IP | Country | PORT | ADDED |
---|---|---|---|
79.110.200.148 | pl | 8081 | 34 minutes ago |
103.249.201.6 | vn | 1177 | 34 minutes ago |
51.210.111.216 | fr | 62160 | 34 minutes ago |
45.12.132.212 | cy | 51991 | 34 minutes ago |
179.1.110.87 | co | 5678 | 34 minutes ago |
185.59.100.55 | de | 1080 | 34 minutes ago |
183.109.79.187 | kr | 80 | 34 minutes ago |
51.75.126.150 | fr | 54612 | 34 minutes ago |
59.53.80.122 | cn | 10024 | 34 minutes ago |
41.223.234.116 | bf | 37259 | 34 minutes ago |
119.3.113.150 | cn | 9094 | 34 minutes ago |
218.77.183.214 | cn | 5224 | 34 minutes ago |
218.75.224.4 | cn | 3309 | 34 minutes ago |
119.3.113.151 | cn | 9094 | 34 minutes ago |
161.35.70.249 | de | 1080 | 34 minutes ago |
119.3.113.152 | cn | 9094 | 34 minutes ago |
103.216.50.11 | kh | 8080 | 34 minutes ago |
221.231.13.198 | cn | 1080 | 34 minutes ago |
37.18.73.60 | ru | 5566 | 34 minutes ago |
45.12.132.188 | cy | 51991 | 34 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
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You can bypass the blocking of the messenger by using the built-in proxy server in the application. To do this, go to "Settings" and then to the section "Data and storage". Here, in the "Proxy settings" tab, you will find the "Add proxy" item. A shield icon on the top line of the menu will indicate that the proxy is enabled.
There are special online services that use IP and HTTP connection tags to determine if a proxy is being used from your equipment. The most popular are Proxy Checker, Socproxy.
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.
Changing the WebRTC (Web Real-Time Communication) value in Selenium involves modifying the browser's configuration options. WebRTC settings are not directly exposed through Selenium WebDriver, so you need to use browser-specific options or preferences.
Below are examples for changing WebRTC settings in Chrome and Firefox using Selenium in Python. Keep in mind that the availability of certain options may vary depending on the browser version, and these examples may need adjustments based on your specific requirements.
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
chrome_options = Options()
# Disable WebRTC
chrome_options.add_argument('--disable-webrtc')
# Other options (customize as needed)
# chrome_options.add_argument('--use-fake-device-for-media-stream')
# chrome_options.add_argument('--use-fake-ui-for-media-stream')
driver = webdriver.Chrome(chrome_options=chrome_options)
# Your Selenium script...
driver.quit()
In this example, --disable-webrtc is used to disable WebRTC. You can explore other Chrome command-line options related to WebRTC here.
Firefox
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
firefox_options = Options()
# Disable WebRTC
firefox_options.set_preference('media.peerconnection.enabled', False)
# Other preferences (customize as needed)
# firefox_options.set_preference('media.navigator.streams.fake', True)
# firefox_options.set_preference('media.navigator.permission.disabled', True)
driver = webdriver.Firefox(firefox_options=firefox_options)
# Your Selenium script...
driver.quit()
In this example, media.peerconnection.enabled is set to False to disable WebRTC in Firefox. Additional preferences can be adjusted based on your needs. You can find more Firefox preferences related to WebRTC here.
Remember that changing browser preferences may have implications on the behavior of your application, and modifying settings like WebRTC should be done responsibly and in accordance with the terms of service of the websites you are interacting with.
To convert a Scrapy Response object to a BeautifulSoup object, you can use the BeautifulSoup library. The Response object's body attribute contains the raw HTML content, which can be passed to BeautifulSoup for parsing. Here's an example:
from bs4 import BeautifulSoup
import scrapy
class MySpider(scrapy.Spider):
name = 'my_spider'
start_urls = ['http://example.com']
def parse(self, response):
# Convert Scrapy Response to BeautifulSoup object
soup = BeautifulSoup(response.body, 'html.parser')
# Now you can use BeautifulSoup to navigate and extract data
title = soup.title.string
print(f'Title: {title}')
# Example: Extract all paragraphs
paragraphs = soup.find_all('p')
for paragraph in paragraphs:
print(paragraph.text.strip())
- The Scrapy spider starts with the URL http://example.com.
- In the parse method, response.body contains the raw HTML content.
- The HTML content is passed to BeautifulSoup with the parser specified as 'html.parser'.
- The resulting soup object can be used to navigate and extract data using BeautifulSoup methods.
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