IP | Country | PORT | ADDED |
---|---|---|---|
50.171.122.28 | us | 80 | 6 minutes ago |
212.69.125.33 | ru | 80 | 6 minutes ago |
50.175.123.238 | us | 80 | 6 minutes ago |
190.58.248.86 | tt | 80 | 6 minutes ago |
50.171.122.27 | us | 80 | 6 minutes ago |
203.99.240.182 | jp | 80 | 6 minutes ago |
195.23.57.78 | pt | 80 | 6 minutes ago |
213.143.113.82 | at | 80 | 6 minutes ago |
62.99.138.162 | at | 80 | 6 minutes ago |
66.191.31.158 | us | 80 | 6 minutes ago |
80.120.130.231 | at | 80 | 6 minutes ago |
50.231.110.26 | us | 80 | 6 minutes ago |
41.207.187.178 | tg | 80 | 6 minutes ago |
203.99.240.179 | jp | 80 | 6 minutes ago |
50.175.212.66 | us | 80 | 6 minutes ago |
213.33.126.130 | at | 80 | 6 minutes ago |
194.219.134.234 | gr | 80 | 6 minutes ago |
67.43.228.250 | ca | 25981 | 6 minutes ago |
83.1.176.118 | pl | 80 | 6 minutes ago |
80.120.49.242 | at | 80 | 6 minutes ago |
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On the PC you can use SOCKS5 proxies, for example, through the browser Firefox. There are such a function in the settings, you just need to activate it. The only nuance: the connection speed or ping indicators in this case may be slowed down.
To parse all pages of a website in Python, you can use web scraping libraries such as requests for fetching HTML content and BeautifulSoup or lxml for parsing and extracting data. Additionally, you might need to manage crawling and handle the structure of the website.
Here's a basic example using requests and BeautifulSoup:
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin, urlparse
def get_all_links(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
# Extract all links on the page
links = [a['href'] for a in soup.find_all('a', href=True)]
return links
def parse_all_pages(base_url):
all_links = get_all_links(base_url)
all_pages_content = []
for link in all_links:
# Form the full URL for each link
full_url = urljoin(base_url, link)
# Ensure the link is within the same domain to avoid external links
if urlparse(full_url).netloc == urlparse(base_url).netloc:
# Get HTML content of the page
page_content = requests.get(full_url).text
all_pages_content.append({'url': full_url, 'content': page_content})
return all_pages_content
# Example usage
base_url = 'https://example.com'
all_pages_data = parse_all_pages(base_url)
# Now you have a list of dictionaries with data for each page
for page_data in all_pages_data:
print(f"URL: {page_data['url']}")
# Process HTML content of each page as needed
# For example, you can use BeautifulSoup for further data extraction
This example fetches all links from the initial page and then iterates through each link, fetching and storing the HTML content of the linked pages. Make sure to handle relative URLs and filter external links based on your requirements.
To log into your Google account using Selenium, you will need to follow these steps:
1. Install Selenium WebDriver for your preferred browser (e.g., Chrome, Firefox, Edge).
2. Import the necessary modules in your script.
3. Create a WebDriver instance for the browser.
4. Navigate to the Google login page (https://accounts.google.com/).
5. Locate the email and password input fields and the login button.
6. Enter your email and password into the input fields.
7. Click the login button.
Here's an example Python script using Selenium with Chrome WebDriver:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Set up the Chrome WebDriver
driver = webdriver.Chrome()
# Navigate to the Google login page
driver.get("https://accounts.google.com/")
# Explicit wait for the email input field to be present
wait = WebDriverWait(driver, 10)
email_input = wait.until(EC.presence_of_element_located((By.NAME, "identifier")))
# Enter your email address into the email input field
email_input.send_keys("[email protected]")
email_input.send_keys(Keys.RETURN)
# Explicit wait for the password input field to be present
password_input = wait.until(EC.presence_of_element_located((By.NAME, "password")))
# Enter your password into the password input field
password_input.send_keys("your_password")
password_input.send_keys(Keys.RETURN)
# Your Google account should now be logged in
Replace [email protected] and your_password with your actual Google account email and password. Note that storing passwords in plaintext within your script is not secure. Consider using environment variables or other secure methods to store sensitive information.
Keep in mind that Google may have CAPTCHA or other security measures in place to prevent automated logins. If you encounter such measures, you may need to use additional techniques or services to bypass them.
It is recommended to use third-party programs that allow redirecting all traffic through a proxy server. For example, ProxyDroid, EveryProxy. It is not possible to use proxies through the regular menu. Although in phones from some manufacturers such possibility has been added.
On the PC you can use SOCKS5 proxies, for example, through the browser Firefox. There are such a function in the settings, you just need to activate it. The only nuance: the connection speed or ping indicators in this case may be slowed down.
What else…