IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.74 | us | 80 | 34 minutes ago |
189.202.188.149 | mx | 80 | 34 minutes ago |
50.171.187.50 | us | 80 | 34 minutes ago |
50.171.187.53 | us | 80 | 34 minutes ago |
50.223.246.226 | us | 80 | 34 minutes ago |
50.219.249.54 | us | 80 | 34 minutes ago |
50.149.13.197 | us | 80 | 34 minutes ago |
67.43.228.250 | ca | 8209 | 34 minutes ago |
50.171.187.52 | us | 80 | 34 minutes ago |
50.219.249.62 | us | 80 | 34 minutes ago |
50.223.246.238 | us | 80 | 34 minutes ago |
128.140.113.110 | de | 3128 | 34 minutes ago |
67.43.236.19 | ca | 17929 | 34 minutes ago |
50.149.13.195 | us | 80 | 34 minutes ago |
103.24.4.23 | sg | 3128 | 34 minutes ago |
50.171.122.28 | us | 80 | 34 minutes ago |
50.223.246.239 | us | 80 | 34 minutes ago |
72.10.164.178 | ca | 16727 | 34 minutes ago |
50.232.104.86 | us | 80 | 34 minutes ago |
50.172.39.98 | us | 80 | 34 minutes ago |
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In e-mail, proxy servers are used for secure data exchange as well as for collecting e-mails from several e-mail addresses at once. For example, this is how Gmail works, which also allows you to receive e-mails from mail.ru and other e-mail services.
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.
If Selenium is not loading the specified browser profile, there are several possible reasons and solutions to investigate. Here are some steps you can take to troubleshoot and resolve the issue:
Check Profile Path:
Ensure Browser Compatibility:
Use Browser-Specific Options:
Different browsers may have specific options for setting up a profile. For example, in Chrome, you can use user-data-dir
to specify the user data directory (profile).
from selenium import webdriver
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument('--user-data-dir=/path/to/profile')
driver = webdriver.Chrome(options=chrome_options)
Profile Settings Conflict:
Clear Browser Cache and Cookies:
Profile Locking:
Browser Version Mismatch:
Handle Security Restrictions:
Check for Selenium Updates:
Logging and Debugging:
Use Browser-Specific Drivers:
You can check it with the ping command from the command line in Windows. It is enough to enter it, with a space - the data of the proxy server (including the number of the port used) and press Enter. The reply message will tell you whether or not you have received a reply from the remote server. If not, the proxy is unavailable, respectively.
If you plan to use a proxy every day, it is recommended to pay attention to paid services. There, the connection is as reliable as possible, with no bandwidth limitations. However, the performance of numerous free proxies is not guaranteed.
What else…