IP | Country | PORT | ADDED |
---|---|---|---|
50.174.7.159 | us | 80 | 22 minutes ago |
50.171.187.51 | us | 80 | 22 minutes ago |
50.172.150.134 | us | 80 | 22 minutes ago |
50.223.246.238 | us | 80 | 22 minutes ago |
67.43.228.250 | ca | 16555 | 22 minutes ago |
203.99.240.179 | jp | 80 | 22 minutes ago |
50.219.249.61 | us | 80 | 22 minutes ago |
203.99.240.182 | jp | 80 | 22 minutes ago |
50.171.187.50 | us | 80 | 22 minutes ago |
62.99.138.162 | at | 80 | 22 minutes ago |
50.217.226.47 | us | 80 | 22 minutes ago |
50.174.7.158 | us | 80 | 22 minutes ago |
50.221.74.130 | us | 80 | 22 minutes ago |
50.232.104.86 | us | 80 | 22 minutes ago |
212.69.125.33 | ru | 80 | 22 minutes ago |
50.223.246.237 | us | 80 | 22 minutes ago |
188.40.59.208 | de | 3128 | 22 minutes ago |
50.169.37.50 | us | 80 | 22 minutes ago |
50.114.33.143 | kh | 8080 | 22 minutes ago |
50.174.7.155 | us | 80 | 22 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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If your proxy gives you a 504 error, it means the server failed to complete the request within the time period you specified. Refreshing the page may help. Another option is to switch to another browser. You can also use the incognito mode, pre-clearing the browser cache. Pay attention to plug-ins that can also cause this error.
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.
If you're developing a web application and want to display scraping results in an inline button, you typically use a combination of HTML, JavaScript, and possibly a backend server (e.g., using Node.js or another server-side technology). Below is a simple example using HTML and JavaScript to demonstrate how you might achieve this. Please note that this example assumes you have a backend server to handle the scraping logic.
Let's create a simple HTML file:
Scraping Result Button
In this example:
scrapeData
function simulates the backend scraping logic. Replace it with your actual scraping code.updateResultContainer
function dynamically creates a button and attaches a click event listener to display the scraped result.Please note that this is a basic example, and in a real-world scenario, you would likely have a backend server to handle scraping, and you would use AJAX or fetch to make asynchronous requests to the server.
To connect to the Internet via a proxy server, you need to configure your browser or operating system to use the proxy server. Here's a general guide for setting up a proxy server using a web browser:
1. Open your web browser.
2. Access the browser settings or preferences:
- On Windows: Click the three-dot menu in the top-right corner and select "Settings."
- On macOS: Click the Apple menu in the top-left corner, select "System Preferences," and click "Network."
- On Linux: Click the menu button in the top-right corner, select "Settings," and click "Network."
- On Android: Open the "Settings" app and tap "Network & internet."
- On iOS: Open the "Settings" app and tap "Wi-Fi."
3. Locate the proxy settings:
- On Windows: Under "Network," click "Proxy settings."
- On macOS: Click the "Advanced" button and go to the "Proxies" tab.
- On Linux: Click the "+" button to add a new proxy.
- On Android: Tap "Private DNS" and "Static IP address" under "Advanced options."
- On iOS: Tap "Configure Proxy" under the active Wi-Fi network.
4. Enter the proxy server address, port, and authentication details (if required):
- Proxy server address: Enter the domain name or IP address of the proxy server (e.g., http://proxy-server).
- Port: Enter the port number used by the proxy server (e.g., 8080).
- Username and Password (optional): If the proxy server requires authentication, enter the username and password provided by the proxy server provider.
5. Save the proxy settings and restart the browser.
The first thing you need to do to use a proxy in your browser is to make the necessary settings. In Google Chrome browser, go to "Network" and then find and click on "Change proxy settings". In the "Internet properties" window that opens, go to "Connection" and click on the "Network settings" button at the bottom. When a new window opens, check the "Use proxy server for local connections" box and the "Do not use proxy server for local addresses" box. Enter the proxy port and IP address in the corresponding fields, close the window and click "OK".
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