IP | Country | PORT | ADDED |
---|---|---|---|
88.87.72.134 | ru | 4145 | 33 minutes ago |
178.220.148.82 | rs | 10801 | 33 minutes ago |
181.129.62.2 | co | 47377 | 33 minutes ago |
72.10.160.170 | ca | 16623 | 33 minutes ago |
72.10.160.171 | ca | 12279 | 33 minutes ago |
176.241.82.149 | iq | 5678 | 33 minutes ago |
79.101.45.94 | rs | 56921 | 33 minutes ago |
72.10.160.92 | ca | 25175 | 33 minutes ago |
50.207.130.238 | us | 54321 | 33 minutes ago |
185.54.0.18 | es | 4153 | 33 minutes ago |
67.43.236.20 | ca | 18039 | 33 minutes ago |
72.10.164.178 | ca | 11435 | 33 minutes ago |
67.43.228.250 | ca | 23261 | 33 minutes ago |
192.252.211.193 | us | 4145 | 33 minutes ago |
211.75.95.66 | tw | 80 | 33 minutes ago |
72.10.160.90 | ca | 26535 | 33 minutes ago |
67.43.227.227 | ca | 13797 | 33 minutes ago |
72.10.160.91 | ca | 1061 | 33 minutes ago |
99.56.147.242 | us | 53096 | 33 minutes ago |
212.31.100.138 | cy | 4153 | 33 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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It depends on the purpose for which you plan to work with proxies at all. Personally, one is enough for myself. But if you plan to do massive parsing, it may not be enough to have 100 pieces.
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.
Selenium WebDriver primarily supports locating elements using a variety of locator strategies such as ID, class name, tag name, name, xpath, and CSS selector. However, jQuery locators are not directly supported in Selenium WebDriver by default.
If you want to use jQuery selectors to locate elements, you have a few options
1. Execute jQuery Commands with JavaScript
You can execute JavaScript code, including jQuery, using the execute_script method in Selenium WebDriver. This allows you to leverage jQuery selectors to find elements.
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://example.com")
# Example: Using jQuery to find an element by class name
element = driver.execute_script("return $('.your-class-name')[0];")
# Interact with the element
element.click()
driver.quit()
In this example, replace $('.your-class-name')[0]; with your actual jQuery selector.
2. Use WebDriver's Built-in Locators
In most cases, you can achieve the same result using Selenium WebDriver's built-in locator strategies without relying on jQuery. For example, to locate an element by class name:
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("https://example.com")
# Example: Using WebDriver's built-in class name locator
element = driver.find_element_by_class_name("your-class-name")
# Interact with the element
element.click()
driver.quit()
Use CSS selectors, XPath, or other supported locators based on your specific needs.
Using the built-in WebDriver locators is generally recommended as it avoids the need to include jQuery and simplifies your code. However, if you have a specific reason to use jQuery, you can resort to executing JavaScript code as demonstrated in the first option.
Regular Windows functionality has a minimum of settings for proxies. Therefore, it is recommended to use third-party applications for this purpose. For example, Proxy Switcher or Proxifier. There you can not only set the server characteristics but also, for example, create a folder for packets of traffic that are transmitted through the local network.
The easiest way to set up a home proxy server is to install a router that supports this function. Then get the proxy data (provided by the service in which it is "rented") and enter it in the router settings. If there is no need for a common proxy (for all devices at once), then it should be configured separately for each device with the help of the utilities integrated in the OS for changing the connection properties.
What else…