Free Proxy Hostname and Port

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 free proxy hostname and regularly check for updates on our website.

FAQ

    Are free proxies safe?

    Free proxies can be risky to use because they often lack the security measures that paid proxies have. Because free proxies are typically run by individuals or organizations with limited resources, they may not have the capability to implement advanced security measures to protect their users' data.

    Additionally, free proxies can be more susceptible to hacking, malware, and other types of cyberattacks. This is because free proxies may not have the same level of investment in security as paid proxies, and they may not be able to afford the same level of security measures.

    Another concern with free proxies is that they may be used for malicious purposes, such as to hide the identity of spammers or hackers. This means that if you use a free proxy, you may be unknowingly participating in illegal or unethical activities.

    In conclusion, while free proxies may seem like a convenient and cost-effective solution, they can come with significant risks. If you need to use a proxy for privacy or security reasons, it's generally better to use a paid proxy that has a proven track record of security and reliability.

    Is Node.js Good for Web Scraping?

    Yes, Node.js is a good choice for web scraping. Its asynchronous and non-blocking nature allows you to handle multiple requests efficiently, which is important when scraping large amounts of data from websites. Additionally, Node.js has a large and supportive community, which means that you can easily find solutions to any problems you encounter while scraping websites. There are also a variety of libraries and tools available in Node.js that make it easy to perform web scraping, such as Puppeteer, Axios, and Cheerio, to name a few. So, if you're familiar with JavaScript and Node.js, this could be a good option for your web scraping needs.

    How to scrape YouTube comments with Python?

    Scraping YouTube comments with Python can be done using the Python Requests library and BeautifulSoup library. These libraries allow you to send HTTP requests to websites and retrieve the HTML content of the pages. You can then parse the HTML content to extract the comments and other data from the page.

    Here's an example of how to scrape YouTube comments with Python:

    makefile
    import requests
    from bs4 import BeautifulSoup
    # Make an HTTP request to the URL of the YouTube video
    url = "https://www.youtube.com/watch?v=video_id"
    response = requests.get(url)
    # Parse the HTML content of the page
    soup = BeautifulSoup(response.text, "html.parser")
    # Find the comments section in the HTML
    comments_section = soup.find("div", {"id": "comments"})
    # Extract the comments from the HTML
    comments = comments_section.find_all("div", {"class": "comment-text-content"})
    # Iterate through the comments and print them
    for comment in comments:
    print(comment.text)

    Please note that this example is just an illustration and may not work on all YouTube videos as the structure of the HTML may change. Also, it's important to respect the terms of service of websites you scrape, including YouTube, and only use their APIs or other methods approved by the website when scraping their data.

    Why Scrape Instagram Followers?

    People or organizations might scrape Instagram followers for a variety of reasons. Some of the reasons for scraping Instagram followers include:

    1. Market research: Understanding the demographics and interests of a target audience can help companies improve their marketing strategies. Scraping Instagram followers can give insight into the age, location, gender, and interests of a user's followers.
    2. Competitive analysis: By scraping the followers of competitors, businesses can see what works for their competitors and what doesn't. This information can be used to develop better marketing strategies and improve their own social media presence.
    3. Influencer marketing: Scraping Instagram followers can help businesses identify potential influencers to partner with. By analyzing the followers of influencers, businesses can get a better understanding of the target audience they are reaching through influencer marketing.
    4. Data analysis: Scraping Instagram followers can provide a large amount of data that can be analyzed to uncover patterns and trends. This information can be used to make data-driven decisions about marketing and business strategy.

    It's worth noting that scraping Instagram followers is not officially supported by Instagram, and the platform has taken steps to prevent scraping in the past. Additionally, the use of automated tools to scrape data from the platform may violate Instagram's terms of service. Before scraping Instagram followers, it's important to carefully review and understand Instagram's policies to ensure that you're not breaking any rules.

    What are the benefits of using parsing software?

    Parsing software, also known as web scraping software, can extract data from websites and other sources, making it possible to automate data collection and analysis. The following are some of the benefits of using parsing software:

    1. Time-saving: Parsing software can automate the process of data collection, saving significant amounts of time compared to manual data collection methods.
    2. Increased efficiency: Parsing software can extract data from multiple sources and in large quantities, allowing for more efficient data collection and analysis.
    3. Improved accuracy: Parsing software can extract data more accurately and consistently than manual methods, reducing the potential for human error.
    4. Access to large amounts of data: Parsing software can extract large amounts of data from various sources, providing valuable insights and enabling data-driven decision making.
    5. Cost-effective: Parsing software can be cost-effective, especially when compared to the costs of manual data collection and analysis methods.

    In summary, parsing software can automate the process of data collection, increase efficiency and accuracy, provide access to large amounts of data, and be cost-effective. These benefits make parsing software a valuable tool for organizations looking to improve their data collection and analysis processes.

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