PyCharm Proxy

Although free proxies are popular, they are far from being flawless in their work. Many of their IP addresses are blacklisted by popular resources, and the data transfer speed and stability are very unreliable. When choosing a proxy, keep in mind that the new version of IPv6 is not supported by most websites. Note also that proxies are divided into private and public, statistical and dynamic, and support different network protocols.

Shared proxies should be understood as IPs and port numbers available to everyone. That is, many users can use them simultaneously. The most unreliable and slowest option.

When using BeautifulSoup in Python to parse HTML or XML with identical tags, you can use various methods to extract the desired information. One common approach is to use the find_all method along with additional criteria to narrow down the selection.

Here's an example of how you can parse identical tags with BeautifulSoup:

from bs4 import BeautifulSoup

html_content = """

    
First paragraph
    
Second paragraph
    
Third paragraph

"""

soup = BeautifulSoup(html_content, 'html.parser')

# Find all paragraphs within the div with class="example"
div_example = soup.find('div', class_='example')
if div_example:
    paragraphs = div_example.find_all('p')

    # Print the text content of each paragraph
    for paragraph in paragraphs:
        print(paragraph.text)
else:
    print("Div with class='example' not found.")

In this example, find is used to locate the div with class "example," and then find_all is used to retrieve all paragraph tags within that div. The text content of each paragraph is then printed.

You can adapt this approach to your specific HTML or XML structure. If the identical tags are nested within a specific parent element, use that parent element as a starting point for your search.

Keep in mind that identifying the elements you want to extract may involve inspecting the HTML structure and adapting your code accordingly.

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.

Text parsing is the collection of text information, which is then converted either to form a log file or to perform the task set by the developer.