the programming language of your choice (e.g., Java, Python, C#).

3. Configure Selenium WebDriver:

   • Configure Selenium WebDriver to use BrowseEmAll as the target browser. This might involve specifying the path to the BrowseEmAll executable or using a specific driver provided by BrowseEmAll.

4. Run Tests:

   • Run your Selenium tests, and BrowseEmAll should be used as the browser for testing.

Here's a basic example using Python and Selenium WebDriver (you may need to adjust the details based on the actual integration requirements and BrowseEmAll features):

from selenium import webdriver

# Configure Selenium WebDriver to use BrowseEmAll
# Example assumes BrowseEmAll executable is in the specified path
browseemall_path = '/path/to/BrowseEmAll.exe'
browser_exe = '/path/to/Chrome.exe'  # Path to the Chrome browser executable

options = webdriver.ChromeOptions()
options.binary_location = browser_exe
options.add_argument('--remote-debugging-port=9222')  # Specify the remote debugging port used by BrowseEmAll

# Use the BrowseEmAll executable as the ChromeDriver executable
driver = webdriver.Chrome(executable_path=browseemall_path, options=options)

# Run your Selenium tests
driver.get('https://example.com')

# Close the browser when done
driver.quit()

Working with dynamically loaded buttons and forms on a webpage in Selenium can be challenging, as these elements may not be present when the page initially loads. To interact with these elements, you'll need to wait for them to become available.

You can use the following strategies to work with dynamically loaded elements in Selenium:

Explicit waits:

Explicit waits allow you to wait for a specific element to become available before interacting with it. This can be useful when working with dynamically loaded elements, as you can wait for the element to appear, become clickable, or disappear.

Here's an example using Python:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

driver = webdriver.Chrome()
driver.get('your_url')

# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = WebDriverWait(driver, 10).until(
    EC.element_to_be_clickable((By.ID, 'dynamic_button_id'))
)
dynamic_button.click()

# Rest of your code

driver.quit()

In this example, we use the WebDriverWait class to wait for the dynamic_button_id element to become clickable. The element_to_be_clickable() method takes a tuple containing the locator strategy and the element's identifier. The 10 parameter specifies the maximum amount of time to wait for the element, in seconds.

1. Implicit waits:

Implicit waits set a global timeout for the WebDriver to wait for elements to become available before throwing a NoSuchElementException. While implicit waits can be useful for some scenarios, they are not recommended for waiting for elements to become clickable, as they can lead to unexpected behavior.

2. Polling:

Polling is a technique where you repeatedly check for the presence of an element at a specific interval. This can be done using a loop and the WebDriverWait class. However, polling can be inefficient and may not be the best solution for waiting for elements to become available.

3. JavaScript execution:

In some cases, you may need to use JavaScript to interact with dynamically loaded elements. You can use the execute_script() method to run JavaScript code that interacts with the webpage.

Here's an example of using JavaScript to click a dynamic button:

from selenium import webdriver
from selenium.webdriver.common.by import By

driver = webdriver.Chrome()
driver.get('your_url')

# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = driver.find_element(By.ID, 'dynamic_button_id')
driver.execute_script("arguments[0].click();", dynamic_button)

# Rest of your code

driver.quit()

In this example, we use the execute_script() method to run a JavaScript code that clicks the dynamic_button_id element.

When working with dynamically loaded elements, it's essential to use the appropriate waiting strategy to ensure that your code interacts with the elements only when they are available and in the correct state.

Go to the settings (the icon in the form of three dots) and open the section "Settings". In the tab at the very bottom, click on "Advanced settings". Click on "Open proxy settings for computer" and in the window that appears, click on "Network settings". Find the line "Automatic detection of parameters", uncheck it, and then, in the section "Proxy", activate the option "Use a proxy server". Enter the proxy host and port in the appropriate fields, and then click "Apply".