IP | Country | PORT | ADDED |
---|---|---|---|
50.207.199.83 | us | 80 | 27 minutes ago |
158.255.77.169 | ae | 80 | 27 minutes ago |
50.239.72.18 | us | 80 | 27 minutes ago |
203.99.240.182 | jp | 80 | 27 minutes ago |
50.223.246.239 | us | 80 | 27 minutes ago |
50.172.39.98 | us | 80 | 27 minutes ago |
50.168.72.113 | us | 80 | 27 minutes ago |
213.143.113.82 | at | 80 | 27 minutes ago |
194.158.203.14 | by | 80 | 27 minutes ago |
50.171.122.30 | us | 80 | 27 minutes ago |
80.120.130.231 | at | 80 | 27 minutes ago |
41.230.216.70 | tn | 80 | 27 minutes ago |
203.99.240.179 | jp | 80 | 27 minutes ago |
50.175.123.233 | us | 80 | 27 minutes ago |
85.215.64.49 | de | 80 | 27 minutes ago |
50.207.199.85 | us | 80 | 27 minutes ago |
97.74.81.253 | sg | 21557 | 27 minutes ago |
50.223.246.236 | us | 80 | 27 minutes ago |
125.228.143.207 | tw | 4145 | 27 minutes ago |
50.221.74.130 | us | 80 | 27 minutes ago |
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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.
It is not possible to set up a proxy connection in the program itself. That is, you should configure it either through the regular settings of Windows, or by using third-party utilities to forward traffic (e.g., through ProxyCap).
Parsing is the collection of all information. Accordingly, parsing a site is copying all of its source code as presented. You can use it to edit the site further or to analyze it for security purposes.
Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.
Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:
import urllib.request
def scrape_website(url):
try:
# Make an HTTP request
response = urllib.request.urlopen(url)
# Read the HTML content
html_content = response.read().decode('utf-8')
# Extract the title using string manipulation
title_start = html_content.find('') + len('')
title_end = html_content.find(' ', title_start)
title = html_content[title_start:title_end].strip()
return title
except Exception as e:
print(f"Error: {e}")
return None
# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)
if scraped_title:
print(f"Scraped title: {scraped_title}")
else:
print("Scraping failed.")
Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.
Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.
If your ISP blocks you from downloading torrents, turning on your proxy server is the easiest way around the blockage. How exactly this is done depends on the torrent client you are using. For example, in Qbittorrent you need to go to settings, open "Network" tab, check "Proxy-server" and manually specify its settings. The same way uTorrent is configured.
What else…