IP | Country | PORT | ADDED |
---|---|---|---|
50.171.207.92 | us | 80 | 31 minutes ago |
50.221.230.186 | us | 80 | 31 minutes ago |
67.43.236.19 | ca | 12341 | 31 minutes ago |
66.42.224.229 | 41679 | 31 minutes ago | |
50.232.104.86 | us | 80 | 31 minutes ago |
50.149.15.33 | us | 80 | 31 minutes ago |
50.171.122.27 | us | 80 | 31 minutes ago |
80.120.130.231 | at | 80 | 31 minutes ago |
41.230.216.70 | tn | 80 | 31 minutes ago |
103.97.94.22 | in | 4153 | 31 minutes ago |
125.228.143.207 | tw | 4145 | 31 minutes ago |
213.143.113.82 | at | 80 | 31 minutes ago |
194.158.203.14 | by | 80 | 31 minutes ago |
62.99.138.162 | at | 80 | 31 minutes ago |
82.119.96.254 | sk | 80 | 31 minutes ago |
139.162.78.109 | jp | 3128 | 31 minutes ago |
194.219.134.234 | gr | 80 | 31 minutes ago |
122.116.29.68 | tw | 4145 | 31 minutes ago |
189.202.188.149 | mx | 80 | 31 minutes ago |
1.94.31.35 | cn | 8888 | 31 minutes ago |
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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.
When scraping paginated content, fetching the "next page" usually involves extracting the URL of the next page from the HTML of the current page. In PHP, you can use a library like Simple HTML DOM Parser to parse HTML and extract the URL for the next page.
Here's an example of how you might scrape the next page URL using PHP
Install Simple HTML DOM Parser:
You can download it from sourceforge and include it in your project, or use Composer:
composer require sunra/php-simple-html-dom-parser
Write a PHP script to scrape the next page URL:
find('a.next-page-link', 0);
if ($nextPageLink) {
// Extract the href attribute (URL) from the link
$nextPageUrl = $nextPageLink->href;
return $nextPageUrl;
} else {
return null; // No next page link found
}
}
// Example usage
$currentUrl = 'https://example.com/page1'; // Replace with the URL of the current page
$nextPageUrl = scrapeNextPageUrl($currentUrl);
if ($nextPageUrl) {
echo "Next Page URL: $nextPageUrl";
} else {
echo "No Next Page URL found.";
}
Replace the $currentUrl variable with the URL of the current page.
Adjust the HTML element selector ('a.next-page-link') based on the structure of the website you are scraping.
Run the script:
Execute the PHP script to see the URL of the next page.
Select the "Proxy" tab in the "Network" window, then click on Win+C and find the "Settings" item. In the window that opens, stop at "Change computer settings" and go to "Network". Select the "Proxy" line here and disable the proxy functionality.
A proxy server acts as an intermediary between the client and the requested Internet resource. It is assigned the role of a kind of gateway or filter, which is responsible for submitting a request, receiving the required information and providing it to the user. The proxy server, if necessary, can make changes in incoming and outgoing data, the nature of which will depend on the type of proxy and its settings.
It depends on how you plan to log in to Facebook. For example, if on a PC, just specify the proxy server settings in the connection properties or in the browser settings. If on a mobile (site or application), you need to specify the proxy data in the settings of the phone itself. Or you can install an application that allows you to automatically set up a VPN connection.
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