Free Proxy US HTTPS Git

Stable Proxies:

USA USA
100 IP
25$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Europe Europe
500 IP
69$
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
10 000 IP
729$
IP address Port Country Protocol Verified
80.149.142.142 80 http 1 month ago
154.197.75.19 80 Seychelles http 1 month ago
84.201.138.232 3128 Russian Federation http 1 month ago
185.93.89.153 8265 Iran socks 1 month ago
147.91.22.150 80 Serbia http 1 month ago
185.93.89.190 4928 Iran socks 1 month ago
185.93.89.158 4749 Iran socks 1 month ago
89.58.57.45 80 Germany http 1 month ago
188.34.198.195 31096 Germany socks 1 month ago
185.93.89.191 13496 Iran socks 1 month ago
178.33.42.161 49062 France socks 1 month ago
161.35.31.237 1080 Germany socks 1 month ago
161.35.82.57 1080 Netherlands socks 1 month ago
190.2.143.81 8888 Netherlands http 1 month ago
5.157.64.213 1080 United Kingdom socks 1 month ago
37.32.9.56 1080 Iran socks 1 month ago
87.248.129.26 80 United Arab Emirates http 1 month ago
89.46.223.201 3128 Netherlands https 1 month ago
185.93.89.144 17878 Iran socks 1 month ago
199.34.228.154 80 United States http 1 month ago
45.67.215.187 80 Russian Federation http 1 month ago
103.169.142.71 80 Australia http 1 month ago
216.24.57.155 80 United States http 1 month ago
185.18.250.2 80 Switzerland http 1 month ago
216.198.54.189 80 United States http 1 month ago
185.148.107.46 80 Russian Federation http 1 month ago
190.2.143.81 80 Netherlands http 1 month ago
95.47.239.221 3128 Uzbekistan https 1 month ago
31.12.75.11 80 Russian Federation http 1 month ago
45.67.215.68 80 Russian Federation http 1 month ago
45.194.53.72 80 United States http 1 month ago
194.36.55.227 80 United Kingdom http 1 month ago
23.227.60.10 80 Canada http 1 month ago
206.238.237.62 80 Singapore http 1 month ago
199.34.229.151 80 United States http 1 month ago
185.193.28.78 80 United Kingdom http 1 month ago
164.38.155.139 80 United Kingdom http 1 month ago
185.221.160.2 80 Russian Federation http 1 month ago
160.153.1.146 80 United States http 1 month ago
206.238.239.69 80 Singapore http 1 month ago
216.198.53.68 80 United States http 1 month ago
164.38.155.111 80 United Kingdom http 1 month ago
212.183.88.13 80 Austria http 1 month ago
212.183.88.212 80 Austria http 1 month ago
45.8.211.175 80 Russian Federation http 1 month ago
195.85.23.58 80 Czech Republic http 1 month ago
185.193.30.141 80 United Kingdom http 1 month ago
194.152.44.74 80 Netherlands http 1 month ago
206.238.236.62 80 Singapore http 1 month ago
185.221.160.21 80 Russian Federation http 1 month ago
194.152.44.247 80 Netherlands http 1 month ago
45.194.53.99 80 United States http 1 month ago
45.159.216.43 80 United States http 1 month ago
45.8.211.92 80 Russian Federation http 1 month ago
103.160.204.31 80 http 1 month ago
159.246.55.189 80 United States http 1 month ago
199.34.230.18 80 United States http 1 month ago
45.80.108.108 80 Estonia http 1 month ago
172.67.139.67 80 http 1 month ago
172.67.99.52 80 http 1 month ago
190.2.143.81 8080 Netherlands http 1 month ago
173.249.28.218 47190 France socks 1 month ago
81.30.177.75 1080 Russian Federation socks 1 month ago
109.194.34.246 8082 Russian Federation http 1 month ago
172.66.44.121 80 http 1 month ago
89.238.233.50 60606 Romania socks 1 month ago
109.199.114.176 3128 Germany http 1 month ago
138.201.159.200 8118 Germany https 1 month ago
77.41.167.137 1080 Russian Federation socks 1 month ago
185.93.89.143 15808 Iran socks 1 month ago
78.29.46.43 1080 Russian Federation socks 1 month ago
91.107.254.226 7777 Germany socks 1 month ago
194.67.51.210 1080 Russian Federation socks 1 month ago
62.171.171.209 40831 France socks 1 month ago
45.12.132.215 51991 Cyprus socks 1 month ago
194.152.50.92 5678 Poland socks 1 month ago
45.12.132.188 51991 Cyprus socks 1 month ago
45.12.132.212 51991 Cyprus socks 1 month ago
161.97.163.52 50697 Germany socks 1 month ago
64.226.85.75 1080 Germany socks 1 month ago
179.61.138.78 10002 Germany socks 1 month ago
179.61.138.78 10004 Germany socks 1 month ago
179.61.138.78 10006 Germany socks 1 month ago
141.94.195.25 25043 France socks 1 month ago
43.131.9.114 1777 Germany socks 1 month ago
94.103.83.90 3128 Russian Federation http 1 month ago
185.93.89.183 14960 Iran socks 1 month ago
161.35.70.249 80 Germany http 1 month ago
65.21.52.41 8888 Finland http 1 month ago
178.44.118.116 1080 Russian Federation socks 1 month ago
162.19.107.54 53930 France socks 1 month ago
31.40.144.129 8888 Russian Federation socks 1 month ago
45.12.132.28 51991 Cyprus socks 1 month ago
179.61.138.78 10015 Germany socks 1 month ago
178.33.162.89 56922 Spain socks 1 month ago
213.148.10.80 3128 Kazakstan https 1 month ago
45.12.132.30 51991 Cyprus socks 1 month ago
77.50.124.228 1080 Russian Federation socks 1 month ago
51.210.111.216 29733 France socks 1 month ago
92.255.193.113 8080 Russian Federation http 1 month ago

Fast and stable proxies

Russia Russia
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
USA USA
100 IP
25$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Great Britain Great Britain
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
399$
Germany Germany
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
499$
Europe Europe
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
China China
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
249$
5 000 IP
Sold out
Ukraine Ukraine
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Australia Australia
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Canada Canada
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Netherlands Netherlands
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
France France
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Turkey Turkey
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
India India
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Poland Poland
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Spain Spain
100 IP
19$
500 IP
69$
1 000 IP
99$
3 000 IP
Sold out
5 000 IP
Sold out
Mix of countriesMix of countries
1 000 IP
99$
3 000 IP
229$
5 000 IP
379$
10 000 IP
729$
15 000 IP
1049$
We have proxy lists for almost every need, the list is updated every 60 minutes. We analyze proxy every minute, look for speed matching IPs and add them to our database. You can see the result in the table above. Use our proxies and regularly check for updates on our website.

FAQ

    What is the best free proxy?

    There are many free proxy services available, but they may not be reliable or secure. Keep in mind that using a proxy may not fully protect your anonymity, and it is important to be aware of the potential risks and limitations of using a proxy. Some popular free proxy services include Hidester, Hide.me, and Kproxy. However, it is important to carefully research any proxy service before using it, as some free proxies may be run by malicious parties and could potentially compromise your security. It is also a good idea to use a proxy in conjunction with other security measures, such as a virtual private network (VPN).

    How to scrape data from TripAdvisor?

    Assuming you have the right to scrape data from TripAdvisor for personal use or in compliance with their terms, here's a general outline of how you might approach it using Python and the BeautifulSoup library:

    Prerequisites:

    1. Python:

      • Make sure you have Python installed on your system.
    2. Install Required Libraries:

      • Install the required libraries using pip:

    pip install requests beautifulsoup4

    Example Python Script:

    Below is a basic example using Python, Requests, and BeautifulSoup to scrape information about hotels in a specific location from TripAdvisor. Note that this script is for educational purposes only, and you should respect the terms of service of any website you are scraping.

    
     

    python

    
     

    import requests from bs4 import BeautifulSoup def scrape_tripadvisor(location): base_url = f'https://www.tripadvisor.com/Hotels-g{location}-' headers = { 'User-Agent': 'Your User Agent String', # Add a valid user agent string } response = requests.get(base_url, headers=headers) if response.status_code == 200: soup = BeautifulSoup(response.text, 'html.parser') # Extract information based on HTML structure hotel_elements = soup.find_all('div', class_='listing_title') for index, hotel in enumerate(hotel_elements, start=1): hotel_name = hotel.text.strip() print(f'{index}. {hotel_name}') else: print(f"Failed to fetch data. Status code: {response.status_code}") if __name__ == "__main__": # Specify the location code from TripAdvisor URL # For example, for New York City: g60763 location_code = 'Your_Location_Code' scrape_tripadvisor(location_code)

    Important Points:

    1. User Agent:

      • Set a valid User Agent string in the headers to mimic a real browser. TripAdvisor might block requests without a proper User Agent.
    2. Location Code:

      • The location code is part of the TripAdvisor URL for a specific location. You can find this in the URL when you manually search for hotels in a location.
    3. HTML Structure:

      • TripAdvisor's HTML structure may change, so the script might need adjustments if there are updates to the website's design.
    4. Rate Limiting and Politeness:

      • To avoid being blocked, consider implementing rate limiting and introduce delays between requests. Be respectful of the website's resources.
    What Are Latency and Throughput?

    Latency and throughput are two important performance metrics that are used to evaluate the performance of computer systems and networks.

    Latency refers to the amount of time it takes for a request to be processed and a response to be received. In the context of computer systems and networks, latency is often measured in milliseconds (ms) or microseconds (µs). A low latency means that the system or network is responding quickly, while a high latency indicates that there is a delay in processing requests and receiving responses.

    Throughput, on the other hand, refers to the amount of data that can be processed or transmitted in a given period of time. It is usually measured in bits per second (bps) or bytes per second (Bps). A high throughput means that the system or network is capable of processing and transmitting a large amount of data quickly, while a low throughput indicates that it is unable to keep up with the demands of processing and transmitting data.

    Together, latency and throughput provide a comprehensive view of the performance of computer systems and networks, and they can be used to identify and resolve performance bottlenecks, improve scalability, and ensure high levels of reliability and availability.

    What is unstructured data?

    Unstructured data refers to data that does not have a well-defined or easily recognizable structure. Unlike structured data, which is stored in a specific format and can be easily processed by computers, unstructured data is often stored in a more ad hoc manner and can be difficult to extract meaningful information from. Examples of unstructured data include text documents, emails, images, audio and video files, and social media posts. This type of data is often more difficult to analyze, as it requires more advanced tools and techniques to extract meaningful insights from it. Nevertheless, unstructured data can contain valuable information that can be used for various purposes, such as marketing and customer insights, risk management, and market analysis.

    How to combat those anti-scraping tools?

    Combating anti-scraping tools can be challenging, as these tools are specifically designed to prevent automated scripts and bots from accessing websites and services. However, there are some strategies that you can use to reduce the likelihood of encountering anti-scraping tools:

    1. Slow down your requests: If you are making a large number of requests to a website in a short period of time, you may trigger its anti-scraping system. Slow down your requests and avoid making them all at once to reduce the likelihood of encountering anti-scraping tools.
    2. Use a different IP address: If you are using an IP address that has been associated with previous malicious activity, you may be detected as a bot and blocked by the website's anti-scraping tools. Consider using a different IP address, such as a virtual private network (VPN), to reduce the likelihood of encountering anti-scraping tools.
    3. Mimic human behavior: Anti-scraping tools are designed to distinguish between human behavior and automated scripts. By mimicking human behavior, such as typing speeds and mouse movements, you may be able to reduce the likelihood of encountering anti-scraping tools.
    4. Use web proxy services: A web proxy service can help hide your IP address and location, making it more difficult for websites to detect your requests as coming from an automated script.
    5. Respect the terms of service of websites: Some websites explicitly prohibit scraping in their terms of service. By respecting these terms and using websites for their intended purposes, you can reduce the likelihood of encountering anti-scraping tools.

    It's important to note that the use of anti-scraping tools is becoming more common, and websites and services are constantly developing new and more sophisticated ways to detect and prevent scraping. By being respectful of the terms of service of websites and using them for their intended purposes, you can reduce the likelihood of encountering anti-scraping tools and help ensure that the internet remains a safe and secure place for everyone.

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