IP | Country | PORT | ADDED |
---|---|---|---|
50.207.199.83 | us | 80 | 8 minutes ago |
158.255.77.169 | ae | 80 | 8 minutes ago |
50.239.72.18 | us | 80 | 8 minutes ago |
203.99.240.182 | jp | 80 | 8 minutes ago |
50.223.246.239 | us | 80 | 8 minutes ago |
50.172.39.98 | us | 80 | 8 minutes ago |
50.168.72.113 | us | 80 | 8 minutes ago |
213.143.113.82 | at | 80 | 8 minutes ago |
194.158.203.14 | by | 80 | 8 minutes ago |
50.171.122.30 | us | 80 | 8 minutes ago |
80.120.130.231 | at | 80 | 8 minutes ago |
41.230.216.70 | tn | 80 | 8 minutes ago |
203.99.240.179 | jp | 80 | 8 minutes ago |
50.175.123.233 | us | 80 | 8 minutes ago |
85.215.64.49 | de | 80 | 8 minutes ago |
50.207.199.85 | us | 80 | 8 minutes ago |
97.74.81.253 | sg | 21557 | 8 minutes ago |
50.223.246.236 | us | 80 | 8 minutes ago |
125.228.143.207 | tw | 4145 | 8 minutes ago |
50.221.74.130 | us | 80 | 8 minutes ago |
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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 you plan to use a proxy every day, it is recommended to pay attention to paid services. There, the connection is as reliable as possible, with no bandwidth limitations. However, the performance of numerous free proxies is not guaranteed.
There are many free VPN services. But it is not safe to use them. After all, they are just engaged in parsing. That is, they collect information about users. Most often - their IP-addresses, as well as text data (these are search queries and their personal information).
The easiest way is to try to open any site or application that requires an Internet connection. If the data download goes well, then the VPN is working properly. If there is a "No connection" error, then the VPN is not working properly for some reason.
All modern Smart TVs allow you to use proxies to connect to the Internet or local network (both on Android and Tizen OS). You have to go to the device settings, open "Network" tab (can be named as "Ethernet"), and then in "Advanced settings" to activate the proxy, if necessary - specify its settings.
What else…