IP | Country | PORT | ADDED |
---|---|---|---|
194.182.163.117 | ch | 3128 | 55 minutes ago |
203.99.240.179 | jp | 80 | 55 minutes ago |
85.8.68.2 | de | 80 | 55 minutes ago |
213.16.81.182 | hu | 35559 | 55 minutes ago |
79.110.201.235 | pl | 8081 | 55 minutes ago |
190.58.248.86 | tt | 80 | 55 minutes ago |
181.143.61.124 | co | 4153 | 55 minutes ago |
41.207.187.178 | tg | 80 | 55 minutes ago |
213.143.113.82 | at | 80 | 55 minutes ago |
194.158.203.14 | by | 80 | 55 minutes ago |
62.99.138.162 | at | 80 | 55 minutes ago |
41.230.216.70 | tn | 80 | 55 minutes ago |
79.106.170.126 | al | 4145 | 55 minutes ago |
125.228.143.207 | tw | 4145 | 55 minutes ago |
125.228.94.199 | tw | 4145 | 55 minutes ago |
39.175.75.144 | cn | 30001 | 55 minutes ago |
218.75.102.198 | cn | 8000 | 55 minutes ago |
122.116.29.68 | tw | 4145 | 55 minutes ago |
213.33.126.130 | at | 80 | 55 minutes ago |
80.120.130.231 | at | 80 | 55 minutes ago |
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An "open" proxy means one that is publicly available. It can be used by many network users at the same time. But because of this its bandwidth is also quite low, because the server simultaneously handles all requests through a single port.
The term "public" should be understood to mean open proxy servers. That is, they can be used by all users without exception. They can be insecure and are often quite overloaded, so the connection speed or response time when using public proxies can be very slow.
In Perl, regular expressions (regex) are a powerful tool for parsing and manipulating text. Below is a basic example of using Perl regex to parse text. Please note that the regex patterns and the parsing logic depend on the specific structure of your text data.
Let's assume you have a simple text string with information about people, and you want to extract names and ages. Here's an example:
use strict;
use warnings;
my $text = "John Doe, age 30; Jane Smith, age 25; Bob Johnson, age 40";
# Define a regex pattern to match names and ages
my $pattern = qr/(\w+\s+\w+),\s+age\s+(\d+)/;
# Use the regex pattern to extract information
while ($text =~ /$pattern/g) {
my $name = $1;
my $age = $2;
print "Name: $name, Age: $age\n";
}
In this example:
The text contains information about people, where each entry is separated by a semicolon.
The regex pattern (\w+\s+\w+),\s+age\s+(\d+)
is used to match names and ages. Breaking down the pattern:
(\w+\s+\w+)
: Matches names consisting of one or more word characters (letters, digits, underscores) separated by whitespace.,
: Matches the comma separating the name and age.\s+age\s+
: Matches the string "age" surrounded by whitespace.(\d+)
: Matches one or more digits representing the age.The while ($text =~ /$pattern/g)
loop iterates through matches found in the text.
Inside the loop, $1
and $2
capture the matched name and age, respectively.
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:
pickle
module. Make sure your cookies file is in the correct format (a list of dictionaries).add_cookie
method.https://example.com
) after setting the cookies. Adjust this part according to your specific use case.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.
In a local network, you will need two computers to do this. One will be used as a proxy server, the other as a client. Then you need to activate the proxy on the server. And on the client PC - choose to access the Internet via a local network connection (i.e. from the server). Another option is to use a web server like Nginx.
What else…